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Fausto
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Yes. There's a difference between:
1. AI is human-level at everything we have great training data on and can easily verify success / failure on. [But can't learn in the real world, needs enormous data, can't generalize beyond training set, etc..]
&
2. AI can figure out novel problems like humans can, on as little data.
We have 1 or something fairly close to it. It's incredible. It's valuable. It's changing the world. We still haven't absorbed what we have. It's not AGI.
We don't yet have 2. That's AGI, or at least much closer to it.
François Chollet@fchollet
Human-level general intelligence is achieved when an AI system can approach a new task and figure it out, without human intervention, *with the same learning efficiency as humans*. If every new task requires human intervention, it's not general. If every new task requires brute-forcing, it's not human-level.
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A bespoke software revolution? I don't buy it.
It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways.
Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo...
Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all.
So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design.
They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job.
Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before.
Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.
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eu nunca tinha ouvido o professor Clóvis contar essa história, mas acredito que se passou exatamente desse jeito por causa de uma experiência que eu tive.
Claudio Sem Acento@claudiopedrosa8
11 minutos e garanto que você não vai querer parar de assistir. É simplesmente algo maravilhoso.
Português

@andreeler História animal! Obrigado por compartilhar. Também não conhecia.
Português
Fausto retweetledi
Fausto retweetledi
Fausto retweetledi

"Admitting What Is Obvious" by @danshipper is a banger ... needed to read this today
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Future of computing:
This keyboad + a microphone
matt rothenberg@mattrothenberg
just picked up this bad boy. can't wait to write some software with it
English

@coproduto @fmagranero @MorenoMarceloR @BolhaDevs @enrichthesoil @ocodista farei meus testes em breve tb então... valeu pelo incentivo!
Português

@fausto_st @fmagranero @MorenoMarceloR @BolhaDevs @enrichthesoil @ocodista Pode, pode inclusive trocar pra tarefas diferentes ou usar algo tipo OpenRouter
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