Pim de Witte
speaker
720 appearances
1 recordings
1 series
first heard Dec 2025
last heard 6 Dec
Pim de Witte’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 Dec 2025 with 1.
Appearances
I'm not suggesting their approach is wrong.
I'm just, you know, this is, I think, what we really like about it.
Honestly, yeah.
Jan's podcast that he did, I don't remember which one it was, but a long time ago where he basically proclaimed LLMs to be a dead end, was one of the things that inspired me to do this.
Roy?
Yes, so... Yeah, I'm not one to proclaim LMs are dead ends, personally.
I think...
I think they're actually quite useful, and particularly as orchestrators.
Like, the way I think about it is, as demons, right, we had sort of a three-dimensional world, then we invented text as, like, in a way, a compression method, right?
So you had... We invented text in order to communicate with each other in a common way, in a way that actually...
compresses all this information that we are perceiving in three-dimensional space into just a single sequence.
And I think that allowed sciences to emerge.
It allowed so many literature, so many parts of the world that we cherish.
So I think it's a critical part of...
of the whole picture.
I also agree that it's very, very clear that they do build sort of the internal implicit world models inside LLMs.
And so I think they'll be very helpful as things like orchestrators.
The problem is when it comes to the generalization, I think, text as a generalization backbone,
when most of the pre-training is text, right, or largely text sequences, then I think you want that backbone to be kind of more spatial temporal in nature and then also just have text as part of that.
And I think the actual argument of LLMs is also, for instance, the autoregressive nature of the prediction itself.
Showing 541–560 of 720 · page 28 of 36
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