And I do believe Atlas is a significant step forward because now with every single frame, you have a you can generate an estimate a important piece of information, which is the the view viewpoint, the camera pose. And that is the most critical information one needs about the geometry of the of the space.
I'm suggesting you should understand the really old stuff, the history, because it's differentiating and shows a passion and it gives you a great frame of mind, but you also want to really understand the new edge. If you do both of those things, like you're I think you're a power player in your field, you know.
Then all of a sudden, you've unlocked 20% of the US grid for data centers because most of the times that capacity is sitting idle and it's really only there for that peak, right? Which is a day or two, right?
the shareholder value movement is totally incoherent because over what time frame which shareholder is what are you optimizing for? It's a completely incoherent nonsense which is very very friendly to stock market analysts who want a ready supply of quarterly data
Well, what we realized really early is that quantity of employees doesn't translate the quality of the product they produce. In many cases, it's the opposite. If you have too many people, they have to coordinate their efforts, constantly communicate, and 90% of their time will be spent on coordinating the small pieces of work they're responsible for between each other.
I believe this is the right answer. We're often being manipulated by politicians, by corporate leaders to make a choice from two suboptimal options. And then when we are forced to make this choice and we make this choice, it's almost as if it's something that we have to assume responsibility for. I don't think we should be buying into that.
This is getting easier in the lastest versions of Fedora and Ubuntu (e.g., Ubuntu 24.04 LTS) which are shipping system libraries with frame pointers by default.
We should think of the gap between frontier models and proliferated models as an adaptation buffer: a limited time window when we know what bad actors will soon be able to use AI for, which gives us a chance to implement defensive measures that increase society’s resilience to the danger.
They frame the situation as a choice between continued human drivers killing people (without statistical context) vs. immature robotaxis who don't drink and drive (but make other mistakes).
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