Yudkowsky conjectured that matching imagery against large concept sets will be one of the most computationally intensive subprocesses in AI, perhaps the most expensive subprocess.
Unresolvable The public record could not settle it.
Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?
Said for an organisation they lead or work for; it counts on both records.
Reasoning
Prediction about AI subprocess cost with no horizon and no definite metric.
Cite this claim
Eliezer Yudkowsky, “Yudkowsky conjectured that matching imagery against large concept sets will be one of the most computationally intensive subprocesses in AI, perhaps the most expensive subprocess.” (said 2007). Verdict: unresolvable. Reliability API, claim c_552cd3761a17, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_552cd3761a17
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More prediction claims by Eliezer Yudkowsky
-
Mixed
“Beating GPT-4 on GI just forces OpenAI to release 4.5.”
-
Mostly true
“But I do feel quite confident that the upper range of that untapped potential is insufficient to outsmart all the living humans and implement the scenario that I'm worried about.”
-
Resolved false
“The current crop of people will not try it.”
-
Mostly false
“So probably Paul’s going to win, but slight moral victory.”
-
Resolved true
“Alignment will not be solved in a few years.”
Verdicts are made automatically; how verdicts are made.