(fortune.com)
Motion controllers are pretty impressive these days. PWM generation is too time critical to leave to high level processors, usually this is done in hardware if you want it to be guaranteed glitch free but there are also 'bit banging' servo controllers out there.
We've gotten to slightly a frame behind for the models I'm using to play video games - 36ms to get the next action.
The idea is probably not have a frontier model doing this, but to make a frontier model build these out of its own brain (well, directly edit the weights instead of RL tuning).
My team did call these sort of slices of a main brain a "Reflex agent" in similar fashion, since they do not reason only respond.
Reminder frontier labs are 6 months ahead of public models internally, if not more
Most robots do run where there is internet aka a datacenter right next to them. Otherwise sure, a fable class model is not the right way for making a robot walk forward. But to analyze periodically the state of it - maybe.
If it is true that eventually a general approach that scales with compute/data will supersede a bespoke expert solution, it is not necessarily true that today's expert solution should be thrown away at the first sign of a data-driven model.
It says nothing about what you should use today to build things, it says everything about how you should do research that lasts.
If you're building for billions of users in 10 years, sure go with whatever you think is the bitterest.
But if you're building for right now, you probably mashup whatever works best. That might still be a PID loop, EKF, and Homographies sometimes. But when you hit the frontier of what "works", then you have to reach for new things anyway.
Chesterton's baby/bathwater
WRT humanoids - I am making no statements.
That fact does not imply that a person in Boston in the year 1850 should wait until commercial flight was available to travel to California.
So the fact that we will eventually have simpler/more efficient algorithms doesn’t tell us anything about what to do today.
Right! So who are you arguing with lol?
Like, news about internal reorgs at one company that could plausibly be done for any number of boring, bean-counting reasons.
From the article it seems more likely OpenAI just isn't prioritizing robotics anymore. Which seems to fit better than abandoning their booth at a robotics expo because "robotics = solved".
The change came recently enough that OpenAI had already registered a booth at CoRL, a top academic robotics conference in Austin, this week. Though the conference app and floor plan marked OpenAI’s spot, when Fortune visited booth #208, it sat empty with OpenAI’s logo nowhere to be seen.You can render graphics with the fastest CPU you can find if you like, I'll keep my dedicated GPU
I'm already seeing some of my family members use ChatGPT in this way, even going so far as enjoying some level of companionship during research and decisions in their lives. I believe this product will have fantastic pricing power and can make the ChatGPT IPO look very attractive.
I’d also create a throwaway account if I was going to say something this cringe.
I suspect a major use of AI will be providing companionship to the lonely, and emotional support, and lots of similar things. Look at r/myboyfriendisai Look at reports of people using it as therapy.
The go and read The Machine Stops by EM Forster.
But I suspect that this will be one of those regulations written in blood.
At the top sits a SOTA model capable of seeing snapshots of what's happening and directing intent. Then smaller, more reactive models translate the intent down into actions, before coming to a purely deterministic layer that handles inverse kinematics.
Sorta like how I control my body. I usually don't think about my fingers going to every key as I type - I know what I want to type, then that signal goes to some autonomous "using a keyboard" system, which invokes my muscle memory, which actually moves my muscles.
And if I get burned while I do something, my actual thinking brain doesn't really have time to process it before I'm already moving away; because those smaller systems have much faster - but more rudimentary - feedback loops.
AI is eating AI now. The value of code has collapsed, while the value of the software industry overall has not increased. Could AI be the snake that eats its own tail in the long-term?
Now your part of snake eating it's own tail makes little sense, AI isn't going away, only bad business models.