A little off topic but I do wish we had some more precise language for machine learning applications. When we say it "knows" something it seems to anthropomorphize it, as if it's conscious. As a start to replace "knows" maybe "infers" or "calculates"
“Calculate” is the wrong word. Computers are calculators. LLMs are pretty bad at calculations.
I’ve recently thought about iron man movies, where tony stark actually designs stuffs by simply talking to jarvis. I’ve always thought « if only i could have those kind of tools available, i would too be able to design crazy stuffs ». We didn’t think « damn, tony stark didn’t have to write a line of code, he got rendered obsolete by this damn AI ». That’s how i choose to think about AI tools for developers from now o…
Let's hope in reality it isn't available only to the billionnaire owners of software companies. In those movies everyone else wasn't designing cool suites by talking to voice assistants.
The marginal cost of technology is pretty close to zero (albeit slightly higher for large LLM model inference) so it would make sense that the technology gets distributed widely. Kind of like how everyone has essentially the best smart phone. And it's laughable when someone tries to create a luxury smartphone for $10k and its just a sub-par Android with leather accents.
If you have a technology with practically zero marginal cost, pricing it very low and distributing it widely would maximize your profit. Not to mention that once its out of the bag, others will know that its possible and copy it.
A little off topic but I do wish we had some more precise language for machine learning applications. When we say it "knows" something it seems to anthropomorphize it, as if it's conscious. As a start to replace "knows" maybe "infers" or "calculates"
I feel "infers" and "calculates" are still anthropomorphizing. I don't think anthropromorphizing is a bad thing.
If something appears to do an action, then it's a useful shorthand to say that it is doing the action. Even if it is doing something else under the surface
Is there a good way/site/method to keep up to date with the latest AI projects? Seems like a lot of people are now trying to specialize these GPT AIs and I would like to find out about them as there will likely be a few that could help me with my workflows.
I have a feeling that in the future developers are still going to be needed, but in an architecture and debugging/optimization fashion. Not in a writing boilerplate code aspect. There is also an issue with validating the output before it gets released to production.
A little off topic but I do wish we had some more precise language for machine learning applications. When we say it "knows" something it seems to anthropomorphize it, as if it's conscious. As a start to replace "knows" maybe "infers" or "calculates"
People don't even know what consciousness is anyway.
Maybe it's just biological multi-modal computations that aim at maximizing energy and stability of a given structure... (your atoms, then your molecules then your body, then your kinship etc)
This video struck me as possibly being fake. Come on, just shuffling around some URL paths? Any idiot could create a video like that. Sorry, but no sorry.