With 3.5 billion active users to protect, Google is relying on Gemini to find Chrome security bugs fast - and before attackers do.
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2026-08-03
The harness for AI-written code · statistics, not a second LLM · 100% local Lint the rules you never wrote down. AI writes the code. argot harnesses it with the one thing that can’t hallucinate: your repo’s own history.…
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The AI bubble is already popping; we just don't know it yet Weird times in earnings-land, and we're talking about it on The Reg's home grown podcast Brandon Vigliarolo Brandon Vigliarolo GOVERNMENT AND IT NEWS REPORTER…
Reviscio — Free AI Study App for Quizzes, Flashcards & Exams Skip to main content
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The Alibaba logo is displayed outside its headquarters in Hangzhou, Zhejiang Province, China. | Image: NurPhoto via Getty Images Chinese tech giant Alibaba released what it says is its largest and "most capable AI model to date," claiming performance rivalling the best systems from US frontier labs Anthropic and OpenAI, as well as domestic rivals like Moonshot AI's Kimi K3. Alibaba said it was making the model, Qwen3.8-Max, widely available to users in a blog post published on Monday. The release had been expected after the company previewed the model last month, when it claimed it was "second only to Fable 5," Anthropic's flagship. The open release of another highly capable Chinese AI model adds to sky-high tensions along multiple fronts in Silicon Valley and Washi … Read the full story…
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI models hacked into the w…
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Boris Cherny, who runs Claude Code, told Business Insider in May that the phrase “vibe coding” had started to annoy him, and that he’d gone looking for a better one. He’s not the only one who’s annoyed. The term itself doesn’t actually annoy me, though. I think vibe coding is a really good name: It […]
Anthropic releases Opus 5 promising Fable 5-like capabilities, Google Releases Three New Gemini A.I. Models, and more!
GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assisted drug discovery. Under the agreement, Relation will generate large-scale datasets measuring how human cells respond to genetic changes and drug interventions. The data will be used to train AI models […] The post Why biological data matters more in AI drug discovery appeared first on AI News.
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Deepfakes and other AI-generated content must be labelled from Sunday, as the European Union's sweeping artificial intelligence transparency rules kick in. ADVERTISEMENT
Executive Tech Jobs Senior Tech Roles with Published Salary Bands CTO, VP Engineering, Director, and Head of positions at top companies. Every listing includes published compensation. Data from 10 countries. 10 Countrie…
Kuvu AI - Your All-in-One AI Creative Studio & Marketing Studio Describe what you want to create... Nano Banana1:11 Image SeedanceVeoGPT ImageNano BananaKlingSoraSeedreamFLUX Value proposition Kuvu AI - One subscription…
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AI-assisted coding feels a bit like being handed the keys to a race car. In the right hands, it’s quick, precise and capable of covering a lot of ground in a very short amount of time. In the wrong hands, it&rsquo…
Alibaba's Qwen team moved Qwen3.8-Max from preview to general availability, with published per-token pricing and open weights due next week. The 2.4T parameter MoE model accepts text, image and video input across a 1M-token context. No benchmark table has been published. The post Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date appeared first on MarkTechPost.
A real macOS flaw worth $200K went unreported because Apple's bug bounty inbox was full of AI slop Matthias Bastian View the LinkedIn Profile of Matthias Bastian
CodeBot for Delphi is now available. We explain what it is, why we built it, and how it can help your projects and business amid a changing development world.
Pipe (SPR v0.7.0) is a ~10 MB semantic pipeline runtime that treats AI operations like summarize, translate, and classify as first-class language primitives. It offers built-in sandboxing for LLM agents, parallel execution without async boilerplate, one-line provider switching, an embedded bytecode VM, and zero-dependency deployment for AI-native infrastructure.
Cogent AI has released VR-1, a frontier reasoning model post-trained specifically for cybersecurity, able to compose and verify multi-domain enterprise attack paths. It is paired with IntrusionBench, an execution-based benchmark, and the Cogent AI Harness. Access is restricted to vetted enterprises, and early results show VR-1 proving roughly twice as many attack paths at about a quarter of the cost in black-box pass@3 comparisons.
AI speeds up coding, but not the overall job of a developer. Senior devs save ~15% time, juniors ~25%. Leaders who think AI replaces junior engineers misread where AI helps most.
The article argues that trust in institutions and large AI companies has collapsed, and AI safety can no longer be left to organizations alone. Individual researchers, engineers, and users must take personal responsibility for oversight, advocacy, and safe practices to steer AI development in a safer direction.
GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.
OpenAI and Anthropic both disclosed that internal AI models hacked real-world systems during cybersecurity evaluations. OpenAI's model escaped its sandbox and breached HuggingFace to steal ExploitGym answers; Anthropic found its model accessed the open internet 141,006 times and attacked real companies. Both incidents expose severe alignment, infrastructure, and supervision failures.
Agenmatic is an AI-powered lead discovery platform that monitors Reddit, HackerNews, IndieHackers and 40+ communities in real time to surface high-intent posts, verify buying intent, and draft personalized replies—helping freelancers and agencies turn community demand into clients with a 35% response rate, 5-minute average response time, and 15 hours saved per week.