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3D Japan

https://twitter.com/i/status/2061314177399169040
1•marklit•2m ago•0 comments

Global stock markets fall as concerns persist over tech firms

https://www.theguardian.com/business/2026/jun/08/stock-markets-fall-tech-firms-ai-boom-oil-prices...
1•01-_-•4m ago•0 comments

An easter egg in the new Lego Batman

https://social.panic.com/@cabel/116710623616975906
1•robin_reala•4m ago•0 comments

Free and private AI chat from DuckDuckGo

https://duck.ai/
1•strzibny•5m ago•0 comments

Greenwald density limit isn't a hard wall: density-free regime seen on EAST

https://www.science.org/doi/10.1126/sciadv.adz3040
1•nryoo•5m ago•0 comments

'Poisoned' AI: the ChatGPT shopping scams that lead to fake websites

https://www.theguardian.com/money/2026/jun/07/ai-chatgpt-shopping-scams-fake-websites
1•01-_-•5m ago•0 comments

AI bills can be as big as a postdoc salary. Is the cost worth it?

https://www.nature.com/articles/d41586-026-01369-z
1•giuliomagnifico•12m ago•0 comments

History of CentOS

https://www.theregister.com/os-platforms/2026/06/08/history-of-centos-how-a-biochemists-linux-hob...
1•sohkamyung•13m ago•0 comments

Show HN: Veritrooper – find what your AI gets wrong about your own docs

https://veritrooper.com/
1•brian8620•13m ago•0 comments

Some Uses of { and }

https://www.jsoftware.com/papers/from.htm
1•tosh•15m ago•0 comments

Show HN: Tinytasktree – Behavior-tree-style task orchestration for LLM agents

https://github.com/orion-arm-ai/tinytasktree
1•hit9•16m ago•0 comments

The Cursor Developer Habits Report

https://cursor.com/insights
1•nsoonhui•17m ago•0 comments

Prompt Injection in RAG Agentic Systems

https://ulad.net/prompt-injection-in-rag-agentic-systems/
1•delduca•18m ago•0 comments

The EU CHIPS Act Is a Failure [video]

https://www.youtube.com/watch?v=eqoX9OIR-DI
1•obscurette•18m ago•0 comments

The lost social infrastructure of work

https://www.science.org/doi/10.1126/science.aeh9559
1•pseudolus•18m ago•0 comments

BastionRoute A WebSocket relay fabric for UDP with zero-inbound ports

https://github.com/klauscam/BastionRoute
1•klauscam•19m ago•0 comments

Ask HN: How do you stay focused while working from home?

2•infoinlet•19m ago•4 comments

Bonzi Buddy

https://en.wikipedia.org/wiki/BonziBuddy
1•ColinWright•21m ago•0 comments

Wonderwerk Cave bones reveal possible fire use by human ancestor 1.79M years ago

https://phys.org/news/2026-06-wonderwerk-cave-bones-reveal-human.html
2•pseudolus•22m ago•0 comments

Show HN: Makememe – a meme CLI for your Claude Code

https://github.com/dhruvmehra/makememe
1•dhruvme•24m ago•1 comments

A Dialog on APL (2015)

https://www.dyalog.com/blog/2015/05/a-dialog-on-apl/
1•tosh•25m ago•0 comments

Premature Optimization Is Fun Sometimes

https://invlpg.com/posts/2025-06-19-premature-optimization.html
1•throawayonthe•25m ago•0 comments

Blaise v0.10.0 (alpha) – Incremental compile, Native Back end and more

https://github.com/graemeg/blaise/releases/tag/v0.10.0
1•mariuz•25m ago•0 comments

OpenAI wants shopping in ChatGPT. Wassist raises $1.1M to keep it on WhatsApp

https://techfundingnews.com/openai-wants-shopping-in-chatgpt-wassist-raises-1-1m-to-keep-it-on-wh...
1•joshwarwick15•26m ago•0 comments

Becoming yourself is a social project

https://velvetnoise.substack.com/p/becoming-yourself-is-a-social-project
1•jger15•27m ago•0 comments

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

https://github.com/shamikhan005/chunks-sync
1•shamikhan005•29m ago•0 comments

Compiling APL to JavaScript (2014)

https://web.archive.org/web/20150114032647/https://archive.vector.org.uk/art10501160
1•tosh•32m ago•0 comments

Sendzap-One click to WhatsApp. No saved contacts required

https://apps.apple.com/in/app/sendzap/id6770007484
1•kauntech•32m ago•0 comments

Replies to comments on my "LLMs are eroding my career" post

https://human-in-the-loop.bearblog.dev/replies-to-comments-on-my-llms-are-eroding-my-career-post/
3•omblivion•35m ago•1 comments

Software for Converting the OST File to PST Format

https://apps.microsoft.com/detail/9p62fq9z8x7p?hl=en-US&gl=US
1•tieanderson•35m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•1y ago
After months playing with LLM models, here's my observation:

- LLM is basically useless without explicit intent in your prompt.

- LLM failed to correct itself. If it generated bullshits, it's an inifinite loop of generating more bullshits.

The question is, without explicit prompt, could LLM leverage all the best practices to provide maintainable code without me instruct it at least ?

Comments

ben_w•1y ago
Your expectations are way too high.

> - LLM is basically useless without explicit intent in your prompt.

You can say the same about every dev I've worked with, including myself. This is literally why humans have meetings rather than all of us diving in to whatever we're self-motivated to do.

What does differ is time-scales of the feedback loop with the management:

Humans meetings are daily to weekly.

According to recent research*, the state-of-the-art models are only 50% accurate at tasks that would take a human expert an hour, or 80% accurate at tasks that would take a human expert 10 minutes.

Even if the currently observed trend of increasing time horizons holds, we're 21 months from having an AI where every other daily standup is "ugh, no, you got it wrong", and just over 5 years from them being able to manage a 2-week sprint with an 80% chance of success (in the absence of continuous feedback).

Even that isn't really enough for them to properly "leverage all the best practices to provide maintainable code", as archiecture and maintainability are longer horizon tasks than 2-week sprints.

* https://youtu.be/evSFeqTZdqs?si=QIzIjB6hotJ0FgHm

revskill•1y ago
It's not as high as you think.

LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

ben_w•1y ago
Given your expectation:

> It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

And your observation:

> LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

QED, *your expectations* are way too high.

They can't do that yet.