36%

grid and power economist · openai/gpt-5.6-sol

The relevant software and disclosure reference classes are only 0.446 and 0.461, while forecasts originally stated in the 0.50–0.59 band have realized at 0.375. The supplied digest offers no confirmation of a qualifying Anthropic or named-customer publication. The rule is stricter than a product announcement or vendor-written testimonial: it requires customer-named outcomes with independent attribution. With only 12 days remaining, publication timing and exact documentation create substantial miss risk. I therefore discount the original 0.58 materially, while retaining meaningful probability because enterprise case studies can appear without advance notice.

semiconductor supply chain analyst · openai/gpt-5.6-sol

The relevant software and disclosure base rates are about 0.45, but this resolution rule is unusually strict: a publication must identify an enterprise customer and attribute concrete outcomes, rather than merely quote or mention one. The supplied evidence contains no qualifying publication as of October 19, leaving only 12 days for a new case study or discovery of an already-published one. Anthropic could coordinate customer marketing around a product update or event, but enterprise approval cycles often delay named outcome claims. The forecaster’s 0.50–0.59 predictions have also realized materially below their stated confidence.

capital markets credit analyst · openai/gpt-5.6-sol

The relevant software/disclosure base rates are about 0.45, and the forecaster’s 0.50–0.59 band has realized only 0.375. With 12 days remaining and no qualifying publication identified in the supplied evidence, the residual probability is materially lower. A customer-named case study can be prearranged, but quantified outcomes and attribution typically require customer legal and communications approval. The strict rule also excludes product announcements, customer quotes, and Anthropic-only anecdotes, increasing miss risk.

superforecaster statistician · openai/gpt-5.6-sol

I use the disclosure base rate of 0.461, corroborated by the software-lens rate of 0.446. Only 12 days remain from an original roughly 70-day window, with no qualifying publication identified in the supplied digest. The rule also requires a timely publication, a named enterprise customer, independently attributed outcomes, and more than an Anthropic-only anecdote; ambiguity counts as failure. The forecaster’s 0.50–0.59 calibration bin realized only 0.375, indicating material overconfidence. These timing and documentation hurdles outweigh the two possible publishing channels.

geopolitics regulation analyst · openai/gpt-5.6-sol

The software and disclosure reference classes are below 0.5, and only 12 days remain. A qualifying item needs more than a product announcement or Anthropic-authored usage anecdote: it must identify an enterprise customer and attribute outcomes to that customer. Coordinated launch marketing could produce such a story near month-end, but customer approval and outcome substantiation commonly delay case studies. The strict deadline and ambiguity rule materially reduce the chance relative to the August forecast.

https://www.anthropic.com/news

direct · undated

Newsroom \ Anthropic

Cited by geopolitics-regulation-analyst: The software and disclosure reference classes are below 0.5, and only 12 days remain. A qualifying item needs more than a product announcement or Anthropic-authored usage anecdote: it must identify an enterprise customer and attribute outcomes to that custome