I think this meme would be 450% better with parralax

I’m surprised this isn’t the central plot device of some blockbuster property.

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.

I think this is satire. Poe’s law is stronger than ever

Considering the vast majority of people that walk around naked in the public locker room without an ounce of shame are people over 50 or over 60, I find this comment has got it backwards. There seems to be a universal constant that the older you get, the less you care about what other people think. I know I have experienced this myself, and most older people I ask tend to agree vehemently. It also explains why so many young people are embarrassed by their parents.

My advice to teens and people in their early twenties: don’t worry what other people think of you. No one else is thinking about you much at all.

You can have a capitalist economy without billionaires. It just requires a wealth tax and welfare state. Nothing wrong with small businesses and anti trust.

All that said, UBI is inevitable with the rise of automation, as the value of labour drops to zero. The only question is: will the labour class fight for their share of the pie, or will they roll over and just die of hunger.

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:

• Auto tune and other modern digital sound production tools are overused to correct pitch and timing, making music too synthetic. Real music has imperfections that makes music just sound more artificial. Basically, taking the human element out of it.
• Streaming has cheapened the value of a single song because of how easy it is to skip to another song. So arguably it is not technically just worse music, it’s our appreciation for it.

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.

Are they? As the article OP shares suggests, these films quietly make us compare our lives to what is portrayed on screen. This is advertisement 101: display people in enviable positions to portray a sense of longing for a lifestyle that one would not normally seek. A food commercial isn’t selling you a product, it’s trying to make you hungry.

If all you wanted out of these rom coms is the portrayal of a carefree life, you could just watch pharmaceutical, banking, or insurance ads.

The problem is the hysteria behind it, leading people to confuse good sounding information with good information. At least when people generally produce information they tend to make an effort to get it right. Machine learning is just an uncaring bullshitting machine, that is rewarded on the basis of the ability to fool people (turns out the Turing test was a crappy benchmark for practice-ready AI besides writing poems), and VC money hasn’t reached the “find out” phase of that looming lesson, when we all just get collectively exhausted by how underwhelming the AI fad is.

The benefit of AI is overblown for a majority of product tiers. Remember how everything was supposed to be block chain? And metaverse? And web 3.0? And dot.com? This is just the next tech trend for dumb VCs to throw money at.

Other than making sure to be wearing your glasses if you are near sighted enough that your local licence requires it, glasses are an irrelevant factor. It’s not like you are going into active combat duty…

Just wait till the advertisers find out the eyeballs they are paying for are also just AI sock puppets. Enshitification strikes again.

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?

Reject the temptations of short term convenience and adopt sustainable consumption.

Demand ownership of goods. Demand offline-first.

Is this the before or the after picture?

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.

Asking your employer for more compensation because you are exerting more effort due to inexperience isn’t so different than a AAA studio charging high fees for a crappy product because of corporate bullshit and inefficiency.

In fact, these two things tend to be two sides of the same coin.