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Patrick OShaughnessy interviews Sam Altman on topics including Kimi, distillation, open source, compute bets, the Hugging Face incident, and life after AGI.
A record of the conversation between Tian Yuandong and Holly Zheng about transcending superintelligence at the AGI Summit.
A thread discussing the potential societal impact of open-weight AI models, referencing Kimi's performance and the concept of 'AI communism'.
@trq212 promotes a discussion on 'This Year In Claude' featuring AI Engineer, Simon Willison, Cat Wu, and others, covering Claude Code, Fable, Anthropic culture, and product strategy.
A Hacker News user asks about the last task where only a frontier model could do it, sparking discussion on the limits of current AI capabilities.
Discussion on whether large models have a moat. As training methods become widespread, new models are impressive but easily caught up. Explores whether the final landscape will be dominated by a single super model or multiple models in their respective fields.
A researcher observes a subtle convergence in model outputs across recent releases, hypothesizing it stems from shared synthetic data ancestry and proposes the term 'EchoCreep' for the phenomenon, seeking community input on evaluation metrics and potential cures.
A Hacker News discussion thread explores the desire for tech news sources that exclude AI, with participants debating AI's impact on software development and the need to separate AI hype from useful tools.
A discussion question about common misconceptions regarding AI capabilities.
Nathan Lambert and Finbarr Timbers discuss the latest post-training recipes for large language models, including DeepSeek V4, GLM 5.1, Kimi K2.6, and the industry shift to multi-teacher on-policy distillation.
A recorded discussion about effectively running autonomous long-running coding agents, including insights on goal setting, model selection, and best practices, made freely available.
A user shares their perspective on AI, acknowledging criticisms from artists but highlighting its positive potential in healthcare, arguing against blanket rejection.
The poster shares a shift in perspective on the AI application layer, using the analogy of cameras and painters to illustrate that agents do not automatically confer system design, product judgment, or other abilities. Output becomes cheaper, but good products do not automatically increase.
A recorded March 2026 conversation with Demis Hassabis covering AI's hardest solved problems, drug discovery, military use, human uniqueness, and his legacy.
A reflective piece arguing that the proliferation of AI tools is turning professionals into prompt-dependent 'managers' rather than true craftsmen, and warning that those who maintain their own foundational skills will command higher value.
A discussion on X about the difficulty of achieving model superpersuasion, noting that frontier models will be broadly distributed and quickly recognized as slop, along with a quote from Dwarkesh Patel on the mistake of conflating intelligence and power.
A discussion on how knowledge work revolves around persuasion, featuring a quote from Dwarkesh Patel about the conflation of intelligence and power.
Redis creator @antirez predicts that the full impact of llama.cpp will materialize as computer RAM increases, AI models improve, and China continues releasing open-weight models.
A social media discussion debating the mathematical or codifiable nature of an intuition proposed by François Chollet.
Matt Shumer shared a tweet, likely discussing AI-related topics given his background.