“In any case, there really is no changing this path. They are out of ideas.”
Our reading, the sentence that was checked:
AI model developers are out of ideas and will not escape the path of improving models by burning more tokens.
Assessment: Contradicted Settled before its deadline on 2026-10-29 Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, How To Argue With An AI Booster, paragraph 247.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-how-to-argue-with-an-ai-booster-80bd07-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 2025-08-25. 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
- Settled before its deadline
- Deadline state on 2026-10-29
- Settled before its deadline (the release’s reference date)
From the speaker
- there really is no changing this path
- They are out of ideas
- all the "gains" from "powerful new models" come from burning more and more tokens
Our interpretation
- Read in context, the testable commitment is that developers cannot improve model capabilities without increasing token consumption.
- A comparison of successive models on the same benchmark suite, with reasoning enabled and total generated tokens measured, can test this categorical claim.
- The claim about developers' ideas is assessed through demonstrated technical progress, not speculation about their thoughts.
Counts as supported if: Evidence that improvements continue to require more generated tokens would support the direction of the forecast, but cannot conclusively establish an unlimited claim that this path will never change.
Counts as contradicted if: A publicly available successor model demonstrates higher capability on comparable evaluations while consuming no more generated tokens, including reasoning tokens.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Did the forecast come true?
Outcome: Contradicted
The dated evidence goes against what the claim committed to, under the criteria frozen before grading.
Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.
- Evidence as of
- Deadline state when assessed
- Settled before its deadline
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
The September 2025 Gemini updates provide a concrete counterexample. Artificial Analysis measured higher capability scores and lower generated-token consumption for both reasoning models. Google released them publicly on the same date. This contradicts the categorical claim that further improvements must come from burning more tokens.
Limitations
- The result concerns the tested model comparisons, not every task or every subsequent model.
- It does not establish lower training costs, lower total industry spending, or profitability.
- It does not directly assess the rhetorical assertion about developers' private ideas.
Evidence (2 items)
Goes against the claim: Artificial Analysis,
uses 50% fewer output tokens
Why it matters here: Artificial Analysis reports reasoning-mode Intelligence Index scores of 54 for Flash and 48 for Flash-Lite, improvements of 3 and 8 points over their predecessors. The same evaluation reports lower output-token consumption, providing a counterexample to the asserted dependence on increasing tokens.
- Publisher
- Artificial Analysis
- Kind of source
- Independent measurement
- Describes events of
- Public from
Goes against the claim: Google,
achieving higher quality outputs while using fewer tokens
Why it matters here: Google released the updated preview models for public use on this date and explicitly described better outputs with fewer tokens while thinking was enabled. This corroborates the independent comparison and establishes availability.
- Publisher
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, How To Argue With An AI Booster
In any case, there really is no changing this path. They are out of ideas.
- Where
- paragraph 247
- Published
- 2025-08-25
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-how-to-argue-with-an-ai-booster-80bd07-a1: Current. Outcome: Contradicted. Evidence as of 2026-10-28. Public date not recorded.
Recorded events
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.
About assessment wyea-how-to-argue-with-an-ai-booster-80bd07-a1.