#numbertheory — Public Fediverse posts

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #AI #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #AI #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #AI #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #AI #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #AI #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

I prefer ChatGPT for site/app/visual/media. But i prefer Claude for reports: Pedagogical report for Graduate / researcher new to the decomposition into weight × level + jump in 8 pages ➡️ https://decompwlj.com/weight-level-jump-in-eight-pages.html

#decompwlj #math #NumberTheory #numbers #sieve #Claude #Anthropic #Opus5

GTP-6 Astra: pedagogical report for Graduate / researcher new to the decompwlj: from Gaps to Divisor Geometry
https://decompwlj.com/GPT_Astra_decompwlj_graduate_report_2026-09-11.html

#decompwlj #math #NumberTheory #AI #report #PrimeNumbers #GPT6 #Astra

GTP-6 Astra: pedagogical report for Graduate / researcher new to the decompwlj: from Gaps to Divisor Geometry
https://decompwlj.com/GPT_Astra_decompwlj_graduate_report_2026-09-11.html

#decompwlj #math #NumberTheory #AI #report #PrimeNumbers #GPT6 #Astra

GTP-6 Astra: pedagogical report for Graduate / researcher new to the decompwlj: from Gaps to Divisor Geometry
https://decompwlj.com/GPT_Astra_decompwlj_graduate_report_2026-09-11.html

#decompwlj #math #NumberTheory #AI #report #PrimeNumbers #GPT6 #Astra

GTP-6 Astra: pedagogical report for Graduate / researcher new to the decompwlj: from Gaps to Divisor Geometry
https://decompwlj.com/GPT_Astra_decompwlj_graduate_report_2026-09-11.html

#decompwlj #math #NumberTheory #AI #report #PrimeNumbers #GPT6 #Astra

GTP-6 Astra: pedagogical report for Graduate / researcher new to the decompwlj: from Gaps to Divisor Geometry
https://decompwlj.com/GPT_Astra_decompwlj_graduate_report_2026-09-11.html

#decompwlj #math #NumberTheory #AI #report #PrimeNumbers #GPT6 #Astra

🎩 Ah yes, the ancient art of number #wizardry where one ponders the sheer magnitude of 52! #factorial, as if anyone without a PhD in #math and a love affair with calculators would care. 🧙‍♂️ Apparently, Eli has cracked the code to estimating factorial sizes, ensuring that no one will ever have to endure the terror of large numbers without guidance. 📜 Too bad nobody asked.
https://eli.thegreenplace.net/2026/how-big-are-factorials/ #numbertheory #calculation #HackerNews #ngated

🎩 Ah yes, the ancient art of number #wizardry where one ponders the sheer magnitude of 52! #factorial, as if anyone without a PhD in #math and a love affair with calculators would care. 🧙‍♂️ Apparently, Eli has cracked the code to estimating factorial sizes, ensuring that no one will ever have to endure the terror of large numbers without guidance. 📜 Too bad nobody asked.
https://eli.thegreenplace.net/2026/how-big-are-factorials/ #numbertheory #calculation #HackerNews #ngated

🎩 Ah yes, the ancient art of number #wizardry where one ponders the sheer magnitude of 52! #factorial, as if anyone without a PhD in #math and a love affair with calculators would care. 🧙‍♂️ Apparently, Eli has cracked the code to estimating factorial sizes, ensuring that no one will ever have to endure the terror of large numbers without guidance. 📜 Too bad nobody asked.
https://eli.thegreenplace.net/2026/how-big-are-factorials/ #numbertheory #calculation #HackerNews #ngated

🎩 Ah yes, the ancient art of number #wizardry where one ponders the sheer magnitude of 52! #factorial, as if anyone without a PhD in #math and a love affair with calculators would care. 🧙‍♂️ Apparently, Eli has cracked the code to estimating factorial sizes, ensuring that no one will ever have to endure the terror of large numbers without guidance. 📜 Too bad nobody asked.
https://eli.thegreenplace.net/2026/how-big-are-factorials/ #numbertheory #calculation #HackerNews #ngated

🎩 Ah yes, the ancient art of number #wizardry where one ponders the sheer magnitude of 52! #factorial, as if anyone without a PhD in #math and a love affair with calculators would care. 🧙‍♂️ Apparently, Eli has cracked the code to estimating factorial sizes, ensuring that no one will ever have to endure the terror of large numbers without guidance. 📜 Too bad nobody asked.
https://eli.thegreenplace.net/2026/how-big-are-factorials/ #numbertheory #calculation #HackerNews #ngated

"wlj atlas" has a new home ➡️ https://decompwlj.org
- 100 sequences decomposed with 3D/2D three.js graphs.
- Cinema: fullscreen, slow rotation.
- Compare: two sequences with linked cameras.

#decompwlj #math #NumberTheory #sequence #graph #threejs #3D #AI #ChatGPT #GPT6 #Astra

"wlj atlas" has a new home ➡️ https://decompwlj.org
- 100 sequences decomposed with 3D/2D three.js graphs.
- Cinema: fullscreen, slow rotation.
- Compare: two sequences with linked cameras.

#decompwlj #math #NumberTheory #sequence #graph #threejs #3D #AI #ChatGPT #GPT6 #Astra

"wlj atlas" has a new home ➡️ https://decompwlj.org
- 100 sequences decomposed with 3D/2D three.js graphs.
- Cinema: fullscreen, slow rotation.
- Compare: two sequences with linked cameras.

