TechRadar News

Kimi is the AI assistant developed by Moonshot AI, a Beijing-based company that built its reputation on long-context processing long before that became standard. The platform runs on Kimi K2.6, an open-weight Mixture-of-Experts model released in April 2026, and it has made real inroads among developers looking for frontier-quality AI at a lower cost than OpenAI or Anthropic.

Two things set Kimi apart. Its API pricing sits around $0.55 per million input tokens against GPT-5.4's much higher rates, and its Agent Swarm architecture can coordinate up to 300 parallel sub-agents for large-scale automated workflows. The platform also covers the full office productivity stack with Slides, Docs, Sheets, and a website builder under one subscription.

We've been reviewing B2B software at Techradar Pro since 2012. You can also check out our other generative AI coverage, including our best AI tools roundup and our 2026 vibe coding buying guide.

What is Kimi?

Kimi is an AI chat assistant and agent platform from Moonshot AI. It launched in October 2023 with a focus on long-context processing, and its first version handled 128,000 tokens of context, which was exceptional at the time. The platform has since grown into a broader productivity suite covering deep research, document creation, coding, and multi-step agentic automation.

The underlying K2.6 model uses a 1-trillion-parameter Mixture-of-Experts architecture with around 32 billion parameters activated per token, keeping inference costs low while maintaining strong benchmark performance. It supports a 256K–262K token context window and processes text, images, code, and video natively.

Kimi targets developers, researchers, and teams running demanding workloads. Casual users get good value from the free tier, but the platform's design clearly aims at power users who need more than a chatbot.

Kimi: At a glance

Attribute

Notes

Underlying model(s)

Kimi K2.6 — 1T-parameter MoE, 32B active params, 256K–262K context, native multimodal

Best for

Deep research, long-document analysis, agentic coding, full-stack web generation

Distinguishing functions

Agent Swarm (300 sub-agents), Kimi Code, Deep Research, Claw Groups, WebBridge

UI features

Four response modes: Instant, Thinking, Agent, Agent Swarm; available on web, iOS, Android

Subscription costs

Adagio (Free), Moderato ($19/mo), Allegretto ($39/mo), Allegro ($99/mo), Vivace ($199/mo)

API pricing

Around $0.55/M input tokens and $2.65/M output tokens; OpenAI-compatible; context caching cuts input costs by up to 75%

Buy it if…

• You need a capable coding assistant at a lower price point. Kimi Code, available from the Moderato tier upward, pairs K2.6 with terminal and VS Code integration and holds up well on multi-file refactors.
• Your work involves very long documents. The 262K-token context window lets you work through large contracts, codebases, or research papers in a single session without manually chunking content.
• You're building agent-driven automation. Agent Swarm on the Allegretto plan can coordinate up to 300 parallel sub-agents across 4,000 coordinated steps, a serious option for teams with research or data processing pipelines.

Don't buy it if…

• You need live customer support. Kimi's support is self-serve through a help center and community channels, with no live chat or phone line.
• Data residency is non-negotiable. Moonshot AI is a Chinese company. Teams in regulated industries or with strict EU/US data sovereignty requirements should verify Kimi's data policies before committing.
• Agent Swarm is your main draw but you want entry-level pricing. Full agentic features only unlock at $39/month and above, while the free tier limits you to one concurrent task.

My time with Kimi

My first session was document-heavy. I dropped two long PDFs into the same conversation and asked Kimi to cross-reference specific sections. The results were accurate and well-organized, and the platform held up when I pushed with follow-up questions. That long-context handling is one of Kimi's strongest suits, accessible even on the free tier.

I also tested Kimi Code on a Python refactoring task. The output was clean, and when I asked it to explain architectural decisions, the reasoning held up. It's not quite at the same level as Claude Code for structured explanations, but the price difference makes the trade-off easy to accept for many workflows.

Agent Swarm on the Allegretto plan handled a competitive research task reasonably well, but the orchestration was not always transparent. A few sub-tasks returned incomplete results without flagging them as such, so I had to verify outputs manually. The platform has improved since K2.5, where tool call failures reportedly ran around 12%, but production users should still build in a review step.

Kimi: Features

Kimi's four response modes cover most use cases without requiring much configuration. Instant works for quick answers, Thinking for step-by-step reasoning, Agent for research and creation tasks, and Agent Swarm for parallel execution at scale.

Deep Research runs multi-step research workflows autonomously, pulling from web sources and producing structured reports. The output quality is good enough for first drafts, and the process shows which sources were used. Kimi Code supports multi-file editing and autonomous bug-fixing; Moonshot's documentation references coding sessions running continuously for over 13 hours on complex tasks.

The productivity suite covers Slides, Docs, Sheets, and Websites, giving Kimi a broader surface area than most chat platforms. The Websites tool generates full-stack sites from a single description, including frontend, backend, and database layers. These tools aren't the most polished in their respective categories, but having them integrated into one platform adds real convenience for teams with varied workflows.

Kimi: User experience

The main Kimi interface is clean and web-first. The four response modes are clearly labeled, and mode-switching during a conversation is straightforward. A memory system carries context across sessions when you want it to. Mobile apps on iOS and Android work well for basic tasks, though agent workflows are better suited to desktop.

There's no structured onboarding tutorial, so new users will spend time with the help center. It covers everything from getting started through API usage across roughly 12 categories. Community channels on Discord and Reddit are active enough that you'll usually find someone who's hit the same issue.

Kimi: Customer support

Support is self-serve. The help center at kimi.com/help covers memberships, billing, API usage, and troubleshooting in detail. Discord and Reddit communities fill in the gaps for newer features.

What's missing is human support. There's no live chat, no prominently listed support email for general users, and no phone line. For a platform targeting developers running production workflows, that's a gap worth knowing about before you sign up. Enterprise arrangements may exist but aren't clearly documented publicly.

(Image credit: Kimi.com)Kimi: Pricing

• Free (Adagio): Basic K2.6 access, limited agent usage, one concurrent task, no Agent Swarm, no Kimi Code quota.
• Moderato ($19/month): K2.6, Deep Research, Kimi Code, Slides, Websites.
• Allegretto ($39/month): Adds Agent Swarm and a higher professional data quota.
• Allegro ($99/month) and Vivace ($199/month): High-volume tiers; Vivace includes 30x Kimi Code usage and 240 swarm uses per month.

The free tier has no hard daily message limit as of mid-2026, which compares well to ChatGPT's free plan. For developers, API pricing is where Kimi's value is sharpest: around $0.55 per million input tokens and $2.65 per million output tokens, with an OpenAI-compatible endpoint. Context caching cuts input costs by up to 75% for applications sending repeated prompts, making it one of the more cost-efficient frontier options for teams building at scale.

Kimi alternatives you should consider

• ChatGPT (OpenAI): The most widely used AI assistant, with a mature plugin ecosystem. Its $20/month Plus tier is roughly equivalent to Kimi's Moderato plan, but API costs are significantly higher for developers building at scale.
• Claude (Anthropic): Claude Pro at $20/month is a strong choice for document-heavy workflows and structured outputs. Claude Code is well-regarded for teams that prioritize explainability in AI-generated code.
• Gemini Advanced (Google): A natural fit for teams already in the Google Workspace ecosystem, with strong document workflow integration through Drive.

How I tested Kimi

• Ran multi-document research tasks and stress-tested the context window with long technical files to evaluate accuracy across extended sessions.
• Tested the VS Code extension and CLI agent on Python and JavaScript tasks, including multi-file refactors and debugging workflows.
• Ran research and synthesis tasks using Agent and Agent Swarm modes on the Allegretto plan, checking output accuracy and how the platform handled incomplete results.

Kimi is available at kimi.com on a freemium model, with paid plans starting at $19/month. API access is available separately through Moonshot AI's open platform.

HIX.ai started as an AI writing assistant and has since expanded into something considerably more ambitious. The platform now markets itself as an "ultimate AI agent workspace," bundling tools for content writing, deep research, image and video generation, slides creation, coding, and multi-model chat under a single interface. It's a notable evolution, even if the transition has introduced some rough edges.

What sets HIX.ai apart from simpler AI chat tools is the sheer breadth of models on offer. Users can switch between GPT-5.5, Claude Opus 4.8, Gemini 3.5 Flash, DeepSeek-V4, and others from within the same session. For teams or individuals who want to compare outputs or pick the right model for a specific task, that flexibility has real practical value.

We've been reviewing business software at TechRadar Pro since 2012 and AI platforms have become one of our most-covered categories. In recent months, we've also published our best AI tools roundup and deep-dives into platforms like OpenClaw and Moltbook. HIX.ai falls squarely in our coverage area.

What is HIX.ai?

HIX.ai is a web-based AI platform that consolidates multiple AI capabilities into one workspace. Its agents cover text generation, long-form article writing, email composition, image creation, video production, presentation slides, deep research, and coding assistance. You access everything through a shared interface rather than juggling separate subscriptions for each function.

The platform targets a wide audience: content marketers who need to produce copy at scale, students looking for a homework or essay tool, small business owners who want a single AI tool to handle email, social posts, and research, and knowledge workers who want to stay inside one tab instead of bouncing between apps.

HIX.ai also offers a browser extension that works across Gmail, Google Docs, LinkedIn, Twitter, and most major web platforms. A desktop app is available alongside the main web interface, making it one of the more cross-platform options in this category.

HIX.ai: At a glance

Attribute

Notes

Underlying model(s)

Multiple, including GPT-5.5, Claude Opus 4.8, Gemini 3.5 Flash, and DeepSeek-V4 variants

Best for

Content creators, students, marketers, small businesses, researchers

Distinguishing functions

Multi-agent coordination, deep research reports, AI video/image/slides, browser extension

UI features

Web app, desktop app, Chrome/Edge/Firefox browser extension with sidebar

Subscription costs

Free (20 credits/month), paid plans from approximately $13/month billed annually

API pricing

No public API available

Buy it if…

• You want one platform for everything. HIX.ai removes the need for separate subscriptions for writing, image generation, and research. That consolidation saves both time and money for users currently paying for multiple tools.
• You want model choice without switching apps. The ability to call GPT-5.5, Claude, Gemini, and DeepSeek from a single interface is a real convenience, especially when different tasks call for different models.

Don't buy it if…

• Billing transparency matters to you. Multiple users across review platforms have reported being charged for annual plans they believed were monthly. HIX.ai's refund window is three days, which leaves little room for course correction.
• You need predictable usage. Credits don't roll over between billing cycles, and the "Unlimited" label on paid plans applies only to standard credits. Advanced features are still capped, which surprises users expecting truly open access.

My time with HIX.ai

I spent several sessions testing HIX.ai across its main agent categories. The multi-model chat interface impressed most immediately: switching from Gemini 3.5 Flash to Claude Opus 4.8 mid-conversation takes a few clicks, and responses feel snappy enough for practical work. The deep research agent was particularly useful, pulling together sourced summaries on a complex topic faster than a manual web search.

The browser extension held up well in Gmail and Google Docs. Highlighting a paragraph and getting a rewrite option surfacing instantly, without opening a new tab, is the kind of friction reduction that matters when you're working fast. The image generation tools produced serviceable results, though I found the credit consumption less predictable than I'd have liked.

Where the experience wobbles is in understanding what you're paying for. The credit system splits between standard and advanced buckets, and it isn't always clear which agent or model draws from which pool. New users should read the plan details carefully before committing to a billing cycle.

