Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
Code World Models for General Game-Playing. ♟️🎲 ♣️♥️♠️♦️
I am pleased to announce our new paper, which provides an extremely sample-efficient way to create an agent that can perform well in multi-agent, partially-observed, symbolic environments!
🧵 1/N
blog.google/products/gem...
Gemini 3 performs quite well on a wide range of benchmarks.
blog.google/products/gem...
Gemini 3 performs quite well on a wide range of benchmarks.
Combined with its advanced understanding of the real world, Gemini 3 Pro is our most intelligent model for building complex apps.
goo.gle/43ADuV6
Combined with its advanced understanding of the real world, Gemini 3 Pro is our most intelligent model for building complex apps.
goo.gle/43ADuV6
Google's new state-of-the-art LLM topped 14 of the 16 leaderboards we analyzed, showing significant improvements in factuality.
More details in the thread 🧵
Google's new state-of-the-art LLM topped 14 of the 16 leaderboards we analyzed, showing significant improvements in factuality.
More details in the thread 🧵
scholar.google.com/scholar_labs...
scholar.google.com/scholar_labs...
I was confused by this recent move to invest big a few days ago given the article quoted below by Globe & Mail (Oct 7th, '25). 👇
It felt it was inconsistent with the portrayal of Buffet's opinion in October.
1/2
www.cnbc.com/2025/11/14/w...
I was confused by this recent move to invest big a few days ago given the article quoted below by Globe & Mail (Oct 7th, '25). 👇
It felt it was inconsistent with the portrayal of Buffet's opinion in October.
1/2
www.cnbc.com/2025/11/14/w...
Now we will need them for conferences. 😧
Hopefully we design strict ones. This is not ok. We should not tolerate any amount of it.
Now we will need them for conferences. 😧
Hopefully we design strict ones. This is not ok. We should not tolerate any amount of it.
deepmind.google/sima
deepmind.google/sima
🎯 Train Gemma models to show reasoning using Tunix
💰 $100,000 Prize Pool
⏰ Final Submission: Jan 12, 2026
kaggle.com/competitions/google-tunix-hackathon
🎯 Train Gemma models to show reasoning using Tunix
💰 $100,000 Prize Pool
⏰ Final Submission: Jan 12, 2026
kaggle.com/competitions/google-tunix-hackathon
Until December 7th, you can send us your suggestions, and we will use them to shape the program.
icml.cc/Conferences/...
Until December 7th, you can send us your suggestions, and we will use them to shape the program.
icml.cc/Conferences/...
(...maybe yourself?)
If so, then nominate them to be an Area Chair! Nomination closes November 17, 2025, so don't delay!🚀🚀🚀
Nomination form: docs.google.com/forms/d/e/1F...
(...maybe yourself?)
If so, then nominate them to be an Area Chair! Nomination closes November 17, 2025, so don't delay!🚀🚀🚀
Nomination form: docs.google.com/forms/d/e/1F...
ICML is taking steps against that! Nominate yourself or other qualified researchers in the field to be an Area Chair!
(...maybe yourself?)
If so, then nominate them to be an Area Chair! Nomination closes November 17, 2025, so don't delay!🚀🚀🚀
Nomination form: docs.google.com/forms/d/e/1F...
Gotta share this awesome remix released just yesterday by two of my all time fave famous EDM artists. 🙏🎶
youtu.be/GuGL4uCMJ9Y?...
Gotta share this awesome remix released just yesterday by two of my all time fave famous EDM artists. 🙏🎶
youtu.be/GuGL4uCMJ9Y?...
We look at problems that could be solved if the model behaved consistently over a set of prompts, and tried training that in output space and internal activations. Both were effective. See thread or paper for details.
We look at problems that could be solved if the model behaved consistently over a set of prompts, and tried training that in output space and internal activations. Both were effective. See thread or paper for details.
#neuroskyence
www.thetransmitter.org/machine-lear...
#neuroskyence
www.thetransmitter.org/machine-lear...
pub.sakana.ai/pdnca
We investigate how multi-agent NCAs can develop into artificial life 🦠 exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation.
pub.sakana.ai/pdnca/
In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
pub.sakana.ai/pdnca
We investigate how multi-agent NCAs can develop into artificial life 🦠 exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation.