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Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•3m ago•0 comments

Sid Meier's System for Real-Time Music Composition and Synthesis

https://patents.google.com/patent/US5496962A/en
1•GaryBluto•11m ago•1 comments

Show HN: Slop News – HN front page now, but it's all slop

https://dosaygo-studio.github.io/hn-front-page-2035/slop-news
3•keepamovin•12m ago•1 comments

Show HN: Empusa – Visual debugger to catch and resume AI agent retry loops

https://github.com/justin55afdfdsf5ds45f4ds5f45ds4/EmpusaAI
1•justinlord•14m ago•0 comments

Show HN: Bitcoin wallet on NXP SE050 secure element, Tor-only open source

https://github.com/0xdeadbeefnetwork/sigil-web
2•sickthecat•16m ago•1 comments

White House Explores Opening Antitrust Probe on Homebuilders

https://www.bloomberg.com/news/articles/2026-02-06/white-house-explores-opening-antitrust-probe-i...
1•petethomas•17m ago•0 comments

Show HN: MindDraft – AI task app with smart actions and auto expense tracking

https://minddraft.ai
2•imthepk•22m ago•0 comments

How do you estimate AI app development costs accurately?

1•insights123•23m ago•0 comments

Going Through Snowden Documents, Part 5

https://libroot.org/posts/going-through-snowden-documents-part-5/
1•goto1•23m ago•0 comments

Show HN: MCP Server for TradeStation

https://github.com/theelderwand/tradestation-mcp
1•theelderwand•26m ago•0 comments

Canada unveils auto industry plan in latest pivot away from US

https://www.bbc.com/news/articles/cvgd2j80klmo
2•breve•27m ago•1 comments

The essential Reinhold Niebuhr: selected essays and addresses

https://archive.org/details/essentialreinhol0000nieb
1•baxtr•30m ago•0 comments

Rentahuman.ai Turns Humans into On-Demand Labor for AI Agents

https://www.forbes.com/sites/ronschmelzer/2026/02/05/when-ai-agents-start-hiring-humans-rentahuma...
1•tempodox•31m ago•0 comments

StovexGlobal – Compliance Gaps to Note

1•ReviewShield•34m ago•1 comments

Show HN: Afelyon – Turns Jira tickets into production-ready PRs (multi-repo)

https://afelyon.com/
1•AbduNebu•35m ago•0 comments

Trump says America should move on from Epstein – it may not be that easy

https://www.bbc.com/news/articles/cy4gj71z0m0o
6•tempodox•36m ago•2 comments

Tiny Clippy – A native Office Assistant built in Rust and egui

https://github.com/salva-imm/tiny-clippy
1•salvadorda656•40m ago•0 comments

LegalArgumentException: From Courtrooms to Clojure – Sen [video]

https://www.youtube.com/watch?v=cmMQbsOTX-o
1•adityaathalye•43m ago•0 comments

US moves to deport 5-year-old detained in Minnesota

https://www.reuters.com/legal/government/us-moves-deport-5-year-old-detained-minnesota-2026-02-06/
7•petethomas•46m ago•2 comments

If you lose your passport in Austria, head for McDonald's Golden Arches

https://www.cbsnews.com/news/us-embassy-mcdonalds-restaurants-austria-hotline-americans-consular-...
1•thunderbong•51m ago•0 comments

Show HN: Mermaid Formatter – CLI and library to auto-format Mermaid diagrams

https://github.com/chenyanchen/mermaid-formatter
1•astm•1h ago•0 comments

RFCs vs. READMEs: The Evolution of Protocols

https://h3manth.com/scribe/rfcs-vs-readmes/
3•init0•1h ago•1 comments

Kanchipuram Saris and Thinking Machines

https://altermag.com/articles/kanchipuram-saris-and-thinking-machines
1•trojanalert•1h ago•0 comments

Chinese chemical supplier causes global baby formula recall

https://www.reuters.com/business/healthcare-pharmaceuticals/nestle-widens-french-infant-formula-r...
2•fkdk•1h ago•0 comments

I've used AI to write 100% of my code for a year as an engineer

https://old.reddit.com/r/ClaudeCode/comments/1qxvobt/ive_used_ai_to_write_100_of_my_code_for_1_ye...
2•ukuina•1h ago•1 comments

Looking for 4 Autistic Co-Founders for AI Startup (Equity-Based)

1•au-ai-aisl•1h ago•1 comments

AI-native capabilities, a new API Catalog, and updated plans and pricing

https://blog.postman.com/new-capabilities-march-2026/
1•thunderbong•1h ago•0 comments

What changed in tech from 2010 to 2020?

https://www.tedsanders.com/what-changed-in-tech-from-2010-to-2020/
3•endorphine•1h ago•0 comments

From Human Ergonomics to Agent Ergonomics

https://wesmckinney.com/blog/agent-ergonomics/
1•Anon84•1h ago•0 comments

Advanced Inertial Reference Sphere

https://en.wikipedia.org/wiki/Advanced_Inertial_Reference_Sphere
1•cyanf•1h ago•0 comments
Open in hackernews

Caveat Prompter

https://surfingcomplexity.blog/2025/10/12/caveat-promptor/
12•azhenley•3mo ago

Comments

fluxusars•3mo ago
This is no different from reviewing code from actual humans: someone could have written great looking code with excellent test coverage and still have missed a crucial edge case or obvious requirement. In the case of humans, there's obvious limits and approaches to scaling up. With LLMs, who knows where they will go in the next couple of years.
greatgib•3mo ago
It is, because a human would have used "thinking" to create this piece of code. There could be error and mistakes but at least you know there there is a human logic behind and you just have to check for things that can easy mistakes for a human.

With AI, in the current state at least, there is no global logic involved with the whole thing that was created. It is a random set of probabilities that generated a somehow valid code. But there is not a global "view" about it that it makes sense.

So when reviewing, you will basically have to do in your head the same mental process as would have done an original human contributor to check that the whole thing makes sense in the first place.

Worst than that, when reviewing such change, you should imagine that the AI probably generated a few invalid versions on the code and randomly iterated until there is something that passed the "linter" definition of valid code.

ofrzeta•3mo ago
Even that screenshot is bogus. When there's no understanding there can be no misunderstanding either. It's misleading to treat the LLM like there is understanding (and for the LLMs themselves to claim they do, although this anthropomorphization is part of their success). It's like asking the LLM "do you know about X?" It just makes no sense.
satisfice•3mo ago
In order to get the full benefit of AI we must apply it irresponsibly.

That’s what it boils down to.

stavros•3mo ago
Which has also always been the same with people.
satisfice•3mo ago
That’s what AI fanboys say every single time I make this point. But “it’s the same for humans” argument only works if you are referring to little children.

Indeed, my airline pilot brother once told me that a carefully supervised 7 year old could fly an airliner safely, as long as there was no in-flight emergency.

And indeed hiring children, who are not accountable for their behavior, does create a supervision problem that can easily exceed the value you may get, for many kinds of work.

I can’t trust AI the way I can trust qualified adults.

stavros•3mo ago
Well, you employ different adults than I do, then. Every person I know (including me) can be either thorough, or fast, as the post says, and there's no way to get both.
phinnaeus•3mo ago
At first I thought this was a typo, but actually I fully agree with this. If we use LLMs (in their current state) responsibly we won’t see much benefit, because the weight of that responsibility is roughly equivalent to the cost of doing the task without any assistance.