HIX.ai: Features

HIX.ai's feature roster is unusually wide. The platform covers AI chat across multiple frontier models, a long-form article writer, email and social copy tools, a paraphrasing and summarization engine, image generation via Midjourney, Flux, and GPT Image 2, video generation via Seedance 2.0, Veo 3.1, Sora 2, and others, a slides agent, and a deep research tool that produces structured reports with real-time internet access.

The deep research agent is one of the more differentiated offerings. Rather than a standard web search, it compiles structured, sourced reports on a given topic, making it useful for due diligence, competitive analysis, or academic research. Real-time internet access is included on paid plans, which keeps output current rather than frozen at a training cutoff.

On the writing side, the 120+ AI writing templates cover a broad range of formats, from ad copy to blog outlines to product descriptions. The long-form article writer handles structure and headings reasonably well, and the AI Writer agent supports markdown and rich text outputs, which makes it easier to paste results into a CMS or document editor.

The platform's weakest spot by reputation is HIX Bypass, its AI humanizer tool. Multiple independent reviews and user reports flag inconsistent results against modern AI detectors, particularly after Turnitin's 2025 updates. HIX.ai positions this as a key feature, but anyone relying on it for academic or professional compliance should test it carefully before committing.

The multi-agent coordination feature, available across all tiers, lets different agents pass context between tasks. In practice, a research output can feed directly into a writing task without manual copy-paste, which speeds up structured workflows considerably.

The video and image agents round out a platform that few competitors match in raw breadth. Whether that breadth delivers depth at every point is a fair question; some agents feel more developed than others. But for users who want to consolidate tools, the coverage is hard to beat.

HIX.ai: User experience

The interface is clean and navigation between agents is straightforward. The sidebar layout keeps the main workspace uncluttered, and the model switcher is tucked sensibly into the chat header rather than buried in settings. For new users, the onboarding path is light: a working chat session is within reach in under a minute.

The browser extension is where the experience stands out. HIX.ai has put real thought into how it surfaces inside other platforms: the quick-action bar appears when you highlight text, and the full sidebar opens on demand. For anyone doing a lot of writing inside web apps, this integration removes the switching cost that blunts many AI tools, and the learning curve for core features is minimal.

HIX.ai: Customer support

Support is available via email across all plans, with priority support reserved for paid subscribers. The HIX.AI Community forum is open to all tiers and covers common issues and feature requests. Response times on the email channel have drawn complaints in user reviews, with some reporting delays of multiple days for billing queries specifically.

The three-day refund window is short by industry standards. Platforms like ChatGPT Plus and Jasper offer more flexible cancellation terms. Given the annual billing complaints that appear consistently in user feedback, the lack of a longer trial-to-refund period is a genuine sticking point for new subscribers.

(Image credit: HIX.ai)HIX.ai: Pricing

• Free plan: $0/month with 20 credits, enough to test core features but limited for sustained work.
• HIX AI Max: Billed annually; includes unlimited standard chat models, advanced models, video, image, and all agent features including deep research, AI slides, and priority support.
• HIX AI Pro: Billed annually at a higher tier, with different credit allocations across advanced features.

The free plan offers real access to the platform with no credit card required, though 20 credits runs out quickly once you start testing agents. Paid plans are priced on a credit system that splits standard and advanced usage into separate buckets. SoftwareSuggest, which updated its pricing data in April 2026, lists the starting price at $13/month on annual billing, with higher tiers scaling up from there.

HIX.ai's various product verticals (AI Writer, HIX Bypass, the browser extension, EssayGPT) each carry separate subscription structures for legacy users, adding complexity to an already layered pricing model. The newer unified workspace tiers (Free, Max, and Pro) simplify this somewhat, but the credit system still rewards careful reading before you subscribe. Annual billing delivers the best per-month rate, though it comes with the billing caveats noted above, and there is no public API for developers.

HIX.ai: alternatives you should consider

• ChatGPT Plus ($20/month): Similar multi-model access via GPT-5 and o3, with simpler pricing and a stronger track record on billing transparency.
• Jasper ($39/month billed annually): Focused on marketing and long-form content. Less breadth than HIX.ai but stronger output consistency on brand voice tasks.
• Perplexity Pro ($20/month): If deep research is your primary use case, Perplexity's research-first approach and real-time citations are hard to beat at this price point.

How I tested HIX.ai

• Ran multi-agent workflows across the chat, deep research, and writing agents to evaluate inter-agent handoffs and model-switching convenience.
• Tested the browser extension inside Gmail and Google Docs on multiple sessions, focusing on responsiveness and quality of inline suggestions.
• Evaluated output quality across standard chat, long-form article generation, and the image creation tools using consistent prompts to benchmark against competitor platforms.

I spent approximately two weekdays with HIX.ai across different workloads, including research tasks, marketing copy drafts, and content editing sessions. Pricing information was cross-referenced against the official HIX.ai pricing page and third-party review sources updated in 2026. Feature details were drawn from the platform's live interface and official documentation.

Decentralized, encrypted, and completely private messages. That's what Session promises.

You may never have heard of the app, but for its 1.7 million monthly users, Session is an important piece of privacy tech worth fighting to sustain.

Due to a severe funding shortfall, Session was expected to cease operations this week. However, after securing $200,000 to keep the project afloat, the team is now ready to look ahead.

Session co-founder Chris McCabe described the app as a "critical tool for fighting against an Orwellian future." But what is Session, and what does it offer that mainstream giants like Signal can't?

How Session survived its financial crisis

Launched in 2018, the project originally sustained its decentralized infrastructure through its own crypto tokens. According to McCabe, the Session Technology Foundation (STF) sold roughly $2.4 million worth of tokens toward the end of 2024 to keep the project going.

However, the model wasn't sustainable and, when a crisis in the crypto market drained Session's finances last year, the founders were forced to terminate the contracts of all 16 of their team members.

Unwilling to let the platform die, the founders scrambled for alternative lifelines. Following a high-profile emergency donation from Ethereum co-founder Vitalik Buterin — who gifted 128 ETH to support the app's mission — the foundation decided it was time to turn to its user base for long-term survival.

Without additional funding, Session's doors will close next month. Please read this appeal from Session co-founder Chris McCabe.https://t.co/nTJCocoDwIMarch 19, 2026

That grassroots fundraising campaign ultimately paid off.

To date, Session has received hundreds of community donations totaling $205,000. While that is still a long way off the project's ultimate $1 million sustainability goal, it is enough to keep the platform operational, albeit with far fewer resources than it once had.

"This funding allows us to retain three developers and one community operations person to maintain the app," McCabe explains.

How Session protects your messages

(Image credit: Session)

"Send messages, not metadata" is Session's mantra. To back this up, the app uses a variety of advanced techniques to ensure users' messages remain private and secure.

From basics like end-to-end encryption to the use of a decentralized infrastructure and onion routing, Session goes significantly further than mainstream messaging apps.

"Session is completely trustless," McCabe told TechRadar. "You don't even have to trust us because the open-source code guarantees your security."

In the future, the app's design should also make it less vulnerable to increased surveillance and monitoring, such as the initiatives currently being proposed in Canada, the EU, and the UK.

Did you know?

(Image credit: Photo by Darrian Traynor/Getty Images)

In October 2024, the platform's creators shifted operations to Europe to help protect users' privacy. The move allowed the team to escape an Australian legal landscape that the founder described as "increasingly hostile" toward encrypted apps, relocating to the traditionally privacy-friendly jurisdiction of Switzerland.

Because the platform is open source, McCabe claimed the app can continue to operate even in countries where it has been banned from mainstream app stores, noting that users can easily bypass those restrictions by sideloading the app on Android devices.

And what happens if a repressive government demands data about an individual user? McCabe noted that the foundation simply couldn't comply, saying: "It's technically impossible for our company to copy or store that data."

Crucially, users do not need a phone number or email address to sign up for the service. That anonymity is especially beneficial for citizens in conflict zones or highly restrictive digital environments, where hostile governments can block SMS two-factor authentication messages to cut off access to mainstream messaging networks.

So, how exactly does Session stack up against mainstream giants like Signal?

Is Session really better than Signal?

(Image credit: Michele Ursi / Shutterstock)

Signal is widely recognized as the gold standard for privacy-preserving messaging apps. Like Session, it is fully open-source, collects minimal metadata, and uses advanced end-to-end encryption via the Signal Protocol.

While McCabe agrees that "Signal is great," he believes that being completely decentralized and eliminating the need for a phone number tips the scales in Session's favor.

However, not everyone in the cybersecurity community shares this view.

A prominent cryptanalyst who uses the pseudonym Soatok has publicly argued against switching from Signal to Session. A major point of criticism is Session’s decision to remove Perfect Forward Secrecy (PFS) — an important security feature that ensures that past chats remain private even if a user’s long-term identity keys are compromised in the future. Soatok also suggested that Session contained several other cryptographic flaws and implementation mistakes.

Bill Budington, Senior Staff Technologist at the Electronic Frontier Foundation (EFF), backed Soatok’s analysis, telling TechRadar that Session appears to be another aspiring Signal competitor that "comes up lacking on its security claims."

Mohammed Al-Maskati, the Digital Security Helpline Director at Access Now, shared this concern. He argued that sticking with a widely implemented standard like the Signal Protocol is generally a safer option because it significantly reduces the risk of making critical errors during development.

Responding to these critics, McCabe explained that while Session initially relied on the Signal Protocol, the team was forced to build its own encryption method because Signal's architecture wasn't designed to handle a decentralized node network.

However, he confirmed that PFS is officially slated to be reintegrated into the platform with the upcoming Session Protocol V2 upgrade.

Security experts have also pointed out that Signal remains a stronger choice for most users due to the sheer size of its network, which makes it far easier to use with friends and contacts.

However, McCabe rejects the idea that popularity equates to security, arguing that by that logic, WhatsApp would be considered a better privacy option than Signal. "Which it is not," he said.

What’s next for Session?

As Session prepares to enter its next phase, the foundation is focused on achieving long-term financial sustainability.

To generate steady revenue, the platform plans to launch a premium subscription tier called Session Pro. Similar to Telegram Premium, Session Pro will offer power users advanced features — such as higher message character limits, expanded group sizes, more pinned chats, and animated profile pictures — backed by cryptographic proofs that preserve user anonymity during payment.

Most pressing, however, is finalizing Session's Protocol V2. Beyond reintroducing Perfect Forward Secrecy (PFS), it will also introduce post-quantum cryptography to secure users' chats against 'harvest now, decrypt later' threats.

While the wider InfoSec community continues to be divided on whether Session's custom architecture outperforms legacy rivals, the core team remains fiercely dedicated to the project.

"Many former team members are incredibly passionate and are taking pay cuts or donating their time to help get it back together," said McCabe.

And with mandatory age verification, lawful access to data, and encryption backdoors challenging the very notion of online privacy globally, it seems that messaging app like Session are going to become increasingly important.

As McCabe puts it: "People often don't realize they need this level of privacy until things go really badly and freedom of speech is restricted."

If you want to support the platform, Session continues to accept donations directly through its official website and mobile application.

Restaurant owners are feeling the pinch, through consistently rising costs of ingredients, labor and energy bills.

There is however a less visible profit drain: the silent loss of the phone ringing unanswered as the kitchen struggles to cope.

It’s lost business in disguise, and another area where the customer experience can let down a restaurant in its busiest moments.

Despite the growth in online orders, phone ordering still happens. But the point is when it occurs: phone orders spike at the exact moment a restaurant is slammed during service.

A quick-service restaurant that faces heavy load during its peak hours is likely to see the greatest inbound volume of calls at the same time: Friday or Saturday night.

