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ChatGPT: The Agentic App
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Thinking, Searching, and Acting
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Coding as the epicenter of AI progress and the path to general agents
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On China's open source AI trajectory
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Ranking the Chinese Open Model Builders
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Contra Dwarkesh on Continual Learning
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GPT-5 and the arc of progress
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gpt-oss: OpenAI validates the open ecosystem (finally)
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Towards American Truly Open Models: The ATOM Project
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Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
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The White House's plan for open models & AI research in the U.S.
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Kimi K2 and when "DeepSeek Moments" become normal
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The American DeepSeek Project
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Some ideas for what comes next
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Crafting a good (reasoning) model
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The rise of reasoning machines
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What comes next with reinforcement learning
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How I Write
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A taxonomy for next-generation reasoning models
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Claude 4 and Anthropic's bet on code
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People use AI more than you think
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My path into AI
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What people get wrong about the leading Chinese open models: Adoption and censorship
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State of play of AI progress (and related brakes on an intelligence explosion)
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Transparency and (shifting) priority stacks
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OpenAI's o3: Over-optimization is back and weirder than ever
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OpenAI's GPT-4.1 and separating the API from ChatGPT
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Llama 4: Did Meta just push the panic button?
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RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
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Gemini 2.5 Pro and Google's second chance with AI
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Managing frontier model training organizations (or teams)
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Gemma 3, OLMo 2 32B, and the growing potential of open-source AI
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Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
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Elicitation, the simplest way to understand post-training
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Where inference-time scaling pushes the market for AI companies
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GPT-4.5: "Not a frontier model"?
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Character training: Understanding and crafting a language model's personality
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Claude 3.7 thonks and what's next for inference-time scaling
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Grok 3 and an accelerating AI roadmap
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An unexpected RL Renaissance
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Deep Research, information vs. insight, and the nature of science
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Making the U.S. the home for open-source AI
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Why reasoning models will generalize
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Interviewing OLMo 2 leads: Open secrets of training language models
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DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
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Let me use my local LMs on Meta Ray-Bans
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(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models
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The state of post-training in 2025
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Quick recap on the state of reasoning
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(Voiceover) 2024 Interconnects year in review
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(Voiceover) OpenAI's o3: The grand finale of AI in 2024
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(Voiceover) The AI agent spectrum
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(Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses
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Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
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(Voiceover) OpenAI's o1 using "search" was a PSYOP
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(Voiceover) OLMo 2 and building effective teams for training language models
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(Voiceover) Tülu 3: The next era in open post-training
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(Voiceover) Scaling realities
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(Voiceover) Saving the National AI Research Resource & my AI policy outlook
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Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next
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Interviewing Andrew Carr of Cartwheel on the State of Generative AI
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(Voiceover) Why I build open language models
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(Voiceover) Claude's agentic future and the current state of the frontier models
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Interviewing Arvind Narayanan on making sense of AI hype
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(Voiceover) Building on evaluation quicksand
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Interviewing Andrew Trask on how language models should store (and access) information
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How scaling changes model behavior
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[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism
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Interviewing Riley Goodside on the science of prompting
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[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem
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[Article Voiceover] Reverse engineering OpenAI's o1
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Futures of the data foundry business model
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A post-training approach to AI regulation with Model Specs
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OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference
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OLMoE and the hidden simplicity in training better foundation models
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On the current definitions of open-source AI and the state of the data commons
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Nous Hermes 3 and exploiting underspecified evaluations
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Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents
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A recipe for frontier model post-training
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Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education
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GPT-4o-mini changed ChatBotArena
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Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem
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SB 1047, AI regulation, and unlikely allies for open models
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Switched to Claude 3.5
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Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws
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RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition
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Frontiers in synthetic data
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Text-to-video AI is already abundant
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AI for the rest of us
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A realistic path to robotic foundation models
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We aren't running out of training data, we are running out of open training data
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Name, image, and AI's likeness
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OpenAI chases Her
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OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions
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RLHF: A thin line between useful and lobotomized
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Phi 3 and Arctic: Outlier LMs are hints
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AGI is what you want it to be
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Llama 3: Scaling open LLMs to AGI
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Stop "reinventing" everything to "solve" alignment
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The end of the "best open LLM"
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