Ok, but how do the economics of this work? Based on its settlement, Anthropic paid an average of $3000 per work they scanned based on their settlement (https://tech-insider.org/au/anthropic-copyright-settlement-2...). They and OpenAI pay billions per year for a mix of experts and normal people to label or create data. Why would they continue doing this if the value of this is immediately copied by open models? If your goal is to end the economics of generating and buying data for AI (and I recognize for some people this is really the goal) then sure, but if you want AI for various subfields of interest to continue improving then it's not workable.
Back when people made arguments for software privacy, the argument was usually "big business will still pay and consumers wouldn't have paid anyways so it's ok for us to pirate" - I actually think that was fine for business software but terrible for indie games, whose market was 0% businesses.
But in the AI case, it's not like they get to keep some of the value of their investment - it all gets cloned into models that businesses and consumers alike are happy to use. If someone knows how labs could continue to fund data creation and acquisition in this model, please do share!
They can’t they’re literally fucked, and it’s not society’s problem! The whole world doesn't have to bend over to make sure a couple of lunatics who believe they are building a doomsday weapon also have a viable business model
Somehow people who think open models will lead to infinite abundance and people who think open models will kill AI development are both liking this post.
> You're basically arguing that a criminal syndicate must be allowed to continue and we're required to make their business model make sense?
This is how Uber worked. They didn't just break the law in different countries, in several they actively misled government/law enforcement investigations. Google "Greyball".
Oh I'm aware that they're ~all assholes and many have gotten away with worse. It just seems like a poor argument that we're required to make it happen for them.
Surely if you hoover up every book in existence to feed into an ai model you must be extracting more than 1.5B in value. If not then it’s not a viable business.
I uninstalled basically all of these EXCEPT youtube, and that's what I struggle with sometimes now. I find so much great long- and medium-form content on Youtube that I want to keep it around. But I have to admit that I can sometimes fall down a time-wasting rabbit hole with shorts.
The Youtube app now has a "shorts feed limit" under "time management" that will limit your access to the auto-scroll shorts feed to a certain amount per day. Worth checking out!
By putting AI into every product I think Google has made a tactical error on YouTube, since the “summarize it this video” feature is helping me spend far less time watching rage bait political content.
I try to pressure people into just turning off the absolute majority of the social media / algo type recommendation stuff on youtube. I still "use" youtube, but my experience is night and day compared to the typical usage, I have my sidebar with a handful of creators i care about, tiny blue indicator next to their name if they have a new video i haven't seen, just like the normal UI. I think this portion is vital, it removes the "clickbait image" meta on youtube, I have to make the first move and say "I wonder what {user} posted".
So i pretty much see, search bar and that text sidebar on my main screen for youtube. Its absurd seeing the standard youtube ui, after using it like this for a couple years now. This also just really really tightens who i follow. If i find myself clicking through to their profile and seeing what they posted and deciding not to watch, i consider that a waste of my time and after a handful of times i might just unfollow entirely.
I'm a good target market for pro-coffee writing, but this is just an observational study of a drinks habit. No one in the general public should have any interest in studies of this kind.
Maybe if you're deep in working in this research space it could help generate hypotheses for more meaningful research? But "we cross sectionally compared two groups with different behaviors and found they were different" is not really a result.
Who will invest in generating data for the frontier of AI if their output will immediately be used to train a competing model? Forget China vs. US, this applies within-country too. After exhausting all the publicly-accessible data on the internet, the frontier labs started spending hundreds of millions of dollars to generate data across a variety of fields. Just look at Mercor doing $1.2bln/year with 90% coming from the top labs (https://www.theinformation.com/articles/mercors-fast-growth-...). That pushes ahead what AI can do in medicine, science, coding, and math. But if other companies are going to free ride on this investment, it doesn't make sense to continue. So AI will largely hit a wall, frozen at the current level and work will all shift to cheaper inference.
