Five signs that Generative AI is losing traction
We recorded 2 claims from this post. 1 was checked against evidence. 1 can’t be checked. 3 more are held. Read the post at its source.
Claims from this post (2)
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
“Earlier today I wrote about how vibe coding seemed to be losing steam, with usage declining, quite likely because people are growing disenchanted with the results.”
What we tested: The decline in vibe coding usage is quite likely because people are growing disenchanted with the results.
Assessment: UnresolvedSaid
“If and when the whole generative AI edifice comes crashing down, it will be in no small part because too many otherwise smart investors read too many graphs—from “LLM scaling” to usage statistics—too naively, assuming that things had been going up for a while would continue to go up at the same pace, indefinitely.”
What we tested: If generative AI collapses, a large part of the cause will be investors naively extrapolating scaling and usage trends.
Held from this post (3)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- Attribution is uncertain
- The criteria are ambiguous. Our reading, not assessed: Vibe coding appears to be losing steam, with usage declining.
- The record does not meet the current rules. Our reading, not assessed: Marcus would bet a lot of money that OpenAI's Sora 2-driven competitor to TikTok will go through a rise and fall similar to the one he describes for the products earlier in the post.