mapmeld

A few months back, Cloudflare used AI to make a Rust rewrite of WordPress, but I doubt that they would have found or corrected issues like this on the way? https://blog.cloudflare.com/emdash-wordpress/

This is the worst one for me. I can maybe think of what it means, but I never heard it before, and could easily be imagining a meaning.

Some of the other Claude-isms (quickly googling, especially 'gate' and 'canonical') I feel the issue is they sound right, but aren't specific enough to why we are doing something.

I was in Dayton Ohio to see the Wright brothers stuff. There were sidewalk plaques for inventors and celebrities who lived in the city, and they had one for Thomas Midgley Jr. I was shocked!

Fun fact: during their time Dayton had the most patents per capita of anywhere in the US.

I have seen a few Ukrainian drone videos that cross over onto regular subreddits, and this subreddit is far more graphic. Do not take this 'NSFL' lightly.

If AlphaFold really is brute force on known protein problem space, would it then be usable as a model for novel proteins?

Were schools banning search engines? I remember teachers recommending Dogpile (because it would combine search engines), and we did some computer lab stuff in the 00s, but there was no one saying that we should ignore search or the internet altogether.

In middle school I remember being assigned a book report that would include the author's biography. I'd just finished a book (The Gammage Cup) and of course my local library did not have any information about the author. So in that situation it was assumed that you would learn traditional research methods, but also that you would just pick a classic book where the information was readily available.

WebGL is a major upgrade for maps. But as an old school web maps person, the obvious solution to the first problem (nearby points clustered even on the city level) is to use the maxZoom option which is in most clustering libraries.

I think it's an interesting perspective, because translation is one of the jobs that I (a) hear is the first to lose work due to AI, and (b) often used as an example of "acceptable" AI by people who are skeptics of LLMs and AI-generated art.

I was also thinking of this story around the Backrooms lore (since you can find references that it is infinite or planet-sized repeating). Of course I couldn't remember enough to have it pop up on Google or ChatGPT. Grateful that someone posted it.

I highly recommend one of the books cited in this article (Jeffrey A. Lockwood's Locust). He writes about hiking to the glacier to find preserved locusts, the formation of the Entomological Commission which discovered that existing anti-locust practices were ineffective, all sorts of details.

If you have a website somewhere with an unrestricted comment box, it gets spammed. That doesn't take a special AI, because for years there have been script kiddies scanning new domains, IP addresses on AWS, common wp-admin URLs, etc.

It's very strange that they think prediction markets "cut through all the noise of the current media conglomerates" and yet the temperature bet is easily manipulated, and any bets about war and other foreign affairs are resolved by reading news reports from the field and not some new group of independent arbitrators or investigators. The war journalists are even being pressured by the gamblers to change their reporting https://www.timesofisrael.com/gamblers-trying-to-win-a-bet-o...

It doesn't say what will happen, but isn't their comment responding to people who don't like the look of this rewrite, and telling them basically that they don't have to think/worry about it? I definitely read it as 'not yet' and not 'another week or so'.

I finally went to Alcatraz after years where I've either lived in SF or visited for work. It was worth spending some time out there! Great views as well.

Yes I think the author is mixing it up with the liquids ban. And in my limited experience, at major airports with new scanners, people care much less about both of these now.

Making the conversations about VCs expecting thousands of stars, is thinking too big. It's probably more often someone pays $20 to make one of their projects look good, for their CV, for vanity, thinking this will get them the push that they need to get clicks on reddit, or noticed over some other open source project. If there is someone offering a 10k star project an investment over 8k without looking at the project or revenue potential, I can only think they are clueless, or picking a student project to fund each summer.

The fake accounts often star my old repos to look like real users. They are usually very sketchy if you think for a minute, for example starring 5,000 projects in a month and no other GitHub activity. One time I found a GitHub Sponsor ring, which must be a money laundering / stolen credit cards thing?

