Adoption Use Cases accounted for 36% of the relevant conversation across 28 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.
In the discussion
It was better, in fact, than the models they were using before. And so they're still able to provide the level of service to their customers by using Mercury.
How AI is changing work, hiring, roles, and the skills people need.
Trend this week
About the same2%of conversation
11 of 12 published weeks met the cross-podcast threshold.
7quoted moments3episodes2podcasts discussing this topic
A closer read
What changed
Its share fell from 2.4% to 1.7%, with evidence across 6 podcasts.
Where it showed up
It appeared in episodes including “No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench” and “The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well”.
How to read it
3 cited episodes from 2 podcasts are shown below. The topic appeared across 6 podcasts in the full analysis.
Podcast moments from the week
7 quoted moments · 3 episodes · 2 podcasts
The Cognitive Revolution
No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench
“How has your team composition changed over the last couple years? You kind of mentioned earlier, like, maybe we don't need this team, but we can reskill. And are there any thresholds for AI capability, something that you're like, well, they can't do this now, but if they could...”
“impact that changes how teams are built and how productive they are. I'm a little bit less sure that this specifically leads to displacement in the short term. I think it also does create additional demand and does create additional, like, things that human workers can do on t...”
“Your idea— not your idea, but your reference to the idea that somebody might be required to sit in the car even as the car drives itself reminds me actually of a m novel that my dad wrote about a pretty dystopian but highly AI-enabled future where everybody is kind of out of w...”
“Human frictions to— friction to change and lack of change management planning by enterprises is going to slow the impact on jobs, and then the lack of vision and strategy overall to implement the technology we already have definitely is in a positive way slowing down the job d...”
“Yes. And so if, if we just rolled out GPT-6 Astra Fable 5 into every enterprise across their entire workforce and train them on a personal level how to use it, there's no way that the economy could handle the amount of job displacement that would come from that. But so far, th...”
Its share rose from 28.5% last week to 36.4% this week, reversing the previous week's drop.
Share of this week’s podcast conversation
Recent weeks34.8%→This week36.4%
Came up more often than in recent weeks.
Podcast moments5 cited momentsViewClose
No Priors
Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon
It was better, in fact, than the models they were using before. And so they're still able to provide the level of service to their customers by using Mercury.
Instinct & Meta Muse Are AI Agents That Can Run Your Life. We Let One Try.
No, I'm just saying I, I need to know a little bit more before I get into bed with Instinct. And so I do use it. I have some anecdotal wins with it. Did I talk about the, the, the shade Street View thing last week?
Its share has stayed near 12.8% of the conversation for three weeks.
Share of this week’s podcast conversation
Recent weeks12.6%→This week12.8%
Came up about as often as in recent weeks.
Podcast moments5 cited momentsViewClose
The Cognitive Revolution
AI:AM Highlights: Zvi on Pacing & Trump-Xi, Astra better behaved than Fable? + a new LLM Pain Axis??
I agree with you there, but I think for all signs, it's fairly easy to say right now that the Chinese are less concerned with AI safety. And so offering them an AI safety pacing the frontier is not something which is something that they're willing to purchase at an expensive p...
exaggerating risk timelines or severity will have negative second-order effects. uh I remember many loud AI safety debates and their associated clouds over the viability of open-source AI in 2023 and 2024. The primary risks then did not arrive in the forecasted timelines
When you earlier, you were talking about safety being, you know, real safety being applying to things other than what people are talking about and really clearly reacting to um at a large scale. I did notice that you didn't necessarily mention safety of, like, systems, right? ...
The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well
we'd find economically productive applications for all the models that would allow us to recoup the investment on all the frontier models and all the chips so far.
Humanity’s Last Invention — Richard Socher of Recursive
One thing I always try to reconcile when talking with new lab founders is you're kind of fighting bitter lessons all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.
Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC
I uh won't get into the details, but it's a subcommittee of NIST that typically sets standards. Uh, so it's basically a government body that has AI experts. Yeah, exactly.
The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well
I don't think the US government is going to be as capable of like keeping like a specific, like sort of uh sophisticated level of control and oversight
I also think that what you articulated there, my growing sense is that that's kind of what the Chinese government thinks, is that they are going to be able to ultimately adapt to this and control it better And that we're gonna have a really hard time figuring out how to manage...
Its share grew from 16.5% last week to 22.1% this week.
Share of this week’s podcast conversation
Recent weeks17.1%→This week22.1%
Came up more often than in recent weeks.
Podcast moments5 cited momentsViewClose
The Cognitive Revolution
AI:AM Highlights: Zvi on Pacing & Trump-Xi, Astra better behaved than Fable? + a new LLM Pain Axis??
I tell this to people and people are like, no, OpenAI models are the ones that reward hack the most. Uh But that might be true, but not in our experience. If you take BlueprintBench, for example, um Fable solves BlueprintBench by trying to reverse engineer the scoring function...
When pressing the button actually removes, uh, uh, uh, the vector, the model presses again, uh, significantly less than when the button is fake and does nothing. The model basically keeps pressing it. And so this is a really nice indication that if what mattered was the label ...
my mental model for the very early innings of RSI is more of massively scaling and diffusing inference-time compute to AI research and related activities, which has a large amount of low-hanging fruit available.
How did you think about um applicability, or what experiments did you run in terms of cracking the nut on discrete versus continuous modalities? Because I think people have also shaped the existing dominant paradigm through new tokenization uh efforts or uh methods to make vid...
