Robinson’s exit now comes with an explanation
David Robinson’s October 3 essay criticizes OpenAI’s safety culture. The public commitments deserve a closer read, droogies.
Read the pick: Robinson’s exit now comes with an explanationX OPPORTUNITY RADAR / THE BRIEF
SemiAnalysis found launch-time public safety results for nine of 857 Chinese model releases it reviewed. Missing disclosure is a problem of evidence, not proof that internal testing never happened.

The model has left the station. The safety paperwork is apparently still looking for its platform.
In an October 8 report, SemiAnalysis reviewed 857 identifiable releases from nine major Chinese AI developers, covering 2021 through September 15, 2026. It found public, model-specific safety results available at or before launch for nine releases: 1.1% of the sample.[1][2]
Viddy the distinction, droogs. A report arriving six weeks later may improve the record. It cannot travel backwards and help the buyer who had to decide on launch day.
The researchers counted actual results, including substantive findings, rather than generic assurances of evaluation. They did not automatically apply a flagship model’s results to its variants. Their search covered public materials; an absent disclosure does not establish that internal testing was absent, or that a model was unsafe. The census also does not supply a comparable US disclosure percentage.[1][2]
The sensible buyer’s question is wonderfully unglamorous: which results describe this exact model, and were they available when we committed to using it? A safety slogan has excellent uptime. It is the supporting evidence that needs a service-level agreement.
Checked Oct 9, 2026. Numbered references point to the evidence behind factual passages. Commentary is our own.