Honestly, it makes sense for any business off of a highway that sells things to provide fast chargers. They still take several minutes at a minimum to charge, so you have a captive and probably bored customer. Seems like a gas station, restaurant, whatever would quickly make back the money spent on charging infrastructure in increased sales from people who’d rather shop or eat than sit in their car for a half hour.
ourob
joined 1 year ago
If you’re good at building hype and have some connections, you can attract all sorts of investors hoping to get in on the ground floor of the next big thing.
Dan Olsen’s NFT video from a year ago summed it up well, I think (link). People with money to invest today want to repeat the insane growth in wealth brought about by computers, the internet, social media, etc. So they will basically gamble on any new ideas that have an air of plausibility to kick off the next boom.
“Looks right” in a human context means the one that matches a person’s actual experience and intuition. “Looks right” in an LLM context means the series of words have been seen together often in the training data (as I understand it, anyway - I am not an expert).
Doctors are most certainly not choosing treatment based on what words they’ve seen together.
See any advancements in automation from farming to manufacturing.
See, this is the kind of thing that makes my bullshit detectors go off. The comparison elevates this new tech to the same level of importance as past revolutionary shifts in industry. But this only seems justified if you can assume the rapid advancements in LLMs will continue at the same rate going forward, which not a given at all. Fundamentally, these models are trained to produce convincing output, not accurate output. There is no guarantee that high accuracy will be achieved with this approach.
For programming, I don’t see these LLMs any differently than previous advancements in tooling and in high level programming languages and frameworks. They will make it easier to rapidly prototype and deploy (shoddy) apps, but they will not be replacing devs who work at a low level high performance, or critical areas, nor will they be drastically reducing the workforce needed - at least not any more than other tooling advancements.
All just my opinion, of course. We shall see.
I don’t know. The speed that these things blew up in becoming The Next Big Thing™️ kind of sets off my bullshit detectors.
I’m certainly not an expert in machine learning topics, but I suspect that the output of LLMs will never be able to output complex code that doesn’t require a lot of modification and verification.
Well, it depends on your perspective. Copyleft licenses restrict downstream developers in order to protect the rights of downstream users.
This is why I don’t accept that any crypto is currently acting as a functional currency. Who is out there actually pricing things in bitcoin? You’d have to be a fool since you would have little to no control of whether or not you could possibly make a profit.