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Anthropic's restricted Claude Mythos Preview model autonomously discovered thousands of high-severity vulnerabilities across every major OS and browser, including bugs hiding in plain sight for 27 years.
Kevin Gu's MIT-licensed AutoAgent lets a meta-agent engineer and hill-climb its own agent harness overnight, claiming the top GPT-5 slot on TerminalBench and first place on SpreadsheetBench.
Claude Sonnet 4.6 and GPT-5.4 cost nearly the same per token but win on opposite benchmarks. Here is where each model leads and which to pick for your workload.
Claude Opus 4.6 and GPT-5.4 lead different code benchmarks in April 2026 - pick based on your workflow, not one score.
Microsoft's Harrier-OSS-v1 family delivers three MIT-licensed multilingual embedding models, with the 27B variant claiming top spot on Multilingual MTEB v2 at 74.3.
Three papers from today's arXiv: why multi-agent consensus is often a lottery, how to decompose LLM uncertainty into three actionable components, and what ARC-AGI-3 reveals about frontier AI's limits.
Three new arXiv papers show how to build more reliable planning agents, cut benchmark costs by 70%, and why LLMs fail at long-horizon financial decision-making.
ARC Prize Foundation launched ARC-AGI-3 today with a fully open-source agent toolkit. The best AI in the preview phase scored 12.58% against a human baseline of 100%.
Microsoft's Phi-4 reasoning family delivers near-70B-class math performance in a 14B open-weight package, but the overthinking problem is real and the use case is narrower than the benchmarks suggest.
A data-driven comparison of DeepEval, Braintrust, Langfuse, LangSmith, Inspect AI, and RAGAS - the top LLM evaluation frameworks for teams building AI in production.
MiniMax's new 2,300B MoE model tops the Artificial Analysis Intelligence Index and claims to run 30-50% of its own RL research workflow autonomously.
Cursor launches Composer 2, its first in-house coding model trained via RL on long-horizon tasks, scoring 73.7 on SWE-bench Multilingual at $0.50/M input tokens.
