MikeTheRocker

I have also really been enjoying these lectures. Sarah is quick witted and insightful. I recommend the Dwarkesh podcast to anyone interested in AI in general (though Sarah Paine lectures are completely unrelated).

I already feel like text models are already at sufficiently entertaining and useful quality as you define it. It's definitely possible we never get there for video or 3D modalities, but I think there are strong enough economic incentives such that big tech will dump tens of billions of dollars into achieving it.

IMO current generation models are capable of creating significantly better than "slop" quality content. You need only look at NotebookLM output. As models continue to improve, this will only get better. Look at the rate of improvement of video generation models in the last 12-24 months. It's obvious to me we're rapidly approaching acceptable or even excellent quality on-demand generated content.

Generative AI is going to drive the marginal cost of building 3D interactive content to zero. Unironically this will unlock the metaverse, cringe as that may sound. I'm more bullish than ever on AR/VR.

No, the 7950X is a CPU. CUDA is an API for computing on GPUs.

Not your compute, not your girlfriend, as they say.

With >150,000 employees, I think they can probably do both

I'm hoping they're building a commodity AR/VR operating system -- essentially spatial Android. They've already announced a partnership with Samsung and Qualcomm so I've got to imagine some interesting hardware is coming soon.

In contrast, buying my Tesla new was about as easy as any Amazon order. I don't know why other car manufacturers don't make D2C a bigger focus for their business.

I suspect for people like Sam who are compulsively ambitious and competitive, it's not about the dollars. It's about winning.

Further, based on anecdotes from friends and Twitter who know Sam personally, I'm inclined to believe he's genuinely motivated by building something that "alters the timeline", so to speak.

This made me laugh out loud

Curious what your sample size is on evaluating IC8s. In my experience the small handful I’ve known have been very pleasant people.

Just curious, with so much runway do you still work? What motivates you?