Abhilash Babu J

Computer Vision | Machine Learning Enthusiast

[Abhilash Babu J @abhilb]

@rakyll Sorry to hear that. Wishing you strength through treatment. 🙏

[Mihail Eric @mihail_eric]

I’m excited to finally announce the newest edition my Stanford course 𝗧𝗵𝗲 𝗠𝗼𝗱𝗲𝗿𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿. It has been 9 months in the making.

Last November, with the release of Claude Opus 4.5, coding agents experienced a step function improvement in capability. We all felt it. The LLMs were more powerful, could reason for longer, solve harder tasks.

This year’s iteration of my course reflects the 2026 metamorphosis of software engineering.

My core belief is simple: AI-native developers of the LLM era are going to become the most important members of any software organization. I have designed my course to train this next generation of engineers.

𝗪𝗵𝗮𝘁’𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘁𝗵𝗶𝘀 𝘁𝗶𝗺𝗲 𝗮𝗿𝗼𝘂𝗻𝗱

First, 85% of my Fall 2025 class material is being thrown out. The Fall 2026 syllabus reflects the core capabilities AI-native engineers must have: agent skills, advanced context engineering, MCP portals, agent-ready codebase principles, agentic code review, security, parallelizing background agents, software factories, and more.

Second, I am going to teach my students how to have software taste. Every student will be required to ship pull requests to production-grade, real-world codebases. The course is collaborating with the top open-source AI repos who will offer support and mentorship to students on how to meaningfully contribute to their projects.

This has never been done before in any university course so I am incredibly grateful to our OSS Partners: @browserbase, @HeyGen, @CopilotKit, @semgrep, @OpenHandsDev, @milvusio, @marimo_io, Pi, @crewAIInc, @warpdotdev, @vercel, @cmux, @arizeai, @UnslothAI, and @anyscalecompute.

𝗪𝗵𝗮𝘁’𝘀 𝘀𝘁𝗮𝘆𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲

I’m fortunate to again have AI software engineering leaders and founders as guest speakers to share their learnings from building top coding agent products. Thank you to @leerob from @cursor_ai, @bcherny of @claudeai code, @EnoReyes of @FactoryAI, @silasalberti of @cognition, @0xine of @semgrep, Rajesh Bhatia of @Cloudflare , @amasad of @Replit, and @eladgil.

All resources will be available online. All classes will be available to the public.

9/22 on Stanford campus. See you in class. 

https://t.co/wTokHyUMsz

[Fei-Fei Li @drfeifei]

I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal world model trained from scratch! 🚀

Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as few as one single input image, simulating space-time by reframing videos, natively outputting 3D spaces from one or more input images, composing multiple posed images into a consistent 3d world, and more! This is the best camera conditioned world model ever, opening doors to many possible use cases from VFX to robotics. I'm so so so proud of our team!♥️

[Simon Martinelli @simas_ch]

I can finally hold my book in my hands.

[Ujaval Gandhi @spatialthoughts]

Launching a 30-day #PythonRemoteSensingChallenge to help you learn Cloud-Native Remote Sensing in a structured way. Spend 30-40 minutes every day watching a video and work on a coding exercise. Open to all and completely free. Get started at ➡️ https://t.co/NJsaCqzNoi

[Nathan Lambert @natolambert]

My summer project is done! A 20 video, free course on post-training to accompany my book is all on YouTube with slides open for modification & re-use.

~12 hours of content covers the core foundations and some research areas I think will grow in importance. It was a fun time to review all the fundamentals again, as it is clear in the next 1-3 people the amount of people wanting to learn post training will likely 100X again from today, as we have already 100X'ed from two years ago.

As AI agents get increasingly capable at coding and discussing these fundamentals (see the code exercises accompanying the book that I am refining with the community) I think developing clear intuitions for how models work and why is one of the most important skills going forward in AI. Still, learning the post-training math is the best way to battle test them. I personally just in this course am starting to master how forward/reverse KL relates to post-training topics.

Thanks to all my viewers, and I'm happy to answer questions in the book discord or understand how to better teach the various reward models, on-policy distillation, new RL algorithms, etc.

Plus, the book is 50% off right now with the code PBLambert on Manning to celebrate the launch.

I'll share the relevant links below.
Who's going to make this course for pretraining?

[Abhilash Babu J @abhilb]

🇦🇷🇦🇷🇦🇷🇦🇷🇦🇷

[Kosta Derpanis @CSProfKGD]

Introducing my new #DeepLearning course page 🤗

The page is now live and evolving over the coming weeks. Check it out:
https://t.co/9fVl4p6zrK

Feedback is welcome!

[aditya @adxtyahq]

for anyone asking where to learn this stuff:

• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv

and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.

[Peter Holderrieth @peholderrieth]

🚀MIT Flow Matching and Diffusion Lecture 2026 Released (https://t.co/bKgs2wghvY)!

We just released our new MIT 2026 course on flow matching and diffusion models! We teach the full stack of modern AI image, video, protein generators - theory and practice. We include:
📺 Videos: Step-by-step derivations.
📝 Notes: Mathematically self-contained lecture notes
💻 Coding: Hands-on exercises for every component

We fully improved last years’ iteration and added new topics: latent spaces, diffusion transformers, building language models with discrete diffusion models.

Everything is available here: https://t.co/bKgs2wghvY

A huge thanks to Tommi Jaakkola for his support in making this class possible and Ashay Athalye (MIT SOUL) for the incredible production! Was fun to do this with @RShprints!

#MachineLearning #GenerativeAI #MIT #DiffusionModels #AI

[Guido van Rossum @gvanrossum]

TypeChat for Python finally has some docs. https://t.co/ezzhffdp1q

[Guido van Rossum @gvanrossum]

I've just released a new version of typeagent, a Python library I've been working on since mid last year --more and more using Claude-- that implements memory for agents.

Not originally my idea, I mostly ported the TypeScript version by Steve Lucco and Umesh Madan. This release was improved a lot by Bernhard Merkle.

To install, use "pip install typeagent". Changelog: https://t.co/5tuMTxthTd

[Abhilash Babu J @abhilb]

Heart breaking climax.
:( #NightManager season 2

[Abhilash Babu J @abhilb]

@goodreads The Secret of Secrets

[Abhilash Babu J @abhilb]

@DSPyOSS @DSPyOSS this is for image generation task, isn't it? I had an image classification task in mind.

[Abhilash Babu J @abhilb]

How to use @DSPyOSS for complex VLM tasks? Is DSPy a good choice? #DSPy #VLM

[Abhilash Babu J @abhilb]

@predict_addict I would like to be a reviewer / beta tester. Looking forward to it.

[Abhilash Babu J @abhilb]

How to start `Jupyter Lab` with a different port number other than 8888 in uv? @astral_sh
#uv #jupyter

[Zach Mueller @TheZachMueller]

The day has finally arrived, @huggingface Accelerate 1.0 is now out!

There are tons of new goodies to explore and plenty more to come. I'll quickly talk about my favorites 🧵

For a refresher, give our announcement blog a read: https://t.co/wM2Rec9Tyo

[Nathan Lambert @natolambert]

The latest @3blue1brown video on the attention mechanism is a classic story of how just repackaging known information in a new way (often unique to you) can be a huge value add. Great video.

(this is also why sapiens was so successful)
https://t.co/0IrtElcjwx