Make it "Apologies for linking to Amodei" and we're talking.
> "I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world."
> wall of text follows
> doesnt proceed to clearly tell us what the actual picture of the world is, then
am i correct in summarizing that the line of reasoning is- frontier llm access means you are at an economic advantage
- a big risk of this is ongoing wealth concentration
- the "open weights" approach can't solve the problem of wealth and llm access being linked; you need compute too, and compute is expensive, thus "open weights" still favors the wealthy
- instead we need "objective and fair institutional processes", as this will allow small labs cook up their stuff while frontier labs get regulated
why would i care about what these smaller players do, if economic advantage = frontier model access? also, the reasoning around "why bother with open weights because compute is expensive too" seems like the kind of logic a motivated 12 year old could work their way around in 30 seconds. things are not either/or dario, you said so yourself.
seems like a 400 word corpo misdirection essay. par for the course.
> ...
> completely exempt any company below a certain amount of revenue or model training costs from being covered at all
One could argue that "Frontier AI" company know they have nothing to fear from company with less than XM$ revenue, and so their support for this type of regulation is still a way to force regulatory capture. In any case, whatever regulation you support, it's a regulation that you didn't have to handle when you were growing, but that incumbent will have to deal with.
Whatever it is Dario's intention or not does not matter. Capitalism push to consolidation and the eventual regulation that will need to be applied to mitigate the externality from a new industry, will mean that their will only be a handful of "very big" winner. Same story since the beginning of the industrial era. Even if that's not what Dario personally want, it's in the best interest of the shareholders, which will force Anthropic to do everything it can to be one of the big one.
> Overall my view is that AI is structurally a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws).
The same can be said about a lot of other industry (aviation, oil, chip manufacturing, ...). Every country / union big enough will finance their own champion to try to keep a foot in the industry even if they are not the best.
He's clearly focusing on being on the news to provoke emotions on people, preparing for the Anthropic big blockbuster IPO.
Dario, Sam Altman and others should instead be praying every night that this will take us to the Singularity VERY SOON, because if it doesn't, the entire country will blame them for absolutely destroying their retirement and the US' economy once this AI Datacenter bubble pops.
This is actually a good point. Open models are getting better and better, some of them might even be useful in consumer hardware now. But if AI performance is still correlated with compute power, then no doubt power will remain with the people owning the chips.
I'm an AI advocate but that question makes me feel that AI is simply "very useful" rather than being a historical game changer for humanity.
A product still requires a lot of handholding and human thinking, at least if one does not want everyone even throwing a glance at it to immediately be repulsed by the usual AI slop tells.
> I'm an AI advocate but that question makes me feel that AI is simply "very useful" rather than being a historical game changer for humanity.
It absolutely already is a historical game changer on par with the Industrial Revolution when it comes to the amount of jobs destroyed and economies screwed up - and the impact will be even worse in 10+ years as existing seniors retire but no new seniors rise as AI has destroyed entry level career paths.
Edit: Does anyone else notice the switching between dashes and em-dashes between paragraphs? Tells you a lot about the man, doesn't it.
That he doesn’t know how to use basic word processing, or even agent SKILLS.md or whatever it’s called now. Or maybe it’s just the next generation of vagueposting.
The CEO of Anthropic not using AI extensively would be news.
That's putting it mildly, very mildly. The guy all but wrecked the entire world's DRAM supply chain by using negotiation tactics that, if there were any semblance of regulatory authority left in the US, would lead to criminal charges for market manipulation.
Arrest Sam Altman, he is one of the most dangerous people on the planet. Not a single shred of respect for the 99% and the consequences his actions have on them. (And similar things apply to the other controversial figure you mentioned, Elon Musk actively enjoys hurting people by the looks of it.)
To paraphrase Sinclair "It's difficult to make a man realize the issues with regulatory capture, if they're to be the benefactor of regulatory capture".
> A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice.
Not so sure. After all lack of the latter did help establish the current techno feudal elites.
Or even for the HN crowd, when will we see e.g. "Mythos aided research discovers 10 new viable battery technologies"
Which economies are already screwed up?
IMO it can’t ever be on par with the Industrial Revolution because AI can only really affect the information economy. Things people do with their hands/bodies have either already been automated or can’t be with current tech. If you’d asked people decades ago they might say no one will ever work in factories by 2026 because they’ll all be automated. It didn’t work out that way. I think AI will go the same way: absolutely game changing to some industries (of which software engineering will be one) but a great many will still survive with less dramatic changes.
The way it changes the game is by lowering the cost of making radical bets so we end up trying more moonshots.
Second, the Internet didn't show up much in GDP and similar measures either!
But your point stands. Where are the amazing digital products/stuff? I get that it might take time to arrive as we scale up compute and learn new paradigms. But so much infra already exists (deployment pipeliens, everyone reachable on a smartphone) that we should be seeing something.
The earliest used models in this category would easily 10x (what did just say) the creation of one-off short scripts, but you're not writing a 30-year app out of just a bunch of short scripts.
The METR time horizons graph suggests we can now get 10x (ahem) speedup on solving most coding problems that take us a few hours and about half of problems that take 2 days. Amdahl's law bites: even infinity speedup on half your problems is only 2x overall.
If you let an LLM lose, with a huge budget, what's the biggest artefact it can make before it drowns under the weight of bad decisions? The C compiler and web browser headlines a while back? The maths papers we see now that solve problems which stumped the maths world for decades?
But this is the other side of the same coin: teamwork. One person getting a thing made in twelve months vs a team of a hundred, you can scale up fast with money when you have a proof of concept, and an LLM can make a lot of proofs of a lot of concepts even in free accounts.
jacquesm•6h ago