Satam

I disliked them a bit, but then they stopped flying to a certain destination. I quickly realized that the other airlines were 3x more expensive. I realized I actually cared about price much more than any possible extra leg room or other perks, and that their super cheap flights are quality by itself.

Because LLMs are based on the abstract ideas of neural nets from brains. Say what you wish, but some problems were completely unsolvable before we adopted this paradigm. On some level, we must've gotten some ideas close to the right ballpark.

I had the same confusion initially, interestingly chat GPT gets it:

So while wolfgang42 wasn't there when Ulbricht was actually arrested, their realization created a vivid mental image of the event unfolding in that space, which made the story feel more immersive.

In short: they were reading about an old event, but it happened to occur in the same spot they were sitting at that moment. Hope that clears it up!

Is there reason to believe that the extra voters would've helped Kamala instead of Donald?

What successful projects have you birthed and how do they compare?

So you're saying it's better to be like most people: to promise nothing and then deliver exactly that, perfectly on time.

How do you reconcile his "bullshit" with the fact his spaceships are saving astronauts from space?

Wow! I love this take. Somehow with all this evidence of COT helping out LLMs, I never thought about using it more myself. Sure, we kind of do it already but definitely not to the degree of LLMs, at least not usually. Maybe that's why writing is so often admired as a way to do great thinking - it enables longer chains of thoughts with less effort.

I think it's because OpenAI's leadership lacks good taste and talent. Realistically, they haven't shifted the needle with anything really interesting in 2 years now. They're using the inertia well but that's about it. Their model is not the best, the UI is not the best, and their pace of improvement is not great either.

Except last I heard it's getting merged with the hated React router and it's not really clear what that implies, no? Haven't used either, just reading.

OP here. Thank you! I think your singling out of truly complex apps like Notion makes the situation more intuitive to me.

To clarify this, I think it's reasonable that token prediction as a training objective could lead to AGI given the underlying model has the correct architecture. The question really is if the underlying architecture is good enough to capitalize on the training objective so as to result in superhuman intelligence.

For example, you'll have little luck achieving AGI with decision trees no matter what's their training objective.

Yeah, I don't get it. I used Vue because it was straightforward. The options interface was Vue. Now, if it keeps getting more complicated and also has two ways to go about things, and the docs are split into two as well... Why not just go for React that's complicated and more popular?