“When I saw evidence that our products were being used to harm people and undermine the law, I did what anyone should do—I raised the alarm. Thomson Reuters’ response was to fire me.”

Amazon announces $11.6B merger with Globalstar and satellite deal with Apple.

<p><strong><a href="https://www.dbreunig.com/2026/04/14/cybersecurity-is-proof-of-work-now.html">Cybersecurity Looks Like Proof of Work Now</a></strong></p> The UK's AI Safety Institute recently published <a href="https://www.aisi.gov.uk/blog/our-evaluation-of-claude-mythos-previews-cyber-capabilities">Our evaluation of Claude Mythos Preview’s cyber capabilities</a>, their own independent analysis of <a href="https://simonwillison.net/2026/Apr/7/project-glasswing/">Claude Mythos</a> which backs up Anthropic's claims that it is exceptionally effective at identifying security vulnerabilities.</p> <p>Drew Breunig notes that AISI's report shows that the more tokens (and hence money) they spent the better the result they got, which leads to a strong economic incentive to spend as much as possible on security reviews:</p> <blockquote> <p>If Mythos continues to find exploits so long as you keep throwing money at it, security is reduced to a brutally simple equation: <strong>to harden a system you need to spend more tokens discovering exploits than attackers will spend exploiting them</strong>.</p> </blockquote> <p>An interesting result of this is that open source libraries become <em>more</em> valuable, since the tokens spent securing them can be shared across all of their users. This directly counters the idea that the low cost of vibe-coding up a replacement for an open source library makes those open source projects less attractive. <p>Tags: <a href="https://simonwillison.net/tags/open-source">open-source</a>, <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/drew-breunig">drew-breunig</a>, <a href="https://simonwillison.net/tags/vibe-coding">vibe-coding</a>, <a href="https://simonwillison.net/tags/ai-security-research">ai-security-research</a></p>

Anthony Shkraba/Pexels Fashion has always been a bit different to other industries. Consumers do not just buy because they need something. They buy because they are bored, influenced or simply browsing. That makes it a perfect space for technologies designed to shape how we shop. Fashion sales are driven by cyclical trends and volume. Much of the industry depends on overproduction, followed by constant cycles of discounting to clear stock. Sales are not just occasional events. They are built into how the system operates. And now, a new layer of AI technology is starting to turbocharge that system. Pricing is already starting to change Dynamic pricing has been around for years. We see it most clearly with flights and ride sharing, where prices often increase the more you search, especially when there is a clear intention to pay for the service. But in fashion, demand is not always tied to necessity. Because of this, pricing does not just reward urgency. It can also reward patience. This suggests that dynamic pricing in fashion is not simply about pushing prices up. It is about constantly adjusting them to keep products moving. A recent report from Business Insider in the United States shows how dynamic pricing is already taking hold in fashion retail. Prices of items sitting in an online cart at a major clothing retailer changed multiple times over a few days. Sometimes they went up, sometimes they dropped. In some instances, waiting resulted in a discount of up to 17%. As this becomes more common, shopping will feel less like a simple decision and more like timing a system. In Australia, the consumer watchdog does not consider dynamic pricing inherently unlawful. Broader data-use guidelines around pricing are not yet comprehensive. When the bot does the shopping At first glance, new AI tools for online shopping seem focused on convenience. Virtual try-ons are becoming more realistic, allowing people to see how garments fit and drape on their own bodies. This could help reduce returns, which are a costly burden to retailers. But companies like Google are taking this a step further. You can try items on, set the price you are willing to pay, and the system will track it, notify you when it hits that price, and even complete the purchase if you give permission. What starts as a tool for convenience quickly becomes something more. You’re not even actively shopping anymore, your bot is purchasing on your behalf. This is part of a broader shift towards what is called “agentic commerce”, where an AI agent acts on your behalf based on pre-set preferences. Is the consumer setting the price? Using a shopping agent changes how dynamic pricing works. Traditionally, brands set prices and adjust them based on demand, inventory and consumer behaviour. But in this emerging model, consumers are also feeding into that system directly by stating what they are willing to pay. At first, this feels empowering. It sounds like consumers are gaining more control. But it also creates a new dynamic. Who’s really in control of pricing if both sides are driven by AI? If someone sets a price they are comfortable with, the system can complete the purchase as soon as that price is reached. But the price might have dropped even lower if that data was not available. In effect, consumers may be setting their own limits without realising it. This creates a feedback loop. Retailers optimise prices using data, while consumers provide their own price thresholds. Both sides are guided by algorithms and the final outcome sits somewhere in between. The question is no longer just how prices are set, but who is really influencing them. Convenience meets over-consumption There are clear benefits to this shift. Automating purchases could make everyday shopping easier. But in fashion, where consumption is already high, tech tools that make pricing feel more personalised or within reach are unlikely to reduce consumption. They may even encourage overconsumption. Consumers should be mindful not to let the apparent convenience of shopping bots and personalised pricing alerts lead to a rise in impulse purchases. Aayushi Badhwar does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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US-based startup Haast embeds organizational policy and risk frameworks directly into enterprise workflows, automating high-effort manual compliance processes at scale. Today, Haast, the leading AI-powered enterprise compliance engine, announced it has raised $12 million in Series A funding led by Peak XV Partners, with participation from DST Global Partners, Airtree, Aura... The post Haast Raises $12M to Solve AI Compliance Bottlenecks first appeared on AI-Tech Park.

