NLP Newsletter (Elvis)In today’s issue:
OpenAI ships the GPT-5.6 family
Meta releases Muse Spark 1.1
OpenAI launches ChatGPT Work agent
xAI releases Grok 4.5 for coding
Cognition ships SWE-1.7 at 1000 tok/s
Mistral drops Robostral Navigate
Harness design sets agent economics
OpenAI launches GPT-Live voice
Google open-sources Gemma 4
Tencent open-sources 295B Hy3
Google ships Cloud Run sandboxes
Nous puts Hermes Agent in the cloud
Microsoft releases Flint for agents
Ternlight runs embeddings in-browser
GPT-5.6 proves 50-year math conjecture
Databricks benchmarks coding agents
OpenAI audits SWE-Bench Pro
FrontierFinance benchmarks agent analysts
Paper turns memory into navigation
GitLost tricks GitHub’s AI agent
Anthropic finds a global workspace
Sakana replays Picbreeder with VLMs
And all the top AI dev news, papers, and tools.
Top Stories
OpenAI Ships the GPT-5.6 Family
OpenAI began rolling out its GPT-5.6 family, Sol, Terra, and Luna, across ChatGPT, Codex, and the API.
Capability tiers: The number marks the generation while Sol, Terra, and Luna are durable tiers that advance on their own cadence. Sol is the flagship for the hardest tasks, Terra matches GPT-5.5 at lower cost, and Luna is the fastest and cheapest.
Built for agents: GPT-5.6 is the new default brain behind Codex and ChatGPT Work, tuned for long-horizon tool use and coding.
Pricing: Sol runs 5 dollars/30 dollars per million input/output tokens, Terra 2.50 dollars/15 dollars, and Luna 1 dollar/6 dollars.
Rollout: Live now in ChatGPT, Codex, and the API, with the Codex desktop app merging into the ChatGPT app on Windows and Mac.
Meta Releases Muse Spark 1.1
Meta Superintelligence Labs released Muse Spark 1.1, a multimodal reasoning model built for agentic tasks, and opened the Meta Model API to developers for the first time.
Agent orchestration: Works with native tools, MCP servers, and custom skills, and can act as a main agent that plans and delegates work to parallel subagents.
Agentic benchmarks: Posts SOTA scores on MCP Atlas (88.1), JobBench (54.7 vs Opus 4.8 at 48.4 and GPT-5.5 at 38.3), and Humanity’s Last Exam with tools (62.1 vs Opus 4.8 at 57.9), plus FinanceBench.
Long context: Supports a 1M-token context window for long-horizon, multimodal work.
Open API and pricing: Meta Model API is in public preview at 1.25 dollars/4.25 dollars per million input/output tokens, with 20 dollars in free credits for new accounts.