Daniel @daniel_berns

Just an old programmer. Interested in mountain bike rides, photography, and some research on AI. Comodoro Rivadavia, Argentina Joined January 2011

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Sakana AI @SakanaAILabs

a month ago

What if we could evolve AI models like organisms in nature, letting them compete, mate, and combine their strengths to produce ever-fitter offspring? Excited to share our new work: “Competition and Attraction Improve Model Fusion” presented at GECCO’25🦎 where it was a runner-up…

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Quanta Magazine @QuantaMagazine

3 months ago

A team of mathematicians just built the first “monostable” tetrahedron. Someday, it might help inform the design of a self-righting spacecraft. quantamagazine.org/a-new-pyramid-…

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Google AI Developers @googleaidevs

3 months ago

YouTube tutorial + Gemini CLI

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Gary Marcus @GaryMarcus

3 months ago

BREAKING: Explosive new paper from MIT/Harvard/UChicago. Things just got worse — a lot worse — for LLM’s and the myth that they can understand and reason. The paper documents a pattern they called Potemkins, a kind of reasoning inconsistency (see figure below). They show that…

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Daniel @daniel_berns

3 months ago

Nice article for the weekend

Sergey Levine @svlevine

3 months ago

Nice article for the weekend

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Sergey Levine @svlevine

3 months ago

Self-supervised representation learning looks a bit like RL. What if we literally use RL as a SSL method for visual representations? Turns out that it works quite well. In new work by @its_dibya, we show how this can be done: dibyaghosh.com/annotation_boo…

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Daniel @daniel_berns

4 months ago

About detection of emerging system of values in LLM.

Ethan Mollick @emollick

4 months ago

About detection of emerging system of values in LLM.

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Daniel @daniel_berns

4 months ago

Design principles for agents

Jerry Liu @jerryjliu0

4 months ago

Design principles for agents

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Daniel @daniel_berns

4 months ago

Paper about reasoning with multimodal input.

Xin Eric Wang @xwang_lk

4 months ago

Paper about reasoning with multimodal input.

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Daniel @daniel_berns

5 months ago

Must read book.

TuringPost @TheTuringPost

5 months ago

Must read book.

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elvis @omarsar0

5 months ago

Building Production-Ready AI Agents with Scalable Long-Term Memory Memory is one of the most challenging bits of building production-ready agentic systems. Lots of goodies in this paper. Here is my breakdown:

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Barbara Engelhardt @BeEngelhardt

5 months ago

Our neighborhood nonnegative matrix factorization preprint just dropped! Try it out for matrix decomposition and hard clustering for your spatial transcriptomic data! Blue-hued tweetorial: bsky.app/profile/thebee…

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Philipp Schmid @_philschmid

5 months ago

Gemini 2.5 Pro can do precise file edits using a diff-style format (inspired by Aider). 📝 This works for all documents not just code. Uses SEARCH/REPLACE blocks. Full example in notebook w/ google-genai: github.com/philschmid/gem…

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Patrick Loeber @patloeber

5 months ago

My Gemini workshop materials are now on GitHub⚡️ It's hands-on with notebooks + exercises + solutions. You can follow it on your own and learn to build with all important Gemini capabilities in ~3 hours.

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matt palmer @mattppal

5 months ago

Pydantic quietly dropped the most straightforward framework for building AI Agents. This ~28 liner builds an agent that can fetch URLs with a "fetch" MCP server.