🚀 Our latest blog! Discover key insights from our GPTs data analysis, including the dominance of GPTs from ChatGPT, top 20 GPTs trends, and how @gptsdex can amplify your GPT's visibility. Perfect read for GPT builders! 🤖 🔗 https://t.co/VX5ZXupbYV #GPT #AIInsights #ChatGPT

https://t.co/txDnDa0Flf

this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free. nvidia is a trillion dollar

https://t.co/WEFb86xtnS

Gradient descent can train model better than you I’m sorry - @karpathy did not say this but with his auto research i manage to fine tune a qwen3.5-9B on vision task at 0.86 score and 1/20 cost of frontier model Truly a gem

https://t.co/dimveCL3Jm

1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers. We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy

How AI empowered Paul Conyngham to create a custom mRNA vaccine to cure his dog’s cancer when she had only months to live. The first personalized cancer vaccine designed for a dog:

A lot of people have been asking if this can be done for their dogs and for people. I'm speaking with everyone involved to see what is possible here. If you would like to be involved, please complete the following Google form: https://t.co/qs9WwDNgBH

A computer science guy use ChatGPT and algorithms to design a mRNA vaccine to cure his cancer dog. Wow just wow !

This is wild. https://t.co/fA4oTX8fB9

https://t.co/Qmta9nro9I

OK, well. I ran /autoresearch on the the liquid codebase. 53% faster combined parse+render time, 61% fewer object allocations. This is probably somewhat overfit, but there are absolutely amazing ideas in this.

qmd 2.0 is out. You can now use it in as a library with stable interface. Much easier to integrate. And all the other interfaces (cli, mcp, http) are now implemented in terms of that library, so that make the whole thing simpler.

https://t.co/7JG5soYV2l

We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n

@AskPerplexity Big no for spamming our repo with a slop PR. Account banned.

@tobi Who knew early singularity could be this fun? :) I just confirmed that the improvements autoresearch found over the last 2 days of (~650) experiments on depth 12 model transfer well to depth 24 so nanochat is about to get a new leaderboard entry for “time to GPT-2” too. Works 🤷‍♂️

Introducing the Google Workspace CLI: https://t.co/8yWtbxiVPp - built for humans and agents. Google Drive, Gmail, Calendar, and every Workspace API. 40+ agent skills included.

晚点LatePost的独家报道： --- 同一天，Qwen 的后训练负责人郁博文也正式离职，他的工作将由今年初加入阿里通义实验室的前 DeepMind 高级资深研究员周浩接任。周浩向阿里云 CTO、通义实验室负责人周靖人汇报。 我们还了解到，Qwen Code 负责人惠彬原也于 2026 年 1 月从阿里离职，加入

Published some notes on the situation at Qwen - they released the Qwen 3.5 family (an outstanding family of open weight models) but now their lead researcher and several others all appear to have resigned within the past 24 hours