Reza Rezvan

I like to think about agents.

PhD student within multi-agent planning @chalmersuniv | Previously {@CityUHongKong, @ericsson, @Huawei}

[Reza Rezvan @__rezarezvan__]

I will get a PhD one day. No matter what or what anyone says to me, I will get that PhD.

[Reza Rezvan @__rezarezvan__]

@yacineMTB gpt sol can save us 😭

[Reza Rezvan @__rezarezvan__]

@yacineMTB it's over. welcome 🫡.

[Eric Topol @EricTopol]

On our 250th birthday, celebrating the contribution of immigrants and international collaboration
—46% of people with doctoral-level degrees working in US science and engineering fields are foreign-born
—41% of the science and engineering research published by US authors in 2024 included international collaborators
—20% of physicians working the the USA were born and educated abroad
@ACarnegieFdn and @TheLancet
https://t.co/0e8pYHjvR5

[Ravid Shwartz Ziv @ziv_ravid]

1/ On Training in Imagination -
Dwarkesh's episode has a segment on dreaming as one of the next training paradigms. The idea is that a model learns mostly inside its own, by imagining what would happen, instead of trying out for real.

We have a recent paper on exactly this 🥳🥳🥳

[Anthropic @AnthropicAI]

Claude Fable 5 will be available again globally tomorrow.

After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests.

We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort.

Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research.

Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again.

Read our full blog: https://t.co/VHyum831ri

[Jack Morris @jxmnop]

BREAKING: ArXiv changes toolbar color from #AE2A24 to #1C1A17

RIP "ArXiv Crimson Red" (1991 – 2026) 🟥 🔴 ❤️

[Aleph @alephneuro]

We recently obtained the highest-resolution 3D images of the human brain ever taken from outside the skull. This is the first look.

Introducing Aleph, a research lab building brain interfaces for the telepathic future. (1/n)

[Lilian Weng @lilianweng]

A super long overdue (3+ years?) post on scaling laws.

Compute is expensive. Scaling laws are a way to help us reason about the optimal compute allocation between data and model size before committing to a large run.

The post covers what scaling laws predict, how compute-optimal allocation works, why Kaplan et al. and Chinchilla disagree, and how data limits + fitting details make extrapolation tricky.

https://t.co/HP26eJvjHB

[Jack Morris @jxmnop]

finally sharing what i've been up to! left phd end of 2025 and co-founded Engram.

there are a few startups in SF right making very different bets on the right way to train AI models. this is ours:

people want models that learn over time, remember details, adapt and interact like a person would

everyone gets a model. your model updates ~every minute. this is the world we're building. :)

[Taelin @VictorTaelin]

I have another massive blind spot on the right eye since a week or so ago. I'm just ignoring it at this point, I don't really hope for a cure anymore, but I still wish I could ask Fable about it. yet, even personal med questions are being blocked. why? that is very fucked up

[Joseph Suarez 🐡 @jsuarez]

This sadly isn't going to work. The best response is for all AI researchers to stop using Anthropic models. The lack of public feedback alone would cause them to fall behind within months.

[Spencer Baggins @bigaiguy]

A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.

He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.

His name is Fabrice Bellard.

Here is the story, because almost nobody outside the systems programming world knows what one man has built.

Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.

In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.

Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.

He was not done.

In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.

He kept going.

In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.

In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.

Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.

Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org

He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.

A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.

He is still shipping.

[Sriram Krishnan @sriramk]

just to state the obvious: think there's a collison course between those who believe research and science should be open and those who believe we are in an accelerating singularity curve.

I have many smart friends who have believed both for a while but seeing more and more their realization that these beliefs will be in conflict.

I for one believe that America and the west needs open and distributed access to research and computation and sharing of ideas at all times.

[Reza Rezvan @__rezarezvan__]

@yacineMTB what, too long, post this with subway surfers please.

[Wenhu Chen @WenhuChen]

You can outsource your thinking but you can't outsource your understanding.

[Sayak Paul @RisingSayak]

Post-training in diffusion models is a very under-appreciated topic.

So, we're delighted to try to change that at ECCV'26. Announcing a dedicated tutorial for it w/ best pack 🔥

We'll cover several tracks & check out the link below to know more!

@linoy_tsaban @hila_chefer

[Reza Rezvan @__rezarezvan__]

https://t.co/WVqMcSeq6p

Not sure how I haven't seen this before!

[Reza Rezvan @__rezarezvan__]

@ludwigABAP Thinking will be great again

[tommy @tommytrinh]

you would not be able to fathom how hard some people are working to win some of the games you're loosely playing