Important question: how many engineers does it take to teach a robot how to screw in a light bulb?

I’m a mechanical design engineer (10 years) turned software engineer (7 years in autonomous vehicles). Is there a particular role you would recommend for someone with my experience?

How are you engaging with the fundamental problems explained in this blog post https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex...

- the relatively crude tactile and proprioceptive sensing apparatuses of robots when compared to humans

- the limited availability of multisensory, perception-action coupled training data

Genuinely curious!

How do I reliably apply? And is there a remote role?

So glad to see that you are still involved and have your inspiring enthusiasm! Meeting you was a huge inflection point in my journey with ML/AI.

Would you mind expanding on the difference between frontier model development and open model development? I was under the impression that they were nearly the same thing and would thus be handled by the same team. My impression is that open models tend to go through more safety testing and are generally smaller, but are otherwise the same thing. Shouldn't most of what is commonly referred to as 'AI research' be applicable to both?

Congrats! Awesome release! (can i have access)

Hey Ravin, I’m executive director for AGI Society which has run the AGI conference (https://agi-conference.org/) since 2007

We’d love to invite you to speak about your work next year at the AGI Conference if you’re open to it.

Alexander Lerchner spoke this year and was great.

I’ll reach out on email if you have a preferred one, it was unclear on your site which email you prefer.

Good stuff, yay, good.

I do want to pick a nit in this one,

> and the only lab where

I do think Allen Institution for AI (AI2) is has coverage across most of these domains ( albeit their frontier isn't nearly so far out, hopefully the $152m NSF awarded them + Nvidia is a fruitful partnership there).

For example, robotics: MolmoBot, MolmoSpaces, MolmoAct, https://allenai.org/embodied-ai

Is DeepMind basically Google innovation hub ???

What happens when those ideas need to be scaled into real products, though? For instance, I can't really imagine Google being fully committed to manufacturing and selling robotic arms at scale.

What are you doing to prevent abuses by governments, corporations and militaries? (non snarky question)

How much of this technology is going to benefit and uplift the Common Peasant and how is going to be used for increasing surveillance and control?

Working there feels like a trap.

Why work there when you can start a company? You get to choose the problem you care about most, the people you work with, and your own pace—and if it works, you own the success.

Why accept all the rules Google will force on you, are those rules optimized for you or for them?