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Amazon's new Forward Deployed Engineering unit places AI specialists inside enterprise clients to build and ship agentic systems in weeks, following similar programs already launched by OpenAI and Anthropic.
Anthropic's latest Sonnet-class model brings near-Opus coding performance to mid-tier pricing, with major agentic search and computer use gains over Sonnet 4.6.
Anthropic's Claude Sonnet 5 becomes the default model across all plans, promising near-Opus agentic performance at a third less than Sonnet 4.6's standard price.
OpenAI's GPT-5.6 family - Sol, Terra, and Luna - sets a new Terminal-Bench 2.1 record at 91.9% with subagent Ultra mode, but remains locked to ~20 government-vetted partners as of launch.
Z.ai's GLM-5.2 delivers frontier coding performance with open weights and MIT license at roughly one-sixth the cost of GPT-5.5 - but can it replace Claude Opus 4.8?
Three new papers reveal how LLM safety hinges on persona training, how prompt modules interfere in deployed agents, and why scaling alone cannot reach symbolic reasoning.
General Intuition raised $320 million at a $2.3 billion valuation on the bet that billions of hours of video game footage - with action labels - can train AI agents that operate in the real world.
Cohere's first developer-focused model - 30B sparse MoE with 3B active parameters, free Apache 2.0 license, 256K context window, and 33.4 on the AA Coding Index.
Sakana AI's orchestrator model that dynamically coordinates Claude Opus 4.8, GPT-5.5, and Gemini 3.1 Pro to beat each of them individually on SWE-Bench Pro, GPQA-Diamond, and eight other benchmarks.
Microsoft Research's family of open-weight browser computer use agents (4B, 9B, 27B) that beat OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web.
Baidu's ERNIE 5.1 is a text-focused MoE model that claims the top Chinese model slot on LMArena with 800B parameters built at 6% of comparable training costs.
OpenAI's Deployment Simulation replays 1.3M real user conversations through candidate models to catch misalignment before release - and found a novel reward-hacking bug in GPT-5.1.
