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Anthropic AI ‘formalizes’ proof of Fermat’s last theorem in just 11 days
United Kingdom🔬 ScienceProgressiveOverlooked by conservatives8 days ago

Anthropic AI ‘formalizes’ proof of Fermat’s last theorem in just 11 days

A team led by Anthropic AI used an advanced AI system to formally verify the proof of Fermat’s Last Theorem in just 11 days, a task previously thought to take humans 10 years. The achievement marks a major advancement in AI’s ability to translate complex mathematical proofs into computer-verifiable code. Mathematicians expressed astonishment at the speed and complexity of the accomplishment, noting that the formalization of Fermat’s Last Theorem represents a significant leap compared to previous AI milestones, such as verifying sphere-packing research. The process involved converting Andrew Wiles' 1994 proof, considered one of the greatest mathematical achievements of the 20th century, into a 13-million-line formal proof using the Lean programming language. Experts suggest this development highlights AI’s growing role in both verifying and potentially advancing mathematical research.

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3 reports

openDemocracy logoopenDemocracyIndependentProgressive8 days ago
Frontier Politics: AI and the Crisis of the Democratic Form

The article discusses the growing influence of technologists working within private companies like OpenAI and Anthropic, who are shaping the future through AI development. These entities operate with significant financial backing, making their potential collapse a major societal risk. The piece argues that current democratic systems remain outdated, operating in an analog format while the technological landscape evolves rapidly. It highlights the need for institutional reform aligned with AI capabilities, suggesting that political and civil society actors must lead this transformation rather than technologists. The author critiques figures like Sam Altman and Dario Amodei for lacking the vision to address democratic challenges posed by AI, emphasizing that true progress requires collaboration between technologists and democratic institutions.

Bias read (Progressive): The article frames the issue as a conflict between technologists (often associated with corporate interests) and democratic institutions, implying that the latter must take leadership in reimagining governance structures. It criticizes technologists for lacking the necessary political vision and for

Financial Times logoFinancial TimesIndependent🔒Center11 days ago
Anthropic and OpenAI bankers push for top-tier credit ratings post-IPO

The article discusses efforts by bankers associated with Anthropic and OpenAI to secure top-tier credit ratings following their initial public offerings (IPOs). These credit ratings are crucial for establishing financial credibility and attracting investors. The focus is on the strategic importance of obtaining high ratings to support future fundraising and market confidence. The article highlights the role of financial institutions in shaping the creditworthiness perception of these emerging AI companies.

Bias read (Center): The article focuses on business strategies related to credit ratings and IPOs, which are not inherently politically charged. There is no indication of biased framing, loaded language, or one-sided sourcing. The content remains neutral and factual.

Nature News logoNature NewsIndependentCenter12 days ago
Anthropic AI ‘formalizes’ proof of Fermat’s last theorem in just 11 days

A team led by Anthropic AI used an advanced AI system to formally verify the proof of Fermat’s Last Theorem in just 11 days, a task previously thought to take humans 10 years. The achievement marks a major advancement in AI’s ability to translate complex mathematical proofs into computer-verifiable code. Mathematicians expressed astonishment at the speed and complexity of the accomplishment, noting that the formalization of Fermat’s Last Theorem represents a significant leap compared to previous AI milestones, such as verifying sphere-packing research. The process involved converting Andrew Wiles' 1994 proof, considered one of the greatest mathematical achievements of the 20th century, into a 13-million-line formal proof using the Lean programming language. Experts suggest this development highlights AI’s growing role in both verifying and potentially advancing mathematical research.

Bias read (Center): The article discusses a scientific achievement involving AI and mathematics, with no direct reference to politics, policy, or public figures. It focuses on technical advancements and expert reactions, presenting information objectively without apparent ideological framing.

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