AI & IA

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Pushmeet Kohli @pushmeet · 05:08
Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
6 relayeurs à 6 · il y a 4 min Voir sur X
Qui l'a repris
Ethan Mollick” E echo.hive Dr Singularity” elvis” B Benjamin De Kraker” Demis Hassabis
Ce qu'ils en ont dit
Ethan Mollick @emollick a cité · 05:08
It isn't that weird to think that "this time is different" - we had a couple of Industrial Revolutions over the past couple centuries, just because we got used to a relatively steady-state regime post World War Two with a regular pace of growth doesn't mean it continues forever.
Dr Singularity @Dr_Singularity a cité · 08/11 18:30
1000 scientific breakthroughs drop from Google incoming?
elvis @omarsar0 a cité · 08/11 17:08
Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery. It's an incredible time to be doing research. I will be
B
Benjamin De Kraker @BenjaminDEKR a cité · 08/11 15:15
What did he mean by this 👀
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Richard Sutton @RichardSSutton · 08/11 16:18
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
7 relayeurs à 7 · il y a 23 h Voir sur X
Qui l'a repris
Tommy” elvis” ℏεsam” Gary Marcus” cocktail peanut” Srini Pagidyala”
Ce qu'ils en ont dit
Tommy @Shaughnessy119 a cité · 08/11 16:18
I’ve been actively on the hunt for non LLM based AI models and I’ve invested into one already Looking for totally new designs
elvis @omarsar0 a cité · 08/11 01:26
1000% agree with Sutton here. Having worked in AI for over a decade (pre-LLMs), it's clear we need smarter methods for intelligence to truly compound in the way some of us envision it. To me, Transformers just scratched the surface. This arc is coming to an end; a new
ℏεsam @Hesamation a cité · 07/11 23:55
> “what happened to the bitter lesson?” people are genuinely trying to explain the bitter lesson to the guy who wrote it. it’s called the bitter lesson not the dumb lesson. the bitter lesson says general methods that scale with compute win in the long run. you still have to
Gary Marcus @GaryMarcus a cité · 07/11 23:32
what i have been saying for years maybe now people will listen?
cocktail peanut @cocktailpeanut a cité · 07/11 21:29
Srini Pagidyala @Srini_Pa a cité · 07/11 21:16
Human like learning does it. Implies understanding, concept formation, metacognition, self-directed, goal-oriented, persistent memory, contextual awareness, belief revision, dynamic world models are all part of it. That is Integrated Neuro Symbolic Architecture- INSA.