Musk gives SpaceX two clocks: a Fable-class model in 2-3 months, 'pole position' in about 6

Musk gave SpaceX two deadlines for one ambition, in two posts an hour apart on September 24. At 15:54 UTC: a "cautiously optimistic" claim of a "Fable/GPT-6 level model in 2 to 3 months". At 16:31: "If our second derivative remains strong, SpaceX will reach pole position in about 6 months." Both are forecasts; SpaceXAI has announced no model, no date and no benchmark.

Two clocks, one number to clear

The quotes measure different things: a flagship-class model in two to three months is a claim about one release, while "pole position" in about six is about standing. The bet is on a rate of change: "our AI efforts are only 3 years old" against "6 and 10 years old for Anthropic and OpenAI". SpaceX folded xAI in during February 2026, so the merger post now reads SpaceXAI.

The baseline is measured. Artificial Analysis put Grok 4.7 at 46 on its Intelligence Index on September 21, two points over Grok 4.6, the release we covered here:

• Intelligence Index: 46, up 2 over Grok 4.6
• Coding Agent Index: 56, 4th behind Fable 5.1 and GPT-6 Astra
• AA-Briefcase: 1,657 Elo, up 111
• Output tokens per index task: about 81k, against 27k for Astra

Fable 5.1 and GPT-6 Astra, the models Musk named, sit level atop that index at 53 each.

One claim in three is checkable

Only the third point describes the world: "Hardware is hard. Bringing massive compute online rapidly is incredibly difficult." Compute buildout is measurable: power, accelerators, timelines. The second derivative is not: no series of Grok-to-Grok gains is published, and one two-point step is the whole record. The middle point is the post's real argument: "Once you far exceed the caliber of intelligence needed for a class of tasks, additional intelligence is pointless", because it would be "cruel to put" Newton-level intelligence "in your toaster". If that holds, the leaderboard everyone is climbing is not measuring what matters, and "pole position" on it is not a lead worth announcing. Cost sits underneath: Grok 4.7 buys its two points with roughly 81k output tokens per task, triple Astra's 27k by Artificial Analysis's count, making parity this way a billing story as much as a research one.

What the thread argued, and what would settle it

Reception was warm and off-topic: the top replies leaned on the toaster line, with @martinw4565 writing "Newton level toast AI", while @DataRepublican argued "hardware wins the AI game in the end". The r/singularity thread ran to a few hundred points and more than 400 comments: demand for the forecast, not evidence.

Three things would settle it: a model by late December, a third-party placement on the same index, and a compute buildout that feeds a training run rather than an inference fleet.