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Threads
Advent of Claude Day 2 - Double Esc to Rewind
Threads
Holy shit… I just found out why OpenAI, Anthropic, and Google engineers never worry about prompts.
Papers
Long-term investments in basic university research are behind many of the innovations we take for gr
Papers
Fukushima's video (1986) shows a CNN that recognises handwritten digits [3], three years before LeCu
Threads
These youtube videos are a banger to understand
Threads
We can just make UI like this https://t.co/abvU2THQMD
Videos
Step-by-Step Diffusion: An Elementary Tutorial https://t.co/1bSl3JvAMD
Articles
The hardest part of building AI agents isn't teaching them to remember.
Papers
OpenAGI exits stealth with Lux, a computer-use foundation model that scores 83.6 on the Online-Mind2
Threads
DeepSeek V3.2 finally corrected the advantage calculation (in red).
Code
Introducing RAPTOR, an Autonomous Offensive/Defensive Research Framework based on Anthropic's Claude
Books
Does @stripepress have the best business book covers or do they? https://t.co/PejhvNomEr
Articles
More in the blog: https://t.co/oCXUaXWfSW
Books
I don't think you can properly or deeply learn from material on a single watch/read, which is why I
Threads
At neurips and interested in continual learning. Please DM me if you’re interested talking.
Code
He hasn’t invested in the Bay Area in 5+ years.
Articles
A really interesting piece here from @deanwball on how @AnthropicAI have made Opus 4.5 so good (in m
Movies
was literally just watching this amazing video on YT and then saw here
Courses
Wondering how DeepSeek v3.2 rivals SOTA models (e.g., GPT5/Gemini 3 pro) while being ~30x cheaper? 🤔
Code
🚀 A brand-new feature is coming to the SAMGeo Python package: interactive remote-sensing image segme
Threads
Introducing Lux, the most powerful and fastest Computer Use model.
Threads
Oh, and roughly 30x cheaper than Gemini 3.0 pro
Code
🎉 DeepCode hits 10.9k stars on GitHub! ⭐ (👉 https://t.co/OM1WbgRJiw) Huge thanks to our amazing open
Books
must-read release post by @pleiasfr team for folks interested in synthetic data + small models. lots
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