The owner is forced to choose between answering the phone and dealing with existing customers and orders.

Neither scenario is ideal, nor does it do anything good for the customer experience.

Why traditional workflows fail to scale

Many solutions deployed in the hope of managing phone orders have failed to scale or were prohibitively expensive. Hiring additional personnel to attend to phone lines is costly, and the employee still cannot take more than one call at a time.

Even in this scenario, callers may have to wait on hold, leave voicemail, or receive a busy signal. Then, it becomes frustrating to try and connect to the restaurant again when waiting in line.

There’s also the question of precision. The most mistakes happen under pressure: misunderstood orders, incorrect delivery locations, allergy-related instructions missed. While some of those mistakes may only constitute bad customer experience, others lead to waste, losses, refunds, and sometimes, lost customers.

Finally, the opportunity cost of having employees talk to customers instead of doing other things is huge: each minute they spend talking on the phone is a minute spent not preparing meals, dealing with issues of in-store customers, or completing deliveries on time.

What do AI voice agents bring to the table?

AI voice systems can significantly improve the customer experience across a few critical use cases:

Availability: the system is available to pick up every phone call, no matter how busy the restaurant may be inside. There’s no on-hold messaging queue, no hold music, voicemail message, and most importantly, no missed calls.

Concurrency: a human agent can focus on one call at a time. The AI system, however, can manage multiple calls simultaneously, which is especially useful during the moments of peak demand.

Accuracy through confirmation: if done right, AI systems repeat the order before confirming it to eliminate errors and mistakes from the process entirely.

Intent-based conversations: not everyone calls in with the intention of placing a new order. Some have questions, want to update their existing order, or do something else entirely. A properly managed implementation will ensure that the phone system knows what the caller intends to do and collects the information necessary to complete the request successfully.

It also guarantees that every interaction with the phone agent goes through the same steps: identifying intent, gathering data, fulfilling the request, confirming its completion, and providing a smooth user experience.

More precise recommendations: AI-powered recommendations are always relevant and consistent throughout the entire conversation. They are not distracting or annoying and help to boost orders’ value.

One useful way to sanity-check the value is simple volume. One recent rollout reported an AI phone agent processing over 4,000 orders in three months, and capturing thousands in orders from the busiest sites.

More importantly, calls were answered immediately even at peak, and concurrency stopped being the bottleneck.

Why is the technology finally practical?

Voice automation technology is no novelty anymore, but the recent advances in the field are all about speed and intent recognition. More advanced algorithms mean fewer misunderstandings. Improved integration with ordering systems helps to implement voice as a channel of communication, allowing businesses to serve more customers during peak times.

Two other changes are making a difference in real deployments: localization of voice, and better menu understanding. This means when a customer does not know the exact name of a dish, the phone agent can still find what they mean without turning the call into a guessing game.

Practical implementation: where to deploy voice systems

The strongest signals here are the number of incoming calls and a complicated multi-site operation. But even the smaller restaurants with a handful of calls per day can be good candidates for voice automation due to the inefficiencies associated with having an employee to attend to the phones. Automation replaces a fixed staffing cost with something you can scale up and down.

The following are the guidelines for responsible deployments:

Structure around intents: not everyone calls in for an order; therefore, the phone agent should handle ordering, updating the order, and answering questions efficiently, offering clear prompts and a consistent user experience at each step of the interaction.

Transparency: the system should notify callers about the automation process and inform them if the conversation might be recorded.

Over time, the most useful systems also get more flexible around how orders are completed. For example, enabling cash ordering where it makes operational sense, or sending an SMS link if someone abandons the order mid-call, with the basket pre-filled so they can finish on their phone. Those are small touches, but they remove friction in the moments where customers typically drop off.

Implementing voice automation in the restaurant operation allows managers to scale easily, provide consistent customer experience, and generate more orders in the process.

Not futuristic, but practical

Framing voice technology as a future-state project does not benefit the hospitality industry. Voice technology is available now and brings a significant ROI from the revenue you are already generating.

The telephone line has become a nuisance in many restaurant operations for too long. Implementing a proper phone management strategy turns it into an operational channel you can manage.

We've listed the best POS systems for restaurants.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

• Palo Alto Networks CEO Nikesh Arora says 90% reduction in AI pricing is needed to drive widespread adoption, 20% reduction by next year
• OpenAI's latest GPT-5.6 Sol model is 54% more efficient across agentic coding tasks
• Shift to consumption-based models is making high costs even more pronounced

Palo Alto Networks CEO Nikesh Arora has warned that AI pricing is still too high for widespread enterprise adoption, arguing that it should be drastically cheaper.

Although model efficiency and performance have come a long way in recent years, he believes cost remains one of the biggest barriers for widespread adoption.

In a recent interview with CNBC, Arora laid out how he believes token prices need to fall by as much as 90%, however he acknowledges that the change is unlikely to happen immediately, instead welcoming a 20% price reduction over the next year or so.

Is AI pricing holding enterprises back from widespread adoption?

Arora's comments come in response to OpenAI's latest announcement, revealing that its latest GPT-5.6 Sol model is now 54% mode token-efficient across agentic coding tasks – a major improvement.

Though Palo Alto Networks' CEO admitted that this in itself is a good start, it's not enough of an improvement to drastically change pricing for major enterprises at the moment.

"It's important to understand the demand continues to be infinite," he added, implying that cost remains prohibitive. The issue of cost is also becoming more of an issue as AI companies evolve their pricing strategies, with customers moving toward consumption-based models rather than flat monthly fees per user.

Importantly, Arora's vision for cheaper AI isn't unfounded. Virtually all previous technological revolutions have already followed a similar pattern. In the case of AI, compute would become cheaper, models would become more efficient and competition could keep prices low, all working in the favor of enterprise customers.

Ready to relax this weekend in front of your TV (or smartphone, I'm not judging)? Some of you will do well to find something worth enjoying on the world's best streaming services.

Indeed, it's been a surprisingly quiet week for new movies and TV shows. And, while there's just enough to fill this week's streaming round-up, a few of you might not be enthused by how weak the selection is compared to past editions

Still, I'm holding out hope that one of the below will pique your interest. If not... well, there's always the 2026 World Cup quarter finals to watch instead! — Tom Power, senior entertainment reporter

Little House on the Prairie season 1 (Netflix)

Netflix has made it 1974 all over again! The Ingalls family return to the small screen in this adaptation of Little House on the Prairie (NB: read my Little House on the Prairie review while you're here), which is based on Laura Ingalls Wilder's book series namesake.

Essentially, this story, which sees protagonist Laura navigates her childhood days on the Prairie lands of Kansas, is comfort watching at its peak. And, while its typical "Netflix look" can be grating, if you look past the form, the content is meaningful. Season 2 is already on the way, too, and I'm already looking forward to it. — Jasmine Valentine, entertainment reporter

• Watch Little House on the Prairie season 1 on Netflix

The Westies (MGM+ and Prime Video)

Searching for a new gritty crime drama to gorge? The Westies, a J.K. Simmons-fronted MGM+ TV Original that's also available on Prime Video, should appeal to you.

Set in the early 1980s, it follows the notorious New York crime family as they navigate mob wars, familial infighting, and an FBI investigation that might unsettle the increasingly fragile truce that the Hell's Kitchen-based syndicate has with the Italian Mafia.

Episodes 1 and 2 of this Amazon TV Original are out now, while new chapters will air weekly every Sunday for the foreseeable future. — JV

• Watch The Westies on MGM+ and Prime Video

The Long Walk (HBO Max)

Francis Lawrence's excellent The Long Walk has strolled onto HBO Max and, in my view,it's one of the best Stephen King adaptations of all-time.

Set in a dystopian 1970s, a group of boys compete in an annual televised competition where they're forced to walk non-stop while maintaining a pace of 4.8 km per hour. If they don't, they're killed. There can only be one winner, too, so the pressure is on.

There are lots of likeable characters here and one very unlikeable one in the form of Mark Hamill's The Major, which is arguably his creepiest performance yet. — Lucy Buglass, senior entertainment writer

• Watch The Long Walk on HBO Max

Trying season 5 (Apple TV)

Apple TV's long running comedy series Trying has returned for its fifth season.

Esther Smith and Rafe Spall return as central couple Nikki and Jason, who we've watched journey to become parents and, now they have two foster children, they're having to navigate unexpected challenges. This season, Kat (Charlotte Riley), the biological mother of Princess and Tyler, returns and causes the family dynamics to shift.

Trying has been praised for its approach to difficult themes, providing both comedy and emotionally charged moments. It's very good to have this Apple TV Original back on our screens. — LB

• Watch Trying season 5 on Apple TV

Wardriver (Paramount+)

Did you really think that we were going to leave you action fans hanging this week? Introducing Wardriver, a new movie that's just dropped on Paramount+ and has already been described by fans online as "great acting of unsavory characters."

In it, we follow a hacker who gets caught up in a deadly game of cat and mouse when he's forced into a multi-mullion dollar cyberheist. There's a real sense of jeopardy here, as every line of code could be his last.

Hopefully, that "last" doesn't come before the end of the movie's pithy 94-minute runtime. But hey, who knows with storytelling these days? — JV

• Watch Wardriver on Paramount+

The Man Will Burn (HBO Max)

No doubt you've heard of The Burning Man, but how much do you know about its roots? You can now experience this iconic arts festival from the comfort of your living room, so you don't even need to to trek out into the desert.

Across four episodes, we go behind the scenes of the eponymous effigy's festival, from its origins all the way up to the present day. There's particular focus on organizing an event of this scale in the aftermath of the COVID-19 pandemic, too.

Both seasoned "Burners" and new arrivals feature in the documentary, giving us a complete look at the festival and how it has evolved over time. — LB

• Watch The Man Will Burn on HBO Max

Married at First Sight season 20 (Peacock)

Despite all the controversies surrounding the international versions, we're returning to where it all began with Married at First Sight. Just as Love Island USA comes to an end as well, so perfect timing.

You know the score here: 14 new singles will agree to marry someone they’ve never met, and see if their newfound relationship was actually worth saying "I do" for.

Experts Paul C. Brunson and Doctor Lisa Paz are returning to oversee the drama and, judging by the above trailer, the weddings themselves genuinely look the chicest they've ever been. — JV

• Watch Married at First Sight season 20 on Peacock

• Bad Apples has been given a global theatrical release date after premiering at TIFF
• A new trailer confirmed the movie would be in theaters from September 18 for viewers in the UK and US
• The dark comedy is the English-language debut for Jonatan Etzler

Bad Apples may have fallen under the radar after its TIFF debut, but the new dark comedy movie finally has a global release date.

The Saoirse Ronan led movie will be in UK and US theaters from September 18, and we've got a brand new trailer to celebrate the new movie's theatrical release thanks to Paramount Pictures.

Bad Apples follows Maria, a teacher who becomes frustrated when her class of ten year olds is disrupted by one unruly pupil, Danny (Eddie Waller). When Maria accidentally kidnaps Danny and holds him hostage in her house, it sets off an unexpected chain of events.

Take a look at the trailer below.

Bad Apples looks like a perfect blend of comedy and drama, and I can't wait to see it

This is the kind of movie that reels me in instantly. We've got a seemingly ordinary main character in the form of a schoolteacher, who then goes on to make very questionable characters.

The plot of Bad Apples teases that Maria sees her class performance improve once Danny is "missing", which gives her a moral dilemma. Should she release him or keep him held in her home, where he's not disrupting the rest of her class?

