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1.
A Theory of Deep Learning (news.ycombinator.com)
2.
Transformers Are Inherently Succinct (2025) (news.ycombinator.com)
3.
The past, present and future of de novo protein design (feeds.nature.com)
4.
Improving access to essential medicines via decision-aware machine learning (feeds.nature.com)
5.
At Nvidia, compute already costs more than employees. The rest of corporate America is catching up (techspot.com)
6.
There Will Be a Scientific Theory of Deep Learning (news.ycombinator.com)
7.
A Pascal's Wager for AI Doomers (news.ycombinator.com)
8.
No humans allowed: scientific AI agents get their own social network (feeds.nature.com)
9.
How robots learn: A brief, contemporary history (technologyreview.com)
10.
This simulation startup wants to be the Cursor for physical AI (techcrunch.com)
11.
ML promises to be profoundly weird (news.ycombinator.com)
12.
Multiomics and deep learning dissect regulatory syntax in human development (feeds.nature.com)
13.
Young Professional’s AI Tool Spots Mental Health Conditions (spectrum.ieee.org)
14.
Facial Recognition Is Spreading Everywhere (spectrum.ieee.org)
15.
Elon Musk’s xAI faces child porn lawsuit from minors Grok allegedly undressed (techcrunch.com)
16.
Self-driving tech startup Wayve raises $1.2B from Nvidia, Uber, and three automakers (techcrunch.com)
17.
The Little Learner: A Straight Line to Deep Learning (2023) (news.ycombinator.com)
18.
The Little Learner: A Straight Line to Deep Learning (news.ycombinator.com)
19.
Two GTX 580s in SLI are responsible for the AI we have today — Nvidia's Huang revealed that the invention of deep learning began with two flagship Fermi GPUs in 2012 (tomshardware.com)
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