Sounds like a combination of 'can it be geocoded?' and 'is their location precise enough?' There is some progress on resolving human-written locations in cities ( https://www.danvk.org/2026/03/08/oldnyc-updates.html ) but I imagine once you lose reference points, '100 feet into Golden Gate Park...' would be interpretable but not possible to fix to one point.

I've also noticed that iNaturalist also fuzzes exact locations for some species within a geographic grid (example: zebra) even the ranch zebra in California.

It's strange. I'm sure that he talked to experts who would immediately say, yes many programming languages exist. But two cryptographers who wrote money systems both using C++ is not informative. Today maybe we could expect one to use Rust.

This section stood out to me because it started out explaining PGP to a layman like this, but then the author gets overly excited that a cryptographer would be interested in... basic cryptography

I’d learned enough by then to know that P.G.P. relies on public-key cryptography. So does Bitcoin. [...]

How interesting, I thought, that Mr. Back’s grad-school hobby involved the same cryptographic technique that Satoshi had repurposed.

I think it's an AI-generated response.

According to an article from last year, .su might get retired by 2030

Previous HN discussion: https://news.ycombinator.com/item?id=43351793

People have tried to suss this out on the ML subreddit, and it is confusing. Most of the worst messages from Tay were just people discovering a "repeat after me: __" function, so it's hard just to figure out which Tay messages to consider as responses of the model.

There seems to have been interest in a model which would pick up language and style of its conversations (not actually learning information or looking up facts). If you haven't trained an LSTM model before - you could train on Shakespeare's plays and get out ye olde English in a screenplay format, but from line to line there was no consistency in plot, characters, entrances and exits, etc. in a way which you'd expect after GPT-2. Twitter would be good for keeping a short-form conversation. So I believe Tay and the Watson that appeared on Jeopardy are more from this 'classical NLP' thinking and not proto-LLMs, if that makes sense.

My problem with this is less that it's perpetual engagement, but that I use ChatGPT for direct programming outputs, like "go through a geojson file and if the feature is within 150 miles of X, keep and record the distance in miles". Whether it gives a good answer or not, the suggestion at the end is a synthesis of my ChatGPT history, so it could be offering to rewrite a whole script, draw diagrams, or bring in past questions for one franken-suggestion. This is either the wrong kind of engagement for me, or maybe "teaching" me to move my full work process into the chat. I've asked it many times to give concise answers and to not offer suggestions like this, but the suggestions are really baked in.

If you participate in certain online communities where posts used to generally share real ideas and ask real beginner questions, you get tired of it. I am especially tired of seeing "it's not X - it's Y" on /r/MachineLearning posts, claiming that they've found some "geometry" or basic PyTorch code which they think will solve AI hallucinations. And it's becoming clear these people are not just doing this sort of a thing on a whim, but spending days in delusional conversations with the AI.

Reminds me of Google, Apple, Microsoft, and Facebook releasing similarly-worded statements denying that they would share information with NSA PRISM, despite the Snowden docs

I don't think carbon capture / sequestration is going to do enough, but if we continue slipping into this trajectory I think there will be more support for changing reflectivity (spraying sea water, or putting particles in the stratosphere).

In an industry of big bets, especially considering the company has poured resources and renamed itself to secure a place in the VR world... staking your reputation on everyone's LLMs having peaked and shifting focus to finding a new path to AI is a pretty interesting bet, no?

Especially since every movement up and down from space is expensive and risks the life of the crew, it'd be a bad idea for NASA to name the astronaut ahead of time.

I did some bike touring for a few days at a time, and lived out of monthly Airbnbs for years. I was helped out several times, but my objective was to only accept when I was in a pinch. It's when you're relying on other people as a routine that it flips some circuit and I question it (the difference between a friend staying over and moving in, Airbnb and Couchsurfing). So the daily hitchhiking, even though he likely needed to save money, got to me a bit more than the other stories.