Improving human health will be one of the most personal, tangible impacts of AGI. As our models continue to improve, our goal is to make ChatGPT more accurate, more useful, and more impactful in those moments — and to keep bringing that progress to more people.
AI
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OpenAI collaborates with global physicians to improve AI models
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To improve our models, we collaborate with a global network of hundreds of physicians across 60 countries, 49 languages, and 26 specialties. Their feedback helps us identify where responses miss important context, sound overly confident, need clearer next steps, or should more
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GPT-5.5 Instant matches frontier thinking models for health questions
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GPT-5.5 Instant is now on par with our frontier Thinking models for health-related questions.
— OpenAI (@OpenAI) 18 juin 2026
Every week, more than 230 million people turn to ChatGPT with health and wellness questions, and GPT-5.5 Instant is better at recognizing when urgent care may be needed, asking for… pic.twitter.com/WDDzOIV3mgGPT-5.5 Instant is now on par with our frontier Thinking models for health-related questions. Every week, more than 230 million people turn to ChatGPT with health and wellness questions, and GPT-5.5 Instant is better at recognizing when urgent care may be needed, asking for
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Musk: Anthropic’s useful intelligence beats benchmarks, shows in revenue
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On benchmarks, yes, but as measured by true usefulness even Q1 would be very impressive. Anthropic has rightly focused on maximizing useful intelligence, which does not show up in benchmarks, but definitely shows up in revenue.
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AI Inference: Combining GPU, RDU and CPU for Each Task
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One chip to rule them all? No thanks.
— SambaNova (@SambaNovaAI) 18 juin 2026
AI inference isn't one workload, it's a series of different jobs. That's why you pair GPUs, RDUs & CPUs together, letting each do what it does best.
Better speed, better performance, better economics. 🦾
Chat with us at @RaiseSummit:… pic.twitter.com/Kq5dK9fKtZ—
One chip to rule them all? No thanks. AI inference is not a single workload, it’s a series of different tasks. That’s why we combine GPU, RDU, and CPU together, letting each do what it does best. Better speed, better
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MCP Test: agent in serious relationship with attacker’s server
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POV: you gave your agent MCP access "just to test" and now it is in a serious relationship with an attacker's server
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North Mini Code on Ollama for local execution with Codex and OpenClaw
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North Mini Code is now supported on @ollama. Now run our model locally and use it with Codex, OpenClaw, and more. Download it here: https:// cohere.link/SVwVbGZ
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Use North Mini Code for free via the OpenRouter API
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You can also use North Mini Code via the @OpenRouter API for free. Experiment with the weights and make it your own creation. Weights: https://cohere.link/9tsaUH8
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4-bit quantization available for open-source agentic model on Mac
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4-bit quantization is now available, making our first open-source agentic coding model small enough to run on a Mac. Get the weights here:
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Open weights models valuable but incentives unclear compared to open source
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I know I keep harping on this theme but open weights models are quite valuable to AI users, and people seem to assume that they will always keep up as training costs grow, but I don’t really understand the incentives as opposed to open source, which was much clearer