HUMANS AND AI CRACK A 180-YEAR-OLD FLUID MYSTERY ๐จ๐๐
Mathematician Tristan Buckmaster and researcher Levent Alpรถge just achieved a historic scientific breakthrough. ๐ They proved that standard math formulas for moving water and air can fail and crash when pushed by smooth swirls. ๐งฎ
This brings science closer to solving Navier-Stokes, one of the seven hardest unsolved math problems in history with a $1M prize. ๐๏ธ๐ฐ
Why does fluid math matter? โ๏ธ About 180 years ago, scientists wrote math formulas to predict how water and wind move. Engineers use them to design planes, doctors use them to study blood flow, and forecasters use them to track storms. ๐ช๏ธ For nearly 200 years, nobody knew if these formulas could crash under extreme turbulence. โ๏ธ
The researchers proved that tiny ripples can multiply until a swirl becomes infinitely sharp, breaking traditional physics rules. ๐ Top mathematician Terence Tao called this a remarkable achievement opening a real path to solving the mystery. ๐ โจ
This is one of the best examples of human and AI teamwork. ๐ค Mathematicians provided the strategy, while AI models helped test steps, finishing decades of research in just one month. โณ๐ป The proof was verified with 100% precision by computer software called Lean. ๐
Behind the scenes, a battle over credit broke out. ๐ช Buckmaster published a 4-page letter claiming OpenAI pressured him to take credit for an internal paper and drop his co-author over ties to Anthropic, refusing to say if they trained on his private notes. ๐โ ๏ธ Sebastien Bubeck from OpenAI denied the claims, calling them false. ๐ฃ๏ธ
can human and AI teams solve every science mystery? ๐
#AI #OpenAI #TechNews #Science #Innovation
Mathematician Tristan Buckmaster and researcher Levent Alpรถge just achieved a historic scientific breakthrough. ๐ They proved that standard math formulas for moving water and air can fail and crash when pushed by smooth swirls. ๐งฎ
This brings science closer to solving Navier-Stokes, one of the seven hardest unsolved math problems in history with a $1M prize. ๐๏ธ๐ฐ
Why does fluid math matter? โ๏ธ About 180 years ago, scientists wrote math formulas to predict how water and wind move. Engineers use them to design planes, doctors use them to study blood flow, and forecasters use them to track storms. ๐ช๏ธ For nearly 200 years, nobody knew if these formulas could crash under extreme turbulence. โ๏ธ
The researchers proved that tiny ripples can multiply until a swirl becomes infinitely sharp, breaking traditional physics rules. ๐ Top mathematician Terence Tao called this a remarkable achievement opening a real path to solving the mystery. ๐ โจ
This is one of the best examples of human and AI teamwork. ๐ค Mathematicians provided the strategy, while AI models helped test steps, finishing decades of research in just one month. โณ๐ป The proof was verified with 100% precision by computer software called Lean. ๐
Behind the scenes, a battle over credit broke out. ๐ช Buckmaster published a 4-page letter claiming OpenAI pressured him to take credit for an internal paper and drop his co-author over ties to Anthropic, refusing to say if they trained on his private notes. ๐โ ๏ธ Sebastien Bubeck from OpenAI denied the claims, calling them false. ๐ฃ๏ธ
can human and AI teams solve every science mystery? ๐
#AI #OpenAI #TechNews #Science #Innovation
