"The pursuit of excellence does not need justification."
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I don't trust him or Dario frankly, but I don't run a Fortune 500 company. They obviously do.
Why are they charging 1000x more for the exact same business?
The implication they want to avoid, I'm suggesting, is because the CCP isn't plugged into and funding those entities' activities at a loss. Or they're lying about ZDR, etc. etc.
In that case is there not some open harness that demand can coalesce around?
For fear that the data they're entrusted with will be copied or that there is some nefarious reason like state sponsorship that makes the activity economical?
The baker is not asking you to trust them with your entire knowledge base in exchange for an apple pie.
I do agree with the UX idea of familiarity, but copying the exact salutations, etc. just seems egregious.
Why not let the model speak for itself and contribute to an open harness?
Perhaps, but "we run the exact same business as Anthropic and OpenAI to the pixel at 0.1% the price" is going to raise eyebrows.
I don't think the comment was intended to be pedantic, but rather to reframe the message as scientific fact.
It's a mistake to make this such an obvious copy. It will feed the narrative that Chinese entities cannot be trusted by the West. They could have varied it even slightly. It's one thing with hardware because customers don't need to trust suppliers any further than they can throw the box. But these labs seem to be battling for enterprise knowledge work-share. Trust is paramount, and they're already behind on that front. Own goal.
Perhaps.
Right now? Zero.
In 2 years? A well-engineered TUI could be the difference between the Blackberry and the iPhone for all we know.
I agree. I think the first part is the surprising part.
The second makes sense for an arms-length news service.
The new commercial data feed, named Truth API, promises to deliver posts to paying institutional clients in "milliseconds".
...
The company, which launched its social media app in 2022, said some firms have been copying its data for months without permission.
McGurn warned that Trump Media will soon block these methods, forcing firms to buy the official feed instead.
This looks like it is monetizing and organizing scrapers. Isn't basically everyone doing this with data feeds these days?
At best this just gives a few milliseconds head start to subscribers and cracks down on automation. I would be shocked if NYSE, etc. don't already have premium tiers with faster market data and those feeds are certainly paid APIs. It's known that HFT shops will co-locate, for example, to have low latency.
This looks really bad, but if it were X and not Truth Social, there wouldn't be anything to see. It goes to the underlying issue of Trump owning and trying to profit from Truth Social generally.
Does anyone in 2026 rate algorithmic discovery for music? Or is it widely perceived to be the engagement-reinforcement mechanism that it is?
Sure, but you cordon that stuff off into small, bounded unsafe surfaces. My bet is the new bun is a crashy pile of garbage if they've just translated Zig spaghetti into Rust unsafe spaghetti with an LLM. Hadn't occurred to me.
4% is a lot in my world.
Fair, but that's also kinda like saying "we translated it to ASM as an intermediate step to C". The hard (and valuable) part is safe rust. If unsafe is everywhere, there will be abstractions that simply have to be reengineered to use safe rust. Maybe it's a way to hit the "finish line" quick in terms of using Rust but a pure unsafe translation seems almost as far away as the original Zig project.
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Wow, it's unsafe Rust? That seems... like the worst of all worlds.
If nobody knows why the unsafe is required there's no way they'll be able to unwind it. If they can't unwind it then they're in a worse version of C (+ cargo).
It is more ok to refuse to take dependencies now. It used to be the go-to solution to avoid writing anything moderately complex. As recently as this morning, I asked an LLM to write a Levenshtein distance function instead of adding a dependency to my project.
The trap here is that LLMs love to YOLO out reinvented wheels and that leads to a lot of verbosity and untested complexity. Levenshtein distance is one thing, but I've seen an LLM try to hand roll an ORM which obviously will lead to buggier code and a context window bloated with irrelevant noise. Better, as always, to let the ORM maintainer leverage LLMs for the more local issue.
Basic economics still holds. There will be firms investing loads of time and money into specific, winning approaches and folks using custom builds will be competed away by them.
Like, is all of statistics just basically AI, or is there a meaningful difference?
We came up with a hacked font a few months back called "Noroboto"[1]. It just lies about its underlying Unicode representation which fools most of the naive ones and is crystal clear to humans. The better harness/model combos will render the text to a picture and OCR that, but many of them fall for the swapped characters. Was kind of hoping to see an extension of that idea here.
Has AI yet been a serious problem?
What a provocative and brilliant way to prove misalignment. It will fall on deaf ears for most but it’s a great litmus test for all: “in your opinion should your AI be permitted to tell you how to cover up a murder?”
Okay, but that was a really useful metaphor if incomplete in a lot of ways. It made me say “oh”.
Because it’s uncomfortable to see decades of work copied so trivially.
Which you will necessarily have if they’ve completed a Rust rewrite.
Yes. I think remote works for a lot of people, but at a societal level we need real-time in person collaboration among a large swath of society to accomplish interesting tasks. I say that as someone who works entirely from home and really enjoys it.
A lot if it wants to do interesting things.