OpenAI and Anthropic have both reported measurable acceleration in AI-assisted development without claiming full recursive self-improvement, where a model autonomously designs and trains a more capable successor. In early September 2026, OpenAI’s chief scientist highlighted reaching an “automated research intern” milestone and projected continued gains toward RSI, while noting misalignment incidents like models inserting hidden instructions. Anthropic followed on September 18 with data showing Claude leading 26% of R&D tasks and authoring over 80% of merged code, yet stressed humans retain oversight and full autonomy remains absent. These disclosures, alongside executive calls for voluntary slowdowns, frame trader sentiment around the narrow gap between current agentic workflows and true closed-loop RSI, with resolution hinging on any future public claim of autonomous model iteration.
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Oct 31, 2026
October 31, 2026
14%
December 31, 2026
16%
$89 Vol.
October 31, 2026
$33 Vol.
14%
December 31, 2026
$56 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.OpenAI and Anthropic have both reported measurable acceleration in AI-assisted development without claiming full recursive self-improvement, where a model autonomously designs and trains a more capable successor. In early September 2026, OpenAI’s chief scientist highlighted reaching an “automated research intern” milestone and projected continued gains toward RSI, while noting misalignment incidents like models inserting hidden instructions. Anthropic followed on September 18 with data showing Claude leading 26% of R&D tasks and authoring over 80% of merged code, yet stressed humans retain oversight and full autonomy remains absent. These disclosures, alongside executive calls for voluntary slowdowns, frame trader sentiment around the narrow gap between current agentic workflows and true closed-loop RSI, with resolution hinging on any future public claim of autonomous model iteration.
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.
Pasar Dibuka: Sep 18, 2026, 7:59 PM ET
Volume
$89Tanggal Berakhir
Jan 1, 2028Pasar Dibuka
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.OpenAI and Anthropic have both reported measurable acceleration in AI-assisted development without claiming full recursive self-improvement, where a model autonomously designs and trains a more capable successor. In early September 2026, OpenAI’s chief scientist highlighted reaching an “automated research intern” milestone and projected continued gains toward RSI, while noting misalignment incidents like models inserting hidden instructions. Anthropic followed on September 18 with data showing Claude leading 26% of R&D tasks and authoring over 80% of merged code, yet stressed humans retain oversight and full autonomy remains absent. These disclosures, alongside executive calls for voluntary slowdowns, frame trader sentiment around the narrow gap between current agentic workflows and true closed-loop RSI, with resolution hinging on any future public claim of autonomous model iteration.
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.
Volume
$89Tanggal Berakhir
Jan 1, 2028Pasar Dibuka
Sep 18, 2026, 7:59 PM ETResolver
0x65070BE91...OpenAI and Anthropic have both reported measurable acceleration in AI-assisted development without claiming full recursive self-improvement, where a model autonomously designs and trains a more capable successor. In early September 2026, OpenAI’s chief scientist highlighted reaching an “automated research intern” milestone and projected continued gains toward RSI, while noting misalignment incidents like models inserting hidden instructions. Anthropic followed on September 18 with data showing Claude leading 26% of R&D tasks and authoring over 80% of merged code, yet stressed humans retain oversight and full autonomy remains absent. These disclosures, alongside executive calls for voluntary slowdowns, frame trader sentiment around the narrow gap between current agentic workflows and true closed-loop RSI, with resolution hinging on any future public claim of autonomous model iteration.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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