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Deep Research, information vs. insight, and the nature of science
Article: https://www.interconnects.ai/p/deep-research-information-vs-insight-in-science (sorry about some more audible breaths in this -- I'm going to work on it!) We at Ai2 released a local LM iPhone app (https://apps.apple.com/app/id67385
Making the U.S. the home for open-source AI
As many of you know, this weekend I appeared on the Lex Fridman Podcast (https://www.youtube.com/watch?v=_1f-o0nqpEI) with my friend Dylan Patel of SemiAnalysis to cover DeepSeek and the implications on the AI ecosystem. I recommend you che
Why reasoning models will generalize
This post is early to accommodate some last minute travel on my end! The new models trained to express extended chain of thought are going to generalize outside of their breakthrough domains of code and math. The “reasoning” process of lang
Interviewing OLMo 2 leads: Open secrets of training language models
We're here to share the story of building our Open Language Models (OLMos) and what we improved to build the OLMo 2 7B/13B model that is competitive with the Llama 3.1 8B model. This is all about building an effective, small language modeli
DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
Full post for links, images, etc: https://www.interconnects.ai/p/deepseek-r1-recipe-for-o1 I have a few shows to share with you this week: * On The Retort (https://retortai.com/episodes/we-ask-again-is-ai-a-science) a week or two ago, we di
Let me use my local LMs on Meta Ray-Bans
Full post for images, etc: https://www.interconnects.ai/p/to-meta-ray-ban-local-ai With the Rabbit r1, the Humane pin, the Friend (https://friend.com/) thing, the Sam Altman rumors, Meta Ray-Bans, and everything in between (https://www.bee.
(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models
Original post: https://www.interconnects.ai/p/deepseek-v3-and-the-actual-cost-of Chapters 00:00 Opening 03:15 DeepSeek’s learning efficiency 06:49 DeepSeek’s compute transparency and reality Figures Fig 1: Benchmark Results (https://substac
The state of post-training in 2025
Slides (https://docs.google.com/presentation/d/1FL6pzRT3tjCfJ985emS_2YfujCe_iz6dsyRcDIUFPqs/edit?usp=sharing) for this post-training talk and slides (https://docs.google.com/presentation/d/1xsJKIN51XasutjKRsmYH4T5381a43mLBMhcAUIVdTKk/edit?u
Quick recap on the state of reasoning
In 2025 we need to disambiguate three intertwined topics: post-training, reasoning, and inference-time compute. Post-training is going to quickly become muddied with the new Reasoning Language Models (RLMs — is that a good name), given that
(Voiceover) 2024 Interconnects year in review
Original post https://www.interconnects.ai/p/2024-interconnects-year-in-review This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit https://www.interconnects.ai/subscribe?utm_
