terabytest

This one honestly drives me nuts.

Another issue I had recently is one of the subagents made up a bunch of meaningless jargon and Claude gladly repeated it to me with no definition and completely assuming I was coming along for the ride.

As a EU citizen I’m at a loss for what to do about this. I feel that they’re going against any average citizen’s interest. What can we do to make them stop?

We truly are reaching the end times when an article criticizing the use of LLM is in itself pure AI slop.

You’re suggesting flooding the lungs in order to get a scan?

I have the feeling that this article was hurt rather than helped by being written using LLMs. It was really hard to follow, and even though I read it hoping to learn something new, I left feeling more confused than when I started. The feeling while reading was that the prose was trying to hold my hand but had absolutely no empathy for the build up of my understanding over the article. It’s a bit like when, as a child, you’d do homework with your parent and the parent would start saying “don’t you see how it’s obvious that 25/5=5” with no further explanation and a building tone of frustration.

What is the 3d printing technique being used here? I can’t intuitively recognize it.

Cool! But I'm curious why nobody's gone and published a complete app for multiple platforms? Seems like an obvious next step.

Are there any good end-user apps that are supported on a broad set of platforms and use Iroh to support file transfers between e.g. Windows and iOS seamlessly?

I recommend revisiting this comment when you have a son or daughter.

Where do you get the money from while the lawsuit is ongoing?

The atrocious writing style makes it at least obvious this wasn’t written by AI. Silver linings.

Wispr Flow is a masterclass in STT. Apple's solution feels like it's from the last century in comparison. Same applies with Apple's TTS when you have ElevenLabs and OpenAI running laps around it. All I need is for my iPhone to do those things natively at the same quality level (because in Apple's walled garden that's the only way to get them usable everywhere).

If you can, please take a look at the discussion I started on the repo. https://github.com/saffron-health/libretto/discussions/227#d...

I haven’t used libretto myself yet but I’m excited about having this kind of tool at my disposal as it’s been a need in the past.

Are they selling this anywhere or is it just a marketing gimmick?

Looks awesome, but I wonder if its functionality could be exposed to existing CLIs such as Claude Code instead of having to run it through its own CLI, mainly because I don't want to spend on credits when I've already got a CC subscription.

EDIT: To clarify, I realize there are skill files that can be used with Claude directly, but the snapshot analysis model seems to require a key. Any way to route that effort through Claude Code itself, such as for example exporting the raw snapshot to a file and instructing Claude Code to use a built-in subagent instead?

Why did you choose this plan in place of a fixed price plan?

How is this on the front page? This reads like pure AI slop. It feels like an insult to the reader.

OP: if you thought you had something useful to say, why didn’t you write it in your own words. There’s no useful content I can discern while reading this post.

FastRender may not be a production-ready browser, but it represents over a million lines of Rust code, written in a few weeks, that can already render real web pages to a usable degree

I feel that we continue to miss the forest for the trees. Writing (or generating) a million lines of code in Rust should not count as an achievement in and of itself. What matters is whether those lines build, function as expected (especially in edge cases) and perform decently. As far as I can tell, AI has not been demonstrated to be useful yet at those three things.

That’s not what I meant. What I’m asking is whether there’s any evidence that the latest “techniques” (such as Ralph) can actually lead to high quality results both in terms of code and end product, and if so, how.

This is exactly the issue I have with what I'm seeing around: lots of "here's something impressive we did" but nearly nothing in terms of how it was actually achieved in clear, reproducible detail.

Your point is fair, but it rests on a major assumption I'd question: that the only limit lies with the user, and the tooling itself has none. What if it’s more like “you can’t squeeze blood from a stone”? That is, agentic coding may simply have no greater potential than what I've already tried. To be fair I haven't gone all the way in trying to make it work but, even if some minor workarounds exist, the full promise being hyped might not be realistically attainable.

So far I've found https://github.com/jae-jae/fetcher-mcp which mostly does what I want, but it only started working well when I asked Codex to run it with `disableMedia: false`.

How do you prevent DoS attacks?

This is about Groq (the semiconductor company), not Grok (xAI’s LLM).

No experience in the field, other than 2048, so take this with a grain of salt.

In my opinion it’s about your ethical stance and who your target audience is, and whether you’re trying to make a ton of money or just enough to survive. You’re obviously going to fight an uphill battle if you don’t employ any such (predatory?) marketing tactics. However, you could position yourself as explicitly standing against those and that might attract a smaller but loyal user base.

If you’re lucky, and build something good, and people talk about it, you might find that you’ll get users regardless. However, at the end of the day, what matters is whether you can keep the lights on, so you may have to relax some of your stances and rules or find ways to market your product that don’t fall into the categories you’ve described.

How does Opus 4.5 compare to gpt-5.1-codex-max?

This one’s hilarious. What was your prompt?

Can you point out the issues with the article?

I really struggle to wrap my head around how this engine works. I haven’t used it, but I have experience with Source 1 and its systems and I imagine Source 2 is an extrapolation of that. But I really can’t wrap my head around how they’ve turned it into a scene-based game engine when Source 2 is map-based, how they’ve managed to build a completely different editor that still leverages Hammer maps somehow, and all the other stuff.

I haven’t heard about his views on Russia but that’s worth looking into since I also have his books.

Just a quick nitpick as a fellow Italian: “delusion” (“illusione”) is a false friend of “delusione.” Maybe you meant “disappointment”!