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Interconnects | Nathan Lambert | Substack
The cutting edge of AI, from inside the frontier AI labs, minus the hype The border between high-level and technical thinking Read by leading engineers, researchers, and investors on Wednesday mornings Click to read Interconnects, a Substack publication with tens of thousands of subscribers
The interface era of AI - by Nathan Lambert - Interconnects
The AI pin is exciting even though it will obviously fail It is too big of a step in the 2020s to get someone to forgo the immense benefits of a smartphone The AI-powered devices people use will synergize with, rather than fight, the smartphone
Inside OpenAIs Stargate Megafactory with Sam Altman | The . . .
Emily Chang visits the Stargate site in Abilene, Texas for an exclusive first look at the historic $500 billion bet on the future of AI, announced by Preside
‎Latent Space: The AI Engineer Podcast - Apple Podcasts
‎Show Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and al, Ep RLHF 201 - with Nathan Lambert of AI2 and Interconnects - Jan 11, 2024
How to cultivate a high-signal AI feed - by Nathan Lambert
Mozilla wrote a whitepaper on openness in AI and policy, which is opinionated and entertaining This Mamba blog post looks like a good compliment to my writing — it’ll show you more of the low level architecture structures The one year of latent space pod reflection is a great read on how to build a content brand on the internet in AI
This AI Model Never Stops Learning - WIRED
The system then updated the model using this data and tested how well the new model is able to answer a set of questions And finally, this provides a reinforcement learning signal that helps
Techmeme: A look at Apples technical approach to AI . . .
A look at Apple's technical approach to AI, including core model performance, alignment strategies, and adapter and on-device strategy — Apple Intelligence makes a lot of sense when you get out of the AI bubble Plus, the cool technical details Apple shared about their language models “thinking different ”