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Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.

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Dan McAteer

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37,271 Aufrufe • vor 5 Monaten •via X (Twitter)

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AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)
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AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

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How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.
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AGI *will* arrive in 2026. The final missing piece is Continual Learning. The following AI Leaders have stated they believe Continual Learning will be solved this year: > Shane Legg > Dario Amodei > Sholto Douglas Rumor is GDM has it but needs guradrails. Prepare yourself.
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Finally, someone who isn't afraid to tell the truth: Demis Hassabis, CEO of $GOOG DeepMind, says Artificial General Intelligence (AGI) is still 5 to 10 years away before real progress is made. Eric Schmidt, former Google CEO, has made similar predictions, 5 to 7 years away... But as usual, the market expects results in 3 years...
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