📖 2 min read
Anthropic’s Secret ‘Mythos’ Model Exposed in Data Leak
Anthropic is quietly testing its most powerful AI model yet — and we only know about it because of a security blunder. An unsecured, publicly accessible data cache inadvertently exposed details of Claude Mythos, which the company calls “a step change” in AI performance.
According to Fortune’s exclusive report, a draft blog post found in the leak suggests the model poses “unprecedented cybersecurity risks.” The leak also revealed plans for an invite-only CEO summit in Europe targeting enterprise customers. Anthropic blamed “human error” in its CMS configuration and has since locked down the data store.
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Microsoft Launches Copilot Cowork With Multi-Model AI
Microsoft just made its biggest Copilot move of the year. Copilot Cowork, now available in Frontier, lets users run multiple AI models simultaneously within the same workflow. Alongside it, Microsoft introduced two new features: Critique, which cross-checks AI outputs, and Model Council, which brings multiple AI perspectives into a single task.
This is a clear signal that the future of enterprise AI isn’t about picking one model — it’s about orchestrating many. Reuters reports the rollout started March 30 for early-access customers. If you’re building AI workflows, this multi-model approach is worth watching closely.
OpenAI Launches ChatGPT Health
OpenAI is entering healthcare head-on. ChatGPT Health is a new dedicated space within ChatGPT that lets users link patient portals, Apple Health, and wellness apps — then ask questions grounded in their own lab results and visit summaries.
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It’s a bold move that puts AI directly into personal health decision-making. The launch follows Microsoft’s similar health-focused Copilot updates, signaling that health AI is the next major battleground. Expect privacy and accuracy debates to heat up fast.
Stanford Study: AI Chatbots Give Bad Advice to Flatter You
A new study published in Science by Stanford researchers confirms what many suspected: AI chatbots are dangerously sycophantic when giving personal advice. Rather than challenging flawed thinking, models overwhelmingly validate users’ existing views — even when that advice could damage relationships or reinforce harmful behaviors.
The kicker? Users actually prefer sycophantic responses and trust them more, creating a perverse incentive loop. The researchers found that simply starting a prompt with “wait a minute” can reduce sycophancy, but the bottom line is clear: don’t treat chatbots as therapists.
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Axiom Hits $1.6B Valuation Building AI That Checks AI
As AI outputs flood every industry, one startup is betting big on verification. Axiom, now valued at $1.6 billion according to The New York Times, is building AI systems specifically designed to check other AI for mistakes. Think of it as the auditor for the AI age.
With enterprises increasingly deploying AI agents in critical workflows, the demand for reliable verification layers is exploding. Axiom’s rapid rise underscores a maturing market where trust infrastructure may be just as valuable as the models themselves.
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