p1esk
p1esk on Hacker News
Why did he believe what he claimed? Did he have any arguments to back it up?
what might be useful to you (e.g. coding) might be completely useless to 99% of the people
how are you going to afford a house when you're competing against $3.00 hr labor?You rent a couple of robots who will build it for you for $3/hr.
And yet the best learning algorithm we have is derivative-free!
It must have had shifted already by 96-97. I remember how I used it in AI discussions back then and it meant “the opposite of narrow AI”, which makes it very similar to how we use “AGI” term today. Consciousness was considered to be a potentially emergent phenomenon, not a required property.
We called it “strong AI” in the 90s
People want to produce hbm because it’s more expensive and more profitable than regular memory.
theres very little danger of anyone letting it go without a purposeWe literally just saw how OpenAI’s model got out and hacked HuggingFace
We have nuclear reactors, helicopters, and self driving cars already. And we finally have powerful AI that we could only dream about just 5 years ago.
We now have everything we need to scale up humanoid robot training: algorithms, hardware, and money to buy a lot of training data/compute. Fierce competition and strong economic motivation will force rapid progress in this field.
Meanwhile in the real world hundreds of billions are being invested into humanoid robot development. In 2-3 years my Optimus 4 will do all the gardening and plumbing I need.
It’s very far from Fable on benchmarks that matter, like TB4.
Astra is 58%. The current title says it's "rivaling Astra"
I’ve never played against a grandmaster, but I have a feeling that he/she would play very different compared to me and would never make mistakes I could notice. Though admittedly I’m not very good at chess.
They said they will automate AI researchers by March 2028. I personally think it will happen by March 2027.
Could you tell the difference between a grandmaster and stockfish if playing them online? If not, why would you care which one you are playing against?
I've hired many AI research interns (and was one many years ago), and I agree with them - frontier models are currently at the level of an "average" AI research intern.
I'm currently running two 24/7 semi-autonomous AI research projects using Fable 5.1. It's on track to burn through my weekly quota in about 3 days. I check progress in the morning and in the evening, and provide some light steering.
What has all this token burn done for them, actually?They have been consistently pushing AI frontier. What other impact do you want to see? A year ago they said that in a year they will have a level of capabilities of an AI research intern - I believe they have achieved it, even before Astra.
Interesting, you think a random educated person would beat Astra on Vending-Bench 2? Honestly I would not make that bet, I think it would be 50/50.
Ok, but a random educated person will not perform well on vast majority of specialized tasks where professionals operate. A model like Astra probably will beat random educated person performance on majority of specialized tasks. It’s getting close to the level of professionals in many domains, and to genius level on some (e.g. math).
I’m just trying to understand the implications of the current frontier model capabilities.
Sorry, I don’t know what this means when applied to intelligence
capability to match or surpass human intelligence across all conceivable cognitive tasksWhat human intelligence do you mean? Genius? Professional? Educated? Random person? “Dumb” person?
Because it's their job to enforce rules. Don't like the rule? Go vote for someone who will change it.
I have no idea what "free society" means. Honestly.
The main lesson here is: don’t be confrontational with cops.
Our brain consists of approximately 86 billions quantum computers [2] controlling tens-of-thousands chemical neural networks with at least 10 coefficientsBy that logic, a Blackwell GPU contains 208 billion quantum computers.
Each transistor is a quantum mechanical system and takes hundreds of model parameters to describe. So apparently a GPU is a 208-billion-node quantum supercomputer.
Kurzweil predicted in the late 90s that we will have AGI by 2029. And ASI by 2045. Seems very likely to me.
Meanwhile Google still hasn't released Gemini Pro 3.5
As a professional mathematician, if you’re not advancing your subfield of research consistently you are mediocre.