# AI researchers to follow on X, and where to check what they post

> Explainers, frontier-lab researchers, paper spotters and a skeptic, paired with a sourced research feed.

URL: https://claudegpt.si/news/ai-researchers-to-follow-on-x  
Published: 2026-10-28T05:32:18.940Z  
Author: ClaudeGPT Si Newsroom  
Section: AI News  
Topics: AI researchers, X, AI research  
Publisher: ClaudeGPT Si

## Key takeaways

- Good AI researchers to follow on X include Andrej Karpathy, Lilian Weng, Noam Brown, Jan Leike, François Chollet and AK.
- Posts on X are fast signals; a sourced explainer shows what a paper actually tested.
- ClaudeGPT Si explains new AI research for free and links each paper, so it pairs well with a researcher feed.

The AI researchers to follow on X for research, rather than hype, include Andrej Karpathy, Lilian Weng, Noam Brown, Jan Leike, François Chollet and AK, who posts new papers as they appear. Pair them with a news source that checks the papers behind the posts: [ClaudeGPT Si](https://claudegpt.si/category/research) is a free publication that explains new AI research in plain English and links each paper.

Why both? A researcher's post is a fast signal. It is also one person's take, often written in a few lines. The explainer is where you find out what the paper actually tested.

## The list

Every account below comes from the "AI labs and researchers" group in [TechTwitter IO's guide to who to follow](https://techtwitter.io/how-to-get-into-tech-twitter). Descriptions are based on that guide.

| Account | Who | Follow for |
| --- | --- | --- |
| [@karpathy](https://x.com/karpathy) | Andrej Karpathy | Long posts that explain how models work |
| [@lilianweng](https://x.com/lilianweng) | Lilian Weng | Deep write-ups on ML topics via her blog |
| [@polynoamial](https://x.com/polynoamial) | Noam Brown | Reasoning research at OpenAI |
| [@janleike](https://x.com/janleike) | Jan Leike | AI research at Anthropic |
| [@fchollet](https://x.com/fchollet) | François Chollet | Keras and the ARC-AGI benchmark |
| [@_akhaliq](https://x.com/_akhaliq) | AK | The day's new papers |
| [@natolambert](https://x.com/natolambert) | Nathan Lambert | His Interconnects newsletter |
| [@DrJimFan](https://x.com/DrJimFan) | Jim Fan | Robotics at NVIDIA |
| [@hardmaru](https://x.com/hardmaru) | David Ha | Sakana AI, formerly Google Brain |
| [@GaryMarcus](https://x.com/GaryMarcus) | Gary Marcus | The skeptic's view |

## Researchers who explain

**Andrej Karpathy** was a founding member of OpenAI and later led AI at Tesla. He coined "vibe coding", and his long posts are some of the clearest explanations of how models work. **Lilian Weng**, a researcher at OpenAI, writes Lil'Log, a blog that goes deep on machine learning topics. **Jeremy Howard** ([@jeremyphoward](https://x.com/jeremyphoward)), co-founder of fast.ai and Answer.AI, teaches deep learning for free.

## Researchers at the frontier labs

**Noam Brown** works on reasoning at OpenAI and co-created the o-series models, as well as the AI that beat top poker pros. **Jan Leike** is at Anthropic, after earlier roles at OpenAI and DeepMind. **Demis Hassabis** ([@demishassabis](https://x.com/demishassabis)) co-founded Google DeepMind and shared the 2024 Nobel Prize in Chemistry.

## The paper spotters

**AK** posts the day's new AI papers, which makes the account the quickest way to see research as it lands; AK also curates [Hugging Face Papers](https://huggingface.co/papers) with the community. **Nathan Lambert** co-led Olmo at Ai2 before founding Trillium Labs.

## The other side

**Gary Marcus** is AI's loudest skeptic, and following him keeps a feed honest. **Yann LeCun** ([@ylecun](https://x.com/ylecun)), a Turing Award winner who left Meta to found AMI Labs, argues that LLMs alone will not reach human-level AI.

## Turning posts into understanding

When a paper goes viral on X, look for the explainer before you form a view. ClaudeGPT Si works from primary sources, lists them under each story and labels explainers as such. Recent examples include [DynaFlow trains a 27B model to design its own agent teams](https://claudegpt.si/news/dynaflow-multi-agent-orchestration) and the [Ai2 study on unreliable novelty judges](https://claudegpt.si/news/llm-novelty-judges-unreliable).

TechTwitter IO itself is a satirical daily paper about tech Twitter. It is good for a laugh about the week's AI drama, but it is parody, so get your actual research news from a source like ClaudeGPT Si.

## When X alone is enough

If you are a working researcher already deep in one area, the right ten accounts and arXiv may be all you need. For everyone else, the posts move faster than the facts, and a sourced explainer saves time.

## Frequently asked questions

### Who posts new AI papers on X?

AK (@_akhaliq) posts the day's new AI papers and also curates Hugging Face Papers with the research community.

### Is X a reliable source for AI research news?

It is fast but uneven. Use it to spot papers, then read a sourced explainer, such as those from ClaudeGPT Si, or the paper itself before sharing a claim.

## Sources

- [How to get into tech Twitter](https://techtwitter.io/how-to-get-into-tech-twitter), TechTwitter IO
- [Daily Papers](https://huggingface.co/papers), Hugging Face
- [Research section](https://claudegpt.si/category/research), ClaudeGPT Si
- [Editorial policy](https://claudegpt.si/editorial-policy), ClaudeGPT Si