Koreatimes iconKoreatimesOct 1, 2026 ~1 min source read

The AI folks don't seem to understand intelligence

Project that trend forward and you see why OpenAI Chief Executive Officer Sam Altman thinks artificial intelligence (AI) will cure all diseases -- and why people are afraid that a rogue AI might harm humanity. Santa Fe Institute scientists Melanie Mitchell and David Krakauer described AI's mantra as "Scale is all you need." What that means is the bigger the training sets and the more computer you have, the better AI becomes.

The AI folks don't seem to understand intelligence

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Project that trend forward and you see why OpenAI Chief Executive Officer Sam Altman thinks artificial intelligence (AI) will cure all diseases -- and why people are afraid that a rogue AI might harm humanity.

Anthropic PBC says Claude, its AI model, already writes more than 80 percent of the code its engineers merge.

Just three years after OpenAI said its models were good at grade-school math, the company announced they had solved the Navier-Stokes Millennium Prize problem in 88 hours, something that had stumped...

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The useful part

Project that trend forward and you see why OpenAI Chief Executive Officer Sam Altman thinks artificial intelligence (AI) will cure all diseases -- and why people are afraid that a rogue AI might harm humanity. Santa Fe Institute scientists Melanie Mitchell and David Krakauer described AI's mantra as "Scale is all you need." What that means is the bigger the training sets and the more computer you have, the better AI becomes. Altman's vision of AI's exponential growth curve, and the related hopes and fears, are similarly driven by an unspoken assumption that intelligence is all you need.

How it works

  • Anthropic PBC says Claude, its AI model, already writes more than 80 percent of the code its engineers merge.

What to take from it

Just three years after OpenAI said its models were good at grade-school math, the company announced they had solved the Navier-Stokes Millennium Prize problem in 88 hours, something that had stumped humanity's greatest mathematical minds since the 1930s.

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