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New model is the first AI system to complete a difficult multistep infiltration challenge.

Dozens of WordPress plug-ins were allegedly hijacked to push malware after they were sold to a new corporate owner.

Strategic Partnership Brings Enterprise AI Platform to Latin America’s Largest Economy Airia, the leading enterprise AI management platform, today announced a strategic partnership with Performa IT, a premier Brazilian technology consulting and artificial intelligence solutions provider. This collaboration marks Airia’s formal expansion into the Brazilian market, bringing its cutting-edge agentic... The post Airia Partners with Performa IT to Expand AI Solutions into Brazilian Market first appeared on AI-Tech Park.

X is cutting clickbait payouts, but the bigger problem may be a creator program that rewarded attention-chasing behavior before trying to punish it. The post X Cuts Clickbait Payouts and Exposes a Creator Program Problem appeared first on TechRepublic.

In an interview at the Semafor World Economy summit this week, Anthropic co-founder Jack Clark explained why the company was still engaged with the U.S. government while simultaneously suing them.

Waymo's commercial service will eventually follow testing if the U.K. government approves.

Most RAG tutorials focus on retrieval or prompting. The real problem starts when context grows. This article shows a full context engineering system built in pure Python that controls memory, compression, re-ranking, and token budgets — so LLMs stay stable under real constraints. The post RAG Isn’t Enough — I Built the Missing Context Layer That Makes LLM Systems Work appeared first on Towards Data Science.

iFLYTEK, a global leader in intelligent speech and AI technologies, is showcasing its All-In-One AI Solutions at GITEX ASIA 2026 in Singapore, an integrated hardware and software system for private AI computing and model deployment, combined with its Agent Platform for rapid application development, helping goverments and enterprises build and run their... The post iFLYTEK Demonstrates All-In-One AI Solutions at GITEX ASIA 2026 first appeared on AI-Tech Park.

Software engineering has experienced two seismic shifts this century. First was the rise of the open source movement, which gradually made code accessible to developers and engineers everywhere. Second, the adoption of development operations (DevOps) and agile methodologies took software from siloed to collaborative development and from batch to continuous delivery. Now, a third such…

LinkedIn's CEO has a front-row seat to how American careers are changing. They're turning into tktk. Riccardo Savi/Getty Images for Concordia Summit LinkedIn CEO Ryan Roslansky said "soft skills" are more important as AI takes over routine work. He highlighted four communication-specific skills to hone. Other Silicon Valley leaders have made more dramatic predictions about AI's impact on jobs. Personality hires, rejoice. LinkedIn's CEO said soft skills are getting a hard rebrand. In an interview with the "Tools and Weapons" podcast, LinkedIn CEO Ryan Roslansky said AI is automating routine tasks. He argued that the shift is elevating four human-centered skills — curiosity, courage, communication, and compassion. "These turn out to be some really, really important skills to do your job well," the CEO said. "The focus and emphasis on those, along with the AI, is what I think gives us the opportunity to dream big and paint a much more positive picture that exists with humans and technology together moving forward." Roslansky has a broad view of the job market based on LinkedIn data, though he did not cite specific figures in the interview. His view contrasts with some other Silicon Valley voices (and a growing number of Americans). This year, OpenAI investor Vinod Khosla predicted that today's five-year-olds won't need a job. Boris Cherny, the creator of Anthropic's Claude Code, said the job title "software engineer" will fade away this year. Nvidia CEO Jensen Huang recently said he wants high-paid engineers to spend half their salary on AI tokens. Roslansky's vision is less jarring. Instead, he argues that AI is reshaping how people think about their jobs, encouraging workers to view their roles as a "collection of tasks" rather than a fixed title. He breaks those tasks into three buckets: ones AI can fully automate, ones it can augment, and ones that remain deeply human — like resolving conflict, persuading a team, or setting strategy. "These skills, they're important, but they've historically been talked about as soft skills," Roslansky said. "In a professional world where people are actually much better at these skills and have really honed their craft on it, I think that it makes things a lot better." As AI handles more automated responsibilities, Roslansky said that agents can free up time for coworker conversations, putting a greater premium on communication, judgment, and emotional intelligence. He said his thought process has given him a hopeful view of AI's future. Still, he said he doesn't have a crystal ball and could ultimately be wrong. "Sometimes when you're mired in the technology, and especially with AI, and you kind of draw out where this could potentially go, it leads you to some dark places," he said. "I believe that humans play such an integral role in shaping where that technology should go." Read the original article on Business Insider

