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Nvidia in Talks with OpenAI to Guarantee $250B Financing for Data Center

https://www.wsj.com/tech/ai/nvidia-in-talks-with-openai-to-guarantee-250-billion-financing-for-da...
1•johnbarron•1m ago•1 comments

Atomic Clocks

https://www.nist.gov/atomic-clocks/how-do-atomic-clocks-work
2•teleforce•2m ago•0 comments

Unearthing my 1996 windowed OS in machine code for Am29000 homebrew computer

https://nanochess.org/the_am29000_computer.html
1•nanochess•3m ago•0 comments

VC-backed startups commit more fraud, and researchers think they know why

https://techcrunch.com/2026/07/31/vc-backed-startups-commit-more-fraud-and-researchers-think-they...
2•rndsignals•3m ago•0 comments

MSI Pro B850-P WiFi Dasharo v0.9.0 Released

https://blog.3mdeb.com/2026/2026-07-30-msi-pro-b850p-v090-release/
1•Jhsto•3m ago•0 comments

Show HN: Resume Tailor – Optimise Resume, Land More Offers

https://tailor.resume.academy
1•vednig•4m ago•0 comments

Did 75,000 Students Cheat on a College-Entrance Exam in Mexico?

https://www.nytimes.com/2026/07/31/world/americas/unam-college-entrance-exam-mexico.html
1•timetraveller26•4m ago•0 comments

Extensive Collection of Prototypes, Publications, Schematics Donated to Archives

https://moogfoundation.org/extraordinary-collection-of-prototypes-publications-schematic-and-more...
1•glitcher•4m ago•0 comments

The Obligatory AI Post

https://lapcatsoftware.com/articles/2026/7/15.html
1•frizlab•6m ago•0 comments

IndieMath – Crowdfunded automated proving for open CS/math problems

https://indiemath.ai/
1•nsomani•6m ago•0 comments

AI in the Classroom, Part 3: Where It Earns Its Place

https://forta.com/blog/ai-in-the-classroom-part-3-where-it-actually-earns-its-place
2•rmason•11m ago•0 comments

Mixxx – Free and open source DJ software

https://mixxx.org/
2•atoav•11m ago•0 comments

Dead Software Walking: The ongoing evolution of relayd(8) and httpd(8)

https://rsadowski.de/posts/2026/dead-software-walking-relayd-and-httpd/
1•snorbleck•12m ago•0 comments

The Nix sandbox is a hidden input

https://fzakaria.com/2026/07/30/the-nix-sandbox-is-a-hidden-input
2•ingve•13m ago•0 comments

Talent Hoarding in Organizations

https://www.aeaweb.org/articles?id=10.1257/aer.20220264
2•baxtr•14m ago•0 comments

Anatomy of a frontier-lab agent intrusion

https://huggingface-anatomy-of-frontier-lab-model-intrusion.static.hf.space/index.html
1•gone35•15m ago•0 comments

The International Lunar Reference System

https://arxiv.org/abs/2607.27762
1•StatsAreFun•17m ago•0 comments

Start at the end: learning full stack development with AI

https://geosona.com/software/2026/07/31/start-at-the-end/
1•gste•17m ago•0 comments

Nontransitive Dice (2020)

https://schlaff.com/wp/nontransitive-dice/
3•gone35•20m ago•0 comments

The Go compiler is now a semantic code reviewer (and it's better than you)

https://blog.devgenius.io/the-go-compiler-just-code-reviewed-me-and-it-was-right-c19d0d183158?sk=...
3•cheikhdev•20m ago•0 comments

Show HN: I worked on a new browser for 2 years, today it passed Acid 3

https://code.intellios.ai/cwbrowser/
1•coolwulf•20m ago•0 comments

Boorch – Beautiful TUI Instruments

https://boorch.itch.io/
1•tomduncalf•20m ago•0 comments

The Unimagined Good

https://michaelnielsenupdates.substack.com/p/the-unimagined-good
1•exolymph•20m ago•0 comments

Tool that help ecommerce stores generate images faster easier

1•Omoll•20m ago•0 comments

Can AMD Break the CUDA Moat? AMD Advancing AI 2026

https://newsletter.semianalysis.com/p/can-amd-break-the-cuda-moat-amd-advancing
2•rbanffy•21m ago•0 comments

Umyazu

https://aworkinglibrary.com/writing/umyazu
1•herbertl•24m ago•0 comments

Show HN: Agents that learn and remember. On your machine, under your control

https://github.com/EXXETA/exxperts
1•alindnbrg•27m ago•0 comments

Thomson Reuters built its own AI model that now ranks among the best

https://www.thomsonreuters.com/en-us/posts/innovation/thomson-reuters-built-its-own-ai-model-that...
2•Cynddl•27m ago•0 comments

Show HN: An LSP for agent skills–rename, references, completion, and diagnostics

https://github.com/CyrusNuevoDia/skill-language-server
1•knrz•27m ago•0 comments

DCSystems: Independent tech talk series in the DMV area

https://dcsystems.xyz/
1•nateb2022•28m 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.