It's like the Victoria 3 combat system. You just send an army and a general to a given front and let them get to work with no micro. Easy! But of course some percentage of the time they do something crazy like deciding to redeploy from your existential Franco-Prussian war front to a minor colonial uprising...
This is actually not such bad advice for a manager who manages other managers, though I can see why ICs find it very frustrating. If you are giving high level platitudes and counseling-disguised-as-coaching to a junior new hire, they can rightly ask WTF. But managers, especially those recently moved from IC tech roles, often do benefit from this kind of forced introspection. If they have an underperforming employee, they should bounce ideas around with a more experienced manager, but the first line manager ultimately needs to be the one deciding how to rebalance work to maximize learning or to ultimately make the call to part ways with the employee. If a servant senior leader over them is actually doing the slog of working through the hardest issues (interpersonal conflict, serious direction change needed for team, firing people, top performers at risk of leaving), the first line manager is never going to grow.
Similarly "cut out the middleman" advice in the article is great for senior ICs/quasi-architects or sub-managers but potentially toxic for junior engineers who may get steamrolled by the classic "1000 urgent requests issue" that managers or potentially very senior ICs need to drive.
Why is forced introspection good for managers but not for ICs?
I’m not saying that the extreme “I do nothing except act as a sounding board and tell my team to solve their own problems” is a good approach. But pushing people to solve their own problems does help them grow. It needs to be a balance.
A good manager should be able to see what someone is capable of solving with zero, a little, or a lot of help and engage accordingly. And sometimes they can’t solve it at all and the manager has to take it in directly or pull in someone else who can.
So it's weird to see folks on a tech site talking about how enormous all the profits are in health insurance, and citations with numbers would be helpful to the discussion.
I worked in insurance-related tech for some time, and the providers (hospitals, large physician groups) and employers who actually pay for insurance have signficant market power in most regions, limiting what insurers can charge.
Is it easy to record a voiceover or add chosen audio? (Sorry I don't have an invite code so I can't try.) I could see some room for human jokes or short human-driven songs that could use a video backdrop.
Does Disney have a positive obligation to show animal cruelty snuff films on Disney Plus? Or are they allowed to control what people say on their network? Does Roblox have to allow XXX games showing non-consensual sex acts on their site, or are they allowed to control what people say on their network? Can WebMD decide not to present articles claiming that homeopathy is the ultimate cure-all? Does X have to share a "trending" topic about the refusal to release the Epstein files?
The reason we ban government censorship is so that a private actor can always create their own conspiracy theory + snuff film site if they want, and other platforms are not obligated to carry content they find objectionable. Get really into Rumble or Truth Social or X if you would like a very different perspective from Youtube's.
Let's say that in the future that the dominant form of entertainment is X-rated animal snuff films for whatever reason. Would a lack of alternative content constitute an attack on your right to choose freely or speak? Given your ethical framework I'd have to say, "no" but even as your discursive opponent I would have to admit that if you as a person are adverse to, "X-rated furry smut" that I would sympathize with you as the oppressed if it meant your ability to live and communicate has been stifled or called into question. Oppression has many forms and many names. The Johnny Conservatarians want to reserve certain categories of cruelty as, "necessary" or, "permissable" by creating frameworks like, "everything is permitted just as long as some social condition is met..."
At the crux of things the libertarians and the non-psychos are just having a debate on when it's fair game to be unethical or cruel to others in the name of extending human freedom and human dignity. We've fallen so far from the tree.
Back when people made arguments for software privacy, the argument was usually "big business will still pay and consumers wouldn't have paid anyways so it's ok for us to pirate" - I actually think that was fine for business software but terrible for indie games, whose market was 0% businesses.
But in the AI case, it's not like they get to keep some of the value of their investment - it all gets cloned into models that businesses and consumers alike are happy to use. If someone knows how labs could continue to fund data creation and acquisition in this model, please do share!
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