Orchestrating AI code review at scale
(news.ycombinator.com)
211.
212.
Innovation starts in schools — lessons from China
(feeds.nature.com)
213.
Norway's 2 petabytes of Huawei flash storage and LLM training
(news.ycombinator.com)
214.
How New AI Breakthroughs Are Helping Entrepreneurs Cut Costs and Scale Faster
(feeds.feedburner.com)
215.
216.
Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems
(news.ycombinator.com)
217.
Use boring languages with LLMs
(news.ycombinator.com)
218.
Use Boring Languages with LLMs
(news.ycombinator.com)
219.
220.
AI has a multiplying effect on existing technical skills
(news.ycombinator.com)
221.
The AI Elephant in the Room
(news.ycombinator.com)
222.
The literary world isn’t prepared for AI
(theverge.com)
223.
224.
I’m an AI Engineer — These Are the Mistakes I See Every Company Make When Adopting AI
(feeds.feedburner.com)
225.
Tough peer-review process? Your paper might end up being more highly cited
(feeds.nature.com)
227.
228.
Will AI cause mass political polarization? Maybe not
(feeds.feedburner.com)
229.
An AI system to help scientists write expert-level empirical software
(feeds.nature.com)
230.
‘It is incredible’: How AI is transforming mathematics
(feeds.nature.com)
231.
232.
233.
Voice AI Systems Are Vulnerable to Hidden Audio Attacks
(news.ycombinator.com)
234.
An Entire Wikipedia That's 100% AI Hallucinations
(slashdot.org)
235.
236.
δ-mem: Efficient Online Memory for Large Language Models
(news.ycombinator.com)
237.
Δ-Mem: Efficient Online Memory for Large Language Models
(news.ycombinator.com)
238.
What are AI tarpits? Understanding the tools people are using to poison LLMs
(feeds.feedburner.com)
239.
Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution
(news.ycombinator.com)
240.
ArXiv to Ban Researchers for a Year if They Submit AI Slop
(slashdot.org)