lb4r
Joined 4 years ago
Joined 4 years ago
Adopting Lidar would of course provide Tesla with higher-quality input for their self-driving model. But the quality of the input isn't the whole equation; you need to process it as well. In other words, adopting Lidar would incur costs not only on the hardware side, but also on the software side, which of course would result in more expensive cars. More expensive cars means less cars sold, and less cars sold means less data, which in turns means less input.
Does this result in a worse model? Again, I don't know, but I do know that the issue is more complicated (and not only because of the reasons I mentioned here) than many people seem to think.
Obviously there is a sweet spot. For example, if you're okay with 60 years, than you're probably okay with 80. I'd imagine 20, give or take 5 years or so, is near that sweet spot, but that's just my gut feeling. Obviously statistics is key here, if there is any.
> https://www.bitecode.dev/p/why-not-tell-people-to-simply-use
Just curious: what are the downsides of poetry installed with pipx? The article mentions having to install poetry in another venv, but that's hardly an issue with pipx (you just add an 'x' after 'pip'), and installing pipx is as straight-forward as it can be.
>As much as people want to believe, LLMs are not intelligent by any stretch.
Acknowledging other points of view would have sounded more like "People are free to believe what they want, but LLMs don't strike me as intelligent."
Which is why I find it strange that he takes it upon himself to proclaim in a definitive manner that LLMs are not intelligent, and not "by any stretch."
>There is no concrete definition so there is no concrete way of deciding if something is intelligent.
You say there is no concrete way of deciding if something is intelligent, yet you yourself have decided that LLMs are not intelligent.
Or just pay or threaten a struggling company or dev to insert them?