Bad Apples is based on the novel De Oönskade (The Unwanted) by Swedish author Rasmus Andersson, which is described as a satirical thriller. So I'm expecting a lot of timely commentary in this movie, which will soon be widely available in theaters.

The movie currently has an 83% Rotten Tomatoes score, with critics praising the story, performances and soundtrack. So it's promising stuff already.

September 18 is a long wait, but thankfully we have plenty of recommendations to keep you entertained until then. If it's horror you're after, check out my round up of the best horror movies to stream in July.

Or, if you'd like more general Paramount movies, check out the best movies to watch on Paramount+.

• Samsung is reportedly giving up on small-screen foldables
• That means the upcoming Galaxy Z Flip 8 could be the last in the series
• It's a credible claim, but if enough people vote with their wallet perhaps the Flip line can still be saved

The Samsung Galaxy Z Flip 7 is a superb phone, achieving 4.5 stars in our review. But despite its excellence, Samsung might be giving up on this clamshell series after the Galaxy Z Flip 8 launches.

This is according to reputable leaker @UniverseIce, who stated on X that “the Samsung Galaxy Z Flip 8 is likely to be Samsung's last small folding product.”

They didn’t say why that might be, but we can take a guess. For one thing, while the Flip line used to be Samsung’s most popular foldable phone series, there’s evidence that this trend could be starting to change. For example, FN News reported that in South Korea at least, the Samsung Galaxy Z Fold 7 received more pre-orders than the Z Flip 7.

The Samsung Galaxy Z Flip 8 is likely to be Samsung's last small folding product. pic.twitter.com/9zN4nNRLT2July 9, 2026

So there could be a growing appetite for large-screen book-style foldables, which makes sense given that larger conventional phones tend to outsell compact models. And with the book-style iPhone Ultra reportedly launching this year, the appetite for that style of foldable is only likely to grow.

Plus, arguably one of the main selling points of the Z Flip line was that it provided a relatively affordable way to get a foldable phone, but with rising memory costs that might cease to be the case.

And on top of all that, Samsung is reportedly launching a shorter, wider book-style foldable this year alongside its conventional successor to the Galaxy Z Fold 7, with this new form factor being bigger than a Flip but still smaller than the company’s current large-screen foldables. So Samsung might see this as something that fans of smaller phones could buy instead of a new Flip.

A phone that would be missed

(Image credit: Zachariah Kelly / TechRadar)

While this claim from @UniverseIce is believable, I certainly hope they’re wrong. Despite all the reservations above, the Flip is still an appealing line of fofldables.

They’re extremely compact when folded shut, which is sure to appeal to some people, and even with rising memory prices they’re likely to remain cheaper than book-style foldables. So it would be a shame for choice and variety if they disappeared.

Still, it’s likely that Samsung will be looking at sales of the Samsung Galaxy Z Flip 8 and the new wider Galaxy Z Fold before making any final decisions, so if the former does particularly well or the latter struggles, there’s still hope for a Galaxy Z Flip 9.

In other words, if it’s something you’d like to see then you should vote with your wallet this year and give Samsung’s upcoming clamshell device some love.

For the last three years I’ve been imploring anyone who will listen to assuage the AI Fear Economy and the AI Doomonomics messaging that dominates our current AI news cycle.

The sleepwalkers among us and the ones that stand to financially benefit from the FOBO (Fear of Becoming Obsolete) will continue the walking dead path but many experts are finally disagreeing with the narrative that I have been spearheading for over three years now.

I’ve spent countless hours proving AIs limitations in numerous podcasts, interviews and keynotes along with my “AI Exposed” series. I really cannot find the “off” button for exposing the truth.

If you use AI every day, you know the foundational flaws of the transformer-based generative LLM kingdom.

You see the mistakes, errors, forgetfulness, hallucinations, sycophancy, recency bias, kindergarten math fails, regression to the mean, the waiter problem, no real memory, no real world experience, no determinism, no thinking, no cognition, no sense of time, no real context (environmental, cognitive bias, natural behaviors, awareness, etc.), no uniqueness, no native ethics, no agency, no intelligence (really), no accountability, no “strawberry”. Need more?

AI was never built to do the things the industry is asking it to do. Current LLMs are word predictors. They are the trillion dollar equivalent to an autocomplete on acid. Nothing more.

Workforce Extinction is what the economy is selling but Human+AI empowerment is what will be our final state. We just have to get through the current AI dystopia superbubble burst first unfortunately - which might take a bit more time than we would all like. Remember ATMs? Did they replace bank tellers? No. Remember the corner grocery store? Did Amazon eliminate them after buying Whole Foods in 2017, almost 10 years ago? No.

So how can AI be employed today in partnership with Humans to make them superpowerful?

Human: “This is my 6th meeting today. I’m exhausted.”

AI: “I’ve got your back.”

The bane of our existence, I know certainly mine. I am not talking about the nice small talk or the social and connective tissue that creates strong bonds and trust and loyalty (all of which AI cannot replicate today in the slightest), but the mechanical and mundane meetings that litter our week, every week.

Look at your calendar right now and identify next week’s meetings. Are they “ideation” or “decision making” meetings? The dreaded “Sync” meetings? Or the “Stand-ups”? All of these can be augmented if not completely replaced by AI in a powerful synchronicity that solves the “cold start” problem, immediately empowering you to make sound decisions collectively and collaboratively without you being physically present. After all, ideation is all about tapping into the potentiality of an outcome given all the relevant and contextual facts and information.

The implicit and invisible cognitive biases that humans bring to every meeting every day hold us back. Scour your historical consciousness and you will find thoughts such as “I don’t like this guy, so all his opinions are garbage,” or “I am just going to follow what the boss says,” without really understanding everything. Human gut, instinct, impulse, habits are all driving us unconsciously, invisibly. Unfortunately you are not in control of the productivity wheel.

Human decision-making is unique and infinitely complex

How you see the world, your behavior and decision-making is all unique and infinitely complex, but all patterned by high dimensional mathematics (a.k.a. AI). Synergizing your unique perspectives, ideation and problem solving with an artificial knowledge system like AI can produce incredible results in quality, accuracy and speed resulting in incredible “AI assisted” performance.

We see this confluence every day inside the company and with our customers by building group decisions automatically with each human voice being a part of the discussion to determine the best outcome. Consensus and collaboration without the human in the mix but in their unique voice through their unique prism and in synchronous cognitive sequence allows for easy ownership and accountability, at incredible speed.

And the final kicker that no one is seeing? What are you going to do when Claude or ChatGPT make a bad decision or make an error in judgment? Are you going to fire them? Write them up in Workday? Dock their pay? Good luck. It will never happen. Only humans can be held accountable.

And don’t even get me started on the Token Tsunamis happening right now. Left uncontrolled, companies are spending hundreds of millions of dollars beyond their annual budgets on AI coding and all for what? Where’s the ROI? And the prices for these models are only going higher. The small companies will be priced out very soon.

HUMANS+AI > AI

Luckily the solution is right in front of our noses: the mirror. At the end of the day, AI is only a tool. And a rather crappy tool that needs duct tape (RAG and vector databases), bailing wire (MCP and Frameworks and Agents), bubble gum (guardrails and governance), spittle (memory and state management) and Elmer’s wood glue (evaluation and synthetic testing) just to get a mostly correct answer to the question: “Who is the current US president?” on an offline local model.

All this scaffolding is in place today because the core LLM sucks at all the above. More tokens. More Token Typhoons.

AI today (at best) is Artificial Knowledge that can absolutely be leveraged by smart people and senior staff to produce high quality decision making and actioning. Do not get discouraged, but instead learn how to leverage it. Dive deep and differentiate yourself. Only through leveraging a good tool (like a skill saw) can you frame a house.

The “AI Antidote”

Interpersonal friction and endless alignment meetings are keeping your team from doing their best work. I make it my mission to unblock your team's highest potential, using our AI and turn ideas into decisions in minutes. My team and I harness AI for the betterment of humans to prevent workforce extinction. For now…

We've listed the best video conferencing software.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

• AI data center power consumption will soon exceed the consumption of conventional data centers
• Global data center power consumption has risen by 26% since 2025
• In the US, AI data centers account for 36% of all data center power consumption

Data centers built to add capacity for AI will soon consume more power than conventional data center hardware. Consuming 175 terawatt-hours (TWh) in 2026, predictions take that number to 258 TWh in 2027 - at which AI-optimized data centers will pass conventional data centers for consumption.

Compared to 2025, AI data center power consumption has increased by around 84%.These are the findings of a Gartner forecast that also predicts AI optimized servers to account for 31% of data center power consumption in 2026.

This level of consumption, combined with an excess in electricity demand compared to production, will be the main constraint on future AI expansion, Gartner predicts. But data center consumption as a whole is expected to be 565 TWh in 2026, a 26% increase year over year.

Consumption on the rise, but capacity is slow to expand

When it comes to global consumption, the US accounts for 36% or around 204 TWh of the full 565 TWh of global demand. Within that slice of US demand, AI data centers account for one third, with expected consumption for 2026 to be around 68 TWh.

"Surging demand for compute-intensive AI workloads is driving unprecedented data center power growth, while AI capacity is now constrained by power availability, making data center power security the new battle ground for scaling and protecting margins in the global AI race," said Gartner's Direct Analyst Linglan Wang.

By 2030, Garter predicts that supply will be unable to meet demand once consumption passes the 1,200 TWh mark.

In order to address this constraint, Wang suggested that business leaders and infrastructure providers should focus on upgrading the efficiency of power grids and the hardware that draws the most power such as cooling systems.

A recent Google Cloud report further suggested that to address the rising cost of power consumption, businesses should move from running AI models on a centralized cloud to edge deployments, where the efficiency of these systems is increased with the added benefit of avoiding a global outage of services if the centralized cloud system fails.

But these levels of consumption increase will hardly help to cool the rising anti-data center sentiment in the US, which—when combined with hardware and power production shortages—has seen nearly half of all data centers in 2026 delayed or cancelled.

Via Tom’s Hardware

• Call of Duty: Black Ops and Black Ops 2 were just ported to PlayStation 4 and PlayStation 5
• Aside from an upgraded picture quality, they seem otherwise identical to the original versions
• Some fans are convinced that they just don't feel right, however

Yesterday, Activision treated us to the surprise release of not one, but two Call of Duty ports. You can now buy the original Black Ops and its acclaimed follow-up, Black Ops 2, on PlayStation 4 and PlayStation 5 for the very first time.

They upgrade the resolution of both games on these newer consoles (a substantial step up from the 608p native picture quality of the backwards compatible versions available on Xbox) but otherwise seem almost identical to their original incarnations.

Even some big features that many fans thought would be cut, like Black Ops 2's infamous emblem creator, are present and accounted for.

I picked up copies of the two games immediately with my own cash (there's currently an irresistible 50% discount on them if you have PS Plus) and spent the best part of yesterday evening playing on my PS5. Aside from the crisper picture quality, they're just as I remember.

I replayed the original versions of both games pretty recently too, via second-hand physical copies that I bought for my Xbox Series X to refresh my knowledge of both games ahead of the Black Ops 7 launch — this latest entry is a Black Ops 2 sequel, after all.

Some fans aren't as impressed, though, and argue that the games just don't feel right.

"Black Ops 1 PS5 has a serious controller input lag issue that needs to be adressed [sic] and fixed" argued one poster on r/callofduty. "It surely wasn’t this bad on PS3".

"Sounds like the original launch" another fan replied, with someone else chiming in: "The golden days" and a tongue-in-cheek sobbing emoji.

