9,749 karma · joined August 1, 2011
I say this because I feel the same thing as you when I go back, and I really want to like it.
https://x.com/SebastienBubeck/status/2097379411691516310
https://x.com/sama/status/2097385167002415140
I tend to believe OpenAI on this. Their stated desires seem rational, and Buckmaster's account makes them sound like cartoon villains. It sounds like there may have been some things lost in translation along with some bruised egos. Seems like the most plausible explanation for what Buckmaster is claiming.
Even engaging with the nuance is beyond the pale.
Music didn't enter the conservatory so much as the relative interest in various styles have changed over time. I get that the author was implying that by talking about pop music, but what was music doing before Mozart came around?
Every field is having this existential crisis right now, from art to math. Especially in art, the anti-AI hate mostly reduces to arguing that art is the process not the outcome.
The need for research-level math isn't changing (if anything, it may accelerate), but how we do it is. The languages, systems, and process I used to write code has changed a lot since I wrote my first line of BASIC in 1994. Mathematicians, I expect, have not encountered nearly the same amount of disruption in academia. I feel for them.
Even if it isn't precisely this, the fact that no one is saying anything is quite surprising.
Edit: I don't want do contribute to FUD, so want to call out this comment and its replies that identify the shared layer as probably being xAI's infra: https://news.ycombinator.com/item?id=49568622
Maybe it's useful for modeling behavior, but it isn't useful for assigning consequences.
None of us can wholly do our trades without support. Local inference is a fun idea, but you'll be out-competed by the serfs, as you call them.
It's a part of the culture. You can say that isn't what you signed up for, but I find it hard to believe that you don't know it's part of the culture you're participating in, which is the "we" here.
I worked at a (very) well known media company in Hollywood during the Netflix disruption. This really doesn't sound all that different from a Hollywood exec mocking internet media in the early 2000s. People are trying to understand it and leverage it. Quality is bad. Then one day you wake up and it's taken over, because it kept improving. Setting aside the debate on AI use in the creative process, even if models never get better there are years of optimizations to be done on the tools/business side.
As a gamer, I'm actually excited for it. I want more diversity in games beyond what the current indie scene provides. If we can give smaller teams the horsepower to make what was considered AAA 5-10 years ago I will be quite happy as a consumer.
I am becoming dependent on AI to make a living, and I need predictable spend on it. If I know I can't use a model regularly all month, my enthusiasm is limited.
I urge Anthropic to get better at this aspect of their business so I can come back to it.
What fascinating about these is that they eventually turn on themselves, because rhetoric has no logical foundation and can be twisted to mean anything.
If decentralization is ever going to win, it needs to be turnkey, explained without showing a network diagram, be basically free to run on your laptop, and actually have the content people want to see and not just be a bunch of people who speak lojban. [1]
While I'm not sure how much of a legal leg X has to stand on, I understand why they'd rather Nitter not exist. Twitter tried (valiantly, imo) to stay open. What ultimately began the API lockdown was the need to stop bleeding financially. Ads were inevitable, and there being no reliable way to do that via API access.
Twitter solved those three problems, and no one spends nearly as much time talking or caring about the technology used to do it than people who talk about decentralization. Myself included in my younger days. Now they're just defending their moat.
However, I'm not sure a single platform will be how it emerges
I believe the issue is that this can no longer be a horizontal play. MTurk was mostly for unskilled tasks...the kind AI can do well enough that it isn't worth the cost differential to verify it or keep farmed to humans. The "trust but verify" AI output is now the kind that requires domain expertise. This is what most full stack AI companies are bringing to industries.
Curious if this kind of work will come around again one day or was just a moment in time. If it does I'm sure it will be specifically about generating training data.
Cheers to Dan.
Grateful we're moving forward on so many fronts in the world.
I do wonder if entreprenuership would be higher if we gave students more gap years, because I find it rare that someone who has not been in the world knows they want to start their own business. Tech is an exception because it's more of a lifestyle and culture than other STEM-based business.