Musk says nothing will beat Grok 4.7 at engineering.
So far it has beaten only its own ship date.
Grok 4.7 'will exceed all current models', with a SpaceX engineering corpus so strong Musk 'would be shocked if any model is better at real-world engineering than 4.7'. Reported size: about 2.1 trillion parameters. Timeline: '3 to 4 weeks'.
Before you read on. Your call?
BS
0
every part of that is a promise about an object nobody outside xAI can touch. No benchmark exists, vendor-run or otherwise, because the model is unreleased. The 2.1T figure traces to Musk's remarks and appears on no xAI specification sheet. The training-corpus advantage is unfalsifiable and comes with its own asterisk in Musk's earlier post: the SpaceX data excludes everything ITAR-restricted, which is precisely the rocket-engineering core the sales pitch evokes. And the one checkable element, the calendar, has already failed once mid-claim: on July 25 the model was 'about four weeks out', pointing at August 22; on August 12 that became '3 to 4 weeks', pointing at September 2 to 9. The desk notes the base rate: Grok 4.6 was framed for August 7 and shipped August 12. This is a pre-release superiority claim scored against a track record of sliding windows, which is why it files as UNSUPPORTED rather than wrong: there is simply nothing to check yet, and the claimant knows it.
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Receipts
- Supports x.com:
Grok 4.7 will exceed all current models
- Supports x.com:
the SpaceX training corpus is so awesome & unique that I would be shocked if any model is better at real-world engineering than 4.7
- Refutes orcarouter.ai:
On July 25 Musk said the model was about four weeks out, which implied a release around August 22.
- Refutes orcarouter.ai:
Musk's July framing pointed at Grok 4.6 around August 7; Grok 4.6 actually shipped August 12.
- Context teslarati.com:
SpaceX's massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
- Context nextbigfuture.com:
Grok 4.7 is the larger ~2.1T-parameter model. Initial training is complete.
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