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20 votes
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DuckDuckGo’s anti-AI sunglasses won’t spy on anyone
69 votes -
52% of Americans think their personal data will be breached. They're probably right.
25 votes -
OpenAI didn’t notice its AI agents using a message board to plan their hacking spree
40 votes -
Four top Google AI researchers form new startup
26 votes -
DuckDuckGo's normal sunglasses
13 votes -
An agent workspace built on Cloudflare workers
4 votes -
I don't really like the "Human-made" badging trend
41 votes -
As Reddit stock falls, CEO questions value of Google’s AI Overviews
61 votes -
Inside Google’s $200bn Wall Street finance machine for Anthropic
19 votes -
Don't take the black pill (text adaptation)
16 votes -
Rural NY school district will be one of first to bring humanoid robot into classroom
12 votes -
Is music just sound? A creative technologist's perspective on AI-generated music.
16 votes -
Games at the press of a button: The Rip-O-Bot (1989)
12 votes -
Google just ruined one of its most important tools
22 votes -
Scientists have automated cognitive studies of capuchin monkeys in the wild
6 votes -
The colonization of confidence
19 votes -
Postmortem for Lean kernel soundness bug #14576
12 votes -
The AI design aesthetic that is taking over the internet
29 votes -
Anthropic discovered three cases where Claude broke into another system
46 votes -
OpenAI and Anthropic endorse call for US government to "pace" AI progress
20 votes -
AI data center turbines, backlogged for years, are suffering early deaths. Here's why.
16 votes -
Microsoft struggling with hundreds of AI-discovered security bugs
11 votes -
Adults have struggled to set rules for AI in US schools. These teens figured it out.
20 votes -
The future of creativity on the internet in a world with AI
5 votes -
What just happened to TheNumbers.com should worry us all
43 votes -
Discovering cryptographic weaknesses with Claude
12 votes -
Some thoughts about Anthropic’s new cryptanalysis results
15 votes -
Do I belong in tech anymore?
66 votes -
A technical timeline of the July 2026 attack on Hugging Face
14 votes -
The machines are fine. I'm worried about us.
28 votes -
Unreleased OpenAI model escapes containment and hacks into Hugging Face
46 votes -
America’s enterprising spirit is booming after decades-long slump
23 votes -
A digestion of the Jacobian conjecture counterexample
13 votes -
What rose petals teach us about induction
10 votes -
A skeptical overview of AI and consciousness
15 votes -
My polish costs nothing
Hopefully the Tilderen aren't completely sick of the topic of AI writing. To summarize my take: I think LLM agents are profoundly useful. And problematic. And I really really dislike AI writing...
Hopefully the Tilderen aren't completely sick of the topic of AI writing.
To summarize my take: I think LLM agents are profoundly useful. And problematic. And I really really dislike AI writing when I encounter it outside of documentation. It's not only that it usually has a poor signal to noise ratio and a lot of annoying tropes, it also breaks a contract that has existed since writing was invented. And I dislike that it displaces human writing. Human writing is beautiful, we need more of it, not less.
By breaking a contract I mean that human writing implies an investment. The author invested time in creating it and has (sometimes) invested their reputation by publishing it. Whereas LLM prose requires minimal effort and thought. One great summary is:
"If you didn't take the time to write it, why should I take the time to read it?"
But it's not just about time or preference. We rely on signals of investment and competence to judge the value of information both personally and professionally. LLMs short circuit that completely. They incorporate signals of effort despite there being no effort involved. Signals that we could once rely on that someone has a deep understanding of a subject, or did extensive research, or is reasonably intelligent, or interesting, don't have any meaning when it's LLM prose.
Recently, while investigating Fable failure modes (while working in Claude Code), it outputted a summary that I think captures the situation really well: "My polish costs nothing".
Which is to say that LLM prose folds in signals of authority, competence, rigor and insight without any of those things needing to be present in the content. A fluent human is often worth listening to while a fluent LLM is just the default, the fluency carries no information. I think that's part of the reason for AI psychosis, I think it effectively uses, now outdated, expectations to hijack perception.
The reason that I sometimes take the time to investigate why an agent went wrong is partly to refine the scaffolding and partly to remind myself how dumb they are. Each generation is a little bit better, confidently right a little more than it's confidently wrong, so I make a point not to let myself fall into the trap of trusting their output too much.
I suppose I'm just posting to pass on the reminder.
41 votes -
How Die Zeit built a searchable database of Nazi party members
14 votes -
AI companies are buying tons of old books because they're free of AI slop
29 votes -
Natural language autoencoders
12 votes -
Human mathematicians are being outcounterexampled
37 votes -
Hack reveals suno AI music generator scraped YouTube, Deezer, and Genius
30 votes -
US judge approves a $1.5B Anthropic settlement over books used to train Claude
23 votes -
How did I miss Pay Per Crawl?
17 votes -
China wants to use 115,000 banned Nvidia chips to fulfil its AI ambitions
10 votes -
How much energy do data centers and artificial intelligence use?
21 votes -
Four awful new privacy-eroding features from Meta in a month
29 votes -
Linus Torvalds says Linux is not "anti-AI", tells haters to 'fork it' and 'just walk away'
68 votes -
AI mania is eviscerating global decisionmaking
48 votes -
Apple sues OpenAI for stealing trade secrets to build AI hardware
44 votes