Speaking of which, I just saw this for the first time:
I am pretty impressed. Running stock, open source, unmodified Klipper. Using off the shelf E3D volcano nozzles. No belts. Just rows of magnets. Almost frictionless motion. Pre-order price is $600 off.
Now just imagine, chatgpt gets access to all patent files and you can build just about anything in your garage! Chatgpt is not on my favorites list. āDo you want to play a game??ā (just showing my age) or how about Terminator?
Well actually chatgpt, bard, and every other llm/generative engine has a paid version where your data doesnāt serve as training data and is not shared with others
Did anyone see the 60 minutes story this past Sunday, with the grandfather of AI talking to 60 minutes?
Kind of gave me the feeling we are closer to a problem than we think. Just hope itās after my time on this planet.
Itās a race to see which will be first: war games, terminator or iRobot. Itās sort of amazing to me that people were that forward thinking, that long ago, before AIās latest releases to the public.
Tied to this, Iām exhausted with the various sources accusing things of being AI that arenāt, like simple if/then workflows being AI. If that was the case, we had AI, before the grandfather of AI accidentally created it in the 70ās.
Stepping back off my soapbox, my apologies for the vent.
Thatās how it all begins, then they add fuzzy logic and then you are in trouble!!
The lines are very blurred at the moment.
In one of my other lives I am dealing with the complexities of AI and photographic competitions - almost every function of modern processing software relies to an extent on true AI āsubject selectionā āremove objectā and so on. Every smartphone uses it to process the data it collects and turn it into what we would call an image.
Presently the rules say āmust be comprised entirely of information captured through a lensā, but how would anyone know?
I often remind myself that AI is only as good as its training regime. For better or for worse. I recall stories of early neural nets being trained to find tanks in photos of forests, and then couldnāt find tanks in fields, but thought that every forest had tanks. And letās not dismiss the pervasive gender and racial bias currently exhibited by most AIs on the marketplace.
OK, off Steveās soapbox (thanks for letting me borrow it!)
If AI ever makes good on the āLoTR by Wes Andersonā trailer/meme that Iāve seen around, Iām watching it. Iāll donate to SAG/AFTRA as penance.
I guess thatās kind of my take away from the now two 60 minutes stories on AI. Donāt go with my opinion, look for the story named āThe godfather of AIā. Surely itās out there on the web (unless the AI keeps deleting it). Humans arenāt teaching the true AI anymore. In the case of four small robots playing football (soccer) they only told it the task was to get the ball in the goal. Then they watch it learn for X amount of time, and develop strategies, then wipe the system to start all over again, and see what it learns on the second try, lather rinse repeat, over and over, and watch how itās learning, to see the subtle differences in what itās learning. But no garbage in, itās creating its own. Then thereās chatGT making up stories, or lies, depending how you want to interpret the data.
Iāve been a little obsessed lately trying to figure out what real practical utility I can squeeze out of these AI tools. There are a lot of crap demos but I feel like there is real potential that hasnāt yet been tapped.
My current sense is that the missing piece is some development of procedures surrounding the AI LLMs. Like the McDonaldās handbook or CMMI or something like that but different, to steer the AI outputs into some results with known properties.
Like using the CAM demo from above but actually plugging it into the CNC with some load cells and letting it make tests cuts until it knows exactly what to do?