Research accounted for 24% of the relevant conversation across 24 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.
In the discussion
Interesting. So you feel like the— so yeah, I guess how would you characterize the gap between American API models, Claude perhaps specifically, and a DeepSeek? We hear, we're, I think we kind of go through these cycles, right? Where it's like, oh, the gap is closed. Oh, maybe...
Practical ways people and organizations are putting AI to work.
Trend this week
About the same30%of conversation
8 of 8 published weeks met the cross-podcast threshold.
16quoted moments6episodes5podcasts discussing this topic
A closer read
What changed
Its share fell from 32.4% to 29.7%, with evidence across 13 podcasts.
Where it showed up
It appeared in episodes including “The New Problems AI Is Creating (And How People Are Solving Them)” and “Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 13 podcasts in the full analysis.
Podcast moments from the week
16 quoted moments · 6 episodes · 5 podcasts
The AI Daily Brief
The New Problems AI Is Creating (And How People Are Solving Them)
“In fact, if anything, the speed with which organizations are adapting to this being the new challenge set should be extremely encouraging for the corporate sector overall.”
“Just for calibration, how many tokens are you finding businesses have? Like when you say with these 2 levels, you can get to 2 billion tokens. I don't have a great intuition for, does that cover a 20-person team? Does it cover a team that's been in business for 5 years? What's...”
“That said, now think of a company that's got, you know, 3 to 7 hours of meetings per day per employee, you know, times 2,000 employees. That, that is, that meetings are when you really start to rack up tokens really, really quickly.”
“The smaller organizations are going to be at an advantage, both because they are going to be able to short-term figure out this AI-native organization”
“one thing that I do think AI is so great at, is like you can literally get into whatever AI program you're using and you can start researching something and it can walk you through and it can help you get exposure to ideas, refine ideas.”
“You think it's important that enterprises throughout the economy adopt AI in order to keep ahead of China. But can you talk about what are the risks?”
“I want to help legacy companies that have amazing balance sheets, have fantastic intellectual property, And I want to help them basically emerge AI native in a very defined period of time”
“You see pretty miraculous stuff. You're playing now with Claude Code. You're able to do some vibe coding, even spin up some complicated workflow work.”
“At the moment, I don't feel like learning the next tool or the next thing is where I need the team to go. You've learned what you need to learn at this point. Now, are you gonna take it upon yourself to change the way you work or not?”
“That's awesome. So it sounds like February or so, beginning of 2026 is kind of this Code Red, then rolling out specifically, it sounds like Cursor, which is an agentic coding tool, but used often by non-coders to be able to do things like loops, automations, workflows, agentic...”
test the theory that Kimi K3 and GLM 5.2 had reached frontier performance at a fraction of the cost. In practice, what the study found was that at least for this use case, they were both around the same level as Sonnet 5 and much more expensive than GPT-5.6 SOL.
Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses
One big question that brings to mind is how you are managing caching. And then caching is, of course, is just one, you know, angle on managing cost in general. So maybe we could expand beyond caching and talk about cost management.
Its share fell from 32.4% last week to 29.7% this week, reversing the previous week's rise.
Share of this week’s podcast conversation
Recent weeks31.9%→This week29.7%
Came up less often than in recent weeks.
Podcast moments5 cited momentsViewClose
The AI Daily Brief
The New Problems AI Is Creating (And How People Are Solving Them)
In fact, if anything, the speed with which organizations are adapting to this being the new challenge set should be extremely encouraging for the corporate sector overall.
Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses
Just for calibration, how many tokens are you finding businesses have? Like when you say with these 2 levels, you can get to 2 billion tokens. I don't have a great intuition for, does that cover a 20-person team? Does it cover a team that's been in business for 5 years? What's...
That said, now think of a company that's got, you know, 3 to 7 hours of meetings per day per employee, you know, times 2,000 employees. That, that is, that meetings are when you really start to rack up tokens really, really quickly.
Its share rose from 14.8% last week to 23.6% this week, reversing the previous week's drop.
Share of this week’s podcast conversation
Recent weeks17.2%→This week23.6%
Came up more often than in recent weeks.
Podcast moments5 cited momentsViewClose
The Cognitive Revolution
Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses
Interesting. So you feel like the— so yeah, I guess how would you characterize the gap between American API models, Claude perhaps specifically, and a DeepSeek? We hear, we're, I think we kind of go through these cycles, right? Where it's like, oh, the gap is closed. Oh, maybe...
Hop. Fine-tuning as a dimension in this whole model situation. This is another thing, if I go back in time, I'm like, I definitely expected a lot more fine-tuning than we are getting.
what does it even mean to be a frontier lab if DeepMind is not a frontier lab? I would have just assumed that they are, but like, what does that even mean? I don't know.
Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses
I think like what we are releasing today is called Lindy teammate. It is an AI employee that lives in your Slack, connects to all of your tools, accumulates your entire teams context. And it's really like a team scaffold. I think like AI right now is in the middle of making th...