codergoose @codergoose

Joined August 2023

Tweets

12
Followers

11
Following

745
Likes

63

Ahmad Beirami @abeirami

2 weeks ago

What are the top 1-3 papers/projects/blogposts/tweets/apps/etc that you have seen on Agentic AI (design/generation of workflows, evals, optimization) in the past year, and why? (Please feel free to recommend your own work)

6 2 56 9K 85

Ahmad @TheAhmadOsman

2 weeks ago

> be Chinese lab > post model called Qwen3-235B-A22B-Coder-Fast > trained on 100 trillion tokens of synthetic RLHF > open-weights, inference engine, 85-page tech report with detailed ablations > tweet gets 6 likes > Western AI crowd still debating if Gemini plagiarized a…

62 214 2K 149K 1K

Download Image

Shai Shalev-Shwartz @shai_s_shwartz

2 months ago

Are frontier AI models really capable of “PhD-level” reasoning? To answer this question, we introduce FormulaOne, a new reasoning benchmark of expert-level Dynamic Programming problems. We have curated a benchmark consisting of three tiers, in increasing complexity, which we call…

103 410 4K 695K 2K

Download Image

codergoose @codergoose

2 months ago

“But one thing I do know for sure - there's no AGI without touching, feeling, and being embodied in the messy world.”

Jim Fan @DrJimFan

3 months ago

“But one thing I do know for sure - there's no AGI without touching, feeling, and being embodied in the messy world.”

179 326 4K 964K 1K

Download Image

0 0 0 17 0

Sundar Pichai @sundarpichai

5 months ago

What a finish! Gemini 2.5 Pro just completed Pokémon Blue! Special thanks to @TheCodeOfJoel for creating and running the livestream, and to everyone who cheered Gem on along the way.

217 870 6K 1.4M 765

Download Video

codergoose @codergoose

6 months ago

Counterpoint to Maverick hype.

BURKOV @burkov

6 months ago

Counterpoint to Maverick hype.

16 13 181 14K 39

0 0 1 31 0

codergoose @codergoose

6 months ago

“and even remembering your day in video” wow!

Aston Zhang @astonzhangAZ

6 months ago

“and even remembering your day in video” wow!

78 136 1K 211K 366

Download Image

0 0 1 53 0

Dante @CamutoDante

6 months ago

Apple and Meta have published a monstruously elegant compression method that encodes model weights using pseudo-random seeds. The trick is to approximate model weights as the linear combination of a randomly generated matrix with fixed seed, and a smaller vector t.