This paper has now been accepted @neuripsconf.bsky.social !

Huge congratulations, Hon Tik (Rick) Tse and Siddarth Chandrasekar.

Really cool opening at DeepMind right now for someone to explore "what comes after AGI" (closes Friday Sept 26, 2025):
job-boards.greenhouse.io/deepmind/job...

Staff level link:
sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGl...

Sony AI is hiring game integration engineers!

We do awesome RL applications to modern video games. If that excites you, check out the posting!

We have positions for senior and staff level developers. Senior dev link (staff level link next in 🧵):
sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGl...

The Sony AI Game AI team has reinforcement learning internships opens for 2026!

It is remote for people in the US & Canada, mixed remote/onsite in Europe (onsite in Zurich), and onsite in Tokyo.

If you want to work on RL with cool applications, sign up!

ai.sony/joinus/job-r...

timed coding tests -> stress -> fight or flight -> loss of fine motor control -> ca n'ptt typp

Monday's talk "Two Tales of Reward Design: GT Sophy and Factored Value Functions" is online: youtu.be/PrsKX5ZWt_4

#RL #GranTurismo #GTSophy

Thanks to @marloscmachado.bsky.social for the invite to speak at the University of Alberta today. Hopefully someone remembers my main point: Reward design is really important. :)

"A scientist believes..." isn't noteworthy unless it can be followed by "because science shows..."

I just came across a technical article written by *Dr.* So-and-so. Seeing Dr. made me more impressed and then I remembered "I'm a Dr. too". Inbuilt biases :P I'm definitely going to start using my Dr. title.

Learning to Reason without External Rewards arxiv.org/pdf/2505.19590

LLM finetuning is done ONLY using internal reward (model confidence) with no external grounding reward.
That means the LLM had to already know how to solve the problems.

The quality of the LLM-based documentation can vary significantly depending on prompt, context, etc.). It can do really well, hitting all of the points you listed in the rest of this thread. It can also do pretty terribly. LLM is a tool, to use it well we have to invest the time to learn.

Sometimes I imagine a world where all the friends that I'm trying to coordinate use the same messaging app. One can dream...

I was playing with a couple of emotion detection models today.
Apparently my resting face is one of: disgust, anger, sad and my happy face is contempt :P

Cortical Labs combines human neurons with silicon computing for a cool #cyborg computer!!! And you can buy one, or use their cloud service.

corticallabs.com

Let's go! Really psyched to have Barto and Sutton win the Turing award for Reinforcement Learning! Their work shaped my career in such profound ways.

www.nytimes.com/2025/03/05/t...

doi.org/10.48550/arX...

Really cool approach: agentic LLM generates its own actions as python functions. However, this is NOT doing RL - there is no reward over which the system optimizes. #rl #llm

I'm giving a keynote on building GT Sophy - our reinforcement learning based racing agent for Gran Turismo. Tuesday Nov 26, 2024 8:40 JST (online). Computers and Games Conference. #rl #granturismo #sonyai #gtsophy

That and the fact that most everyone seems to mean something different when they say "AGI".