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SmarterChild, Long before ChatGPT, a generation learned how to talk to machines

https://slate.com/technology/2025/08/chatgpt-ai-llm-smarterchild-teens.html
1•Alifatisk•1m ago•0 comments

AI reshapes global labour market into two distinct paths, rewarding human skills

https://www.pwc.com/gx/en/news-room/press-releases/2026/pwc-2026-ai-jobs-barometer.html
1•layer8•3m ago•0 comments

Perfect code, zero ROI: How do you fix "conceptual bugs"?

1•inument•4m ago•0 comments

FIDO.md

https://a.sekor.eu.org/FIDO.md
1•modinfo•5m ago•0 comments

Japan and Korean Stock markets incredibly/dangerous growth

https://www.cnbc.com/quotes/.KS11
1•trilogic•5m ago•1 comments

The Cloud Has Sound: The Unrelenting and Unseen Cost of A.I. Data Centers

https://www.nytimes.com/2026/06/17/us/data-centers-noise-pollution.html
1•thm•7m ago•0 comments

I built a suite of 8 AI tools with $0/month in API costs using Nvidia Nim

https://jobeasyapply.com/blog/how-i-built-8-ai-tools-for-0-dollars-with-nvidia-nim
1•Maazkhanxo•7m ago•0 comments

Show HN: Conduit, Floss SSH/Mosh/SFTP Client (Android and iOS) Now on App Store

https://github.com/gwitko/Conduit
1•gwitko•9m ago•0 comments

Whole cross-sectional human ultrasound tomography

https://www.nature.com/articles/s41551-026-01660-4
1•lnyan•19m ago•0 comments

Deactivated Slack Profile Generator

https://eduardominguez.es/deactivatedslack/
1•e-Minguez•20m ago•0 comments

Efficient Backtesting for Rebalanced Investment Portfolios

https://medium.com/@DolphinDB_Inc/portfolio-backtesting-with-weight-files-1c88bc5950e0
2•Polly_Liu•20m ago•0 comments

Real-Time Portfolio Analytics with Declarative Stream Processing

https://medium.com/@DolphinDB_Inc/orca-declarative-stream-api-application-real-time-monitoring-of...
2•CrazyTomato•21m ago•0 comments

Anduril, General Atomics get Air Force contracts to build first drone wingmen

https://www.defenseone.com/defense-systems/2026/06/anduril-general-atomics-get-air-force-contract...
1•geox•24m ago•0 comments

Jemalloc cut our production memory by 47%

https://www.refine.ink/blog/jemalloc-fragmentation
2•pedromsantos•24m ago•0 comments

Claude Fable 5 suspension: Anthropic exec says it may return in the coming days

https://www.koreajoongangdaily.com/business/anthropic-confident-of-reenabling-mythos-fable-5-acce...
1•vfc1•25m ago•0 comments

TongFlow, a free open-source multi-modal AI workflow studio

https://github.com/user-attachments/assets/407a7e7b-2d44-4c90-8016-33d0a9f5e7d5
1•tong-io•32m ago•0 comments

Tools for checking traffic of website subpages

1•blacker145•33m ago•0 comments

Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones?

https://www.quantamagazine.org/seven-perfect-shuffles-randomize-a-deck-of-cards-but-how-many-slop...
1•layer8•34m ago•1 comments

SpaceX will officially acquire Cursor for $60B

https://fortune.com/2026/06/17/spacex-acquire-cursor-60-billion/
2•aledevv•35m ago•1 comments

Colours Can Compute – CoM Apr 2021 [video]

https://www.youtube.com/watch?v=f3dTmO1JfmY
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Aerioq Heating Cooling Portable AC

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Space Telescopes Drown in Satellite Light Pollution

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2•JeanKage•40m ago•0 comments

Show HN: open source llm fusion

https://github.com/shahar-dagan/openfusion
2•shadag•41m ago•0 comments

World leaders want American AI. They just don't want America to turn it off

https://www.techsentiments.com/article/2026/06/17/world-leaders-want-american-ai-they-just-dont-w...
1•rajsuper123•43m ago•0 comments

Matter 1.6

https://csa-iot.org/newsroom/matter-1-6-enables-more-intuitive-setup-multi-ecosystem-experiences-...
1•tosh•46m ago•0 comments

Castles in the Air

https://articles.pragdave.me/p/castles-in-the-air
1•ingve•48m ago•0 comments

Ask HN: Is anyone using the A2A protocol yet?

1•asim•49m ago•0 comments

K (1993)

https://web.archive.org/web/20160330020952/http://archive.vector.org.uk/art10010830
1•tosh•51m ago•0 comments

Integration Testing on JVM

https://kpavlov.me/blog/integration-testing-on-jvm/
1•karimtr•52m ago•0 comments

Midjourney Medical goes from AI image generation to full-body ultrasounds

https://www.theverge.com/ai-artificial-intelligence/952011/midjourney-medical-ai-ultrasound-scan
1•JeanKage•54m 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.