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the work.

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Claude um you call the tool, you get your result back, but it renders it in line as part of the conversation as text. What it didn't have until now is a standardized way of presenting UI interfaces. And that's where MCP apps comes in. It was launched about a month ago and it's the first official extension to model context protocol. And probably the bit that surprised everyone is it was co-authored by both Anthropic and OpenAI building upon the MCP UI

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OpenAI O1 models probably trained gpt-4o and turbo in chain of thought

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Chris Hay joins Tim Hwang, Sascha Brodsky, Kaoutar El Maghraoui and Kush Varshney to discuss Claude model updates, AI agent security, hardware guidelines and Runway’s interface-generating model.

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Chris Hay joins Tim Hwang, Aaron Baughman and Kate Soule to examine the response to DeepSeek, distinguish early claims from established facts, and discuss model distillation and competition in open models.

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DeepSeek R1 Coldstart: How to TRAIN a 1.5B Model to REASON

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DeepSeek R1 vs O1: Which REASONING MODEL Reigns Supreme?

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QWEN 2.5 Coder (32B) LOCALLY with Ollama, Open WebUI and Continue

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Understanding STaR and how it powers Claude and Gemini/Gemma 2 (and maybe OpenAI Q* or Strawberry)

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Python with Stanford Alpaca and Vicuna 13B AI models - A llama-cpp-python Tutorial!

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Chris Hay appears as a panelist in IBM’s Mixture of Experts episode “Anthropic Claude Opus 4.6 vs OpenAI GPT-5.3-Codex: The AI "big game””.

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Chris Hay appears as a panelist in IBM’s Mixture of Experts episode “LlamaCon, Qwen3, DeepSeek-R2 rumors and JP Morgan’s open letter on AI”.

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Chris Hay appears as a panelist in IBM’s Mixture of Experts episode “OpenAI o3, DeepSeek-V3, and the Brundage/Marcus AI bet”.

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Chris Hay appears as a panelist in IBM’s Mixture of Experts episode “Meta's Llama 3.1, Mistral Large 2 and big interest in small models”.

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I quantized Qwen3.8-27B — and used the process to look at what “4-bit” actually means in practice.

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I Decoupled Attention from Weights - Gemma 4 26B

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What if the FFN weights in a transformer aren't a black box — but a graph database you can query directly?

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GPT-OSS-20B Has a Secret Layer That Classifies Every Question Before Answering

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Mixture of Experts, Plus One: Injecting Python into GPT-OSS

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Layer 15 Exposed - How GPT-OSS Routes Every Decision Before Output

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DeepSeek 3.2 vs GPT 5.2: Agentic AI Face-Off