The growing AI backlash
We recorded 13 claims from this post. 4 were checked against evidence. 9 can’t be checked. 2 more are held. Read the post at its source.
Claims from this post (13)
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: UnresolvedSaid
Observation
“Practically every day I see new signs that the backlash against AI is growing.”
Our reading: Public backlash against AI is growing, with new signs appearing nearly every day.
No horizon Evidence as of
Limitation: The result depends partly on how much weight is given to practically every day.
Assessment: Can’t be checkedSaid
Forecast
“Public backlash against AI will so be strong by 2028 that anti-AI sentiment will probably be a major factor in the 2028 US Presidential election.”
Our reading: Anti-AI public backlash will probably be strong enough by 2028 to be a major factor in the 2028 US Presidential election.
No horizon
Assessment: Can’t be checkedSaid
Causal claim
“Greed, overhype, and recklessness have screwed it up.”
Our reading: AI could have been great but greed, overhype, and recklessness have ruined it.
No horizon
Assessment: SupportedSaid
Observation
“It’s already splitting both parties.”
Our reading: Frustration with AI is already splitting both parties.
No horizon Evidence as of
Limitation: These examples do not establish party-wide realignment, formal fractures, or electoral consequences.
Assessment: Can’t be checkedSaid
Forecast
“Frustration with AI may even factor into the midterms.”
Our reading: Frustration with AI may be a factor in the 2026 US midterm elections.
No horizon
Assessment: Can’t be checkedSaid
Observation
“That prediction very seems to be on track.”
Our reading: His earlier prediction, that anti-AI sentiment will probably be a major factor in the 2028 US Presidential election, seems to be on track.
No horizon
Qualifier: seems to be
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Outside of coding (where there is clear value), and a handful of other domains (e.g. brainstorming), Generative AI has been a net negative for society.”
Our reading: Outside of coding, where there is clear value, and a handful of other domains such as brainstorming, generative AI has been a net negative for society.
No horizon
Scope: outside of coding and a handful of other domains such as brainstorming
Assessment: Can’t be checkedSaid
Forecast
“over-leveraged environment-damaging data centers that risk causing a recession”
Our reading: Over-leveraged AI data centers risk causing a recession.
No horizon
Assessment: UnresolvedSaid
Causal claim
“GenAI has been undermining secondary and college education, opening up mass surveillance, increasing disinformation, delusions, impersonation, phishing, and other forms of cybercrime, nonconsensual deep fake porn, bias in employment and other domains, and economic disparity, drowning the world in slop and unwanted, over-leveraged environment-damaging data centers that risk causing a recession.”
Our reading: Generative AI has been undermining secondary and college education, opening up mass surveillance, increasing disinformation, delusions, impersonation, phishing and other cybercrime, nonconsensual deepfake porn, bias in employment and other domains, and economic disparity, and drowning the world in slop and in unwanted, over-leveraged, environment-damaging data centers that risk causing a recession.
No horizon Evidence as of
Limitation: The search and verified evidence do not cover every listed harm adequately.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I don’t think we are better off than we were four years ago.”
Our reading: He does not think we are better off than we were four years ago.
No horizon
Qualifier: I don't think
Assessment: UnresolvedSaid
Causal claim
“Some of this is technical (LLMs aren’t reliable), some of it is political/economic (such as the utter lack of responsible regulation).”
Our reading: Some of generative AI's downsides have technical causes, such as LLMs being unreliable, and some have political or economic causes, such as the utter lack of responsible regulation.
No horizon Evidence as of
Limitation: One adjudicated incident cannot measure the general reliability of all LLMs.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“But Generative AI has hurt more than it has helped, and been managed irresponsibly.”
Our reading: Generative AI has hurt more than it has helped, and it has been managed irresponsibly.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“All that said, I honestly believe some future form of AI might be great.”
Our reading: Some future form of AI, unlike current generative AI, might be great.
No horizon
Held from this post (2)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: Most of generative AI's downsides were predictable.