Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
We recorded 10 claims from this post. 1 was checked against evidence. 9 can’t be checked. Read the post at its source.
Claims from this post (10)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Observation
“But you could make similar graphs in many domains: loads of nominal productivity, but not much real world impact.”
Our reading: In many domains AI produces lots of nominal productivity but little real-world impact.
No horizon
Qualifier: in many domains
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Most of it is slop (and in some cases work slop):”
Our reading: Most of the AI-generated content is slop, and in some cases work slop.
No horizon
Scope: most of it
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“The graphs from FT and The Washington Post show the same thing over and over; we are being flooded with AI-generated content, from apps to music to scientific papers, but that doesn’t make any of it any good. Most of it (in fairness, not all) isn’t.”
Our reading: We are being flooded with AI-generated content, from apps to music to scientific papers, but that does not make it good, and most of it, though not all, is not good.
No horizon
Scope: most of it (in fairness, not all)
Assessment: Can’t be checkedSaid
Observation
“It is very likely that the same thing is happening in math.”
Our reading: It is very likely that math research is being flooded with low-quality AI-generated work.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“But all too often that content — created by a giant but unreliable word prediction machine that is more regurgitative than innovative — is of little lasting value.”
Our reading: All too often, content from generative AI, a giant but unreliable word prediction machine that is more regurgitative than innovative, is of little lasting value.
No horizon
Qualifier: all too often
Assessment: Can’t be checkedSaid
Observation
“Maybe the biggest exception is coding, but even there, it’s not yet clear how many of the systems that have been created with the help of agentic coding will endure.”
Our reading: Coding may be the biggest exception to AI's low value, but it is not yet clear how many systems built with agentic coding will endure.
No horizon
Qualifier: coding may be the biggest exception
Assessment: UnresolvedSaid
Observation
“The one possible major productivity story (coding) also happens to be the one burning the most cash.”
Our reading: AI coding, the one possible major productivity success, is also the use case burning the most cash.
No horizon Evidence as of
Limitation: The target quarter and cash-burn definition are evaluator interpretations because Marcus did not specify them.
Assessment: Can’t be checkedSaid
Observation
“It’s hard even to say how the chip companies are doing, once you factor out all the circular financing and shrinking cash flow.”
Our reading: It is hard even to say how the chip companies are doing once circular financing and shrinking cash flow are factored out.
No horizon
Qualifier: once you factor out circular financing and shrinking cash flow
Assessment: Can’t be checkedSaid
Conditional forecast
“It could well be that once the providers (Open AI, Anthropic, Cursor, etc) attempt to charge enough money to cover their losses, the cost of AI could become more expensive than the humans it is replacing.”
Our reading: It could well be that once AI providers such as OpenAI, Anthropic and Cursor attempt to charge enough to cover their losses, AI could become more expensive than the humans it is replacing.
No horizon
Only if: once providers attempt to charge enough money to cover their losses
Assessment: Can’t be checkedSaid
Rhetoric
“Talk about digging holes without creating real value.”
Our reading: The AI spending and losses he has just described amount to digging holes without creating real value.
No horizon