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A document circulated to members of Congress misinterprets studies and cites debunked research, scientists say. It could influence congressional perceptions of vaccine safety.

(Image credit: Kevin Dietsch)

It plays a big role in deciding which vaccines kids and adults get routinely, what's covered by insurance and which shots are made available free to low-income kids.

(Image credit: Joe Raedle)

The Israeli strikes killed top Iranian military leaders and nuclear scientists ahead of planned weekend negotiations aimed at addressing international concerns over Iran's uranium enrichment program.

(Image credit: Vahid Salemi)

• Half of developers thought about quitting due to poor tech stacks this year
• A tech stack is more than productivity – it defines many developers
• Storyblok CTO calls for full modernization roadmap

The majority (58%) of developers are considering quitting due to poor and legacy tech stacks that reduce their efficiency and productivity, new research has claimed.

86% of the 200 developers surveyed by CMS firm Storyblok say they're embarrassed by their current tech stack, with nearly half (47.5%) considering quitting in the past year as a result of their tech stack, and nearly one in three (31%) considering doing so in the past month alone.

Developers' biggest frustration is having to maintain legacy systems and fix bugs on them (27.5%), while many are also fed up of having to deal with non-technical stakeholders (21.5%). In third place, 14% raised a lack of clear requirements and shifting priorities distracting them from a clear end goal.

Developers aren't happy with in-house tech

Besides the tech dissatisfaction, the developers highlighted how the tech stack they're working with affects their personal image.

Three-quarters (74%) of the survey's respondents claimed that their tech stack significantly influences their professional identity, with one in five (19.5%) going as far as saying it defines them. On the flip side, only 2.5% say it doesn't matter, highlighting the importance of adequate tools and solutions.

In terms of their current tech stacks, half (51%) of developers are frustrated with a lack of key functionality and maintenance difficulty (47%), while many noted an incompatibility with newer technologies and innovations like AI (31%).

"The message to businesses is clear - outdated tech stacks are making your developers unhappy to the point of quitting," noted Storyblok CTO Alexander Feiglstorfer.

With only 4% of respondents believing their current CMS fits their needs, and two in three (67.5%) stating that it holds them back, a better developer experience (29.5%), modern tech stack integration (23.5%), performance and scalability (17.5%) and AI integration (12.5%) are among the most desired improvements.

Feiglstorfer added that pay rises are just a temporary fix to pacify developers, and that companies should commit to a "modernization roadmap" to improve developer satisfaction and retention.

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The IT infrastructure that underpins today’s businesses is unrecognizable from even a few months ago. Every organization, planned or unplanned, has migrated to the cloud with AI intertwined given each enhances the other's capabilities.

Cloud and AI are undeniable game changers for businesses; however both introduce complex cyber risks when combined. Cloud security measures must evolve to meet the new challenges of AI and find the delicate balance between protecting against complex attacks on AI data and enabling organizations to achieve responsible AI innovation.

The marriage of Cloud and AI

Cloud computing provides the infrastructure and resources needed to power AI algorithms, while AI makes cloud services more intelligent, efficient, and user centric. Underpinning this is the development team, running at full speed, creating and deploying new applications that reshape operations, enhance scalability, flexibility, and scrape cost savings where it can. But for those working to secure these shifting environments, it’s like trying to catch smoke. What is secure today may move, morph or even disappear entirely.

According to the Cloud AI Risk Report, cloud-based AI is prone to avoidable toxic combinations that leave sensitive AI data and models vulnerable to manipulation, data tampering and data leakage. As an illustration, this could leave AI training data susceptible to data poisoning, threatening to skew model results. Researchers calculated that almost 70% of cloud AI workloads contain at least one unpremeditated vulnerability.

Rather concerning was the discovery that three out of four organizations using one specific cloud provider for AI services were found to have overprivileged default configurations. Dubbed ‘The Jenga-style’ concept, the research found a tendency for cloud providers to build one service on top of the other, with “behind the scenes” building blocks inheriting risky defaults from one layer to the next, with any single misconfigured service putting all the services built on top of it at risk. The result is users left largely unaware of the existence of these behind-the-scenes building blocks as well as any propagated risk.

