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How Many People Have Ever Lived in the United States?

https://danielfetz.io/p/how-many-people-have-ever-lived-in-the-united-states
1•paulpauper•45s ago•0 comments

AI is 'not smart' so what's next in artificial intelligence?

https://www.bbc.com/news/articles/cj6gr0xkyr3o
1•1vuio0pswjnm7•2m ago•0 comments

Core dump epidemiology: fixing an 18-year-old bug

https://openai.com/index/core-dump-epidemiology-data-infrastructure-bug/
1•stopachka•3m ago•0 comments

I vibe coded a programming language, but I'd rather learn C the old way

1•alonsovm44•5m ago•0 comments

Some Basic LLM Etiquette

https://steenbok.space/blog/ai-etiquette/
1•sporkl_l•5m ago•0 comments

How AI Became More Expensive Than the Workers It Replaced [video]

https://www.youtube.com/watch?v=cfaZZPjA3g0
1•Bender•7m ago•0 comments

The Safari MCP server for web developers

https://webkit.org/blog/18136/introducing-the-safari-mcp-server-for-web-developers/
1•coloneltcb•8m ago•0 comments

Ask HN: Best Local LLM Setup for a 128GB M4 Max Mac Studio?

1•linzhangrun•8m ago•0 comments

Seeing and Being Seen

https://www.sambish.com/essays/seeing/
2•sambishop•8m ago•0 comments

Honorary Police

https://en.wikipedia.org/wiki/Honorary_Police
1•petethomas•10m ago•0 comments

What we learned when a user tried to load a 1 GB GML file in a browser

https://geodataviewer.com/blog/why-vector-tiles-for-large-gis-datasets/
2•twainyoung•17m ago•0 comments

The V Programming Language: A Revolutionary Approach to Modern Development

https://www.msn.com/en-us/news/technology/the-v-programming-language-a-revolutionary-approach-to-...
1•baranul•19m ago•0 comments

Open Source LLM Statistics and Trends (2026)

https://openllmstack.com/blog/open-source-llm-statistics/
1•sherlockxu•21m ago•0 comments

Microsoft's 90s Weapon That Made Windows Fast [video]

https://www.youtube.com/watch?v=jH0BYAkPj78
1•csense•23m ago•1 comments

Is tech ruining the World Cup?

https://www.bbc.com/audio/play/m002yq16
3•1vuio0pswjnm7•23m ago•0 comments

Epistemic Heat Death and the Signal-to-Noise Ratio of the Global Web

https://github.com/psyll/Epistemic-Heat-Death-and-the-Signal-to-Noise-Ratio-of-the-Global-Web
2•lioeters•24m ago•0 comments

Tesla's Electric Semi Has Its First Fatal Crash

https://www.forbes.com/sites/alanohnsman/2026/07/01/teslas-electric-semi-has-its-first-fatal-crash/
3•cdrnsf•25m ago•1 comments

Creating Joy in the User Experience

https://daveon.design/creating-joy-in-the-user-experience.html
2•thunderbong•26m ago•0 comments

TurboQuant can reduce vector index size by 10x at 100M Row Scale

https://github.com/pgvector/pgvector/pull/989
1•mxfeinberg•27m ago•0 comments

Google must pay record €4.1B (£3.5B) fine over antitrust issues

https://news.sky.com/story/google-must-pay-record-4-1bn-fine-over-antitrust-issues-13559819
2•geoffbp•32m ago•0 comments

North Korea patents soybean-based chocolate to bypass cocoa and sanctions

https://biz.chosun.com/en/en-society/2026/06/22/KBDUJI6IFJAIJODLXUAHV5IH3I/
3•mushstory•34m ago•0 comments

Giving admins more visibility and control over Claude spend

https://claude.com/blog/giving-admins-more-visibility-and-control-over-claude-usage-and-spend
2•geoffbp•39m ago•0 comments

Show HN: PriceProbe – zero-dependency competitor price tracker in Python

https://github.com/willylam2222-bot/priceprobe
1•l2602591158•39m ago•0 comments

Why build quantum computers if you can simulate them?

https://medium.com/@jkim_tran/why-build-quantum-computers-if-you-can-simulate-them-8fa87577b35f
1•jennifer-trin•42m ago•0 comments

CarPlay Is Additive

https://www.caseyliss.com/2026/7/2/carplay-is-additive-you-dolts
23•sprawl_•42m ago•18 comments

Show HN: Drop Flap Boards for All

https://dropflapboard.com
1•PaybackTony•44m ago•0 comments

Ease Comes After

https://easel.games/blog/2026-june-update
2•BSTRhino•53m ago•3 comments

The World's Top Economists Are Sounding the Alarm on AI

https://www.wsj.com/tech/ai/the-worlds-top-economists-are-sounding-the-alarm-on-ai-d99055b6
2•1vuio0pswjnm7•55m ago•2 comments

We should reduce the amount of generated information

https://www.bponnaluri.com/why-we-should-reduce-the-amount-of-generated-information/
2•gulugawa•57m ago•0 comments

LawZero: Safety from Honesty in a Disinterested AI Predictor

https://arxiv.org/abs/2606.29657
2•KingKunta•1h ago•0 comments
Open in hackernews

Top Tips for Writing Code with AI

https://brettdidonato.substack.com/p/top-5-tips-for-writing-code-with
2•bsdpython•1y ago

Comments

uberman•1y ago
Solid, particularly the advice about context. I find with AI, less is better. Once you have "enough" context, adding more increases the risk of problems. The one I take exception with is the last. "You don't need to understand what the AI wrote". I feel you absolutely do need to understand what the AI wrote and if you don't you should not commit it.
bsdpython•1y ago
Thanks. I know the last one is controversial, but the way I am starting to think about it is that we are just moving to a new layer of abstraction. I no longer understand very well how hardware works, nor do I know in detail how a browser renders a page, nor the full fine details of how many of the libraries I use work. My own AI generated code, in pockets, is starting to work in the same way. And I'm starting to become OK with that risk.
sherdil2022•1y ago
The implementations for those abstractions are well tested (hopefully). Committing code that we don’t thoroughly test or have an understanding about is going to bite us sooner than later. They are landmines. Not abstractions.
bsdpython•1y ago
Is it possible we hit a wikipedia moment (it being more accurate than Encyclopedias) where the quality of typical ai generated code is better than popular open source libraries?