“The other problem is that these companies don’t really appear to have a way to cut costs, because inference remains very expensive and training costs are never going away”
Our reading:
Anthropic and OpenAI don't really appear to have a way to cut costs, because inference remains very expensive and training costs are never going away.
Assessment: Can’t be checked
What happened
Not graded on evidence
Outcome: Can’t be checked
An opinion, a recommendation, or too vague to test. Listed, not scored.
Evidence up to . Checked .
Why
Zitron says the companies 'don't really appear to have a way' to cut costs, and that training costs are 'never going away.' The first is a hedged impression. The second has no deadline. Neither names a measure. Grading it would mean adding a cost baseline and threshold he did not give. For context, Anthropic's S-1 shows compute costs rising every quarter in dollars while falling as a share of revenue, which could be read either way.
Caveats
- Context covers Anthropic only, not OpenAI.
Evidence (1 item)
Claims like this aren’t scored, so there is no evidence to show.
How we judged it
- Kind of claim
- Causal claim
- Deadline
- None given. We don’t add one.
Conditions
- don't really appear to (their words)
Where we had to interpret
- As the reviewers noted, 'don't really appear to have a way' is an explicitly hedged impression, not a firm claim. 'Never going away' has no time limit and cannot be tested. Turning it into a measurable test would require baselines, thresholds and accounting choices he did not give.
- It is treated as not checkable.
We don’t grade claims like this. We only check the quote and who said it.
We found 38 claims in this post. See them all.
Full record
Source and dates
Where's Your Ed At, Why Are We Still Doing This?, paragraph 54.
- Said
- We read the source
- live page, full text, public
- Evidence up to
- Checked
We read this wording on 2026-10-28. The post may have been edited after 2026-03-17.
Where it was said (1)
Said once in the posts we read.
: Where's Your Ed At, Why Are We Still Doing This?
The other problem is that these companies don’t really appear to have a way to cut costs, because inference remains very expensive and training costs are never going away
- Where
- paragraph 54
- Published
- 2026-03-17
- We read it
- , live page
- Access
- full text, public
History
Versions
- Current: Can’t be checked. Evidence up to 2026-10-28.
What happened to this record
PublishedBy us
Published after both AI reviews and the final check passed.
Held backBy us
A reviewer said our test wasn’t fair to what was actually said.