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latentspacepod

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latentspacepod
@7843343784334340
🆕 Presenting: The 2025 AI Engineering Reading List https://t.co/IjOwDdNnnD 1 paper/blog/model family per week for every week of 2025, for you to run paper clubs or binge over the break. https://t.co/kdntw6JFyW
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latentspacepod
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RT @n0riskn0r3ward: Thoughts on the @swyx 'you have to prompt o1 differently' piece: 1. Not really IMO... you can (and should) prompt all S…
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latentspacepod
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RT @FanaHOVA: 88 people at the @latentspacepod paper club for ModernBERT today, with special guest @benjamin_warner from @answerdotai! http…
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latentspacepod
@7843343784334340
RT @JurajPodracky: LLM models ranked by ELO score on @lmarena_ai by @latentspacepod https://t.co/l1uRfbpdok
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latentspacepod
@7843343784334340
đź—˝ News: @aiDotEngineer is headed to NYC!! https://t.co/cwHWfX8qUu Announcing the 2025 AI Engineer Summit. Applications open now!
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latentspacepod
@7843343784334340
RT @latentspacepod: 🆕 Presenting: The 2025 AI Engineering Reading List https://t.co/IjOwDdNnnD 1 paper/blog/model family per week…
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latentspacepod
@7843343784334340
RT @_mohansolo: Thanks @swyx and @FanaHOVA for having us on @latentspacepod. Fun to come back on and record this days after the launch!
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latentspacepod
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RT @SarahChieng: How to train a 120T parameter model (3 min read) Last week, I presented the 'weight streaming' paper at the @latentspacep…
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latentspacepod
@7843343784334340
RT @colin_rews: “If you build an interface that is easy for computers to talk to, it will be used by agents.” -@ericsimons40 on @latentspac…
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latentspacepod
@7843343784334340
RT @eugeneyan: Over the past 18 months, @latentspacepod paper club has had an unbroken streak of hosting EVERY SINGLE WEEK. We've gained te…
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latentspacepod
@7843343784334340
RT @swyx: Super interesting responses from all the NeurIPS LS live attendees so far: - Everyone wants Agents, Vision, Open Models, Transfo…
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latentspacepod
@7843343784334340
Today we’re excited to launch the Windsurf Editor - the first agentic IDE, and then some 🏄 In Windsurf, we have given the AI a previously unseen combination of deep codebase understanding, powerful set of tools, and real time awareness of your in-editor actions. The result? A https://t.co/n9XG5ArYVy
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latentspacepod
@7843343784334340
🆕 Agents @ Work: @dust4ai! https://t.co/Hej8ddpj2k @spolu dishes on the early @openai journey with @gdb and @ilyasut, Dust XP1, and how to make truly useful work assistants with **88% Daily Active Usage** across the entire employee base of customers! also: submit voice
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latentspacepod
@7843343784334340
RT @FanaHOVA: Skill floor / ceilings are a mental model I've been using to understand what industries are good for AI agents: - Customer s…
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latentspacepod
@7843343784334340
NVIDIA silently released the Llama 3.1 70B Instruct Nemotron model which is topping leaderboards. You can try it here: https://t.co/YKM7PtIvTd I sat down with one of the researchers to learn how it performed so well and why they built this 🤙 Anything else I should ask him? https://t.co/k6864jTSvJ
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latentspacepod
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RT @FanaHOVA: In the arena, generating tokens 🏟? @infwinston and @ml_angelopoulos came on the pod to talk about the history and future of…
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latentspacepod
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RT @javitoshi: NotebookLM is clearly in my top5 AI projects. besides the big wow effect it can cause, i believe it points to a future wh…
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latentspacepod
@7843343784334340
RT @raiza_abubakar: Fun to sit down for @latentspacepod with @usamabinshafqat to talk about NotebookLM. Examples like the “chicken” deep…
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latentspacepod
@7843343784334340
https://t.co/TxEuEDrmt8
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latentspacepod
@7843343784334340
NVIDIA presents Upcycling Large Language Models into Mixture of Experts Finds that upcycling outperforms continued dense model training based on large-scale experiments using Nemotron-4 15B trained on 1T tokens https://t.co/lKEtbMeQX8 https://t.co/L4LiEKrWDm
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