#decompwlj #math #NumberTheory #sequence #graph #threejs #3D #AI #ChatGPT #GPT6 #Astra

"wlj atlas" has a new home ➡️ https://decompwlj.org
- 100 sequences decomposed with 3D/2D three.js graphs.
- Cinema: fullscreen, slow rotation.
- Compare: two sequences with linked cameras.

#decompwlj #math #NumberTheory #sequence #graph #threejs #3D #AI #ChatGPT #GPT6 #Astra

"wlj atlas" has a new home ➡️ https://decompwlj.org
- 100 sequences decomposed with 3D/2D three.js graphs.
- Cinema: fullscreen, slow rotation.
- Compare: two sequences with linked cameras.

#decompwlj #math #NumberTheory #sequence #graph #threejs #3D #AI #ChatGPT #GPT6 #Astra

On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model, one not available to the public, had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific, itinerant Hungarian mathematician. Erdős posed thousands of questions, but this one was special: It was both simple to explain and mathematically deep. It was the first historically significant proof to come from an AI model. Though the model’s result wasn’t definitive, human mathematicians would substantially improve on it within weeks, it was innovative, bringing in ideas from a distant branch of math that no one had successfully applied to this problem before. And it was influential: Within a few days, related techniques were used to solve other important problems. Then on August 1, OpenAI announced that an unreleased model named Astra made 10 additional mathematical advances, including finding solutions to three more problems posed by Erdős. Many mathematicians have hailed developments such as these as a phase transition in the mathematical capability of AI models. These models are “changing dramatically the way mathematical research is being done,” said Noga Alon of Princeton University, who has solved dozens of Erdős problems over his decades-long career.

https://www.quantamagazine.org/why-the-legendary-erdos-problems-are-falling-to-ai-20260803

#AI #Erdős #Erdos #ErdősProblems #PaulErdős #OpenAI #Revolution #ArtificialIntelligence #QuantaMagazine #Maths #Math #NumberTheory #MathRevolution

On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model, one not available to the public, had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific, itinerant Hungarian mathematician. Erdős posed thousands of questions, but this one was special: It was both simple to explain and mathematically deep. It was the first historically significant proof to come from an AI model. Though the model’s result wasn’t definitive, human mathematicians would substantially improve on it within weeks, it was innovative, bringing in ideas from a distant branch of math that no one had successfully applied to this problem before. And it was influential: Within a few days, related techniques were used to solve other important problems. Then on August 1, OpenAI announced that an unreleased model named Astra made 10 additional mathematical advances, including finding solutions to three more problems posed by Erdős. Many mathematicians have hailed developments such as these as a phase transition in the mathematical capability of AI models. These models are “changing dramatically the way mathematical research is being done,” said Noga Alon of Princeton University, who has solved dozens of Erdős problems over his decades-long career.

https://www.quantamagazine.org/why-the-legendary-erdos-problems-are-falling-to-ai-20260803

#AI #Erdős #Erdos #ErdősProblems #PaulErdős #OpenAI #Revolution #ArtificialIntelligence #QuantaMagazine #Maths #Math #NumberTheory #MathRevolution

On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model, one not available to the public, had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific, itinerant Hungarian mathematician. Erdős posed thousands of questions, but this one was special: It was both simple to explain and mathematically deep. It was the first historically significant proof to come from an AI model. Though the model’s result wasn’t definitive, human mathematicians would substantially improve on it within weeks, it was innovative, bringing in ideas from a distant branch of math that no one had successfully applied to this problem before. And it was influential: Within a few days, related techniques were used to solve other important problems. Then on August 1, OpenAI announced that an unreleased model named Astra made 10 additional mathematical advances, including finding solutions to three more problems posed by Erdős. Many mathematicians have hailed developments such as these as a phase transition in the mathematical capability of AI models. These models are “changing dramatically the way mathematical research is being done,” said Noga Alon of Princeton University, who has solved dozens of Erdős problems over his decades-long career.

https://www.quantamagazine.org/why-the-legendary-erdos-problems-are-falling-to-ai-20260803

#AI #Erdős #Erdos #ErdősProblems #PaulErdős #OpenAI #Revolution #ArtificialIntelligence #QuantaMagazine #Maths #Math #NumberTheory #MathRevolution

On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model, one not available to the public, had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific, itinerant Hungarian mathematician. Erdős posed thousands of questions, but this one was special: It was both simple to explain and mathematically deep. It was the first historically significant proof to come from an AI model. Though the model’s result wasn’t definitive, human mathematicians would substantially improve on it within weeks, it was innovative, bringing in ideas from a distant branch of math that no one had successfully applied to this problem before. And it was influential: Within a few days, related techniques were used to solve other important problems. Then on August 1, OpenAI announced that an unreleased model named Astra made 10 additional mathematical advances, including finding solutions to three more problems posed by Erdős. Many mathematicians have hailed developments such as these as a phase transition in the mathematical capability of AI models. These models are “changing dramatically the way mathematical research is being done,” said Noga Alon of Princeton University, who has solved dozens of Erdős problems over his decades-long career.

https://www.quantamagazine.org/why-the-legendary-erdos-problems-are-falling-to-ai-20260803

#AI #Erdős #Erdos #ErdősProblems #PaulErdős #OpenAI #Revolution #ArtificialIntelligence #QuantaMagazine #Maths #Math #NumberTheory #MathRevolution