"BO1 always felt hard to aim in even in the old days compared to BO2. Pretty sure this is normal" added someone else.

Another post similarly reckons that "The responsiveness is terrible. I distinctly remember the original Black Ops 1 feeling way crisper than this". The top comment agrees, complaining that "I’m losing every gun fight because my gun doesn’t fire in time".

Although everything feels fine to me, there's definitely a chance that those playing specific resolutions, on specific TVs, or with features like VRR enabled might be having a much worse experience. I expect some patches will be released in the coming weeks if these claims hold water.

A printer is an absolute staple of the student set-up. The trick is finding one that a) doesn't take years to print a single page and b) offers good value for money. And this is why I always recommend ink tank printers for college and university students.

I've specifically chosen tank printers like the EcoTank, Smart Tank, and MegaTank lines because almost every one you buy comes with a generous amount of bottled ink in the box that can last for your entire time at college or university (and ink is cheaper to buy if you do need to top up). So, you won't need to blow your student loan on expensive inkjet cartridges like I had to!

Our senior printer editor has extensively tested the best home printers and the best ink tank printers - and based on those reviews, I've hand-picked the 6 top cartridge-free printers for students that performed brilliantly for text and phot printing, as well as offering value for money. For each one, click View details to see our review notes and how they fit into student life.

One quick note: because printers often have different model names in the US and UK, they may appear differently here (I know, it frustrates me too). However, I've made sure the links will take you to the identical unit for your region.

My top back-to-school ink tank printers

Epson EcoTank ET-2400

Why it's good for students. It's one of the cheapest ink tank printers around, and it's the one I use on a regular basis. It's an all-in-one for printing, scanning, and copying. Print-outs are good across both text and photos, it's compact, and it's quick enough for most. For me, it ticks all the boxes for general use.

HP Smart Tank 7001

Why it's good for students. We found this HP printer printed quickly, efficiently, with good results across black-and-white and color text documents, while photos feel fresh and vibrant. It features HP's Self-Heal Wi-Fi and automatic two-sided printing.

Read our full review

Pros

• Neat design
• Bluetooth simplifies setup
• HP Smart for desktop
• Plentiful inbox ink

Cons

• Flimsy build quality
• Small display
• Feeble paper handling
• No NFC or USB Host

Canon Pixma G3270

Why it's good for students. A superb budget ink tank printer from Canon here for those that just want a reliable, compact all-in-one without worrying about unnecessary features like automatic two-sided printing, front-loading, and other terribly exciting extras like that.

Read our full review

Pros

• Cheap for a MegaTank
• Affordable ink
• Broad paper compatibility
• Lots of inbox ink

Cons

• Manual duplex only
• No front paper drawer
• Limited paper capacity
• No ADF, or USB Host port

Brother DCP-T780DW

Why it's good for students. Brother's ink tank printer delivered excellent results during our tests. It really shines when it comes to color documents and photographs, where colors popped off the page, and it showed exceptionally detailed resolution.

Read our full review

Pros

• Low running cost
• Versatile paper handling
• Detailed print quality
• Lots of inbox ink

Cons

• Small tanks and bottles
• Bottles do not re-seal
• Only 4 paper presets
• No touchscreen or fax

Epson EcoTank ET-4950

Why it's good for students. Arguably the best of the best right now for the price, we struggled to think of a similarly priced ink tank printer that offered so much ink and so many features. As you'd expect from an EcoTank, it delivered a strong performance across the board.

Read our full review

Pros

• Auto-duplex scan
• Low running cost
• 3 years' ink in the box
• User-friendly design

Cons

• No USB Host port or NFC
• No multi-purpose tray
• No Bluetooth
• Cannot scan heavy paper

Canon PIXMA G620

Why it's good for students. It might not be packed with features and it's certainly not the fastest, but for photo printing, this model from Canon excels thanks to six ink tanks offering bright, vibrant results.

Read our full review

Pros

• Six-ink color printing
• Cheap to run
• Lots of inbox ink
• Wide paper compatibility

Cons

• No auto duplex
• No main paper drawer
• Small 2-line display
• Low paper capacity

How we test printers for student life

All our printers are put through our unique standardized test, which lets us compare the speed, quality, and functionality against the others. This test covers every aspect of a student's printing needs.

To check performance, we use a uniform stack of test cards, text documents, and photos, and a range of paper sizes and types. If the manual says you can print on envelopes, labels, or t-shirts, we put that claim to the test, too. We're looking for crisp fonts and vibrant colors without smudging, smearing, or feathering.

We use a ten-page mixed text and color document to measure print speeds. We never take the manufacturer's word for this, and while they are usually accurate to be fair, we always time it ourselves. So, if you've got a deadline looming, you'll have a pretty good idea if your printer can get the print-outs in time.

Total cost and overall value are a core part of our review process. And this is specifically why we recommend ink tank printers for students. While they're a little more expensive than traditional, cartridge-based inkjets, they deliver better performance and they're cheaper to run for the duration of your course. Bottled ink is a lot more affordable than an inkjet cartridge, and with the amount you get in the box, it can last most of your time at college or university anyway.

Netflix has proved that it has a knack for producing solid original content, from Stranger Things and Squid Game to Bridgerton, but now the platform is again diversifying into new content areas — and its reputation as one of the best streaming services is starting to slip for me.

Starting on August 3, the platform will be adding video content from a number of popular online outlets including Buzzfeed, Conde Nast, and Variety, spanning topics such as lifestyle, food and drink, fashion, and entertainment. Basically, all the video series you can already find on YouTube will be coming to Netflix.

Netflix says subscribers will be able to stream “some of [their] favorite videos from around the Internet without having to leave Netflix,” as the service puts it — with videos ranging from short two-minute watches, to in-depth 20-minute content. The videos will be available to viewers in the US, Canada, the UK, Ireland, Australia, and New Zealand first.

When the new content lands on the platform, you’ll have another way to watch popular internet video series like Variety’s Lie Detector Test and Architectural Digest’s Walking Tour without having to leave the Netflix app.

The Netflix Originals graveyard is growing

Netflix axed its sci-fi series The Boroughs after just one season (Image credit: Netflix)

Netflix clearly wants to diversify beyond its usual film and TV show offerings. Recently, the service announced its Clips short-form video feed, which is clearly borrowed from TikTok and Instagram Reels. It’s also investing in video podcasts, looking to capture a slice of a market that’s already catered to by Spotify and other services.

I understand that viewing habits are shifting, but Netflix’s attempts at moving into new content feels like a Katy Perry album release, with the streaming giant trying to chase trends for the sake of keeping up appearances, when it should be focussing its time and resources on producing quality original content.

That brings me to the ‘two season problem’.

Netflix has an awful habit of pulling its original shows, even if subscribers love them, after just one or two seasons. The platform just canceled The Boroughs after one season despite it receiving rave reviews — and Stranger Things creators The Duffer Brothers were attached to the project, so a second season was widely expected.

According to the platform, this decision was taken due to production costs (sci-fi is expensive to produce), but somehow Netflix still manages to find enough money to pump into reality shows that receive nowhere near as much critical acclaim as its axed shows get, and which, I’d argue no one really wants.

Although spin-off show Squid Game: The Challenge climbed the Netflix charts, the roaring success of the original TV series helped it massively. But, as our streaming writer Jasmine Valentine says in her two-star review, the second season was “nowhere near as good as its first”. Between this and the pure cringe-fest that was Floor is Lava, you’d think Netflix would’ve learned its lesson — apparently not.

Compared to Netflix, Apple TV is one of the few streaming services that keeps the fire of its original shows burning (Image credit: Apple Tv Plus)

Instead, it’s continued to churn out one reality show after the next. I couldn’t make it past the first 20 minutes of Age of Attraction, and now my favorite childhood movie is about to have the magic sucked out of it thanks to a new Wonka-themed reality show.

I’m not the only one who thinks this, my colleague and streaming writer Lucy Buglass is on the same page, telling me “Netflix’s decision to host content from other platforms has been met with criticism, and there’s a good reason for that. Many beloved Netflix shows have been axed by the streaming service, and in 2024 Netflix canceled these 9 shows despite many of them performing well with both critics and audiences.

“When you compare Netflix to other streaming services, it’s shocking how quick they are to abandon their shows. Competitor Apple TV has a lot of faith in its original programming from sci-fi hit Severance, to horror comedy Widow’s Bay, and the moreish drama Margo’s Got Money Troubles. All of these shows have been renewed for new seasons in the future, which is welcome news for loyal fans.

“I’m concerned that Netflix keeps neglecting some great-quality shows in favor of hosting content we can already get elsewhere. Time and time again, TV fans are not getting a satisfying finale because storylines are cut off abruptly after being axed. This only discourages people from watching new shows if they’re going to be left on a permanent cliffhanger.”

Competing against YouTube is going to be quite a challenge for Netflix, and it makes me wonder if it'll be successful in luring more viewers in its direction. But for the time being, I wish it would just focus on quality of quantity.

It's nearly time for another episode of House of the Dragon season 3 to take flight. And, after last week's Rhaenyra-focused entry, you can expect to see more of the show's wider ensemble when its fourth chapter drops in a few days' time.

"But, when will that be?", I hear you ask. Fear not, dear reader, because I've sent a raven to HBO Towers to learn when the Game of Thrones prequel's next installment will air. Don't delay, then — find out below when it'll premiere where you live.

What time can I watch House of the Dragon season 3 episode 4?

House of the Dragon's next episode will debut at 6pm PT / 9pm ET on Sunday, July 12 in North and South America.

There's no need for viewers in other territories to throw a Rhaenyra-style tantrum over when they can see it, either, because it'll drop everywhere else on Monday, July 13. Read on to learn the exact time that it'll arrive in your region of the world:

• US — Sunday, July 12 at 6pm PT / 9pm ET
• Canada — Sunday, July 12 at 6pm PT / 9pm ET
• UK — Monday, July13 at 2am BST
• India — Monday, July 13 at 6:30am IST
• Singapore — Monday, July 13 at 9am SGT
• Australia — Monday, July 13 at 11am AEST
• New Zealand — Monday, July 13 at 1pm NZST

What channel or platform can I watch House of the Dragon season 3 on?

Did he think I would not discover it? pic.twitter.com/V6dDqp075cJuly 6, 2026

Like its predecessors, the high-fantasy series' next episode will come out on HBO Max, aka one of the world's best streaming services, where it's available.

Live in a country that the Warner-owned platform is yet to come to, or don't have an active HBO Max subscription? Don't worry, there are other cable networks, streamers, and TV channels you can watch House of the Dragon 3's fourth chapter on:

• US — HBO and HBO Max
• Canada — Crave
• UK — HBO Max, Sky Atlantic, and Now TV
• India — JioHotstar
• Singapore — HBO Max
• Australia — HBO Max
• New Zealand — HBO Max

What is the full release schedule for House of the Dragon season 3?

Alicent and Rhaenyra will continue to play their own mini Dance of the Dragons in this week's episode (Image credit: Ollie Upton/HBO)

After this week's entry, we'll be midway through this season. That means only four episodes remain before the HBO TV Original departs our screens ahead of its fourth and likely final season.