Threat Actors are circling

When we talk about AI usage in the cloud, more than sensitive data is on the line. If a threat actor manipulates the data or AI model, there can be catastrophic long-term consequences, such as compromised data integrity, compromised security of critical systems and degradation of customer trust. In addition, training and testing data is an attractive target for misuse and exploitation, as they may contain real information such as intellectual property, personal information (PI), personally identifiable information (PII) or customer data related to the nature of the AI project.

Threat actors are not just targeting AI but also harnessing it. Reports confirm that they have a number of powerful AI tools at their disposal, including AI-driven virtual assistants that can streamline and amplify their attacks. So far this year, there have been reports of threat actors harnessing AI to write malware for ransomware attacks. In fact, FunkSec, according to CheckPoint, is one such group that is believed to use AI-assisted malware development. The danger is that this could see inexperienced actors able to spin up and refine tools quickly to launch their own criminal escapades.

AI powered defenses

AI can be used to search for patterns, for the team to inspect what is happening within the organization's infrastructure and explain results in the simplest language possible. This can help the security team know what is important, the attack paths that could be travelled should a threat actor gain access, and where to best prioritize efforts to shut off these paths to reduce cyber risk. Solutions such as data security posture management (DSPM) and AI security posture management (AI-SPM) are becoming integral to many organizations.

Gartner defines DSPM as “... visibility as to where sensitive data is, who has access to that data, how it has been used, and what the security posture of the data stored or application is.” Put simply, DSPM solutions discover, classify and remediate data risks in cloud environments.

AI-security posture management (AI-SPM) is a cloud native application protection platform (CNAPP) domain that gives security teams full visibility and security of AI workloads, services and data used in training and inference without deploying an agent. It identifies and prioritizes AI resources based on sensitivity, access and risk relationships, providing the context needed to isolate the most critical AI exposures.

In summary

Though standalone DSPM and AI-SPM services act as powerful spotlights to illuminate data and AI resources, if they’re not combined with broader cloud security measures, they can't prevent unauthorized access or breaches that exploit vulnerabilities in the cloud infrastructure.

While the combination of AI and cloud offers immeasurable benefits, it introduces risks that could jeopardize sensitive data and data integrity, ultimately diminishing customer trust and business bottom lines. Organizations need DSPM and AI-SPM to pinpoint their valuable data and AI resources and cloud security solutions to build a secure vault around them.

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This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

• Monster Hunter Wilds' second major title update is coming soon
• It's scheduled to release at the end of June 2025
• A new event quest is scheduled to arrive next week, too

Monster Hunter Wilds developer Capcom has now confirmed that the game's next major content patch - Free Title Update 2 - is set to arrive at the end of June.

While no specific release date has been given as of yet, the official Monster Hunter X / Twitter account made the announcement alongside a teaser image of one of the update's highly-anticipated returning monsters - Lagiacrus.

Aside from Lagiacrus - who debuted in Monster Hunter 3 and hasn't been seen since Monster Hunter Generations Ultimate - there are a few things we know are coming in Free Title Update 2 thanks to Capcom's Director's Letter.

Posted to the official Monster Hunter website, the letter (written by game director Yuya Tokuda) confirms the second major update will bring a new high-difficulty Arch-tempered monster. Some weapons are also set to receive improvements, such as the Hammer and Dual Blades.

Several quality of life updates are also on the way, including improved navigation in the Grand Hub, "improved Seikret usability", photo mode adjustments and - perhaps best of all - layered weapons.

That last one, similar to layered armor, will let you cast a different appearance onto your equipped weapons. That's going to be awesome for players running a particular build that also might not like the way their weapon looks by default.

Additionally, Capcom has announced a new event quest will be arriving on June 17. Completion of the quest will earn you a Wudwud equipment set for your Palico companion, allowing you to dress them up as one of the adorable Scarlet Forest denizens.

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After his bout with postpartum depression, a Texas father created the "Daddy Stroller Social Club." Now, with chapters in multiple cities, the club has become a way for dads to support each other.

Will your AI confidently deliver the right answers or stumble through outdated knowledge while your customers grow increasingly frustrated?

Artificial intelligence (AI) may be changing how businesses interact with customers but there's a critical element that often gets overlooked: the knowledge that powers it. The quality of AI responses directly depends on the information it can access – a relationship that becomes increasingly important as more organizations deploy AI for customer service.

