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LoudCull – Agentless multi-cloud GPU zombie killer (Python/Terraform)

https://github.com/daretechie/CommitVigil
1•dhrey112•26s ago•1 comments

RAG Gone Wrong: The 7 Most Common Mistakes (and How to Avoid Them)

https://www.kapa.ai/blog/rag-gone-wrong-the-7-most-common-mistakes-and-how-to-avoid-them
1•taubek•40s ago•0 comments

Building Modern Databases with the FDAP Stack

https://gotopia.tech/articles/412/building-modern-databases-with-the-fdap-stack
1•mpweiher•2m ago•0 comments

Logical Intelligence (Yann LeCun linked startup, piloting an Energy Based Model)

https://logicalintelligence.com/
1•helloplanets•2m ago•0 comments

InfronAI

https://infron.ai/
1•Evan233•3m ago•0 comments

Mark Papermaster, AMD CTO / Ian Interviews #47 [video]

https://www.youtube.com/watch?v=yUBzu7oTTDo
1•mariuz•6m ago•0 comments

Scottrade – Fortune Favors the Brave

https://scottrade.net/
1•reieicucv•8m ago•0 comments

Show HN: Trending-in-Artificial-Intelligence

https://github.com/legendaryabhi/Trending-in-Artificial-Intelligence
1•abhinav77777•8m ago•0 comments

Supporting the Foundations: Announcing the 2025 Quansight OSS Fund Recipients

https://labs.quansight.org/blog/oss-fund-2025
1•lumpa•10m ago•0 comments

The Connection Machine CM-1 "Feynman" T-shirt

https://tamikothiel.com/cm/cm-tshirt.html
1•tosh•11m ago•0 comments

AI-generated news should carry 'nutrition' labels, thinktank says

https://www.theguardian.com/technology/2026/jan/30/ai-generated-news-should-carry-nutrition-label...
1•chrisjj•12m ago•0 comments

I built an MCP server to explore Epstein's emails. Here's what I learned

https://github.com/Gioppix/epstein-email-explorer-mcp/blob/main/REVIEW.md
1•Gioppix•16m ago•0 comments

Show HN: Django-Xbench – See DB vs. App Time in Django via Server-Timing Headers

https://github.com/yeongbin05/django-xbench
1•yeongbin05•18m ago•1 comments

$1B Binance SAFU fund: If stablecoins mean safety, why do Bitcoin returns?

https://altcoindesk.com/perspectives/1b-binance-safu-fund-if-stablecoins-mean-safety-why-do-bitco...
1•CryptoBabe•18m ago•0 comments

Building a Search Engine for the ASX

https://damonphilipross.github.io/2026/01/28/building-a-search-engine-for-the-asx/
1•damindestress•20m ago•0 comments

Show HN: Golden Ratio Face Analysis

https://attractivenesstest.com/golden-ratio-test
2•beast200•20m ago•0 comments

Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction

https://arxiv.org/abs/2601.21920
1•50kIters•21m ago•0 comments

Making Flix Compiler Errors Helpful and Delightful

https://blog.flix.dev/blog/making-flix-compiler-errors-helpful-and-delightful/
2•jorkadeen•23m ago•0 comments

Bootstrap Chain for NixOS: Building the System from a Hand-Auditable Binary Seed

https://chaos.social/@nzbr/115973847897716839
1•birdculture•25m ago•0 comments

Show HN: jceb/jiejie.nvim: Neovim front end for Jujutsu in the style of fugitive

https://github.com/jceb/jiejie.nvim
1•jceb81•25m ago•0 comments

New OpenAI tool renews fears that "AI slop" will overwhelm scientific research

https://arstechnica.com/ai/2026/01/new-openai-tool-renews-fears-that-ai-slop-will-overwhelm-scien...
1•latexr•26m ago•0 comments

Microsoft explores bringing top menu bar to Win 11 with new PowerToys feature

https://www.windowscentral.com/microsoft/windows-11/microsoft-explores-bringing-linux-like-top-me...
2•Tomte•35m ago•2 comments

ProToken: Token-Level Attribution for Federated Large Language Models

https://arxiv.org/abs/2601.19672
1•onurkanbkrc•35m ago•0 comments

Apache Kafka without the hassle, K8s native, Iceberg and SQL

https://github.com/KafScale/platform
1•2pk03•40m ago•0 comments

Amazon Found 'High Volume' of Child Sex Abuse Material in AI Training Data

https://www.bloomberg.com/news/features/2026-01-29/amazon-found-child-sex-abuse-in-ai-training-data
1•nonfamous•44m ago•0 comments

Apple acquires Israeli audio AI startup Q.ai

https://www.reuters.com/business/apple-acquires-audio-ai-startup-qai-2026-01-29/
1•porridgeraisin•47m ago•0 comments

Trump sues IRS and US treasury for $10B over leak of tax returns

https://www.theguardian.com/us-news/2026/jan/29/trump-sues-tax-return-leak
3•mellisacodes•47m ago•0 comments

Show HN: We analyzed AI tool launches – here's why GTM breaks

1•yasu_c•48m ago•0 comments

Taiwan's GDP in 2025 Grew at Fastest Pace Since 2010 (+8.63%)

https://www.wsj.com/economy/taiwans-economy-grew-at-fastest-pace-in-15-years-fcf4f0d2
1•giuliomagnifico•48m ago•0 comments

Show HN: TagCompanion – Point-and-Click Google Tag Manager Implementation

https://www.tagcompanion.com/
1•ybor•51m ago•1 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.