The cited moments below show this week's discussion. No adjacent measured week is available for a change comparison.
Where it showed up
Adoption Use Cases and Research accounted for 49% of the relevant conversation across 27 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.
In the discussion
Well, you know, there's a tendency to anthropomorphize it, but no, like millions of people are using Claude code because this is tangentially related to how we you know, how we come up with causal abstractions in the world. So, you know, the way we do it is we are in the world...
The chips, data centers, energy, and devices that AI depends on.
Trend this week
New this week2%of conversation
1 of 1 published week met the cross-podcast threshold.
15quoted moments6episodes6podcasts discussing this topic
A closer read
What changed
This was its first published appearance at 2.4% of the conversation, with evidence across 8 podcasts.
Where it showed up
It appeared in episodes including “The Thermodynamic AI Computing Chip - Thomas Ahle” and “AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 8 podcasts in the full analysis.
“So my background is in theoretical computer science. I used to do algorithms for high-dimensional data, locality-sensitive hashing. Then I moved to normal computing to develop thermal computing, also to speed up Bayesian intelligence. Sometimes I think about it as the lovable ...”
“And then you infuse all of this noise, and it'll start to behave according to these stochastic differential equations. It actually behaves sort of according to the inverse of that matrix.”
“if you restrict the supply of compute, which is relatively easy, then that just takes a ton of pressure off of all of these runaway growth like avenues”
“The last stretch is about the systems, the science, and the buildout underneath all of it. First, Bing Xu, co-creator of MXNet, now out of stealth building self-improving infrastructure. His company runs a swarm of AI agents that write PTX, the lowest-level code that tells an ...”
“Yeah, I mean, listen, Kevin, this is a— this is part of one large story, right? And the one large story is that AI has come for the world. And we have been talking about this for a while. And Kevin, I hate to tell everybody in the world of AI this, but This MacBook increase in...”
“I do have to say, I think, I think disclosure that I am invested in several memory companies. Yes, you should. Yeah, yeah. Kind of, I did, I did see this happening. Um, yes. But so on, on the one hand, oh darn, my portfolio has increased. On the other hand, I am also seriously...”
“First up, OpenAI has unveiled their first in-house chip. The chip is codenamed Jalapeño and was produced in collaboration with Broadcom. OpenAI referred to Jalapeño as an integrated processor and described it as the first AI accelerator in a multi-generation compute platform. ...”
“This morning is another one of those moments. Now, with the stakes established, analysts held their breath on Wednesday night to see if Micron could come through, and the results were much stronger than anyone expected. Micron delivered a beat on top-line revenue and profits, ...”
“What they're doing here is they preprocess the token representation and project it to make it smaller, like a small lower-rank latent space, which just reduces the amount of computation that, you know, each of those experts has to do, makes the whole thing more efficient overa...”
“I still think the potential's there. I think technology of AI with the form factor of glasses and the fact that we look, use our eyes when we're wearing glasses to see lots of things.”
“Yes, that's a great way to put it. The data center on your face. I like that. That might just have to be the title. But, um, but yeah, like, are we— is this Glasshole 2.0, do you think, potentially? Or, or is it not quite there yet?”
