Anthropic just made a bet that enterprises would rather trade flexibility for speed in their agent deployments, and the early data suggests they might be right.
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The government is pushing Wall Street to test an AI that finds zero-day exploits while the Pentagon calls the same company a supply-chain risk.
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Google just turned your browser into a factory for AI workers you can clone and deploy with one click. Chrome now lets you save any Gemini AI prompt as a reusable "Skill" that runs across multiple tabs with a single click
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Goldman Sachs just said the quiet part out loud: the AI they're using to stay competitive might be the same AI that could break them. Anthropic released Mythos, a new AI model powerful enough that Goldman Sachs CEO David Solomon publicly acknowledged being "hyper-aware" of its cybersecurity risks
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An AI just ran a complete simulated corporate network attack from start to finish—something no model could do a week ago. Anthropic's Claude Mythos Preview completed a full simulated corporate network attack, marking the first time any AI model has accomplished this feat
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The biggest AI wealth transfer in history already happened, and if you're in public markets, you weren't invited. SpaceX, Anthropic, and OpenAI are preparing IPOs, but Baillie Gifford's Peter Singlehurst says public investors already missed the growth that mattered
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Anthropic ships Mythos, and US regulators immediately tell Wall Street it's a cyber risk accelerant. Anthropic released Mythos, its newest AI model, and US officials are already warning financial institutions about elevated cyber threat exposure
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Anthropic built an AI so good at hacking that they won't release it, so Goldman Sachs is testing it instead. Anthropic's new Mythos model is advanced enough that non-experts could exploit vulnerabilities in major operating systems, prompting the company to withhold public release
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MiniMax released a Claude-killer AI agent model, made it free for research, then quietly walked back commercial rights a few hours later. Chinese AI lab MiniMax dropped M2.7, an open-weight model that matches Claude 3.5 Opus on SWE-bench coding tasks, then changed the license within hours
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LinkedIn just turned 1 billion users into potential AI training labor, and the gig economy is about to eat the agent economy's homework.
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Anthropic is getting roasted by its own power users for what they're calling "AI shrinkflation," and the company's denials aren't landing.
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OpenAI's new revenue chief just told employees what everyone already knows but won't say out loud: users treat AI models like gas stations—they'll switch for a penny cheaper.
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The U.S. still leads in AI model releases, but China just installed nine times more industrial robots than America did last year.
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The thing that was supposed to decentralize everything is centralizing, while the thing Big Tech runs is starting to scatter. Bitcoin mining is trending toward centralization while AI computation may actually decentralize, according to new research on infrastructure economics.
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Anthropic just stopped pretending AI is a tool and started treating it like infrastructure. Anthropic now runs most internal work through Claude, using it as an "internal operating system" that replaces traditional software workflows
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The AI power user's new constraint isn't creativity or skill. It's their token budget. Anthropic tightened Claude's usage limits during peak hours, forcing heavy users to restructure when and how they work with AI
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ElevenLabs' sales VP tells candidates to expect "a huge amount of hours" and ruthless quota enforcement as the $11 billion AI voice startup doubles its sales team to 120 people.
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Mark Zuckerberg is building an AI version of himself to talk to Meta employees, and it's not a vanity project. Meta's CEO is training an AI agent modeled on himself to interact with staff as part of Meta's "personal superintelligence" strategy
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Claude can now control Blender, and that's not a party trick—it's a preview of how we'll build things when language becomes the interface layer for every creative tool.
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Noah Smith just mapped the nightmare scenario where AI monopolies become as powerful as nations, and his math is uncomfortably plausible. Noah Smith explores a future where a handful of AI companies control trillions in capital and reshape global power dynamics, calling it the "Robot Lords" scenario
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