Even if it does cost thousands (does it? I genuinely have no idea how to scope such a thing) that might be a good price if a custom compiler to your custom target is something you really want. People have paid far more for far less.
If you're a hobbyist trying to compile python to your weird little arduino based thing, then that's a lot of money and you would want to use somebody else's solution, no doubt.
But if you're an aerospace company trying to compile for a flight control computer (and I guess you really want to use python for some reason), spending thousands of dollars on tokens to make and maintain a custom compiler could represent serious savings.
The big picture impact of AI that I see/anticipate the most is SAAS dying out because AI coding makes this kind of enablement and support software easier to make in-house, and this feels like an example of that, but maybe I'm seeing what I expect to see.
What are you even trying to say? The fact that this is hardware isn't what makes it non-open source, there's plenty of open source hardware out there. The thing that makes it not-open-source is that the license is non-commercial.
If you can't legally use the product, the fact that the source is available is meaningless. CC-NC is a source available license, not an open source license.
Why is it not like the dot-com bubble? The dot-com bubble is the most direct analogue. It is a genuinely useful technology that people are genuinely willing to pay lots of money for.
Crypto and NFTs were *speculative* bubbles, the assets had no inherent value whatsoever, people bought exclusively because they hoped to sell to a bigger fool later on.
Dot-com and AI are *tech* bubbles. The new technology is transforming a lot and growing fast and people are buying in in incredible numbers. But every technological adoption is an S curve, with an exponential phase followed by a logarithmic phase where it asymptotically levels off.
The tech bubble forms during the exponential phase. As long as we are in the exponential phase, it is mathematically impossible to guess where the ceiling will be based on the trend alone, so any bet is justifiable. The crash comes when adoption inflects and growth slows and we all learn where the curve will level off. The losers in the bubble are the people who made bets on the ceiling being higher than where it actually lands, and people who made more conservative bets come out basically untouched.
The outcome is dark fiber, or like we'll probably have in a few years, dark data centers. Infrastructure built by bankrupt firms who made big bets to get ready to service demand that is never going to come. But that infrastructure can be repurposed (the glut of bandwidth left by the Dark Fiber networks of 2001 basically enabled skype and voip).
People use things they dislike and believe to be bad for society all the time.
It has been a majority opinion that social media is a net negative for society since, what, 2016? But Facebook and Twitter didn't vanish that year, or in any of the years since, despite ever increasing shares of people believing they are harming us. Tumblr and Reddit users have been calling their respective forums "this hell-site" since around 2014, but that didn't make them go away. "Doomscrolling" has been in dictionaries since 2020.
This isn't some crazy concept, it has a million names when looked at from different angles:
Addiction, Perverse incentive, Cognitive Dissonance, Ego Depletion, The Tragedy of the Commons, The Prisoner's Dilemma, Pareto Divergence, Externalities, The Multipolar Trap, The Race to the Bottom, The Collective Action Problem, Coordination Failure, Pluralistic Ignorance, Normalization of Deviance.
This is exactly how almost all bad things and behaviors are able to exist. Not because people think bad things are good, even the worst tyrants dislike tyranny, but because the incentives of the environment make them the right choice for the person in the moment.
This is a big part of it. When you spent less time making something than you expect consumers to spend watching it, the message it sends is an insult.
Doubly so if the product also has quality problems inherent in AI art, video, music, not only does it communicate "your attention is not worth my time" but also "your attention is not worth putting in effort to keep".
> The post was titled "Midjourney Medical", but it approached everything from a "wellness" perspective, i.e. how can individuals "optimize" their health by numerous scans/tests/analyses, it's a spa not a clinic, etc. etc.
Could this not be a regulatory thing? I am an idiot who knows nothing, but if I had a new device that I thought had medical potential, and I wanted to get some press, investment, maybe a little hype going before I was ready to seek regulatory approval, this is exactly what I would do, market it as a wellness device first, because if I say that my prototype is installed in a "clinic" i might start getting suspicious looks from the FDA that can make life harder when I do eventually apply for medical device approval.
That's just to restore the internal state when you reload your save file, so that, for instnace, if you save and quit while looking at a set of card rewards, but haven't made your choice yet, when you reload, you will see the same set of rewards (you can't just reload your save to reroll).
This doesn't really have any impact on the gameplay, and isn't related to the correlation problem, it's just a constraint on the class of RNG algorithms in use, they need to be deterministic with recoverable state.
You're confusing RNG manipulation (really clearly bad, basically cheating by removing the randomness from the game) from RNG prediction (less bad but still unfun, being able to predict future random states).