James McMillian, the president of Tone House, shared his tips for building muscle, whether you're a complete beginner or just pressed for time. James McMillian James McMillian is the president of Tone House, a strength training facility in New York City. McMillian shared a few tips for building muscle fast, especially if you don't have a lot of time. Compound exercises work multiple muscle groups simultaneously, while explosive movements develop power and speed. Since childhood, James McMillian has learned the value of slowly getting stronger. McMillian said he was diagnosed with asthma when he was born, and doctors advised his parents against letting him play sports like youth tackle football. "It made me tell myself that I need to train harder," McMillian told Business Insider. Before and after practice, McMillian recalled running up the stadium steps six times. He'd also run to practice or run home with his sports equipment. Even though his asthma wasn't induced by sports, he noticed that the extra training kept him from being as winded. McMillian is now the president and a trainer at Tone House, a strength training and conditioning-focused training facility deemed by Business Insider as "the hardest workout in New York City." He applies that same mentality from his upbringing to Tone House workouts that he coaches. McMillian, who coaches classes at Tone House, believes in zooming in on your weaknesses. James McMillian "You're going to be exposed for your weaknesses, but then you should always turn your weaknesses into your strengths," he said. McMillian believes progressively overloading — slowly adding weight, reps, or intensity — is the best way to build strength. "I always tell people, 'If you don't use it, you'll lose it," he said, particularly since we lose muscle mass as we age. "You're going to want to pick up your kid. You're going to want to hold those groceries. You're going to want to hold your Louis Vuitton bag a little bit longer at an event. You have to be strong to do that." McMillian shared a few of his favorite quick movements to build muscle, whether you're a complete beginner, pressed for time at the gym, or wanting to speed up your progress. Raise a glass to goblet squats Goblet squats target both the upper and lower body, and are approachable for complete beginners. gradyreese/Getty Images McMillian's favorite movement for beginners is the goblet squat, or squatting while holding a heavy kettlebell or dumbbell. "When you're going into that squat, as you allow those knees to go out, you're working that lower body, your glutes, your hamstrings," he said. At the same time, you're also engaging your lats, triceps, forearms, and upper back from holding the weight. To make the goblet squat more challenging, he said, you can elevate your heels to focus on building quad strength. McMillian also said it's easy to start with a lighter weight, say 10 pounds, and gradually work your way up. Save time with compound exercises McMillian loves doing consecutive sets of arm movements like bent-over rows. James McMillian Some of the best time-savers are compound exercises, which target multiple parts of the body at once and "allow you to shorten your time at the gym," McMillian said. A favorite of McMillian's is transitioning from a squat to an overhead press, thus targeting both the upper and lower body. He also likes to string together multiple consecutive movements. He opts for two rounds of 20 shoulder presses, 20 hammer curls, and 20 bent-over rows, all right after each other to activate different parts of his upper body. "It's intense, it burns, but it's something that people can do with a single dumbbell," he said, thus also saving time on swapping out equipment. It's also customizable, he said: You can use lighter weights and do fewer reps, but increase the number of rounds, for example. Play with tempo Lowering slowly before exploding back up helps build control, McMillian said. MoMo Productions/Getty Images Explosive exercises — deliberately slowing down your tempo and "exploding" at the end of the movement — are also great for improving your strength, McMillian said. He's a fan of slowing down his back squats: lowering slowly for five seconds, pausing for another five at the bottom, and then quickly pushing up. "When you do things a little bit slower, controlled, it builds strength," he said, noting there's more than one way to challenge yourself. Read the original article on Business Insider

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