AI is really good at accessing unstructured and structured data and collating it into a well-packaged natural language response. Unlike when you do a Google search, and it comes back with multiple responses (where the level of those answers is largely driven by advertising or other sponsorship) AI looks at the body of knowledge that supports the question being asked.

So, when talking about knowledge-driven AI for customer experience, it's the idea that AI isn't accessing the full scope but rather a well-structured knowledge base. This means companies must carefully choose what information AI can leverage, especially when dealing with decades worth of data.

For example, a customer asking how to make a payment might receive outdated instructions about writing a cheque if the knowledge base contains too much legacy content. By providing a well-structured database which is rich enough to give as many answers as possible but also limiting AI to that particular knowledge base, you can really focus on giving AI the right information to deliver the answers you want customers to receive.

The specificity advantage

When building AI knowledge bases, starting small and narrow before expanding works better than beginning with everything and trying to narrow down. Companies often make the mistake of giving AI access to their entire information universe.

This approach typically creates more problems than it solves. Contact centers especially struggle with AI accuracy when the knowledge base contains outdated information or when AI draws from too many different sources at once. This limitation becomes obvious when you consider AI-generated images. When AI attempts to create images of people, it often produces noticeable errors – too many fingers, oddly positioned hands, or unnatural facial features. AI conversations follow the same pattern.

They appear fine at first glance, but closer inspection reveals gaps in understanding, inappropriate tone, and mechanical empathy. The information provided might be technically correct but lacks the nuance and specificity that customers need. Just as with images, these conversation models improve over time, but the fundamental challenge remains – AI needs well-structured information to avoid these pitfalls.

Experiential learning over algorithms

Ultimately, AI delivers its most reliable performance when confined to specific knowledge and topics. Unlike human agents, AI performs best when it follows a script. This creates an interesting contrast with what we've learned in the BPO industry. Our experience shows that human agents excel when given freedom to go off-script and apply their natural problem-solving abilities.

The best human interactions happen when agents bring their full selves to the conversation. AI, however, functions more like a trainee who needs clear boundaries. You want to keep AI narrowly focused on approved scripts and content until it develops more sophistication. Human agents can provide answers beyond their formal training.

They navigate complex systems, find creative solutions and interpret customer needs in ways that aren't documented. These skills develop through experience and remain challenging for AI to replicate. Today's AI systems can't navigate through interfaces like humans can. They can't click through multiple screens, follow complex processes or interact with CRM systems the way human agents do. AI only knows what exists in its knowledge base.

This limitation highlights why incorporating the lived experience of human agents into AI knowledge bases delivers such dramatic improvements. AI also differs from humans in its approach to uncertainty. It never lacks confidence, even when wrong. AI will state incorrect information with complete certainty if its algorithms determine that's the optimal response.

Human agents learn differently. When customers express frustration or correct a mistake, human agents experience that uncomfortable "oh my gosh" moment that embeds the learning in their conversational memory. Even with limited information, humans adapt quickly. Most AI systems lack this emotional feedback loop, which raises an important question: how do we configure AI to incorporate negative feedback into its knowledge in a meaningful way?

Information architecture is an investment

Creating effective AI knowledge bases requires ongoing attention across several dimensions. The foundation must be structured, current content that accurately reflects your products and services. This isn't a one-time effort but a continuous commitment to maintenance and accuracy. Equally important is establishing appropriate boundaries – giving AI enough knowledge to be helpful while limiting its ability to access irrelevant or outdated information. Improvement must be continuous rather than occasional.

By monitoring where AI struggles and systematically addressing those gaps, organizations keep their systems relevant and effective. Integrating successful human agent interactions represents another critical factor. When you capture what works in human conversations and incorporate those patterns into your AI knowledge base, performance improves significantly. Finally, robust feedback mechanisms allow AI to learn from customer responses without being susceptible to manipulation, creating a system that improves over time.

AI technology will continue evolving, but its effectiveness will always depend on the quality of its knowledge foundation. Organisations that invest in properly structured, well-maintained knowledge systems will see better results from their AI implementations. The future isn't just about deploying more sophisticated AI technologies but building better knowledge ecosystems these technologies can leverage. Your AI is only as good as the knowledge base it's built upon, and getting that foundation right is essential for delivering the customer experience you actually want.

