Sebastian Raschka
speaker
1,024 appearances
1 recordings
1 series
first heard Feb 2026
last heard 1 Feb
Sebastian Raschka’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Feb 2026 with 1.
Appearances
Well, you still have to specify what you want your LLM to do, and how do you do that in a... What is the environment?
How do you specify?
You can say what the end goal is, but...
if it can't solve the end goal.
With LLMs, if you ask it for text, you can always clarify, do sub-steps.
How do you put that information into a system that, let's say, books a travel trip for you?
You can say, well, you screwed up my credit card information, but even to get it to that point, how do you, as a user, guide the model before it can even attempt that?
I think the interface is really hard.
I used that feature before and I always feel bad because it does that every day and I rarely check it out.
It's like how much money, like, I mean, compute is burned on something I don't even look at, you know, where it's like, it's kind of like... There's also a lot of idle compute in the world, so don't feel too bad.
I do think they are still, like, rushing to get the next model out, which will be much better than the... Much is a relative term, but will be better than the previous one.
And I can't see them slowing down.
I just think the gains will be made or felt more through not only scaling the model, but now...
So I feel like there's a lot of tech debt.
It's like, well, let's just put the better model in there and better model, better model.
And now people are, okay, let's also at the same time, improve everything around it to like, you know, like the engineering of the context and inference scaling.
And I...
the big labs will still keep doing that.
And now also the smaller labs will catch up to that because now it's just like they are hiring more.
There will be more people, LLMs.
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