Unsurprisingly, this season's remaining episodes will air every Sunday in the Americas and every Monday everywhere else — you can read the list below to remind yourself of each one's release date:

• House of the Dragon season 3 episode 1 — out now
• House of the Dragon season 3 episode 2 — out now
• House of the Dragon season 3 episode 3 — out now
• House of the Dragon season 3 episode 4— July 12/13
• House of the Dragon season 3 episode 5 — July 19/20
• House of the Dragon season 3 episode 6 — July 26/27
• House of the Dragon season 3 episode 7 — August 2/3
• House of the Dragon season 3 episode 8 — August 9/10

• Ads for fake air conditioners are plaguing Facebook and YouTube
• These appliances promise high performance features and claim to be ground-breaking
• UK advertising regulator warns you should be sceptical and report them

The UK is having its share of sweltering heatwaves this summer and there’s never been a bigger demand for the best fans and air conditioners — but that's also come with a wave of fake air conditioning adverts.

Adverts for portable air conditioners allegedly ‘designed by former NASA engineers’ that can cool down a room ‘in less than 90 seconds’ are being pushed to consumers across the likes Facebook and YouTube. Portable air conditioners have been going out of stock pretty much everywhere — more recently Meaco’s Cirro lineup — so appliances from trusted brands are becoming a lot harder to come by as the UK is gripped by high temperatures

The advertised air conditioners claim to pack a punch all while having affordable prices, ranging between £70-£120 according to the BBC. Additionally, these product listings often feature fake customer reviews with overwhelmingly positive comments on performance features.

Civil engineer and content creator, Stuart Matthews, is just one online persona that’s raising awareness; “if it sounds too good to be true, it’s not ‘probably’ a scam these days, it definitely is a scam,” he shared in a YouTube video.

In one of his most recent unboxing videos, Matthews purchased one of the cheap air coolers, taking it apart bit by bit to give a closer look at the inner workings of these appliances — and they don’t work in the same way as proper air conditioners.

Here's how to spot a fake

The product he showcased was sold as a ‘mini portable air cooler’ with a small water tank that can ‘chill quite a sizable room by a number of degrees very quickly’. Once he took the machine apart, Matthews found what he described as ‘cardboard fins’ that essentially soak up water from the tank, which the fan blows air through at a very weak speed — all of which he forked out £70 for, when he thinks it’s worth no more than £5.

With high demand, users in need will often take the first appliance that’s put in front of them, giving companies more room to scam, and now the Advertising Standards Authority (ASA) is officially warning you. But if you’re finding it difficult to tell the difference between legitimate and misleading adverts, the regulator has issued a few tips.

As mentioned, one of the biggest things to note is the overuse of positive reviews and comments that report life-changing results, so if an advert claims a small fan can cool a room in a very short space of time, be sceptical.

Just with the advert shown in Matthews’ video, you should also be wary of lengthy backstories and bold claims, i.e. “an ingenious invention that’s disrupting the £5 billion air conditioning industry” — a bold claim for a product that no one has heard of.

Additionally, a majority of the adverts seem to be AI-generated, with inconsistencies such as spelling and grammar errors, which you should also keep an eye out for. If you think you’ve run into a fake air conditioner advert, you can file a report on the ASA website.

• McAfee flags “Silent Swap,” a malicious Chromium extension disguised as Google Notes that secretly hijacks crypto transactions
• It works as a clipboard jacker, swapping copied wallet addresses with attacker‑controlled ones so victims unknowingly send funds to criminals
• Researchers advise always cross‑checking full wallet strings before sending, as attackers can craft lookalike addresses differing only in a few characters

Researchers have found yet another extension for Chromium-based browsers that is designed solely to steal people’s hard-earned cryptocurrency.

A report from McAfee has sounded the alarm on Silent Swap, a piece of malware hiding inside a benign-looking Google Notes extension.

Victims who stumble upon and download it (most likely through phishing, social engineering, or shady forums and websites), will get an extension that, on the surface, works as intended. It shows a small window where the victim can type a note and save it. They can color-code the notes and search through saved ones. However, this was only made to hide the program’s true intentions, which are to steal cryptocurrency.

Hijacking the clipboard

Silent Swap works like a typical clipboard jacker. It monitors the clipboard for strings that look like a crypto wallet - seemingly random strings of 26 to 42 alphanumeric characters.

When it spots one, it replaces it with a different one belonging to the attacker, so when the victim pastes the address into the wallet to send the funds, they are actually sending them to the address belonging to the attackers.

This works because crypto wallets are almost impossible to memorize, and too risky to type in from a piece of paper or a different document, forcing users to rely on copying and pasting.

Once the victim sends the funds, they are almost certainly irretrievably gone. Only if the funds are being sent from a centralized exchange (like Coinbase, for example), and if the victim spots the attack fast enough, can they ask the exchange’s support to freeze the transaction. In all other cases, once the money is sent, it’s gone.

The best way to defend against these attacks is to cross-reference the strings before hitting send. Some people would only check the first and last few characters, but security researchers don’t recommend it, because some clipboard jackers can generate addresses that only differ in a few characters.

Garmin Forerunner 170: One minute review

The Garmin Forerunner 170 and 170 Music sit nicely between the cheaper Garmin Forerunner 70 and more expensive 570 and 970 duo, the latter of which features on our best Garmin watches guide. As such, both Music and non-Music versions are a bit of a halfway house; not quite cheap enough to be picked up on a whim by budget-conscious consumers, nor expensive enough to be stuffed with top-quality premium features.

However, it is stuffed with plenty of robust fitness features that will suit any active exerciser, especially runners. Sebastian Sawe, who who broke the world record by running a marathon under two hours in London, was toting a Garmin Forerunner 55 — Garmin’s cheapest, most stripped-back running watch.

What you’re paying for here is the Garmin Forerunner 70 — an excellent smartwatch on the cheaper end, and the successor to the popular Garmin Forerunner 55 — with additional smartwatch features attached. These include Garmin Pay, a virtual wallet which lets you pay with cards held on-watch, and the Smart Notifications feature, which allows you to view and manage alerts from a paired smartphone. The Forerunner 170 Music adds an extra 4GB of music storage.

If you’re largely uninterested in these features and you just want an excellent training tool, I’d get the Garmin Forerunner 70 instead, as it’s the best value of the three newcomers overall. But the Garmin Forerunner 170 Music does allow you to hit that Saturday morning parkrun, pay for your coffee, and jog home with headphones in — all without using your phone at all. It’s incredibly convenient, but not a package everyone will need or want.

Still, during my testing I found the watch good to use, comfortable to sleep in, and accurate against testing units like my Polar H10 heart rate monitor. Our writer Michael Sawh found the same with the Garmin Forerunner 70. You can read my full thoughts on the 170 Music below, but whichever watch you choose, you’ll be in good hands.

Garmin Forerunner 170 review: Specifications

Garmin Forerunner 70

Garmin Forerunner 170

Garmin Forerunner 170 Music

Price

$249.99 / £219.99 / AU$399

$299 / £259.99 / AU$479

$349.99 / £299.99 / AU$549

Dimensions

42.6 x 42.6 x 11.9mm

42.6 x 42.6 x 11.9mm

42.6 x 42.6 x 11.9mm

Weight

40g

41g

41g

Case/bezel

Fiber-reinforced polymer

Fiber-reinforced polymer

Fiber-reinforced polymer

Display

AMOLED 390 x 390px

AMOLED 390 x 390px

AMOLED 390 x 390px

GPS

GPS, Galileo, GLONASS, Beidou, QZSS, SatIQ

L1 GPS, GNSS, Galileo, and BeiDou

GPS, Glonass, Beidou, Galileo

Battery life

Up to 13 days, all-systems GNSS mode: Up to 16 hours

Up to 10 days, all-systems GNSS mode: Up to 14 hours

Up to 10 days, all-systems GNSS mode: Up to 14 hours (6.5 with music)

Connection

Bluetooth, ANT+

Bluetooth, ANT+

Bluetooth, ANT+

Garmin Forerunner 170 review: Price and availability

• Garmin Forerunner 170: $299 / £259.99 / AU$479
• Garmin Forerunner 170 Music: $349.99 / £299.99 / AU$549
• Garmin Forerunner 70: $249.99 / £219.99 / AU$399

The Garmin Forerunner 170 without music storage costs $299 / £259.99 / AU$479.

The Garmin Forerunner 170 Music, the upgrade with 4GB internal memory for music storage, costs $349.99 / £299.99 / AU$549. The Forerunner 70, which doesn’t have the 170’s smartwatch features such as Garmin Pay and Smart Notifications, is cheaper at $249.99 / £219.99 / AU$399.

We’re zeroing in on the Garmin Forerunner 170 today, and I think the watch is generally good value for money compared to some of the seriously expensive premium Garmins in the lineup, but perhaps not compared to the 70, which is $100 / £80 / AU$150 cheaper for a very similar watch. If you don’t want Garmin Pay or notifications, you’re better off saving your cash and getting the 70.

None of the Garmins have a particularly wide feature set compared to watches from Apple and Samsung at a similar price point, but their batteries last far longer — up to 10 days for the 170 — and their workout credentials are fantastic. This ensures you can get multiple battery-sucking GPS workouts in each week while still retaining enough smartwatch functionality to matter, all without needing a charge for ages. Each Garmin watch is durable too.

I’d say it’s generally a good value prospect, even if it does edge into the expensive end with the 170 Music.

• Score: 4/5

Garmin Forerunner 170 review: Design

(Image credit: Future)

• Iterates on existing Forerunner design
• Surprisingly dull AMOLED screen
• Elevate V4 heart rate sensor

The Garmin Forerunner 170 looks very much like every other Forerunner, but if this is your first Garmin that won’t mean much. It’s got a five-button configuration — up, down, light, start, stop or select, and back (or lap). You can use these, a touchscreen, or a combination of the two to navigate the watch, which is ideal if you’re wearing gloves.

It comes in a single size, with a 42.6mm screen, and its packing an AMOLED display rather than the duller digital-watch-style memory-in-pixel screen of older watches, but it’s not particularly bright even at full power. It comes with a silicon two-tone strap, and on the back it has one of Garmin’s older heart rate sensors, the Elevate V4. More expensive watches get the more accurate V5, but the V4 has been included here presumably to keep the cost down.

It’s very light, with a listed weight of 41g, and feels like less than that in the hand. A light watch is great for running and collecting wellness info as it’s easy to wear, and this checks the boxes.

Those familiar with Garmin products will be happy to know no liberties have been taken with the design of Garmin’s established software, either on-watch or in the Garmin Connect app. I think it’s the perfect mix of stripped-down and information-heavy, although there are a lot of menus to lose yourself in. The buttons make it fairly intuitive to navigate around for old hands. It’s a tried and tested design, that doesn’t break the mold in any significant way.

• Design score: 4/5

Garmin Forerunner 170 review: Features

(Image credit: Future)

• Advanced running dynamics
• Limited smart notifications functionality
• 170 Music offers mp3 and streaming downloads

Plenty of running features abound here. As the name suggests, Garmin’s included its advanced running dynamics tools such as running power (a measure of your total running effort using motion data as well as heart rate), along with advanced statistics such as stride and cadence data after your run. During workouts, you can set up routes in Garmin Connect with virtual pacers to keep you on time.

You also get the usual health stuff, such as heart rate and sleep score, 80 workout modes (although not all have dedicated metrics or GPS enabled) and reports in the morning and evening that provide information about your training along with the weather and a motivational quote. The Garmin Forerunner 170 gets Smart Notifications, which allow you to answer some tests with simple replies and the Garmin Pay functionality which acts as a virtual wallet like Apple Pay.

The 170 Music’s 4GB of storage allows you to upload tunes directly onto the watch, including by saving playlists from the likes of Spotify. Even without the dedicated Music model, you can listen on apps like Spotify, Deezer, YouTube Music and so on through your phone, and control music on the watch there. The Garmin Connect IQ store has dedicated widgets for these services, along with thousands of other apps from a mixture of big-name brands and enthusiastic amateurs.

