Both OpenAI and Anthropic have accelerated AI-assisted research and coding loops without declaring full recursive self-improvement, where a large language model autonomously designs and trains its own successor. Anthropic’s June 2026 report detailed Claude authoring over 80% of merged code and delivering 8x engineer productivity gains since early 2025, while OpenAI’s September 6 announcement of an “automated research intern” milestone and internal RSI Index showed agents handling multi-day tasks under human oversight. Recent executive statements from Dario Amodei and Sam Altman highlight safety risks and call for pacing, amid researcher departures citing unchecked acceleration. Traders are watching Q4 2026 model updates and internal benchmarks for clearer signals of closed-loop autonomy.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoNUEVO
31 oct 2026
31 de octubre de 2026
10%
31 de diciembre de 2026
16%
$178 Vol.
31 de octubre de 2026
$116 Vol.
10%
31 de diciembre de 2026
$62 Vol.
16%
This market will resolve to "Yes" if OpenAI or Anthropic, or an official representative of either company, announces that the company has achieved recursive self-improvement by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No".
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 or their official representatives; however, a consensus of credible reporting may also be used.Both OpenAI and Anthropic have accelerated AI-assisted research and coding loops without declaring full recursive self-improvement, where a large language model autonomously designs and trains its own successor. Anthropic’s June 2026 report detailed Claude authoring over 80% of merged code and delivering 8x engineer productivity gains since early 2025, while OpenAI’s September 6 announcement of an “automated research intern” milestone and internal RSI Index showed agents handling multi-day tasks under human oversight. Recent executive statements from Dario Amodei and Sam Altman highlight safety risks and call for pacing, amid researcher departures citing unchecked acceleration. Traders are watching Q4 2026 model updates and internal benchmarks for clearer signals of closed-loop autonomy.
This market will resolve to "Yes" if OpenAI or Anthropic, or an official representative of either company, announces that the company has achieved recursive self-improvement by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No".
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 or their official representatives; however, a consensus of credible reporting may also be used.
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 or their official representatives; however, a consensus of credible reporting may also be used.
Mercado abierto: Sep 18, 2026, 7:59 PM ET
Volumen
$178Fecha de finalización
1 ene 2028Mercado abierto
Sep 18, 2026, 7:59 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if OpenAI or Anthropic, or an official representative of either company, announces that the company has achieved recursive self-improvement by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No".
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 or their official representatives; however, a consensus of credible reporting may also be used.Both OpenAI and Anthropic have accelerated AI-assisted research and coding loops without declaring full recursive self-improvement, where a large language model autonomously designs and trains its own successor. Anthropic’s June 2026 report detailed Claude authoring over 80% of merged code and delivering 8x engineer productivity gains since early 2025, while OpenAI’s September 6 announcement of an “automated research intern” milestone and internal RSI Index showed agents handling multi-day tasks under human oversight. Recent executive statements from Dario Amodei and Sam Altman highlight safety risks and call for pacing, amid researcher departures citing unchecked acceleration. Traders are watching Q4 2026 model updates and internal benchmarks for clearer signals of closed-loop autonomy.
This market will resolve to "Yes" if OpenAI or Anthropic, or an official representative of either company, announces that the company has achieved recursive self-improvement by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No".
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 or their official representatives; however, a consensus of credible reporting may also be used.
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 or their official representatives; however, a consensus of credible reporting may also be used.
Volumen
$178Fecha de finalización
1 ene 2028Mercado abierto
Sep 18, 2026, 7:59 PM ETResolver
0x65070BE91...Both OpenAI and Anthropic have accelerated AI-assisted research and coding loops without declaring full recursive self-improvement, where a large language model autonomously designs and trains its own successor. Anthropic’s June 2026 report detailed Claude authoring over 80% of merged code and delivering 8x engineer productivity gains since early 2025, while OpenAI’s September 6 announcement of an “automated research intern” milestone and internal RSI Index showed agents handling multi-day tasks under human oversight. Recent executive statements from Dario Amodei and Sam Altman highlight safety risks and call for pacing, amid researcher departures citing unchecked acceleration. Traders are watching Q4 2026 model updates and internal benchmarks for clearer signals of closed-loop autonomy.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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