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This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

Markets in Asia opened lower early Friday while oil prices surged after Israel attacked Iran's capital amid the ramping up tensions over Tehran's rapidly advancing nuclear program.

(Image credit: Richard Drew)

Prosecutors accused the owner and his sister of trying to intimidate or manipulate company employees, adding that they could serve as witnesses in the case.

(Image credit: Matias Delacroix)

The stage is set for 32 club teams — including some of the top ones around the world — to compete for the chance to emerge as the champion of a revamped tournament. It hasn't gone great so far.

(Image credit: Luke Hales)

Here are the answers for The New York Times Mini Crossword for June 13.

• The Browser Company has launched an AI-powered browser named Dia
• Dia integrates a personalized AI assistant directly into the address bar
• The AI lets you chat with tabs and will adapt to your style over time

The Browser Company has a new way to travel the web using AI. Best known for its Arc browser, the company has introduced a new browser called Dia, which was first teased at the end of last year. This release follows an announcement last month that active development on Arc was winding down and the company would place its full weight behind Dia.

Unlike traditional browsers that send users searching across tabs or toggling between tools to get things done, Dia places an AI assistant directly into the browser’s address bar.

The idea is that instead of opening ChatGPT in another tab or copying content into a separate tool to summarize or rewrite, you just type your question where you’d usually enter a URL. From there, the assistant can search the web, answer questions about the page you’re on, compare tabs, or even draft content in the tone of a specific site.

Dia is built on Chromium and resembles a standard browser at first glance, but the key differences are found in the way AI suffuses its structure. The AI is omnipresent and customizable, plus there is no need to log in to a separate service. You stay on the page, talk to the browser, and it responds.

In many ways, Dia's AI behaves similarly to most other AI chatbots. You can ask it to summarize an article you're reading, help write an email based on your calendar and browser activity, or generate code with your preferred programming language. You can also personalize how the assistant writes for you in terms of style.

One of the more distinctive features is the browser’s ability to take on the “voice” of a given webpage. If you’re reading a corporate blog or product page and want to generate a document in a similar tone, Dia can adapt its output to match the site’s style.

Dia AI

The features are designed to blend seamlessly with the browser and your other online activities. The AI not only sees your current tabs but also remembers previous interactions, allowing it to use context in its responses. The more you interact with it, the more personalized the AI is supposed to become.

Eventually, it will remember your writing preferences and know which tasks you ask for often and surface those options. Dia is currently in an invite-only beta for Mac, though you can sign up for a waiting list to gain access.

Dia is arriving as browsers race to incorporate AI, and many AI developers are working on browsers. Google Chrome is testing Gemini-powered overlays and sidebars, Opera has its Neon browser promising a full AI agent experience, and Perplexity has its new Comet browser with AI features.

For the many people understandably concerned about privacy when the AI is this clever, The Browser Company claims that Dia handles user context locally where possible and does not send browsing data to third-party providers unless required by the task.

Notably, Dia is centering AI as the main way to engage with the browser. The experience is meant to be rooted in user prompts and direct interaction, not automation. It's also worth noting that Dia means The Browser Company no longer sees Arc as worth spending resources on, despite praise for its design and rethinking of tab management. Dia is less about reinventing browser layouts and more about AI as core functions.

With AI rapidly becoming embedded in everything you touch online, Dia represents a very direct approach to making generative AI central to going online rather than treating AI as a bolt-on feature. The Browser Company is betting that it can be the primary interface for how users browse the web.

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Israel launched an airstrike on Iran overnight. Blasts were heard in the capital Tehran around 3am local time. Israel's defense ministry warned it expects missile and drone retaliation.

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Iran declared it would accelerate its nuclear enrichment program. That announcement came after the U.N. nuclear watchdog said Iran is violating its obligations. Meanwhile a new round of talks between Iran and the U.S. are scheduled for the weekend and President Trump says he is preventing Israel from striking Iran and he wants to see cooperation. We hear the latest developments and the voices of average Iranians who seem unfazed by news from the talks.