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4 votes
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Introducing WebGPU support for llama.cpp
12 votes -
Outsourcing plus local AI will soon become more economical vs frontier labs
23 votes -
Is AI profitable yet?
68 votes -
Criticizing Eric Schmidt, ex-Google/Alphabet CEO - Casey Muratori
13 votes -
Actually useful MCPs
I'm a web developer and find the playwright MCP to be genuinely useful. My LLM is able to navigate my site, measure the size of elements, see console errors, network requests, etc. This is the...
I'm a web developer and find the playwright MCP to be genuinely useful. My LLM is able to navigate my site, measure the size of elements, see console errors, network requests, etc. This is the only MCP I've ever installed and haven't yet had any cause to use others. But I'm interested in hearing what other professionals are using.
28 votes -
I think Anthropic and OpenAI have found product-market fit
32 votes -
If you let AI do your writing, I will come to your house and kill you
78 votes -
Language models are weird for the same reason human cultures are weird
26 votes -
The silent critic
3 votes -
The pressure
12 votes -
Import AI 458: Reckoning with the future; and a singularity story
4 votes -
Erin Brockovich launches a crowdsourced AI data center map
27 votes -
Project Glasswing: An initial update
24 votes -
Bank boss sorry after describing workers as 'lower value human capital'
27 votes -
Samsung chip workers to get $340,000 average bonus in AI boom
26 votes -
AI is killing the cheap smartphone
22 votes -
I made my own Reddit alternative
39 votes -
How I feel about LLM (AI) writing
I love writing, it's one of the most human things about humanity. It's communication, art and sharing all at once. It's been fundamental to culture and progress for 1000's of years. LLMs are, in a...
I love writing, it's one of the most human things about humanity. It's communication, art and sharing all at once. It's been fundamental to culture and progress for 1000's of years.
LLMs are, in a way, really good at writing. They have the larger part of human creative output distilled into their weights. So it was inevitable that more and more people would start publishing articles and blog posts written (all or in part) by AI agents.
I don't like it but I accept it, there really isn't anything I can do about it. What I was hoping, though, is that high signal to noise ratio places on the internet (Tildes among them) would reject it and we could go on consuming 100% organic prose, at least for a while.
And for while that's exactly what happened. In techy places like Hacker News, AI posts were quickly flagged and downvoted into oblivion. At Tildes they mostly didn't show up at all, or if they did I missed them.
That seems to be ending though. Now I see agent written pieces on the front page of HN with 100's of comments. There's always a highly upvoted comment pointing out that the piece is slop, but you have to scroll to find it.
The reason I use HN as an example is that it's full of people with extensive experience using AI agents who are in a position to tell if something is slop. And it looks like the larger part of readers (or at least commenters) can't tell the difference anymore. If that's true at HN, it's going to be true everywhere.
It is getting harder to tell when something is slop, people are post editing, handwriting intros and getting better at prompting to remove obvious LLM tells. But if you have any practical experience with these tools, it's still pretty easy to tell. Somewhere during post training certain patterns end up getting heavily favored. Interestingly, many of them happen across all of the frontier models. Em-dashes are the most famous but there are so many more. Most are rhetorical tricks or formatting patterns rather than punctuation.
Reading LLM prose, many of the tropes don't stand out at first, instead they land as strong writing. But after you see them repeat enough times they start to become obvious. Even putting the tropes aside, the hallmark of a lot of LLM writing is that it's more rhetoric than substance. Low signal, lots of noise.
I don't have a solution, it's starting to look like many (maybe most) people aren't going to be able to tell when they're consuming something that required minimal thought by the "author" who prompted the AI. Which is sad because, up until now, we could assume that, when we read something, someone cared enough to put time and mental bandwidth into creating it. That's become increasingly less true.
I suppose this post is me feeling wistful for the internet we used to have, written exclusively by humans. I continue to hope that people will reject slop at places like Tildes, but in order for them to do that they have to be able to identify it. Maybe people will get better at that, there is definitely a point where you've consumed enough slop that you can smell it from a mile away. But of course the slop is going to keep getting harder to detect.
I don't want to go as far as to say that slop will take over the internet, I think (hope) that people will keep wanting to read organic, human, writing. And that as a result we'll come up with strategies and solutions to support that.
It's a weird time. Right now every LLM blog post and article that goes viral is signalling to the prompter, and anyone watching who can tell what's happening, that there is demand for slop. And of course with demand comes profit. I think we're at the beginning of a steep curve.
44 votes -
Google Search as you know it is over
47 votes -
An OpenAI model has disproven a central conjecture in discrete geometry
35 votes -
OpenAI is preparing to file for an IPO in the coming weeks
22 votes -
Project Glasswing: what Mythos showed us
31 votes -
The boy that cried Mythos
33 votes -
Aurora: A leverage-aware optimizer for rectangular matrices
14 votes -
Energy supplier abandons Lake Tahoe residents to serve data centers
23 votes -
Cory Doctorow - The Reverse Centaur's Guide to Life After AI (Excerpt)
27 votes -
Bun has been rewritten in Rust
27 votes -
Gemini 3.2 Flash rumored to hit 92% of GPT-5.5 performance at lower cost
23 votes -
Di.gg AI preview
26 votes -
Overworked AI agents turn "marxist"
14 votes -
When Richard Dawkins met Claude
23 votes -
Most US doctors are quietly using the OpenEvidence AI tool. Few patients know about it.
16 votes -
Introducing Googlebook, designed for Gemini Intelligence
22 votes -
Multiple security bugs in Dnsmasq
10 votes -
San Francisco-based startup Andon Labs has put an artificial intelligence agent nicknamed “Mona” in charge at an experimental café in the Swedish capital
14 votes -
Mythos finds a curl vulnerability
31 votes -
Curl will end its bug bounty program by the end of January due to excessive AI generated reports
63 votes -
AI chatbots
9 votes -
Adversaries leverage AI for vulnerability exploitation, augmented operations, and initial access
5 votes -
‘The odds are not in our favour’: who sets the Doomsday Clock – and what can they tell us about the future of humanity?
10 votes -
AI comes to Playtime; Artifical companions, real risks
11 votes -
Multi-Token Prediction (MTP) with Gemma 4
20 votes -
OpenAI's WebRTC problem
10 votes -
Teaching Claude why
17 votes -
AI is breaking two vulnerability cultures
19 votes -
Behind the scenes hardening Firefox with Claude Mythos Preview
20 votes -
New AI data center in Utah will generate and consume more than twice the amount of power the entire state uses
46 votes -
Pawmometer uses real-time weather data to estimate ground temps and flag unsafe surfaces for dogs
16 votes -
Deepfakes are coming for your bank account
10 votes