All prices are set based on what consumers are willing to pay.
The only way prices ever go down is by exercising a decision not to buy something or to go somewhere for an item.
It will not come from the government, unless the government mandates a specific rate.
Headphones do all this already. No mind control is a nice little benefit too.
Simple solution: Try looking at the pictures of you through a mirror.
How about we ban software in cars in general, beyond basic engine control.
Uh, it’s a brick shelf made out of books.
If it’s such a problem, maybe we just collectively move on to ES or TypeScript nomenclature?
This is what happens when stack overflow is used for training.
Generative AI is not smart to begin with. LLM are basically just compressed versions of the internet that predict statistically what a sentence needs to be to look “right”. There’s a big difference between appearing right and being right. Without a critical approach to information, independent reasoning, individual sensing, these AI’s are incapable of any meaningful intelligence.
In my experience, the emperor and most people around them still has not figured this out yet.
Not too surprising if the people making malware, and the people making the security software are basically the same people, just with slightly different business models.
I suspect rebasing makes sequential commit IDs not really work in practice.
I think this is satire. Poe’s law is stronger than ever
I’ll take garden variety disagreements about economic policies over power seizure any day of the week. Compromise and not getting all the things you want is a hallmark of a healthy democracy.
This is how low the bar is and I lay 100% blame on authoritarians more interested in grabbing power than compromising themselves.
You use LLMs for everything? Seems strange, as they don’t reason. They are specifically designed to mimic human speech. So they are great for tasks that require presenting information that looks intelligible, or at least are very easily testable, but beyond that you run into serious issues with hallucination fast…
Or do you mean “AI” as in data science and automation? That’s a very different thing which is a bit off topic. That Kind of “AI” is neither new nor has the hallucination/ecological/cost/training effort issues associated with it
I dunno dude, all your answers talk about “AI” in suspiciously vague terms. “I use AI to …” is the new “built with blockchain”. Skip the marketing terms and talk shop.
Sounds like neither of you watched the video. Fortunately, I did so here’s a quick summary. The thesis is that music is getting worse, for a few reasons. Author argues:
The first point has been touched on by many other people. It’s a common trend in a lot of places outside of music too. People are replaced with machines and processes in a lot of settings especially in corporations and commerce, and while that’s great for efficiency and predictability, it creates a sterile landscape devoid of human expression. This is not to say all music has this. But mass market music is a chief culprit.
The other point really resonates with me with videogames and videogame sales. You can get a dozen great steam games for the same price as a single Nintendo title, yet I probably put 10x the time into that one Nintendo title than all the other steam games combined. Had to get every bit of value out of that expensive Nintendo purchase. YMMV on this point though. I don’t stream music so I can’t say how it has affected me personally.
They are neither ham nor steamed, unless that’s exactly what they are having over there? Wouldn’t compare it to a hamburger though… (A hamburger being a Hamburg steak, as in the German city)
Epic sax guy and ska is a very strange juxtaposition.
Can’t tell if you are joking. I know a lot of junior developers who think this is a legitimate solution.
I get it, we don’t need billionaires in our society. That aside, what makes you think this is intentional exploitation?
The wording of the article implies an apples to apples comparison. So 1 Google search == 1 question successfully answered by an LLM. Remember a Google Search in layspeak is not the act of clicking on the search button, rather it’s the act of going to Google to find a website that has information you want. The equivalent with ChatGPT would be to start a “conversation” and getting information you want on a particular topic.
How many search engine queries, or LLM prompts that involves, or how broad the topic, is a level of technical detail that one assumes the source for the number x25 has already controlled for (Feel free to ask the author for the source and share with us though!)
Anyone who’s remotely used any kind of deep learning will know right away that deep learning uses an order of magnitude or two more power (and an order of magnitude or two more performance!) compared to algorithmic and rules based software, and a number like x25 for a similar effective outcome would not at all be surprising, if the approach used is unnecessarily complex.
For example, I could write a neural network to compute 2+2, or I could use an arithmetic calculator. One requires a 500$ GPU consuming 300 watts, the other a 2$ pocket calculator running on 5 watts, returning the answer before the neural network is even done booting.
Just check your tea leaves.