Not necessarily cost cutting, just streamlining and focusing on a few core products that can make money. ChatGPT has leveraged its writing style into a product that many consumers choose for their basic AI needs. The company is using information picked up in those chats to personalize the outputs, build trust, and most importantly raise switching costs as the users won't want to lose their personalized helper and confidant.
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.
Robotics are generally layered systems with lower latency/realtime systems running literally on the servos and other embedded hardware that use servo feedback and direct sensor access to operate, then building up complexity with tiers of increasing policy, usually all capable of working without the higher order layers which can inject desired states into lower order rings.
Saved the NVIDIA paper below for reading material, but if I had to guess just as a SWE how I would do it: use hierarchal thinking.
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.
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.
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. 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.