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54 votes
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Who’s liable when your AI agent burns down production? How Amazon’s Kiro took down AWS for thirteen hours and why the ‘human error’ label tells you everything wrong about the agentic AI era.
45 votes -
Anthropic drops flagship safety pledge
52 votes -
The Claude C Compiler: what it reveals about the future of software
16 votes -
Why doesn’t Anthropic use Claude to make a good Claude desktop app?
27 votes -
A Japanese toilet maker and seasoning giant are unlikely winners of the AI boom
11 votes -
The AI disruption has arrived, and it sure is fun
29 votes -
Hold on to your hardware
46 votes -
Palantir was allegedly hacked, exposing CIA collusion and deep-rooted global surveillance/meddling
46 votes -
US data centers are getting off-grid power plants
15 votes -
The watchers: how OpenAI, the US government, and Persona built an identity surveillance machine that files reports on you to the feds
25 votes -
I hacked ChatGPT and Google's AI – and it only took twenty minutes
34 votes -
Which future?
7 votes -
The "AI god" narrative is actually a corporate power grab
43 votes -
AI fails at 96% of jobs (new study)
28 votes -
Giving my AI agent its own team and what that taught me about AI
16 votes -
OpenAI retired its most seductive chatbot – leaving users angry and grieving: ‘I can’t live like this’
15 votes -
Update on developer access and platform security | Spotify for Developers
10 votes -
Something big is happening
33 votes -
Google's quarterly report on adversarial use of AI for Q4 2025
11 votes -
Tell me that you've seen Moltbook, the AI to AI social network
11 votes -
GPT in 243 lines of pure python
14 votes -
The AI vampire
27 votes -
The hidden cost of AI art: Brandon Sanderson's keynote
52 votes -
‘So tired I want to cry’: AI promotional giveaways swamp shops in China
13 votes -
Why computers won’t make themselves smarter - Ted Chiang
25 votes -
'Control AI', a non-profit that ostensibly works to protect humanity from the risks of AI, is actually sponsoring influencers to divert public attention away from them
25 votes -
AI doesn’t reduce work—it intensifies it
41 votes -
TSMC to make advanced AI computer chips in Japan
17 votes -
AI hallucination cases - When lawyers use hallucinated legal content
25 votes -
Building a C compiler with a team of parallel Claudes
20 votes -
Is the detachment in the room? - Agents, cruelty, and empathy
15 votes -
Passing question about LLMs and the Tech Singularity
I am currently reading my way thru Ted Chiang's guest column in the New Yorker, about why the predicted AI/Tech Singularity will probably never happen...
I am currently reading my way thru Ted Chiang's guest column in the New Yorker, about why the predicted AI/Tech Singularity will probably never happen (https://www.newyorker.com/culture/annals-of-inquiry/why-computers-wont-make-themselves-smarter). ETA: I just noticed that article is almost 5 years old; the piece is still relevant, but worth noting.
Good read. Still reading, but so far, I find I disagree with his explicit arguments, but at the same time, he is also brushing up very closely to my own reasoning for why "it" might never happen. Regardless, it is thought-provoking.
But, I had a passing thought during the reading.
People who actually use LLMs like Claude Code to help write software, and/or, who pay close attention to LLMs' coding capabilities ... has anyone actually started experimenting with asking Claude Code or other LLMs that are designed for programming, to look at their own source code and help to improve it?
In other words, are we (the humans) already starting to use LLMs to improve their code faster than we humans alone could do?
Wouldn't this be the actual start of the predicted "intelligence explosion"?
Edit to add: To clarify, I am not (necessarily) suggesting that LLMs -- this particular round of AI -- will actually advance to become some kind of true supra-human AGI ... I am only suggesting that they may be the first real tool we've built (beyond Moore's Law itself) that might legitimately speed up the rate at which we approach the Singularity (whatever that ends up meaning).
19 votes -
The AI industry doesn’t take “no” for an answer
39 votes -
AI will compromise your cybersecurity posture
8 votes -
A guide to understanding AI as normal technology
10 votes -
Youtube channel ServeTheHome describes how they use a locally running LLM to automate data collection, allowing them to forgo a planned hire
20 votes -
Supporting Markdown search for LLMs
15 votes -
Evaluating LLMs by finding werewolves
18 votes -
Moltbot personal assistant goes viral – and so do your secrets
38 votes -
How AI assistance impacts the formation of coding skills
18 votes -
AntiRender: remove the glossy shine on architectural renderings
38 votes -
Someone made a social media website for AI agents
29 votes -
Pi: The minimal agent within OpenClaw
13 votes -
Dario Amodei — The adolescence of technology
5 votes -
Wilson Lin on FastRender: a browser built by thousands of parallel agents
18 votes -
Will your AI teammate bring bagels to standup?
19 votes -
The value of things
14 votes -
Why does ssh send 100 packets per keystroke?
28 votes -
Cory Doctorow | AI companies will fail. We can salvage something from the wreckage.
91 votes