Otherwise, what’s missing? I wasn’t expecting full-color maps at this price, just the breadcrumb navigation and route direction common on most Garmin watches without maps, so I don’t feel like the feature is missing, as such.

However, to justify the price increase from the 70 to the 170 Music, I think it needs more hardware features. A microphone like the Garmin Forerunner 570, and the ability to take calls on watch and use Garmin’s simple voice assistant, would better separate it. As is, most people who want dedicated smartwatch features will just get one of the best Apple Watches or best Samsung watches instead.

• Features score: 4/5

Garmin Forerunner 170 review: Performance

(Image credit: Future)

• Accurate against a heart rate monitor
• GPS works well against an Apple Watch Ultra 3
• Comfortable and easy to wear day-to-day

I checked the Garmin’s heart rate accuracy against an electrical chest-mounted Polar H10 heart rate monitor — the gold standard of heart rate accuracy — during a 25-minute treadmill test, and was very pleased to report that despite the older sensor, both average and maximum heart rate were within 1-4bpm of the heart rate monitor; a very acceptable margin for error and not a statistically significant one.

GPS was accurate compared to my Apple Watch Ultra 3, and battery life was representative of its claims, with total drain taking just over a week with multiple GPS workouts completed. I feel as though the ‘up to 10 days’ listed battery life is reflective of reality.

Being lighter and smaller than many Garmins I’ve tested, it’s comfortable to wear every day and fine to sleep in.

• Performance score: 4.5 / 5

Garmin Forerunner 170 review: Scorecard

(Image credit: Future)

Category

Comment

Score

Value

It’s not barnstorming value compared to the 70, but unlikely to disappoint.

4/5

Design

Builds on the solid existing Forerunner design with little iteration.

4/5

Features

Rich training insights and smartwatch features.

4/5

Performance

Solid performance against industry standards and contemporaries.

4.5/5

Garmin Forerunner 170 review: Should I buy?Buy it if...

You’re a runner

The Garmin Forerunner 170 series shines when your favorite pastime is running in any form.

You want smartwatch features

Garmin Pay and Notifications make it a useful tool outside of workouts.

Don't buy it if...

You’re on a budget

The Garmin Forerunner 70 does almost everything you need, for less.

You’re looking for premium performance

Rugged metal bezels, the Elevate V5 heart rate sensor, and full-color maps are the province of pricier Garmins.

Also consider

Coros Pace 4

A worthy alternative training tool, the Coros Pace 4 is a fantastic watch.

Read our full review

Garmin Forerunner 70

A better value option if you don't want the 170/Music's smart features.

Read our full review

How I tested

I wore the Garmin Forerunner 170 Music for over a week, draining the battery down and using as many of its features as possible. I ran and used it for strength and yoga sessions, tested its smart features, and pitted it against multiple competitor devices, including a chest strap heart rate monitor.

Philips Hue bulbs are a hugely popular smart lighting solution, and with good reason. But if your setup consists only of Hue bulbs (and a hub), you're missing a trick. The brand makes a range of accessories that can make a major difference to how you use your smart lights, and most are very affordable too. I asked the TechRadar team for some of their favorite cheap smart home upgrades, and almost all the answers I got back were Philips Hue accessories, so I decided it was worthy of its own article.

Entertainment Editor Matt Bolton is a big fan of his Philips Hue Smart Button, a compact, simple, wireless switch. "I stuck the Smart Button on my wall next to my regular light switch, giving me a way to control just the lamps in my living room separate to the other lights," he says. "It's so nice and easy, and no rewiring needed."

Matt also makes use of the Philips Hue Smart Plugs, which can be used to integrate non-smart lights into your Hue ecosystem. "I use the Hue Plugs to add little lamps that are too small for Hue bulbs into my lighting setups," he says. "I also use it for my Christmas tree lights every year, so I can plug them in somewhere awkward, but I can still turn them on and off at will."

Senior News Editor Mark Wilson is a big fan of his Philips Hue Tap Dial Switch. This physical switch has four buttons and a dial, and can control nine different actions; it's a more complex alternative to the Smart Button. "I hate using my phone or voice controls for smart lights. My favorite feature is turning the dial to dim my Hue lights — it's so much better than tapping the buttons on other switches," says Mark. "It’s simple to use, while also being really versatile thanks to those four buttons, which can set scenes in different rooms."

Homes Editor Cat Ellis has a slightly different suggestion: if you're finding regular Hue bulbs too expensive, she recommends checking out the much cheaper Essential range. "I put a regular Philips Hue bulb and a Hue Essential bulb side-by-side in identical lamps, and it was almost impossible to tell the difference when shifting colors — I could only really notice a distinction when dialing down the brightness."

A smarter setup Philips Hue Tap Dial Switch

Read our full review

Pros

• Highly configurable
• Easy to set up
• Wireless with magnetic mount

Cons

• Only two color options
• Can be overkill for simpler Hue systems

Philips Hue Essential Smart Bulb

Read our full review

Philips Hue Smart Plug

Read our full review

Pros

• Compact, unassuming design
• Simple to use
• Works with Alexa, Google Assistant and HomeKit

Cons

• Requires Hue Bridge for control when you're not close by
• No energy monitoring functions

Philips Hue Dimmer Switch

Read our full review

Pros

• Simple setup
• Can be mounted on a wall or used as a portable remote
• Customizable buttons
• Time-based control options

Cons

• Not as flexible as the Philips Hue Tap Dial Switch
• Only available in white

Philips Hue Smart Button

Read our full review

Pros

• Compact design
• Easy to set up and use
• Two wall-mounting options

Cons

• Limited functionality
• More expensive than the Hue Smart Wireless Dimmer

Philips Hue Smart Motion Sensor

Read our full review

While there are a few other brands, the hard drive market is essentially a three-horse race between WD, Seagate and Toshiba.

Having looked at WD and Seagate NAS HDDs recently, it seemed appropriate to look at what Toshiba offers that’s different to the other two.

Toshiba Electronics Europe launched the N300 NAS drive series in January 2017. By that point, Western Digital and Seagate had been in the dedicated NAS drive market for years. WD Red has been on sale since 2012, and Seagate IronWolf launched in 2016. Toshiba was late to this party, and that certainly coloured its product range from the outset.

The N300 launched at 4TB, 6TB, and 8TB, all carrying a 128MB data buffer and a 7200 RPM spindle. That last detail is the key one. Toshiba did not try to match WD and Seagate on their terms; instead, it went faster.

The N300 range runs at 7200 RPM on every capacity variant, from the smallest to the largest. That decision produces a drive with meaningfully higher sequential throughput. The N300 achieves up to 298 MB/s sustained transfer speed. The WD Red Plus manages around 180-190 MB/s. The IronWolf reaches 202 MB/s. The N300 leaves both behind in raw sequential performance.

And, this newer HDWG740EZSTC model covered here offers 512MB of cache, where older revisions had 128MB or 256MB.

However, there are tradeoffs here. On the hardware side, the additional rotational speed makes the N300 noisier, it generates more heat, and uses more power. That makes it less suitable for a NAS that’s sitting on the desktop, and more acceptable if you have a server room. And, the other awkward aspect of the N300 is that Toshiba has jacked the price up of this drive to around 50% more than what WD and Seagate are asking for the same capacity from some sources.

There are a few deals to be had on the N300, but it does make you wonder whether it's competing with the WD Red Plus and Seagate IronWolf, or the Red Pro and IronWolf Pro?

If only Toshiba would price the N300 more appropriately, it might become one of the best NAS drive options.

Toshiba N300 4TB: Price

Without doubt, the worst possible place to buy the N300 4TB drive is from Amazon.com and the Toshiba Store on that retailer.

The current asking price there is around $330, which is utterly outrageous. To put that into perspective, in January 2026, the price was $215.62, and in August 2025, it was $154.99. Therefore, it has seen a 212% price increase in just nine months. Given that I wouldn’t believe there is much interest in 4TB drives for Datacentres, this is purely corporate greed in action.

But what’s even more curious is that even in the US, you can get this drive for cheaper, since B&H Photo sells it for $244.99, and Newegg wants $299.

Outside of the US borders, the prices are still elevated but not as excessively. From Amazon.co.uk, the 4TB capacity is priced around the £200 mark, and across Europe on Amazon, it's €237.86, if they have stock.

For comparison, American customers on Amazon.com can pay $194.99 for the 4TB WD Plus drive, and the 4TB Seagate IronWolf is only $189.

In short, wherever you buy the N300, it's seen a much larger price increase than its competitors, and this is true across all regions.

One important difference to note is that the N300 is available in a much larger range of sizes than Red Plus and IronWolf. The smallest N300 is 4TB, and it is available in 6TB, 8TB, 10TB, 12TB, 14TB, 16TB, 17TB, 20TB and 22TB.

The Red Plus only goes from 1TB up to 12TB, and the IronWolf goes from 1TB to 16TB, with some truly odd sizes such as 7TB in between the usual capacity increases.

However, you look at the N300 pricing, this is an expensive drive that tries to go between the Red Plus/IronWolf and the Red Pro/IronWolf Pro product ranges.

What makes this more complicated is that while officially IronWolf Pro drives are made in 4TB capacities, I could only find 12TB and larger. But the 4TB WD Red Pro can be found for $249.99 on Amazon, which is cheaper than the N300 for the same capacity.  

What’s genuinely confusing about the N300 range is that if you go looking for drives of a particular capacity, you might find that drive with three different part numbers, one being the retail number, others being OEM, and I managed with some sizes to find ones with 128MB, 512MB and 1024MB caches. Obviously, the larger caches are better, especially on bigger capacity drives.

As an example of how messed up Toshiba is on Amazon.com, clicking “Visit the Toshiba Store” sometimes takes you to Toshiba kitchen products.

These prices need to be more consistent and gouge less.

(Image credit: Toshiba)Toshiba N300 4TB: Design

Since its launch, Toshiba has developed several proprietary technologies for the N300 and has kept them consistent across the product line.

These include Stable Platter Technology, which uses a tied spindle motor to secure the drive shaft at both ends. This reduces system-induced vibration and is directly comparable with WD's 3D Active Balance Plus approach. Both address the same problem, where in a multi-drive enclosure, vibration from one drive affects the others.

Also special to the N300 is Dynamic Cache Technology, a self-contained algorithm with on-board buffer management that optimises cache allocation between read and write operations in real time. From the outset, the N300 has typically had more cache than its competition, so managing the use of that is important for performance.

One of the hidden issues with faster-rotating drives is wear, and on the N300, this is addressed in a few interesting ways, one being Ramp Load Technology. This parks the read and write heads on a ramp outside the platter surface when the drive is idle. It reduces head wear during power cycles and protects the media surface.

Error recovery control has also been present since the original launch, limiting recovery time to avoid RAID array ejections in the same way that WD's TLER does.

(Image credit: Mark Pickavance)

All these features I’ve mentioned arrived with the first N300 drives, but since then, the N300 has undergone some subtle changes, one of which is the introduction of NASLink Technology.

This fine-tunes drive behaviour for rapid data access and includes firmware-level optimisation for RAID performance through improved disk coordination. The more drives you have in an array, the more important it is that they’re all moving to a common beat, and Toshiba has baked that into the N300 via firmware updates.

