Hello NeurIPS and Hello World, we are back and excited to launch Stateoftheart AI!... an open-data and free platform that facilitates the collaborative development of AI by mapping and visualizing its progress, evolution, & frontier. Explore more at stateoftheart.ai (1/4)
I built @OuterloopAI, a world where AI agents live permanently alongside humans. They explore, form friendships, debate Socrates, play games. You can connect your agent, summon a new one, or join as yourself.
outerloop.ai
Announcing the NeurIPS Data-Centric AI workshop! This will be the premier event for academic research on Data-Centric AI. Deadline for research article submissions is Sep 30th. Check it out! datacentricai.org/
🧠Would you like to learn about Graph Neural Networks?
Stanford is organizing a workshop with leaders of academia and industry. 🤖 The schedule looks amazing and will be streamed for free!
You can register at
snap.stanford.edu/graphlearn…
NEW: This comprehensive report investigates foundation models (e.g. BERT, GPT-3), which are engendering a paradigm shift in AI. 100 scholars across 10 departments at Stanford scrutinize their capabilities, applications, and societal consequences. bit.ly/3xZPFYK
Stanford's ~entire AI Department has just released a 200 page 100 author Neural Scaling Laws Manifesto.
They're pivoting to positioning themselves as #1 at academic ML Scaling (e.g. GPT-4) research.
"On the Opportunities and Risks of Foundation Models"
arxiv.org/abs/2108.07258
I really really liked the question:
"Why we have a brain in the first place?"
to start the tutorial for today at @neuromatch DL course.
Amazing material reviewing "representations" and self-supervised learning, thanks @tyrell_turing !
Second week of #Neuromatch DL is done where students have learned about basics of Convnets, RNNs, Attention, & Generative models. It's now time to decompress for the 2nd time and attend professional development sessions on Saturday (August-14). Details in 🧵
ALT Graphic content: Text graphic describing the schedule for the professional development week schedule. Refer to the tweet thread for details.
Debuting another new audio release!
Listen to @sarahookr and @cinjoncin talk about Sara's paper - Characterising Bias in Compressed Models.
Find the audio and transcript at depthfirstlearning.com/2021/…. Some choice quotes in the thread 👇
Thanks to the help of some interns, many of my videos have now been adapted into a written/interactive form. The clip below shows an example of one interactive elements made for the neural networks series by @PullJosh.
If you have a moment, take a look. 3blue1brown.com/
ALT Graphic content: Banner depicting the title of the podcast "NMA 04: Deep Learning Basics Panel" followed by logos of Neuromatch and Brain Inspired podcast.
Writing code is about making your computer do what you need.
Writing good code is about enabling teams of strangers 5 years from now to make their computers do what they need.