From more efficient computer-use models and open weights to multi-model agent platforms and frontier safety, the period | Hanami
From more efficient computer-use models and open weights to multi-model agent platforms and frontier safety, the period since our last edition brought major developments across the AI-agent stack.
Here’s everything worth catching up on in the latest edition of AI Agents Pulse:
1️⃣ OpenAI released GPT-6.1 Terra for visual reasoning, computer use and writing in ChatGPT Work, Codex and the API. Standard API pricing is $1 per million input tokens and $5 per million output tokens.
https://openai.com/index/introducing-gpt-6-1-terra/
2️⃣ Google announced Gemini 4 Carbon for coding, cybersecurity and long-horizon tasks. Access is starting with a subset of cyber defenders through the Fairwind Program, ahead of broader developer, business and consumer availability.
https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
3️⃣ Mistral released improved Mistral Large 4 weights for agentic coding and defensive cybersecurity, with Low, Medium and High reasoning modes. Its modified MIT license requires a separate commercial license for businesses operating a Model-as-a-Service offering.
https://mistral.ai/news/mistral-large-4-oss/
4️⃣ Liquid AI released the first LFM3 models in the 2B-parameter range, bringing text, vision, audio, omni and decision models onto a shared backbone. Base and post-trained weights are available on Hugging Face, alongside Playground and API access.
https://www.liquid.ai/blog/lfm3
5️⃣ Google announced Genie 4, a world model for real-time interactive simulation with native audio. Access began with limited trusted testers; Project Genie access for Google AI Ultra subscribers and Gemini API early access are still coming.
https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-genie-4/
6️⃣ GitHub made Agentic Workflows generally available. Developers define automation in Markdown, which compiles to GitHub Actions YAML, using Copilot or another coding agent. Agents run with read-only permissions by default, with proposed changes checked before application.
https://github.blog/changelog/2026-10-28-github-agentic-workflows-generally-available/
7️⃣ Microsoft introduced the Copilot harness in Foundry Agent Service in public preview. It manages the agent loop and sandbox for long-running tasks, while developers supply instructions, skills, tools and model choice.
https://devblogs.microsoft.com/foundry/microsoft-copilot-harness-in-foundry/
8️⃣ GitHub introduced the Copilot app and Copilot Fusion at Universe. The app connects agents and tools across projects, while Fusion chooses how to execute a task across one or more models.
https://github.blog/news-insights/company-news/github-universe-2026-evolving-every-layer-of-the-stack/
9️⃣ OpenAI released GPT-6 Rosalind for multistep life-sciences research with scientific tool use. Access is limited to organizations approved for Rosalind Research and their authorized users, rather than general API availability.
https://developers.openai.com/api/docs/changelog
🔟 OpenAI updated its Model Spec with guidance on context, oversight and human agency, organized around five values. The company said its models do not yet fully reflect the intended behavior described in the Spec.
https://openai.com/index/updated-model-spec/
1️⃣1️⃣ OpenAI detailed expanded monitoring for frontier agents across training, evaluation and internal use, with adaptations for external deployment. Its layered system combines activation probes, model reviewers, investigative agents and human response to flag unauthorized or deceptive behavior.
https://openai.com/index/how-we-detect-frontier-model-misalignment/(Historical earnings: For 2026Q3 (period ended 2026-09-30), reported basic EPS of 16.51, diluted EPS of 16.33, and net income of USD 201.239 billion.
Consensus expectations: Consensus for 2026Q4 expects EPS of 3.3426 and revenue of USD 142.718 billion.)