3 ms·

The main advantage of humans for now is interaction with the physical world, once that it is solved (near end of the year will start with Tesla bot and similar)

by rvnx 3y ago

The main advantage of humans for now is interaction with the physical world, once that it is solved (near end of the year will start with Tesla bot and similar), then it is going to make humans be less at an advantage. This way humans can fallback to their main activity: which is not art; because art has been taken by AI; but eating. At least eating is not something AI plans to do.

ardaoweo 3y ago
Have there actually been advances in robotics that could make them mainstream, or is the progress still painfully slow? I think robotics would be the next logical step after AI hype, but I'm having hard time figuring out which company will be the next Nvidia there.
- hlfshell 3y ago
  No one is there yet. We have made enormous jumps with transformer models (language models being integrated in the stack, and vision language models (VLM), and even vision language action models (VLA)). Pair this with recent advances in reinforcement learning and we can do things we couldn't do a few years ago; the whole space is fascinating! ...but we're nowhere near usable robotics in complex human environments for complex multistage tasks yet. It's an incredibly difficult problem where we still don't have the hardware, the software, or the sensors for it. The other thing to keep in mind is that since it's so expensive and difficult to do, there's no marketplace yet driving significant advances like we had with phones to hone in on such efficient amazing pieces of tech across the industry. I wrote a bit about where we're at with the research last year; it's a bit out of date with even cooler advancements, which is why I'm working on another article in the same vein now. https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ I also did a project (Master's thesis) integrating an LLM into a ROS2 stack as a high level action planner, specifically to prove that LLMs have contextual understanding of the real world that can benefit planning missions. https://hlfshell.ai/posts/llm-task-planner/ https://hlfshell.ai/posts/llm-task-planner/ Always happy to talk this subject.
mewpmewp2 3y ago
Not just eating, but reproducing and seeking pleasure from anything they can.
frituur 3y ago
Clearly you haven't heard about EATR https://en.m.wikipedia.org/wiki/Energetically_Autonomous_Tactical_Robot https://en.m.wikipedia.org/wiki/Energetically_Autonomous_Tac...

by rvnx 3y ago

ardaoweo 3y ago

Have there actually been advances in robotics that could make them mainstream, or is the progress still painfully slow? I think robotics would be the next logical step after AI hype, but I'm having hard time figuring out which company will be the next Nvidia there.

hlfshell 3y ago
No one is there yet. We have made enormous jumps with transformer models (language models being integrated in the stack, and vision language models (VLM), and even vision language action models (VLA)). Pair this with recent advances in reinforcement learning and we can do things we couldn't do a few years ago; the whole space is fascinating! ...but we're nowhere near usable robotics in complex human environments for complex multistage tasks yet. It's an incredibly difficult problem where we still don't have the hardware, the software, or the sensors for it. The other thing to keep in mind is that since it's so expensive and difficult to do, there's no marketplace yet driving significant advances like we had with phones to hone in on such efficient amazing pieces of tech across the industry. I wrote a bit about where we're at with the research last year; it's a bit out of date with even cooler advancements, which is why I'm working on another article in the same vein now. https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ I also did a project (Master's thesis) integrating an LLM into a ROS2 stack as a high level action planner, specifically to prove that LLMs have contextual understanding of the real world that can benefit planning missions. https://hlfshell.ai/posts/llm-task-planner/ https://hlfshell.ai/posts/llm-task-planner/ Always happy to talk this subject.

mewpmewp2 3y ago

Not just eating, but reproducing and seeking pleasure from anything they can.

frituur 3y ago

Clearly you haven't heard about EATR https://en.m.wikipedia.org/wiki/Energetically_Autonomous_Tactical_Robot https://en.m.wikipedia.org/wiki/Energetically_Autonomous_Tac...