• Redefining enterprise intelligence with autonomous AI

    Redefining enterprise intelligence with autonomous AI
    Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year.For many enterprises, this investment has produced fragmentation. Intelligence can accumulate in silos so that sales agents are unaware of open support tickets, for instance, or marketing systems are pe
  • The Download: a biological de-aging contest and why LLMs don’t reason

    The Download: a biological de-aging contest and why LLMs don’t reason
    This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.A new contest pits competitors against each other in a race to biological youth—Jessica HamzelouThis week, I officially signed up for an unusual competition. One that rewards competitors for getting younger.I recently turned 40, and I don’t need reminding that both time and my chronological age only tick forward. But this game is focused
  • A new contest pits competitors against each other in a race to biological youth

    A new contest pits competitors against each other in a race to biological youth
    This week, I officially signed up for an unusual competition. One that rewards competitors for getting younger.I recently turned 40, and I don’t need reminding that both time and my chronological age only tick forward. But this game is focused on competitors’ biological ages—figures that are meant to provide a better way to measure the age-related health of our organs and bodies.Over a six-month period, around 500 of us will try to reverse our biological age as measured in a b
  • Don’t be fooled—LLMs don’t reason

    Don’t be fooled—LLMs don’t reason
    On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent. Move 37 in game two of the five-game match looked so absurd that some commentators thought it was a programming glitch. It wasn’t. AlphaGo won the game, ultimately triumphing 4-1 over Lee Sedol, one of the greatest professional Go players of all time. “I thought AlphaGo was based on probability calculation and that it
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