@martinvars Mexico needs to go hard right. If they had the economic vision of Milei and the guts of Bukele to just throw all the cartel in jail, that country could be heaven on Earth.
@Smiles4Wizards@PalmerLuckey@SarkaryShahvir However, once you have humanoid robots you can make them create the components as well which brings costs down to raw materials only and energy use of the robot. At this point you are in the $500 to $1000 cost per unit.
@Smiles4Wizards@PalmerLuckey@SarkaryShahvir This is where it gets interesting. If you look at them as components: about $40000. Highest cost is actuators because there are very few suppliers globally. If you bring this in-house costs go down to $20000 per unit. 1/2
@burkov 3 because my colleagues would not budge from their respective 2 and 4 space stance, so we had to compromise. Everyone is equally sad now. Compromise is beautiful.
@orsonscottcard This is exactly how I feel about Asimov's writing style. It’s what made it so accessible for me when I read his books in my early teens. Your style is very accessible too @orsonscottcard !
RL is not all you need, nor attention nor Bayesianism nor free energy minimisation, nor an age of first person experience. Such statements are propaganda.
You need thousands of people working hard on data pipelines, scaling infrastructure, HPC, apps with feedback to drive benchmarks and data, tons of research and engineering on generative models, data mixtures, ablations, RL/selftraining, etc etc and we will probably need lots of people working hard to figure out safety, causal world models, awareness, models that create abstractions comparable to infinity and zero and use these to predict the existence of things like black holes and suggest experiments to verify such hypothesis, or come up with novel engineering designs to generate energy more efficiently, robotics, etc etc.
It takes thousands of people and many ideas. In the end some simple ideas might become obvious but such obviousness only happens in retrospect. Yes, there is a bitter lesson but if we had followed it, we’d still be doing linear regression with RL. Let’s not oversimplify, but rather honour the research and engineering of thousands of people.
Also, people keep rewriting history. When our language understanding start up (darkbluelabs) was acquired by Google about 10 years ago, we joined DeepMind, where the AGI documents were all about concepts, RL, episodic memories and made it clear that there was no room for language. To be honest, back then such a position wasn’t so crazy. Now it seems silly, but only because of the benefit of hindsight.
There’s no 1 or 10 heroes in the history of AI. There’s many 1000s of hard working students, profs, engineers, operations and support people, product folks, managers, even hedge funds among others. Let’s honour the whole community and not just ceos or the philosophers of Bayes, RL, deep learning, etc. I look forward to learning from the next generation and seeing what they will achieve. To them: Don’t buy the existing narratives blindly, innovate. Remember that just like mathematics, AI will advance one grave at the time.