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OpenAI Team Responds to Computer Use Progress Doubts, Recaps One-Week Sprint on Decisions API
In a podcast after OpenAI DevDay, Ari Weinstein, who is in charge of the Computer Use agent, responded to Dwarkesh's doubts about Computer Use progressing slowly, saying it is now completely different from a few months ago because the model has become better at debugging and retrying, and can write JavaScript to execute multiple steps at once while combining screenshots, accessibility, DOM, and Playwright. He also mentioned that Dots provides each Dot with a cloud Linux virtual computer, and that Computer Use has entered the Agents API. Nikunj Handa, head of the OpenAI API team, introduced updates to GPT-6 such as asynchronous tool calling, mid-turn steering, WebSockets, UltraFast inference, prompt caching and pre-warming, and compaction, and said the Decisions API is based on Luna weights, with no new model trained, and took only about a week from the emergence of the idea to a prototype.
In a podcast after OpenAI DevDay, Ari Weinstein, who is in charge of the Computer Use agent, responded to Dwarkesh's doubts about Computer Use progressing slowly, saying it is now completely different from a few months ago because the model has become better at debugging and retrying, and can write JavaScript to execute multiple steps at once while combining screenshots, accessibility, DOM, and Playwright. He also mentioned that Dots provides each Dot with a cloud Linux virtual computer, and tha
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TypeSafe CEO Diogo Almeida on Jev: Building a System One Model for Production, Not for God
InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suits products like ChatGPT but fragments intelligence at the API layer, and said TypeSafe would rather be seen as a data lab, refusing to publish benchmark tests. He revealed that Jev's daily token consumption has exceeded one trillion since launch, and previewed follow-up models such as ReasoningJev.
InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suit
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Latest Open Source Model Roundup, Issue 24: Motif-3, GLM-5.3, Hy4-preview, and Open Source License Changes
The Interconnects Issue 24 open source model roundup notes that in 2026 Western vendors shifted to Apache 2.0, while leading Chinese vendors instead tightened their licenses: Zhipu's GLM-5.3 changed from MIT to a custom license, requiring model service providers with annual revenue exceeding $10 billion to first pass a Z.AI security review, and Kimi K3 and MiniMax M3 also attached commercial agreements or revenue thresholds. The models included in this issue are the MIT-licensed Motif-3, Xiaohongshu dots-studio's dots3-note-prev, Qwen3.8-Flash-Next (125B-A6B, including 51B n-gram embeddings, using GDN and Qwen Sparse Attention), GLM-5.3-Flash, which is being trialed first on OpenRouter and OpenCode under the name Ox-Alpha, Tencent's Hy4-preview, as well as NVIDIA Nemotron-3.5-Lightning-30B-A3B, Ant Group's Ling-3.0-flash, and Qwen3.8-2.4T-A95B.
The Interconnects Issue 24 open source model roundup notes that in 2026 Western vendors shifted to Apache 2.0, while leading Chinese vendors instead tightened their licenses: Zhipu's GLM-5.3 changed from MIT to a custom license, requiring model service providers with annual revenue exceeding $10 billion to first pass a Z.AI security review, and Kimi K3 and MiniMax M3 also attached commercial agreements or revenue thresholds. The models included in this issue are the MIT-licensed Motif-3, Xiaohon
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GLM-5.2 Is a Turning Point for Open Source Agents
The author of Interconnects believes GLM-5.2 is the first open-weight model that is truly usable in coding agent frameworks, and community benchmarks show it is the only open source model able to compete head-to-head with the latest models from OpenAI and Anthropic. The author tested calling the model in Claude Code via the Fireworks API; overall capability immediately felt usable, but they encountered an issue where the framework sending images to the model caused the API session to break, requiring manual clearing of the context. The author calculates that 204 days separate the release of Claude Opus 4.5 from the release of GLM-5.2, falling within the commonly cited 6-to-9-month performance gap between open source and closed source, and believes this will intensify pricing pressure on heavy token consumers, benefiting the open source model inference and fine-tuning ecosystem.
The author of Interconnects believes GLM-5.2 is the first open-weight model that is truly usable in coding agent frameworks, and community benchmarks show it is the only open source model able to compete head-to-head with the latest models from OpenAI and Anthropic. The author tested calling the model in Claude Code via the Fireworks API; overall capability immediately felt usable, but they encountered an issue where the framework sending images to the model caused the API session to break, requ
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