OpenAI holds a slight edge in trader-implied odds for first announcing recursive self-improvement because its internal metrics and model releases show more aggressive progress toward automated AI research pipelines. Recent updates highlight OpenAI’s RSI Index benchmark on GPT-5.6 variants, agent-driven experiment design, and researcher statements positioning the lab ahead on autonomous coding and training loops, with GPT-6 Astra training reportedly prioritizing self-improvement capabilities. Anthropic has published detailed data on Claude authoring over 80% of merged code and leading 26% of R&D tasks by August 2026, yet frames these as collaborative rather than fully autonomous milestones and has called for industry slowdowns. Both labs stress that complete, human-independent successor design remains unrealized, keeping the outcome sensitive to the next verified demonstration of closed-loop autonomy.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoOpenAI vs. Anthropic: il primo ad annunciare l'auto-miglioramento ricorsivo?
OpenAI
OpenAI
If neither company makes a qualifying announcement by December 31, 2027, 11:59 PM ET, or if both make qualifying announcements on the same calendar day, this market will resolve 50-50.
A qualifying announcement by any other company does not end the race or affect resolution.
Recursive self-improvement means a capability, as described in the company's announcement, in which the company's AI autonomously conducts the research and development needed to materially improve the general capabilities of its most capable or near-frontier AI systems, or to produce a more capable successor, with the improved system able to drive further such improvements. Humans may set high-level goals and provide resources, oversight, and approval, but must not supply the substantive research choices or the technical solution. Improvements that are toy, narrow, sandboxed, proof-of-concept, or limited to prompts, skills, or benchmark scores will not qualify.
A qualifying announcement must describe the capability as currently achieved in an official capacity. Statements that AI is assisting, accelerating, or writing code for the company's research, statements of future plans or expectations, speculation, interviewer characterizations, leaks, model outputs, and third-party claims will not qualify. A public release, a named model, a technical demonstration, and independent verification are not required.
The primary resolution source for this market will be official information from OpenAI and Anthropic and/or their official representatives; however, a consensus of credible reporting may also be used.
Mercato aperto: Sep 18, 2026, 12:42 PM ET
Risolutore
0x65070BE91...If neither company makes a qualifying announcement by December 31, 2027, 11:59 PM ET, or if both make qualifying announcements on the same calendar day, this market will resolve 50-50.
A qualifying announcement by any other company does not end the race or affect resolution.
Recursive self-improvement means a capability, as described in the company's announcement, in which the company's AI autonomously conducts the research and development needed to materially improve the general capabilities of its most capable or near-frontier AI systems, or to produce a more capable successor, with the improved system able to drive further such improvements. Humans may set high-level goals and provide resources, oversight, and approval, but must not supply the substantive research choices or the technical solution. Improvements that are toy, narrow, sandboxed, proof-of-concept, or limited to prompts, skills, or benchmark scores will not qualify.
A qualifying announcement must describe the capability as currently achieved in an official capacity. Statements that AI is assisting, accelerating, or writing code for the company's research, statements of future plans or expectations, speculation, interviewer characterizations, leaks, model outputs, and third-party claims will not qualify. A public release, a named model, a technical demonstration, and independent verification are not required.
The primary resolution source for this market will be official information from OpenAI and Anthropic and/or their official representatives; however, a consensus of credible reporting may also be used.
Risolutore
0x65070BE91...OpenAI holds a slight edge in trader-implied odds for first announcing recursive self-improvement because its internal metrics and model releases show more aggressive progress toward automated AI research pipelines. Recent updates highlight OpenAI’s RSI Index benchmark on GPT-5.6 variants, agent-driven experiment design, and researcher statements positioning the lab ahead on autonomous coding and training loops, with GPT-6 Astra training reportedly prioritizing self-improvement capabilities. Anthropic has published detailed data on Claude authoring over 80% of merged code and leading 26% of R&D tasks by August 2026, yet frames these as collaborative rather than fully autonomous milestones and has called for industry slowdowns. Both labs stress that complete, human-independent successor design remains unrealized, keeping the outcome sensitive to the next verified demonstration of closed-loop autonomy.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato

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