Hacker News

Article URL: https://www.wsj.com/economy/consumers/american-incomes-hit-record-last-year-as-women-gained-ground-304ed2fd

Comments URL: https://news.ycombinator.com/item?id=49721529

Points: 1

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Article URL: https://github.com/Hash-7777/HashNotch/releases/tag/v1.5.0

Comments URL: https://news.ycombinator.com/item?id=49721520

Points: 1

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Article URL: https://sufficientlyadvanced.blog/ai-is-not-going-to-kill-you/

Comments URL: https://news.ycombinator.com/item?id=49721514

Points: 2

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Article URL: https://gods.art/articles/equation_shadows

Comments URL: https://news.ycombinator.com/item?id=49721507

Points: 1

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Article URL: https://www.politico.com/news/2026/09/15/elon-musk-antitrust-apple-openai-01078840

Comments URL: https://news.ycombinator.com/item?id=49721504

Points: 6

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Article URL: https://books.google.com/books/about/A_History_of_Mathematics.html

Comments URL: https://news.ycombinator.com/item?id=49721502

Points: 1

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I know I can simply ask myaAgent or Google this question but would prefer to ask HN for any practical real examples used day to day.

Question: For the people who build agentic workflows, how do I implement a ML habit where the agent learns from itself, can iterate and improve on it's own? I would still oversee and validate but would love to learn ML implementation to agents. Am I just overthinking this and can write it in the prompt? Any help is appreicated!

Comments URL: https://news.ycombinator.com/item?id=49721483

Points: 1

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Article URL: https://zzxio.com/about-us/sony-smc-70/

Comments URL: https://news.ycombinator.com/item?id=49721470

Points: 1

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Article URL: https://www.nytimes.com/2026/09/14/world/europe/moscow-russia-putin-digital-surveillance.html

Comments URL: https://news.ycombinator.com/item?id=49721463

Points: 1

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Article URL: https://marginalia-search.com/

Comments URL: https://news.ycombinator.com/item?id=49720957

Points: 1

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Article URL: https://www.aljazeera.com/news/2026/9/15/internet-shutdown-crosses-100-days-in-pakistan-administered-kashmir

Comments URL: https://news.ycombinator.com/item?id=49720946

Points: 1

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Article URL: https://twitter.com/theallinpod/status/2099731166530277549

Comments URL: https://news.ycombinator.com/item?id=49720938

Points: 1

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Article URL: https://daringfireball.net/2026/09/thoughts_and_observations_on_apples_surprise_and_shine_event

Comments URL: https://news.ycombinator.com/item?id=49720913

Points: 1

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Article URL: https://www.nytimes.com/2026/09/15/technology/senate-blocks-crypto-bill.html

Comments URL: https://news.ycombinator.com/item?id=49720903

Points: 1

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Article URL: https://www.gnu.org/software/coreutils/rejected_requests.html

Comments URL: https://news.ycombinator.com/item?id=49720895

Points: 3

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Article URL: https://www.youtube.com/watch?v=yC4RKUyUt1Y

Comments URL: https://news.ycombinator.com/item?id=49720882

Points: 1

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I wanted an easy way to see what was actually new AND usable on the web, something I wished caniuse had, so I made it (with AI assistance). I hope others can find some use as well!

Comments URL: https://news.ycombinator.com/item?id=49720877

Points: 1

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Article URL: https://ktslaw.com/insights/alert/2026/4/recent-decisions-spark-questions-on-generative-ai-privilege-and-privacy-expectations

Comments URL: https://news.ycombinator.com/item?id=49720873

Points: 1

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Article URL: https://contrails.org/

Comments URL: https://news.ycombinator.com/item?id=49720858

Points: 1

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Article URL: https://inspire.eaa.org/2019/05/16/landing-the-space-shuttle-an-incredible-flying-machine-and-the-thrill-of-a-lifetime/

Comments URL: https://news.ycombinator.com/item?id=49720854

Points: 1

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