Simon Willison's Weblog·4 weeks ago·
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● 14 sources
LLM 0.32rc2 release updated the default model from GPT-4o mini to GPT-5.6 Luna and added an openai endpoint command for running prompts against OpenAI-compatible endpoints without prior configuration. GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens, compared to GPT-4o mini's $0.15/$0.60. Users can now test prompts against local or remote compatible endpoints directly via CLI without installing LLM.
Google DeepMind released Gemini Robotics 2, a suite of three AI models for controlling robots across whole-body movement, multi-finger dexterity, and multi-robot collaboration. The system achieves success rates ranging from 32% to 92% depending on task complexity, with one model checkpoint controlling multiple robot embodiments including the Apptronik Apollo 2 and Franka Duo. Robots can now adapt to unpredictable environments, transfer skills between different bodies, and coordinate with other robots on shared tasks rather than relying on pre-programming or teleoperation.
Simon Willison's Weblog·1 month ago·
14
● 14 sources
LLM released version 0.32 release candidate, introducing a new database schema that uses content-addressable hash IDs for stored messages to enable deduplication and support for forked conversations. The update adds support for three new model variants: gpt-5.6-sol, gpt-5.6-terra, and gpt-5.6-luna. Existing data is preserved but users should back up their logs.db file before upgrading due to the significant schema changes.
OpenAI released GPT-5.6, a model family designed to balance performance with cost efficiency through load balancing and caching techniques that process more tokens effectively. The model includes a variant called GPT-5.6 Sol that optimizes its own code execution and resource allocation. This allows the system to handle increased workloads while reducing computational costs.
Google launched Gemini 3.5 Flash, a faster mid-tier model with improved agentic capabilities and visual understanding, but at three times the price of its predecessor. The model costs $1.50 per million input tokens (compared to $0.05 for Gemini 3 Flash) and topped benchmarks like APEX-Agents-AA with 47.1% accuracy. Higher per-token prices across major AI providers mean the "Flash" designation no longer signals a cost advantage for developers building agents. Meanwhile, the European Union delayed high-risk AI regulations to December 2027 and December 2026 for other provisions, citing competitiveness concerns, though it strengthened rules banning non-consensual intimate imagery.
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