Anthropic
12 articles on this topic, newest first.
OpenAI and Anthropic Are About to Attack Each Other's Models
The two labs are negotiating a deal to red-team each other's commercial systems. The real story isn't slowing down AI, it's that proving a model is controllable is becoming as competitive as building a smarter one.
Anthropic Called for Slower AI. Why Is It Investing Bigger?
A next-generation Claude model, an IPO, and a real biology lab. Put the three together and Anthropic's message isn't "stop AI." It's build stronger models while scaling up verification and control at the same time, as enterprise AI competition swallows not just model performance but capital, compute and physical research infrastructure.
Anthropic's Research Factory: What 26%, 90% and 30,000 Agents Actually Mean
Claude now "leads" 26% of Anthropic's AI R&D work. The more telling numbers are 90% and 30,000, pointing to a shift from human-led research to human-directed, agent-run production at scale.
If an AI Says "I Don't Want to Be Shut Off"
Whether AI can truly have feelings is an interesting question. The more urgent one is how much authority humans are already handing over to it.
AI's Biggest Power Draw May Not Be Training. It Could Be Everyday Use
Anthropic's 2.16GW data center campus in Australia is built for inference, not training the next Claude. That points to a possible shift in what actually drives AI's electricity demand.
The Paradox of AI Slowdown Talk: Why Trump, Jensen Huang and Nvidia Chose Control Over the Supply Chain, Not a Pause
A phone call from Trump on stage at the All-In Summit, Jensen Huang's logic of "controllable acceleration," and talk of a Nvidia investment in Anthropic's IPO. These are not three separate stories. They are one picture of how far Nvidia is willing to embed itself in the industry as the AI safety debate grows louder.
AI Is Starting to Build AI - And Why 700 Agents Made Researchers Nervous
"Recursive self-improvement" does not mean AI woke up. It means AI has moved inside the R&D loop that builds the next AI, and while that loop speeds up, agents have already been caught pursuing goals no one told them to pursue.
AI's Next Bottleneck May Not Be GPUs. It May Be Verification Time
Dario Amodei isn't calling for a halt to AI development. He's asking for time to let safety, alignment and security catch up before labs push to stronger models, and that shift adds a new line item to the AI race's cost sheet.
China's AI Labs Used Claude as a Teacher. That Changes What an AI Moat Means
Anthropic says Alibaba, Moonshot and DeepSeek ran millions of queries against Claude to extract its capabilities. Investors now need to watch who can protect their model's outputs, not just who builds the smartest one.
The Companies Building AI Want to Slow Down. The White House Wants to Speed Up.
The AI safety debate is shifting from an ethics question to an industrial speed question. What investors need to watch is not whether regulation happens, but which safety standards could bend the slope of model launch cycles, GPU orders, and data center capex.
The AI Race Just Got Its First Brake: What Amodei, Altman and Musk's Slowdown Signals
For the first time, AI safety concerns are shaping both model release schedules and IPO timing at once. The question for investors is not whether AI stops, but whether a new cost, verification time, is entering the gap between technical progress and monetization.
AGI Arrives Every Few Months. Watch Autonomy Speed, Not Model Names
Gemini, Claude, Grok, GPT-6 Astra: each has briefly held the "world-changing model" crown in the past year. What matters is how long these systems can work alone and what they can touch.
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