You can be safe from RNG manipulation while still suffering from RNG prediction. Players can't modify the events that are going to happen, but if they can predict them, it's still a problem.
The situation is like there's a bug in the blackjack table where, instead of shuffling the whole shoe together, each deck in it was shuffled on its own in the same way and then the identical decks are stacked together. Once you've seen 52 cards, you know the repeating pattern and can play with perfect or near-perfect knowledge of what's about to be dealt.
The "incredibly low costs" part is part of the classic AI discussion, but it's not part of this AI discussion.
The article makes clear, it is describing not a hypothetical future trend, but the trend that we are seeing today, where you don't actually get that much more productivity by replacing people with today's AI, you actually probably lose more than a bit, but it's still a good deal for business anyway, because they would rather pay AI companies than people about the same amount of money to do about the same amount of work.
Financials aren't like technology or IP where having the information open to all (perhaps with limited monopolies on usage a la patents) is essentially for the betterment of all mankind, they can be more like order of battle in a war zone.
If your competitors know that your Florida subsidiary is running inefficiently and being subsidized by your successful business elsewhere, they can target their own operations in Florida, undercut you more than you can possibly sustain, force you to exit that market entirely, so that they can monopolize there.
How? "AI fincancing bad" is starting to seem like a new non sequitur meme. There's no imaginary thing being traded for indefensible valuations in AI dealings. Stock units at a certain valuation exchanged for an equivalant value in hardware is just a standard payment-in-kind transaction.
If the valuation turns out to change in the future, that's the hardware seller's risk.
It's not the same thing as buying a $20 million banana from a bahamian llc secretly owned by yourself, which is fraud.
The "Reliable vs Unreliable" section implies that different parts of the scene are sent using a strict-ordering protocol so that the transforms happen in the same order on every client, but other parts happen in a state update stream with per client queueing.
But which is which? Which events are sent TCP and which are UDP (and is that literally what they're doing, or only a metaphor?)
Really the economy of the text in the blog seems backwards, this section has one short paragraph explaining the concept of deterministic event ordering as important for keeping things straight, and then 3 paragraphs about how player position and velocity are synced in the same way as any other game. I want read more about the part that makes teardown unique!
Exactly this. I've made some MCP servers and attached tons of other people's MCP servers to my llms and I still don't understand why we can't just use OpenAPI.
Why did we have to invent an entire new transport protocol for this, when the only stated purpose is documentation?
But it doesn't look human. Read the text, it is full of pseudo-profound fluff, takes way too many words to make any point, and uses all the rhetorical devices that LLMs always spam: gratuitous lists, "it's not x it's y" framing, etc etc. No human person ever writes this way.
People keep saying this but it's simply untrue. AI inference is profitable. Openai and Anthropic have 40-60% gross margins. If they stopped training and building out future capacity they would already be raking in cash.
They're losing money now because they're making massive bets on future capacity needs. If those bets are wrong, they're going to be in very big trouble when demand levels off lower than expected. But that's not the same as demand being zero.
Read the paper dude. It's not an advertisement, it's an investigation. They performed an experiment including 29 human written papers. One of them got a score of 11% likely to be AI, the rest got a score of 0% likely to be AI. The tool never labeled any human writing as AI with high confidence.
> That cannot be true as it would be easy for a human to write in the style of AI, if they choose to.
Is that the nightmare scenario that everybody in this thread is freaking out about?
Students who go to great effort to deliberately try to make it look like they are cheating, they're the ones you're afraid of being falsely accused of cheating?
We're on our way to dystopia because people who go out of their way to look suspicious on purpose, arouse suspicion?
It's not, but the fact that one sentence deserves a high score doesn't automatically mean that entire thing will flag false positive. Unless it's like, two sentences in total.
Science fiction is as old as fiction. The Epic of Gilgamesh (2000BC) and Ramayana (500BC) have sci-fi elements. There's nothing innovative or unique about stories that imagine a future instead of a past, present, or alternate reality.
Genres are too vague and generic to be ownable by anybody. Inspiration is not plagiarism.
If you're a hobbyist trying to compile python to your weird little arduino based thing, then that's a lot of money and you would want to use somebody else's solution, no doubt.
But if you're an aerospace company trying to compile for a flight control computer (and I guess you really want to use python for some reason), spending thousands of dollars on tokens to make and maintain a custom compiler could represent serious savings.
The big picture impact of AI that I see/anticipate the most is SAAS dying out because AI coding makes this kind of enablement and support software easier to make in-house, and this feels like an example of that, but maybe I'm seeing what I expect to see.