331.
332.
Kevin O’Leary: CEOs who blindly pursue AI are ‘dead in the water’
(feeds.feedburner.com)
333.
The Jellies That Evolved a Different Way to Keep Time
(news.ycombinator.com)
334.
How CISOs Can Survive the Era of Geopolitical Cyberattacks
(bleepingcomputer.com)
335.
Mind-altering substances are (still) falling short in clinical trials
(technologyreview.com)
336.
The New York Congressional Race Turning Into a Bitter AI War
(feeds.content.dowjones.io)
337.
Chemical pollutants are rife across the world’s oceans
(feeds.nature.com)
338.
339.
341.
Waymo Safety Impact
(news.ycombinator.com)
342.
AI is rewriting business in real time—and most leaders aren’t ready
(feeds.feedburner.com)
343.
344.
345.
Marc Andreessen is a philosophical zombie
(theverge.com)
346.
Stanford Researchers Analyzed 391,562 AI Chatbot Messages. What They Found Is Disturbing.
(feeds.feedburner.com)
347.
348.
Inside a $1.1B deal to reshore critical minerals refining
(techcrunch.com)
349.
350.
Theodosian Land Walls of Constantinople
(news.ycombinator.com)
351.
353.
Faster ticking of ‘biological clock’ predicts shorter lifespan
(feeds.nature.com)
354.
Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training
(news.ycombinator.com)
355.
A look at content scrambling in DVDs
(news.ycombinator.com)
356.
How Welcoming Disagreement Can Make You a Stronger, More In-Control Leader
(feeds.feedburner.com)
357.
358.
Wide logging: Stripe's canonical log line pattern
(news.ycombinator.com)
359.
360.
Lent and Lisp
(news.ycombinator.com)
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