If you want someone else to do household chores, hire someone. You can pay someone to do your house chores for years for the cost that these things will have initially.
Which are pretty useless for a lot of home layouts and degree of putting cords etc. away. I took a look a few years back and got a stick vac instead. (And have a monthly housekeeper who does a lot more than a robo-vac would.)
Wasnt AI science fiction (research) for decades but just took couple of years after Chatgpt to become mainstream. Why do you that wont happen to robotics?
Current frontier models are absolutely sci-fi AI by any measure that existed up until the late 2010s. If you showed a current frontier agentic AI, with bidirectional speech, tool use etc. to a person from 2010, they'd say it can't be real, there must be a person inside that mechanical turk.
Sci-fi is Lt. Cmdr. Data, HAL, Skynet, Culture Minds...
> Current frontier models are absolutely sci-fi AI by any measure that existed up until the late 2010s. If you showed a current frontier agentic AI, with bidirectional speech, tool use etc. to a person from 2010, they'd say it can't be real, there must be a person inside that mechanical turk.
It wasn't a natural language chat interface that makes stupid mistakes a noticeable fraction of the time and can execute command line programs.
The current state of things is closer (not close to by a long shot) to Fred Pohl's "AI" programs from his novel Gateway[0] than it is to the above examples.
But even those are decades (at least) beyond what we have now. What we have now is the foreseeable (from at least 30 or 40 years ago) evolution of what was once called "expert systems."[1]
I guess you had to be there. I certainly saw it coming.
>Expert systems worked on quite different principles.
Actually, not so much. The inference engine has changed, but otherwise it's same shit, different day.
They did interviews with experts and tried to do domain modeling, mapping the expertise to a formal symbolic logical description, ontologies, relations etc.
Both the knowledge base and the inference engine changed. They both changed to a unified machine learning paradigm. It's like you throw away your axe's handle, then the head, and then you grab a chainsaw. It's "the same thing" to that same degree.