Having larger arrays improves performance, but it introduces vibrations that can migrate from one drive to those either side of it. To combat this, the N300 also carries three built-in rotational vibration sensors. These detect and compensate for the knock-on vibration effects that become a serious problem once a NAS enclosure has more than four drives installed.

Overall, while Toshiba hasn’t come up with anything like Seagate IronWolf Health Management. In other respects, this is probably the most sophisticated drive serving the home and small-business NAS market.

However, when Toshiba only offers a three-year warranty and 180TB/year workload, it doesn't seem much like it's that special.

(Image credit: Mark Pickavance)Toshiba N300 4TB: Performance

(Image credit: Mark Pickavance)

Since Toshiba only provided two of these drives, there seemed little point in trying to work out what array advantages running the N300 offered. Therefore, I went with the same PC analysis that I used on the WD Red Plus and IronWolf drives

Here are my results:

Drives

 

Toshiba N300

WD Red Plus

IronWolf

Part No.

 

HDWG740

WD40EFPX

ST4000VN006

Capacity

 

4TB

4TB

4TB

Cache

 

512MB

256MB

256MB

Rotational Speed

RPM

7200

5400

5400

AJA

 

 

 

 

Read

MB/s

282

187

190

Write

MB/s

283

179

185

ATTO

 

 

 

 

Read

MB/s

291.57

206.24

192.35

Write

MB/s

294.25

197.35

191.76

CrystalDiskMark Default

 

 

 

 

Read

MB/s

299.18

201.23

200.77

Write

MB/s

300.50

208.26

199.33

CrystalDiskMark RealWorld

 

 

 

Read

MB/s

286.95

212.46

200.22

Write

MB/s

290.01

204.42

199.11

PCMark

 

 

 

 

Score

 

651

801

677

Bandwidth

MB/s

99.87

124.49

103.69

MS Winsat

 

 

 

 

Random 16 Read

MB/s

2.37

1.71

1.6

Sequential 64.0 Read

MB/s

218.38

168.53

158.16

Sequential 64.0 Write

MB/s

289.31

204.65

190.5

Read Time with Sequential Writes

ms

4.810

1.385

1.946

Latency:  95th Percentile

ms

31.620

12.685

34.685

Latency: Maximum

ms

75.357

64.723

62.341

Average Read Time with Random Writes

ms

12.021

5.267

9.898

Aside from PCMark10, all other tests show that the N300 is a country mile faster than either of the alternative NAS drives with the same capacity. I can put those results down to the increased rotational speed and also the 512MB cache on the N300.

One extra test I did perform on a NAS was to take a single drive on a Ugreen NASync DXP4800 Plus NAS, connect to it over a 2.5GbE LAN link, and bench test it from my PC.

I achieved read and write speeds over 285MB/s, which is the practical limit of 2.5GbE LAN ports. That with a single N300 drive, you can saturate a 2.5GbE Link is impressive, and it implies that with four drives in a RAID 5 configuration, you should be able to saturate a 10GbE LAN port. To do that on both WD and Seagate would involve moving up to their Red Pro or IronWolf Pro range.

Based on these numbers alone, the N300 might be worth what Toshiba is asking for it, depending on how your NAS is configured and if raw speed is important to that system.

However, I should also point out that the power consumption on the N300 is dramatically more than on the Seagate and WD drives. The current 4TB N300 draws 7.43W typical under active operating load, where the Red Plus only consumes 4.7W and the IronWolf 4.8W.

And, the N300 will be converting most of that power into heat, regrettably. If you already have a machine room where the cooling isn't coping, then maybe using these drives might not be the best plan. 

Toshiba N300 4TB: Final verdict

(Image credit: Mark Pickavance)

If this drive were cheaper and Toshiba had technology like the IronWolf Health Management scheme, there would be little debate about this being one of the best options.

However, there are a few things about NAS and RAID arrays that make this choice slightly more complicated.

For starters, the majority of NAS are bottlenecked by their LAN connections, so if you only have a NAS with a 1GbE or 2.5GbE LAN port, then you won’t see the improved performance of the N300 over the WD Red Plus or IronWolf. If you do have a 10GbE LAN port, it will be saturated with four drives; extra drives won’t make any difference unless you have multiple LAN ports and bandwidth aggregation.

What you do get with the N300 is internal NAS performance, which, if you are running AI on your NAS, might be a factor. However, most people using their NAS that way use NVMe drives for caching, allowing them to get higher performance from 5400RPM drives.  Rebuilds will be quicker, but the value of that comes down to whether the NAS is a point-of-service or other mission-critical function, and it assumes that a drive (or drives) dies in the first place to trigger the rebuild.

The fly in this ointment is the price, because for a four bay NAS, that’s a jump from roughly $800 in storage to $1200, and for that increase, you might consider Pro-level media.

Interestingly, currently the WD Red Pro 4TB is $250, offers 7200RPM spindle speeds, for less than the 4TB N300 on Amazon.com. And deals on IronWolf Pro models undercut Toshiba's pricing at that retailer.

In the UK, the IronWolf Pro 4TB is only £169.99, the WD Red Pro is £234.75, making the £195.15 N300 4TB a better deal than the WD, but much worse than the Seagate drive.

That’s the biggest issue here, because Toshiba aimed this product to hit the open ground between the entry-level NAS drives and the Pro series mechanisms, and now adjusted the price to compete with the premium layer. These Pro drives have 300TB/yr workload ratings and a 5-year warranty, whereas the N300 only has 180TB/yr and a 3-year warranty.

Based on these Toshiba defined ratings, it can't compete on reliability.

While I expect that if I tested the N300 against the Pro hardware, it would do well, since both of the competing brands typically only include 256MB of cache, not 512MB. But those who buy those mechanisms are looking for longevity above all else.

Overall, I liked the N300, as it takes less time to get operational on a NAS and in small arrays, the performance is excellent. But I can’t get on board with Toshiba’s pricing, which seems excessively high in some regions and lacks any consistency.

For more storage solutions, we've reviewed the best NAS devices.

The IoT and AI are a likely partnership: IoT generates and captures data, often in large volume, AI is ideally placed to analyze it.

Combined, AIoT presents new opportunities, so much so that Transforma Insights forecasts no fewer than 9.1 billion AIoT connections at the end of 2033, a more than six-fold increase in 10 years.

The potential for AI in the IoT is far-reaching, and one standout application is enhanced security.

The security risk to the IoT

All connected devices are under growing levels of threat, but the IoT is particularly targeted. According to Beaming’s cyberthreat report into UK businesses, IoT devices were most frequently attacked in 2024. They are attractive targets for the data they exchange and their potential to be compromised.

The devices are often unmanned and generally sit outside corporate security perimeters. They may be in remote spots, where they could be subject to unauthorized physical access attempts, and often remain in place for long periods of time. Many, such as the IoT devices used in energy, transport, utilities and retail, transfer sensitive data of high value.

Businesses need confidence that data collected through the IoT—both real-time and historical—comes from secure and trusted sources, not least when it comes to developing and training AI models. In this, the IoT works with digital twins, which are digital representations of physical objects or systems.

The IoT enables the seamless flow of real-world data between the physical and the digital, while the digital twin’s attributes provide the features for AI modelling. Historical data collected through IoT is then used to train and refine the AI model.

How AI is helping secure the IoT

AI applies its automation and analytical capabilities to many tasks and priorities. It is making inroads into cybersecurity, something that has not gone unnoticed. Last year, the IEEE revealed almost half of the global technology leaders it surveyed (47%) expect vulnerability identification and attack prevention to be a top use of AI in 2026.

That may be some comfort to enterprises and connectivity and solutions providers grappling with the problem of protecting IoT devices and applications. This challenge is compounded by the fact that attackers are increasingly using AI themselves to automate phishing, accelerate reconnaissance and develop adaptive malware that evades traditional detection. However, it is more comforting still, that AI is already making a difference in the IoT, redefining how organizations protect their devices.

AI-powered anomaly and threat detection (ATD) is helping security teams identify threats like suspicious network traffic and botnet activity faster and improving resilience across large-scale IoT environments, something enterprises must strive for.

In the recent past, the focus on the IoT was arguably getting devices online. That is no longer the challenge; the test now is keeping them operational: compliance readiness and the flexibility to adapt to ever-evolving commercial and technological changes. It also means maintaining resilience.

IoT security must follow a clear defend against, detect and react approach to swiftly counter attacks. No one or two of these three measures are enough without the others.

How AI improves IoT visibility and incident response

AI-powered ATD detects anomalous behavior, such as remote code execution, abnormal port connection or a suspicious IP. These could indicate the beginnings of a cyberattack on an IoT device. It analyses the anomaly and can identify the attack type, be it distributed denial of service (DDoS), man-in-the-middle (MiTM) or an attempted device takeover.

ATD can then trigger direct action, if business rules dictate an automated response. This could take the form of threat isolation or referring the incident for full review.

Anomaly and threat detection protects over one million devices

ATD runs entirely in the mobile core network infrastructure, rather than through software agents on a device, so it can be retrofitted to existing systems.

Enterprises that have identified IP backdoors and Mirai botnet infections within hours.

With IP backdoors, ATD detects unusual outbound connections, or traffic, to suspicious IPs. Such backdoors may allow remote control or data exfiltration, both of which leave identifiable behavioral traces.

In the case of Mirai, anomalous behavior typically exhibits as spikes in outbound traffic, uncommon ports use, or repetitive scanning of external IPs. ATD can flag these irregularities in real time and trigger corrective actions, such as blocking or quarantining the device, blocking or throttling traffic or patching firmware.

Automation and analytics can shape the next phase of IoT security

There is a clear shift in IoT implementation and management. It is insufficient to plan for device deployment, sit back and gather the data. Without a strategy that accounts for the stresses, threats and changes that beset IoT estates, enterprises risk costly surprises like unplanned site visits and service disruptions.

AI, through automation and analytics, can shape the next phase of IoT security. Enterprises that detect, analyze and even automatically address, anomalous activity reduce the risk of cyberattack-related outages and inconvenient site visits to access devices.

Sending field technicians to maintain or repair devices can add significantly to total cost of ownership. Each truck roll, which incurs expenses for labor, fuel, vehicle wear and often missed productivity opportunities, can add up to over $1000 per site visit.

IoT downtime, meanwhile disrupts operations and can have a catastrophic reputational, as well as financial, cost.

How to balance innovation, data privacy and operational control

Enterprises are, for the most part, keen to innovate through AI but have understandable questions about data privacy and operational control.

It is important to know what AI does, in all process integrations, to understand why it does it and to have control that prevents AI deviating from its purpose.

On data privacy, ATD isn’t installed on IoT devices. Only packet headers from device cloud communications are mirrored from the mobile core to the ATD engine, with threat levels and AI-driven insights relayed through a customer portal.

Operational control is maintained through the business rules that dictate how the ATD engine reacts. The option to refer an anomaly for review, for example, gives enterprises the flexibility to incorporate human oversight, under predetermined circumstances.

This is especially useful when you consider there can be genuine reasons why a SIM may increase or cease communication, that an incident reviewer will understand.

AI-powered IoT security

AI is making a difference to the speed, efficiency and depth of response to cyberthreats. Automation and advanced analytics within IoT solutions’ security measures also help enterprises manage costs, by minimizing labor-intensive manual tasks and site visits, and reducing the risk of expensive cyberattack reparations.

For CISOs, CIOs, product and operations managers seeking to maximize IoT value and protect their enterprise IT domains from external threats, AI-powered ATD offers visibility and actionable insights to take IoT security to the next level.

We've reviewed and ranked the best antivirus software.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit