A benchmark with no peeking: double-blind AI evaluation
How a cryptographic enclave can test a closed model independently without exposing either its weights or the questions.
13 long-form stories · 10 source-led AI analyses
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How a cryptographic enclave can test a closed model independently without exposing either its weights or the questions.
What Anthropic’s disclosure teaches us about isolation, permissions and monitoring for long-running AI agents.
Automated researchers found mitigations for ten measurable failure classes, while still requiring supervision themselves.
A new atlas attempts to organize the effect of every possible single-letter change in the human genome.
A new model combines live satellite observations, frequent refreshes and high spatial resolution.
Claude translated an established line of reasoning into a complete, computer-checked Lean proof.
Agents are taking on multi-hour research tasks, while planning, intervention and judgement remain human responsibilities.
A Gemini system generates, critiques, compares and evolves hypotheses while the laboratory still decides what to test.
OpenAI published a claimed Navier–Stokes solution and a Lean formalization. Mathematical acceptance is only beginning.
Specifications, new agent mechanics, pricing and limits of OpenAI’s latest flagship model.
A practical way to separate useful automation from impressive features that only add complexity.
Trust is not a messaging layer. It grows from predictability, control and honestly communicated limits.
How better questions, varied sources and small experiments create an advantage in a fast-changing world.