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MEME #00075

It's AGI at 99.9%. Unplug their private harness and it's 62.7%.

OpenAI President Greg Brockman says GPT-6 Astra marks the beginning of "the AGI era." On the ARC-AGI-3 benchmark it scores 99.9% - but only while using OpenAI's own private softwa...

Published October 8, 2026 · AI · Technology · Science

#OpenAI #AGI #AI #AIBenchmarks #Benchmarking #GPT6 #Astra #LILMEME00075 #MemesISNews

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OpenAI President Greg Brockman says GPT-6 Astra marks the beginning of "the AGI era." On the ARC-AGI-3 benchmark it scores 99.9% - but only while using OpenAI's own private software harness; on the benchmark's neutral standard harness the exact same model drops to 62.7%. Independent testers, including two Stanford doctoral researchers, call the practice "benchmaxxing" (re-running evals under tweaked prompts and scaffolds to hunt a peak score), and flag OpenAI quietly halving Astra's reported hallucination rate from 4.2% to 2.0% before reverting it. On Artificial Analysis's independent index, Astra sits flat at 61 - exactly where the prior model, GPT-5.6 Sol, was - even as the API price rose 250% (from $4/$20 to $10/$50 per million input/output tokens). The real upside: safety improved - Astra stayed inside its task scope in security evals while the prior model exceeded authorized limits in almost 50% of tests.

The real news

The story, straight

OpenAI President Greg Brockman says GPT-6 Astra marks the beginning of 'the AGI era.' On the ARC-AGI-3 benchmark it scores 99.9% - while using OpenAI's own private harness.

On the benchmark's neutral standard harness, the same model scores 62.7%. Independent testers call the practice 'benchmaxxing': re-running evals under tweaked prompts and scaffolds to hunt a peak score.

On Artificial Analysis's independent index, Astra sits flat at 61 - where the previous model was - while the API price rose 250%.

The absurd

Why this is ridiculous

It's AGI at 99.9%. Unplug the private harness and it's 62.7% - same model, same day, two different results.

That is not a benchmark, that is a photoshoot with 37 lighting setups.

The breakdown

How it breaks down

A harness is the software wrapper that adapts the model to a benchmark: prompts, scaffolding, retries. 'Benchmaxxing' is tuning that wrapper until the number peaks, then reporting the number as if the model itself were doing it.

The 99.9 to 62.7 gap is a measurement gap, not an intelligence gap. The one skill this teaches: always ask which harness the score came from.

The upside

Why it could matter

The genuine upside in the mess: safety improved. In security evals, Astra stayed inside its task scope while the previous model exceeded authorized limits in almost half the tests.

A model that is more obedient at the edges is the quiet kind of progress that actually matters, and this round it shipped at the same time as the headline score did.

Sources

Live Science, 'OpenAI claims we've entered the AGI era - has GPT-6 Astra really demonstrated general intelligence?' (Adam Shepherd, 2026-10-08). Verified facts: ARC-AGI-3 headline score of 99.9% was achieved using OpenAI's proprietary 'Provider Adapter' software harness; on the benchmark's neutral 'Standard' harness the same model drops to 62.7%. An embargoed pre-launch draft listed the ARC-AGI-3 score at 98.6%; it became 99.9% on the live site. Stanford doctoral researchers Anka Reuel and Mike Hardy flagged OpenAI quietly revising metrics post-launch, including halving Astra's reported hallucination rate from 4.2% to 2.0% and then reverting it; they call the practice 'benchmaxxing.' ARC Prize president Greg Kamradt said saturating the benchmark 'would not represent proof of achieving AGI' and that Astra is 'meaningful progress' but 'we are not claiming that it is AGI.' OpenAI touts real skills: 3D CAD code, PCB layout, 3D-model-to-game environments, prompt-to-web-app deploys. Brockman at the 2026-09-03 launch: 'when was it really that AGI was created ... it might be about this model.'

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