About this Concept
Economics
The cost of building and running AI, and how money moves through the market.
Trend this week
10 of 10 weeks tracked had mentions across multiple podcasts.
A closer read
- What changed
- Its share rose from 3.1% to 4.9%, with evidence across 9 podcasts.
- Where it showed up
- It appeared in episodes including “Parallel’s Parag Agrawal: Building a New Web for AI Agents” and “#233: OpenAI Pauses Some AI Training, Anthropic Controversy, New State Op...”.
- How to read it
- 4 cited episodes from 4 podcasts are shown below. The topic appeared across 9 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.
Training Data
Parallel’s Parag Agrawal: Building a New Web for AI Agents
“Favorite thing. So the challenge with Shapley values is computing Shapley values in our context is way more expensive than the amount of dollars we spend on the agent. Forget the amount of dollars we want to pay a publisher, right? So to compute a content owner, to compute tha...”
ConceptEconomics
Report this moment“Efficient differential pricing. Paying for differentially a lot for extraordinarily high-value content. Paying a lot for high-value work accessing the same content. So it's differential on both dimensions, quality and value of work being done with it, and a way of doing this s...”
ConceptEconomics
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The Artificial Intelligence Show
#233: OpenAI Pauses Some AI Training, Anthropic Controversy, New State Opposition to Data Centers & AI Job Loss Among Young Workers
“First, on the revenue and the valuation, you know, the potential market cap at $2 trillion, it's just hard to comprehend. I don't know that most people have the ability to really think about these numbers and how significant they really are. And then just going back to a point...”
ConceptEconomics
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The AI Daily Brief
The AI Model Tier List
“Except I don't think that businesses making a conscious decision that Fable 5 isn't worth the price has very much to do with this at all.”
ConceptEconomics
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Eye on AI
95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise
“You gave an example of an agent that gets stuck in a loop and is burning tokens. Which of course is money. And there's been a lot of talk in the last couple of months as these systems move out of pilot mode into production that people are discovering that this can quickly get ...”
ConceptEconomics
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