“So far as I know your cars are still mostly just doing a kind of glorified hash-table-like lookup (viz deep learning), and hence still having a lot of problems with unexpected situations.”
Our reading:
So far as Marcus knows, Tesla's cars are still mostly doing a kind of glorified hash-table-like lookup (deep learning), and as a result still have a lot of problems with unexpected situations.
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
Marcus offers a qualified characterization and links it to difficulties with unexpected situations. The earlier proposed test would turn that wording into a definite causal claim. Evidence that Tesla used deep learning and experienced unusual failures could establish those narrower observations, but would not settle this statement as written. A literal hash-table test would also misread the analogy. Following the rule for hedged claims without a fair operational reading, no factual outcome is assigned.
Caveats
- No external evidence search was conducted because the contract could not be defined faithfully.
- This disposition does not establish whether Tesla's systems were reliable or whether deep learning contributed to particular failures.
Evidence (0 items)
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
- so far as I know (their words)
Where we had to interpret
- The statement concerns Tesla's driving systems at the time of the May 31, 2022 post.
- 'So far as I know' qualifies the speaker's confidence; it is not a conditional forecast antecedent.
- 'A kind of glorified hash-table-like lookup' is a qualified analogy, not a literal specification of Tesla's software.
- I do not replace this qualified analogy and causal suggestion with an unconditional, measurable causal claim. Establishing deep-learning use and unusual-situation failures would test narrower propositions.
We don’t grade claims like this. We only check the quote and who said it.
We found 22 claims in this post. See them all.
Full record
Source and dates
Marcus on AI, Dear Elon Musk, here are five things you might want to consider about AGI, paragraph 15.
- 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 2022-05-31.
Where it was said (1)
Said once in the posts we read.
: Marcus on AI, Dear Elon Musk, here are five things you might want to consider about AGI
So far as I know your cars are still mostly just doing a kind of glorified hash-table-like lookup (viz deep learning), and hence still having a lot of problems with unexpected situations.
- Where
- paragraph 15
- Published
- 2022-05-31
- 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.