I actually think Ed's indignity can outlast the market.

His indignity, I grant you. His ascending aorta and circle of Willis? I hear him speak on occasion.

Not low enough, unfortunely.

Ran into this recently with Ansible 2.17 which can no longer fully run (dnf/yum modules don't work) on EL8 targets due to platform-python being 3.6.

2.16 still works but goes EOL in May, when the OS is supported until 2029.

Feels like a very deliberate attempt to get you paying for Red Hat's version. On one hand I can't blame them, but on the other, that's never going to happen at my company.

Definitely feels like a nudge. "Oh, you're on EL?"

More of an own-goal than anything. This'll just push more to Shuttleworth.

Did you write your app using an LLM?

It's starting to rub off.

I hand-coded the UI and most of the app myself. However, I use AI for tedious functions, writing comments, or reviewing code. It’s a helpful assistant, but I’m in the driver’s seat.

Even all his replies are fishy lmao

"Well, I’m not a native English speaker, so sometimes I use LLM to give finishing touches to my text so that I can articulate better.

Editorialized headline. Article is:

> Astronomers have found the 'most promising signs yet' of alien life on a planet beyond our Solar System

Why? Where does the money come from? What's the product?

If AGI destroys millions of jobs, who is paying for products?

Oh believe me I'm right there with you but in the few timelines we don't all die this is clearly what's at stake. Altman can crown himself Emperor of the Galaxy...

Emperor, right. 1 month in jail and he gets back to his senses.

TOML is worse and even harder to read. I'd take YAML any day over TOML.

Yaml is a sad Icarus parable. The syntax is great but the type inference is too much. I don't see why we have to throw the baby out with the bathwater and settle for toml, though.

Here's how yaml's type inference should work:

- All object keys are strings (with or without quotes)

- Value atoms are parsed the exact same way as in JSON5

I'm kinda shocked this isn't a thing. StrictYAML is cool but a bit too cumbersome IMO.

This article is clearly written to the word count and not the overall content. A painful read.

I'm nearly certain that the images and the text are AI generated from other sources and perhaps tweaked a bit. The headings are the giveaway. Low signal-to-noise ratio.

Google search results is full of this stuff, but first time seeing it at the top of HN

The article says it was originally written in 1996. It's on the site of the Attention Deficit Disorders Association. The images are generic stock photography.

We did.

You need to add a disclaimer for this data. People could rely on them being accurate, and you simply can't prove they are.

There is a large disclaimer that states, among other things, "We strive to ensure accuracy and quality using authoritative sources and AI-based validation; however, we make no guarantees regarding completeness, accuracy, or timeliness. Always confirm nutritional data independently when accuracy is critical." on every page on the website where that kind of in-depth data is available.

At that point, if you are not sure a data point is accurate, should you really display it ? You have no proof appart from "The LLM said it was ok" which is kind of poor.

I disagree with the idea that data must be accompanied by a guarantee of accuracy to be used or published. That standard would rule out almost all datasets for which the underlying data is not programmatically generated.

My guess is that this dataset is probably more accurate on the whole than many datasets used by the kinds of calorie-tracking apps that outsource their collection of nutrition information to users. But an analysis would be required.

Regardless, the only workable approach is to describe the provenance of your data and explain what steps have been taken to ensure accuracy. Then anyone who wants to use the data can account for that information.

Break down into what? Is this also going to end up in my testicles?

It says "Leveraging the trace amounts of moisture in air, the broken-down PET is converted into monomers—the crucial building blocks for plastics. From there, the researchers envision the monomers could be recycled into new PET products or other, more valuable materials." I don't know if there's some enormous challenge hiding behind the word "envision", but I'm assuming it's a closed system until something useful comes out of the other end. The method just can't be a lot more expensive than to make the same thing/material from scratch or it's never going to gain traction.

Well let's truly hope that its not that much expensive

terephthalic acid and acetaldehyde (the paper: https://pubs.rsc.org/en/content/articlehtml/2025/gc/d4gc0591...)

If you're worrying about microplastics in your testicles, you're still underestimating how much plastic is in your body. Literally infants will already have microplastic in their blood at birth.