Ed Zitron Forecast First said 2024-09-16

“As I discussed at the end of July, OpenAI needs to raise at least $3 billion — but more like $10 billion to survive, as it is on course to lose $5 billion in 2024, a number that's likely to increase as more complex models demand more compute and more training data, with Anthropic CEO Dario Amodei predicting that future models may cost as much as $100 billion to train.”

The Subprime AI Crisis, paragraph 12. The full statement is at the source.

Our reading, the sentence that was checked:

OpenAI's annual losses are likely to increase beyond $5 billion as more complex models demand more compute and training data.

Assessment: Can’t be checked Not checked against evidence

Where and when Ed Zitron wrote it

Where's Your Ed At, The Subprime AI Crisis, paragraph 12.

Said: 2024-09-16
Source observed: 2026-10-28live page, full text, public
Evidence: Not checkedboth screens found it cannot be checked
Assessment recorded: 2026-10-29assessment wyea-subprimeai-eef25b-2-a1

We recorded 35 claims from this post. See every claim from this post.

The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2024-09-16. This page does not claim the wording was captured then.

What the claim commits to

Kind: Forecast
Deadline, as the speaker wrote it: None stated. This site does not add one.
Deadline state when assessed: No horizon
Deadline state on 2026-10-29: No horizon (the release’s reference date)

Conditions

as more complex models demand more compute and training data (qualifier, stated by the speaker)

From the speaker

as more complex models demand more compute and training data

Our interpretation

None added.

This claim is not graded on evidence. The record checks that the words are quoted correctly and attributed to the right person, and that the claim is classified correctly.

Current assessment

Not graded on evidence

Outcome: Can’t be checked

Both AI providers screened this claim on their own and found that public evidence could not settle it. It is recorded and attributed, not scored.

Why it can’t be checked

Both screens gave the same reason:

Stated as a chance or a possibility, or at medium or low confidence.

Evidence: Not checked
Deadline state when assessed: No horizon
Assessment recorded: 2026-10-29
Policy version: 2026-10-28.7

Rationale

Not checked against evidence. Two independent screens, one from each provider, both found this stated as a chance or a possibility, or at medium or low confidence.

Limitations

None recorded.

Evidence (0 items)

No evidence was searched for. Both screens found that public evidence could not settle this claim.

This claim is about OpenAI, and models from OpenAI worked on this record: gpt-6-astra screened it. Agreement between models is a check, not proof.

This claim was not checked against evidence. claude-opus-5-5 (Anthropic) extracted it from the post and wrote the sentence at the top, our reading of the claim. claude-opus-5-5 (Anthropic) and gpt-6-astra (OpenAI) then screened it independently, without seeing each other’s answers. Both confirmed that the sentence says what the author said, and both found that public evidence could not settle the claim. No model wrote the assessment: code composed its text from the two screens, so there was no separate check of the final text. Code, not a model, decided whether it could be published.

Agreement between models is a check on the record, not proof that the assessment is right. Anthropic and OpenAI make these models, and some claims on this site are about those companies. How the method works.

Where it was said (1)

Said once in the sources this register covers.

2024-09-16: Where's Your Ed At, The Subprime AI Crisis
As I discussed at the end of July, OpenAI needs to raise at least $3 billion — but more like $10 billion to survive, as it is on course to lose $5 billion in 2024, a number that's likely to increase as more complex models demand more compute and more training data, with Anthropic CEO Dario Amodei predicting that future models may cost as much as $100 billion to train.
Where
paragraph 12
Published
2024-09-16
Source observed
2026-10-28, live page
Access
full text, public

History

Assessment versions

Assessment wyea-subprimeai-eef25b-2-a1: Current. Outcome: Can’t be checked. Not checked against evidence. Public date not recorded.

Recorded events

2026-10-29
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.
About assessment wyea-subprimeai-eef25b-2-a1.