I mean mostly the writing. The visual design is fine but the grandiose tone is clearly LLM, as well as attempt to be “data-driven” to an absurd degree.
The screaming “DAMAGE” blocks, “body count”, “(EXHIBIT)”, “7.8X MORE SCANDALS PER YEAR”, all of this looks extremely stupid, screams LLM, and undermines the points the authors want to make.
LLMs often seem to have trouble determining the severity of a bug/incident/problem in a vacuum. If you run an LLM over 1000 items in parallel and ask "is this bad," it will come up with reasons for it to be bad way more than it might if it were considering all 1000 at the same time.
I do agree. The Gary Tan takedown page is equally sensational, kinda for no reason? There’s a lot to rag on with Gary, but this webpage makes it seemed like he killed a guy or something.
I wonder if a popularization moment for local AI will ultimately be the pin-prick that pops the AI bubble. Like the deepseek or openclaw moments but bigger/next.
That's like wondering if enough people discovering local media streaming will disrupt commercial streaming services. It's not going to happen. Most people are not ambitious and will let themselves be controlled by the services of least resistance.
And you can't take comfort in knowing that you, personally, will remain in control of your own computing. The majority will let the range and direction of their thoughts and output be determined by the will of the tech giant whose AI they adopt. And that will shape society.
I like the analogy of streaming services vs local media streaming, although I don't think it holds up when looking at history.
Streaming Services are getting worse and more expensive. I don't see a single report suggesting piracy is decreasing, it seemingly is only increasing now.
When costs increase, quality decreases people look for alternatives. The advent of faster broadband enabled Napster and MP3 sharing. I think this could have a resurgence if the peices align correctly (a new bitorrent client, a new torrent site, something to break the status quo).
How this related to AI, I don't know, although I wouldn't be set on the idea that we will never have local AI as the norm. There is a lot more movement in this space then there is for local streaming imo.
Yeah... probably right. I do hold out hope that this is mostly a timeframe thing. Like, the library, printing press, etc. all had their moments of centralization. But eventually they federated.
A non-profit to deconcentrate power over AI through better infrastructure for external auditing/oversight, and better infrastructure for local/federated inference/training https://openmined.org/
i'm not sure it's productive to think this way. senators could be making more money on prediction markets. they took a nice step which will lead them to make no money on prediction markets (less money overall). it also sets a precedent which could easily be applied to the stock market.
what you're saying is probably on the mind of at least one Senator, but all things considered, this feels like a net-positive move which they didn't have to do.
"Conclusion
Our monorepo isn't about following a trend. It's about removing friction between things that naturally belong together, something that is critical when related context is everything.
When a feature touches the backend API, the frontend component, the documentation, and the marketing site—why should that be four repositories, four PRs, four merge coordination meetings?
The monorepo isn't a constraint. It's a force multiplier."
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