The Cognitive Revolution / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
24 published records
01 / evaluation
“In the case of Anthropic, we're using five-minute caching, and so it doesn't stick around very long.”
02 / prediction
“sophistication of these harnesses is going to get just 10 times as complex. But I think there's going to be some pretty major breakthroughs here that increase the capabilities of these things pretty substantially in the way that we handle memories and the way that we handle oversight and control and the way we connect to other tools.”
03 / belief
“I think the value of being a system of record in a world where you have agents goes down a lot because like moving data around between systems suddenly gets a lot easier.”
04 / belief
“Other, so you mentioned, I think five providers, Anthropic, OpenAI, Gemini, Deepseek, and Kimmy.”
05 / uncertainty
“I don't know, you probably know what the ratio is of API cost to effective token cost when you buy a Claude Max subscription and max it out.”
06 / belief
“I agree with that, and I think that trend is going to continue. But I also think the effects are multiplicative, and they're orthogonal disciplines, and there's no reason not to take the best model and put in the best harness, and I think we should.”
07 / belief
“I think the harnesses are also kind of converging in terms of capabilities, and largely that's because it turns out the best harness is just through low-level primitives.”
08 / belief
“There are some changes that we can make to do a lot of cash optimization across agents and potentially even across organizations and users. And I don't want to get into the specifics of that because that's still upcoming, but I think there's a lot of potential actually to save money across agents as well.”
09 / belief
“I think you've maybe navigated this about as well as anyone could in the sense that betting on Anthropic and kind of going all in on whatever the best model is, which has been clawed to make it work as well as possible while the capabilities curve was getting to critical thresholds.”
10 / belief
“We have lots of ideas how to improve this, but the basic approach of this decreasing fidelity as you go back and these bucketed cache-aware chunks, I think is the right approach.”
11 / belief
“I think my experience with the anthropic models is they are like much more creative, much more empathetic.”
12 / belief
“There's going to be the horizontal platforms, of which I think there'll be a very few winners because people don't want to have to maintain context and connection across a bunch of platforms.”
13 / belief
“I think ideally as little as possible because we want to support a lot of models and like it's hard to have a thing that, you know, It's hard to maintain across both balls, but we also want to have the ability for these agents to switch between models.”
14 / belief
“The naive way to do this is to like load that data through an API, feed it into the LLM, have the LLM then like call some tools to put it somewhere else. And basically, when you do that every time, you're putting it through language model context and trusting it to not hallucinate and reproduce that data, which I think the models get better at over time, but it's very hard to have a lot of confidence there.”
15 / evaluation
“The number one reason that they do that is because they already have a max plan, and they don't want to have to spend additional money on tasks.”
16 / evaluation
“And usually the answer is no. And I think the ones that we've, like Kimi, DeepSeek, and Google, and plus obviously OpenAI are the ones where like, Okay, actually this is pretty close to the frontier, so it's worth doing.”
17 / evaluation
“We've also rethought the way our integrations work. So this is something I think for a product experience that maybe doesn't look terribly different to folks, but the basic architecture of how we plug in other systems to the Tasklet agents has been completely rethought, basically to allow the agent to have sort of more control and management of like, those connections.”
18 / evaluation
“The reason we started on Anthropic and I've been so Anthropic focused for so long was just that the basic core of our agent, like the ability for it to navigate through a discovery process of connections and activate the right tool in your agents and then manage its context the way we manage its context, just the core inner workings requires kind of a base level of intelligence that the other models just couldn't do.”
19 / evaluation
“The reason our context manager is built the way it is is because you want to have triggers as sort of regular messages into the agent, which means these agents, if you have an agent that's running a trigger every time you get an e-mail, that agent might fire 10,000 times this year.”
20 / preference
“Then we built the thing we launched in October, and the feedback from people was like, Hey, We don't wanna have one tool for workflow automation and another tool for doing our day-to-day work because we want them all to have the same context.”
21 / evaluation
“from a competitive position, like, you know, is there concern here that like OpenAI isn't going to like own the user relationship and, you know, if they already have an OpenAI account, why do they have an account with us? I think we are maybe a little more concerned now than we used to be.”
22 / prediction
“You saw the progress Codex made over six months, and if they put that level of effort into tuning the models around these types of agenda use cases, I think that'll be It'll be huge.”
23 / evaluation
“Yeah, so caching has actually become a much bigger deal because now that the real context is in the file system, there's just a lot more tool calls that need to be done to do the basic operations of the agent because you're loading in a bunch of files and stuff.”
24 / commitment
“Marc Andreessen had a thing about this, and I think people figured this out, but we made the switch kind of in November where we said, really, okay, what we need is a file system.”