Gaming, Goats & General Intelligence with Frederic Besse

Рет қаралды 19,129

Күн бұрын

Пікірлер: 35

@Free_Ya_Mind Ай бұрын

The enthusiasm of the interviewer and her ability to ask meaningful questions make the whole interview very informative and enjoyable !

@MsRseagreen Ай бұрын

Interesting, Great podcast, I’ve enjoyed every episode. The production and sound is especially good 👏👏👏

@En1Gm4A Ай бұрын

Great interview. Clear display of knowledge. Thx

@En1Gm4A Ай бұрын

I think about agents planning in terms of paths (or let's call them chains or loops) in abstraction space. Abstraction space is a graph of concepts. I think this is the most useful way for them to learn. Identify abstractions and than use them. Think about that and apply it to your research pls. This makes the users interacting with them capable of understanding their planning and knowing what they would do. It's essential for trustworthy AI Agents

@ahtoshkaa Ай бұрын

Outstanding interview. Great interviewer. Very professional

@Ben_D. Ай бұрын

Glad to see Hanna getting stuck in with AI these days. Two of my favorite things.

@avijit81 Ай бұрын

This podcast felt somewhat detached from how Reinforcement Learning and Large Language Model research is merging. It still talks about the world of RL in games

@Malouco 19 күн бұрын

40:32 Look up clone robotics they have intricate hands with hydrolics that can manipulate small objects and are 10x stronger than other hydrolic hands.

@thundertfive Ай бұрын

Great video with great people

@MonjeMonoIA Ай бұрын

this is some great content right here

@idaeom Ай бұрын

I cant help but think about the perfect slave conditions. No reward, they are just ready to work at all times. Limitation Learning 22:38

@newlin83 Ай бұрын

The most important objectives in life are highly subjective: politics, religion, fashion, architecture, etc. How does AI deal with aesthetic experience, emotions, thoughts?

@ZanDatsu Ай бұрын

In just a few years we will be talking to NPCs in games which are smarter than any human we've ever met in real life.

@Youtubeaccount_818 Ай бұрын

Bring back the 60fps

@WillyB-s8k Ай бұрын

somebody once said, i forget who, that no one they had ever talked to had put forward a possible utopia where robots have taken over all the labor, but i have one: just food distribution and multiple a.r.g.s whereby 10,000+ can all play star trek and many other universes in real time on play sets built for them by an asi system that knows everything what everyone is doing on all of earth that can make us all believe that we have transcended into superhumans through mastery of the total environs. just thought this would be a good place to put that. ✌️

@imthinkingthoughts Ай бұрын

Awesome stuff. Unfortunately the hypothalamus is trigger for most individuals when thinking about AI and the future, understandably but not ideal. Great to see you're out here spreading hope and optimism!

@luiztomikawa Ай бұрын

Im just curious... I've been using NotebookLM a lot lately, is the host of this podcast the Voice of the Female host in there? I noticed some familiarity in the voice... But i don't know if I'm tripping 😅

@torbenhr450 Ай бұрын

the notebookml host has a thick american accent. they do not sound very similar, imo.

@ahtoshkaa Ай бұрын

@@torbenhr450 yeah the voices are very different

@siddhanthbhattacharyya4206 Ай бұрын

I wanna be at places like deepmind oneday

@arjunsinghyadav4273 Ай бұрын

why, why why I ask, I am not questioning if we can achieve it but are we so bored and have no other problem left to solve

@goldnutter412 Ай бұрын

Makes sense

@deeplearningpartnership Ай бұрын

What about double agents? Be careful out there.

@ssonationsports7064 Ай бұрын

You thought runescape had a botting problem before wait until the ais take over loool

@Mr.manikolMr.manikol 3 күн бұрын

Salman Nagar

@cfjlkfsjf Ай бұрын

Have a bunch of shroud agents owning noobs at the games.

@JohnTownshend Ай бұрын

Maybe I didn’t understand the guy completely, but he didn’t get across how this SIMA could scale to larger and more varied environments. So much so that it seems somewhat ineffective, inconsequential, incapable, and irrelevant. Perhaps it will lead to a new paradigm of AI development, but from what was discussed here, it seems it could be a dead end.

@PaddyLamont Ай бұрын

I believe it would require the collection of a lot of data of humans just ... doing stuff. Then, like LLMs, these models could learn to mimic humans doing stuff and do stuff for themselves. It does seem a bit underwhelming at the moment, but I wonder if it will get to a point where the agents are good enough that they can explore games and explain what they are doing. Then, that autonomously-generated exploration data could be used as better training data, similar to what people expect OpenAI have done with o1 and training their next larger LLM. You would just need human data to learn the language to use, and to bootstrap its development.