About this Concept
Research
New models, training methods, benchmarks, and discoveries from AI labs.
Trend this week
11 of 11 weeks tracked had mentions across multiple podcasts.
A closer read
- What changed
- Its share fell from 17.7% to 17%, with evidence across 11 podcasts.
- Where it showed up
- It appeared in episodes including “AI:AM Highlights: Welcome to the AGI Era” and “Less about Models; More about Architecture”.
- How to read it
- 6 cited episodes from 5 podcasts are shown below. The topic appeared across 11 podcasts in the full analysis.
Podcast moments from the week
Moments are grouped by episode so repeated excerpts from one conversation do not look like separate sources.
The Cognitive Revolution
AI:AM Highlights: Welcome to the AGI Era
“From what I understand, It works at least somewhat with vanishingly little additional training, even zero additional training, if you just take the last latent activation vector and feed that right back in as an embedding. Uh And that's basically like the model is able to kind...”
ConceptResearch
Report this moment“Prakash put the behaviour down to reinforcement learning, rewarding the result regardless of the method. Over the weekend, someone had gone further and suggested that this kind of training, reinforcement learning on verifiable rewards, should be banned outright. That is furthe...”
ConceptResearch
Report this moment“What I found is the, is the rather, uh, almost like lawyerly language. A loop transformer is not a Coconut-style latent reasoning where the model emits vectors instead of words. Okay, that's great. And no reasoning tokens exist. Loops don't emit anything. They run more on comp...”
ConceptResearch
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Practical AI
Less about Models; More about Architecture
“Just to add to that, Daniel, right? If you remember um when we were doing sort of these machine learning models for industrial use cases, we had this golden dataset. So, before you could deploy, the customer will say, prove your model works on this golden dataset.”
ConceptResearch
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Machine Learning Street Talk
Designing How AI Grows — Tom McGrath
“Like, if you do the math, then you should actually understand how the parameters will propagate and how the model with the slightly updated parameters will change. But it's a good enough approximation for getting started. So that gives you the readout.”
ConceptResearch
Report this moment“today, reward is clearly not enough to give us the models that we want”
ConceptResearch
Report this moment“it seems logical to me to have some kind of an active, intentional process to guide how we train these models”
ConceptResearch
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AI For Humans
We Tested Infinite AI Video... And We're Zombies Now
“Sam Altman is out here preaching about OpenAI's new Astra model, which might be coming this week, and the leaks, ooh, they're leaking.”
ConceptResearch
Report this moment“there has been some genuine, uh, really interesting stuff that has been coming out visually out of this Astra model”
ConceptResearch
Report this moment“it looks like it is a model with taste and capabilities, and it also looks like, oh, we're uh not slowing down”
ConceptResearch
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The TWIML AI Podcast
World Models and the Future of Spatial AI with Justin Johnson - #775
“Well, put like that, the distinction is, is obvious. Like it's, it's not just world, it's world model.”
ConceptResearch
Report this moment“Do you see this implicit world model as, you know, just another definition or like an incorrect set of beliefs? Like, you know, what, when you hear that, do you? You know, do you feel like those are world models? Do you think that's a valid way of thinking about world models? ...”
ConceptResearch
Report this moment“then it's going to end up with some notion of implicit world model somewhere in the system”
ConceptResearch
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The Cognitive Revolution
Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance
“we can get as much as 14% improvement compared to some of those other embedding models that we just mentioned”
ConceptResearch
Report this moment“There is a very big difference that you can get in retrieval quality based on what embedding model you choose.”
ConceptResearch
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