I can't wait to become completely useless and to finish my life under a bridge begging for food. On a more technical point of few I'm always surprised to read these articles and never read the work reasoning
Probably have a really fulfilling life.
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I can't wait to become completely useless and to finish my life under a bridge begging for food. On a more technical point of few I'm always surprised to read these articles and never read the work reasoning
Probably have a really fulfilling life.
This paragraph took me aback: But if I just look at it and say, if 10 years from now, we have ‘universal remote employees’ that are artificial general intelligences, run on clouds, and people can just dial up and say, ‘I want five Franks today and 10 Amys, and we’re going to deploy them on these jobs,’ and you could just spin up like you can cloud-access computing resources, if you could cloud-access essentially arti…
As soon as we reach real AI, even at the level of a 5 years old, it is game over. So education or not education people will become completely useless to the rich that will own the AI
Earlier quoted context omitted.
Came here to say the same thing, but a few off the top of my head - attention is all you need - image is worth 16x16 words (vit) - openai clip - transformer XL - memorizing transformers / retro - language models are few shot learners (gpt) A few newer papers - recurrent block wise transformers - mobilevit (conv + transformer) - star (self taught transformer)
Most of these papers you list are about the model, and there is the original Transformer paper, and most of the others are some variations of the Transformer. I think to get into the field, to get a good overview, you should also look a bit beyond the Transformer. E.g. RNNs/LSTMs are still a must learn, even though Transformers might be better in many tasks. And then all those memory-augmented models, e.g. Neural Tur…
I stopped reading after the passage “and works independently [to achieve AGI]”. In my book, it’s impossible to achieve such breakthrough by working alone, regardless who the man/woman is.
Another fascinating opportunity for AGI - no sole contributor is all on their own, they can just spin up a community to embed into.
This paragraph took me aback: But if I just look at it and say, if 10 years from now, we have ‘universal remote employees’ that are artificial general intelligences, run on clouds, and people can just dial up and say, ‘I want five Franks today and 10 Amys, and we’re going to deploy them on these jobs,’ and you could just spin up like you can cloud-access computing resources, if you could cloud-access essentially arti…
I think AI will mostly communicate with other AI. For instance you have an AI assistant whom you task to organize a diner. That assistant will then talk to the assistants of all invitees, the assistant of the venue, the cooks, etcetera, and fill in the calendars.
This paragraph took me aback: But if I just look at it and say, if 10 years from now, we have ‘universal remote employees’ that are artificial general intelligences, run on clouds, and people can just dial up and say, ‘I want five Franks today and 10 Amys, and we’re going to deploy them on these jobs,’ and you could just spin up like you can cloud-access computing resources, if you could cloud-access essentially arti…
Legitimately think that if you haven’t secured yourself financially in the next 5-8 years, its going to be a rough ride.
Fun interview but barely any meat for those in the field. Just very general questions and answers, saying that the road is murky, but nothing about e.g. if Transformers / attention are the way to go forward, multi-modal models, reinforcement learning + self-supervised learning.
Yep. Does it ever get around to answering the question implicit in the title: what is it that he is going to do "different" to the rest? Seems more like he's talking to and following up with Altman, "Y Combinator conference" and the rest. Is that "bucking the trend", taking your own "path", really?
Fun interview but barely any meat for those in the field. Just very general questions and answers, saying that the road is murky, but nothing about e.g. if Transformers / attention are the way to go forward, multi-modal models, reinforcement learning + self-supervised learning.
Yep. Does it ever get around to answering the question implicit in the title: what is it that he is going to do "different" to the rest? Seems more like he's talking to and following up with Altman, "Y Combinator conference" and the rest. Is that "bucking the trend", taking your own "path", really?
Earlier quoted context omitted.
My take on this is that if anyone can learn a particular skill entirely from an AI, then it's not a skill you'd be able to monetize. And I really have no idea what, if any, are skills that AIs wouldn't be able to tackle in a decade.
People can learn skills from books, which are entirely passive. The learning process ultimately resides within the student; issues of motivation, morale, direction, diligence, discipline, time, and mental health matter a lot more than just going through some material.
To clarify, I'd define a major component of effective teaching to be the ability to break down an arbitrary typical problem in that domain into sub-problems and heuristics that are "simple" enough to manage for someone without that skill. If an AI can do that, it can most likely effectively perform the task itself (which cannot be said for a book).