iiinova — where your digital self keeps evolving

Karl Tuyls @karltuyls.bsky.social · 07/02/2025

Let’s stop the “AGI is just around the corner” narrative. I still believe true intelligence will emerge from the collective, and it may well still take quite some time before we get there. Amazing talk by M. Jordan: youtube.com/live/W0QLq4q...

youtube.com

AI, Science and Society Conference - AI ACTION SUMMIT

YouTube video by IP Paris

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

Let’s move past the hype, build a clear vision for the technology, and partly refocus on real breakthrough research—like what was done in the early days of DeepMind.

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

Autonomous Agents (now AI Agents), multi-agent systems, economics, game theory, mechanism design, and market dynamics could play a key role in shaping its future.

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

That said, this is an incredible technology, and we need to figure out where it can be best applied. I fully agree with Michael Jordan that there’s a serious lack of vision in the field.

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

This is not AGI. It may turn out to be an important building block, but we still need real breakthroughs in architectures that can construct and compress a true world model. Simply throwing more data and compute at the problem isn’t enough—here, too, less can be more.

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

We can query it using natural language, thanks to massive compute and post-training refinements. At its core, it retrieves and generates responses through pattern matching and data generalization—that’s it.

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Karl Tuyls @karltuyls.bsky.social · 07/02/2025

The way I see the current state of research in LLMs and foundation models is that we’ve figured out a way to build an intelligent database — one that compresses human knowledge (largely from the internet) in an autoregressive manner.

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Karl Tuyls @karltuyls.bsky.social · 18/12/2024

The first textbook on multi-agent reinforcement learning is out - a landmark for the field, the first textbook covering game-theoretic foundations with state-of-the-art deep learning! Congrats to its authors Stefano Albrecht , LukasSchaefer and Filippos Christianos More details: www.marl-book.com

marl-book.com

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Textbook published by MIT Press (2024)

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Karl Tuyls @karltuyls.bsky.social · 27/11/2024

Grok knows 🫢 x.com/garykoepnick...

x.com

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Karl Tuyls @karltuyls.bsky.social · 25/11/2024

Fascinating read on streaming RL in deep learning - arxiv.org/pdf/2410.14606

arxiv.org

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Reposted by Karl Tuyls

Curiosity @mcuriosity.bsky.social · 24/11/2024

The Andromeda galaxy captured by the Hubble Space telescope

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Karl Tuyls @karltuyls.bsky.social · 24/11/2024

How do people genuinely feel about this? are we not pushing it too far now? I have never associated the terminology described here with being offensive or exclusionary, but perhaps I'm just unaware, curious for your opinions. www.acm.org/diversity-in...

acm.org

Words matter: Alternatives for charged terminology in the computing profession

ACM’s efforts to combat exclusion in the computing profession, ACM's Diversity and Inclusion Council has launched "Words Matter," an effort to replace offensive or exclusionary terminology in the comp...

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Reposted by Karl Tuyls

Marc Lanctot @sharky6000.bsky.social · 24/11/2024

I'm loving this place. It's a technological miracle to only have seen two small outages in the past 2 weeks.. 🙏🙏🙏😅

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Reposted by Karl Tuyls

Marc Lanctot @sharky6000.bsky.social · 22/11/2024

Ok, last two papers for this week! A final game-theoretic RLHF method and a different take on RLHF altogether inspired by prospect theory. 1. 🧲 Magnetic Preference Optimization (MPO). 2. Kahneman-Tversky Optimization (KTO). 🧵 1/3.

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