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Get a Horse America's Skepticism Toward the First Automobiles (2017)

https://www.saturdayeveningpost.com/2017/01/get-horse-americas-skepticism-toward-first-automobiles/
1•downbad_•19s ago•0 comments

Pensions Buy Fewer Babies. Cutting Them Costs Votes

https://julienreszka.com/blog/pensions-buy-fewer-babies-cutting-them-costs-votes/
1•julienreszka•1m ago•0 comments

How to Be a Usually-Right Contrarian

https://www.overcomingbias.com/p/how-to-be-a-usually-right-contrarian
2•jger15•3m ago•0 comments

Show HN: Small Craft launches Seamside (Web3 P2P hosting/collab)

https://smlcrft.com/thoughts/its-open/
1•akumpf•3m ago•0 comments

First poo transplant to treat food allergy in people has results

https://www.nature.com/articles/d41586-026-02440-5#ref-CR1
1•geneticdrifts•6m ago•0 comments

Ask HN: Why mobile software infrastructure never belongs to its owner?

2•rezvovmobile•6m ago•0 comments

The State of Agentic Memory

https://twitter.com/moorcheh_ai/status/2085082985292767728
2•supportm•7m ago•0 comments

Ninth Circuit: Your AI Agent Can't Violate Hacking Law. But You Might

https://www.techdirt.com/2026/08/05/ninth-circuit-your-ai-agent-cant-violate-hacking-law-but-you-...
1•speckx•7m ago•0 comments

Website Down or Not? Check If a Site Is Down for Everyone?

https://websitedownornot.com/
1•badz•7m ago•0 comments

The Job Board Is Lying to You

https://nanomicon.com/blog/260730-the-job-board-is-lying-to-you
2•theHocineSaad•8m ago•0 comments

Unlocking the future of shared storage: Filestore on Colossus

https://cloud.google.com/blog/products/storage-data-transfer/filestore-file-service-runs-on-colossus
1•leg•10m ago•0 comments

Can you tell AI from human-authored code and should you even care?

https://codedelta.app/article-ai-vs-human.html
1•code-delta-app•11m ago•0 comments

Meta debuts first AI coding agent to take on Anthropic and OpenAI

https://www.cnbc.com/2026/08/05/meta-debuts-muse-code-to-take-on-anthropic-and-openai-.html
6•astlouis44•16m ago•0 comments

Price changes in consumer goods and services in the United States

https://ourworldindata.org/grapher/price-changes-consumer-goods-services-united-states
2•skadamat•16m ago•0 comments

Meta Muse Spark 1.2

https://developer.meta.com/ai/models/muse-spark/
6•wojciem•16m ago•2 comments

Unified Representation for Continuous-Latent Diffusion Language Modeling

https://arxiv.org/abs/2608.02602
1•E-Reverance•16m ago•1 comments

How to Survive in a Louisiana Swamp

https://unherd.com/2026/08/how-to-survive-on-a-louisiana-swamp/
1•bookofjoe•17m ago•0 comments

Ban the Throbber

https://banthethrobber.neocities.org/
8•kyledrake•18m ago•1 comments

TikTok Enters the Multichannel Fulfillment Race with FBT MCF

https://www.geekseller.com/blog/tiktok-enters-the-multichannel-fulfillment-race-with-fbt-mcf/
1•kull•19m ago•0 comments

PEP 842 – Module Exports

https://peps.python.org/pep-0842/
1•Ravencentric•20m ago•0 comments

Microsoft makes OpenAI GPT-5.6 Sol default in GitHub Copilot for staff

https://www.cnbc.com/2026/08/05/microsoft-makes-openai-gpt-5point6-sol-default-in-github-copilot-...
1•kjhughes•20m ago•0 comments

My Son's Internet

https://www.gordonmclean.co.uk/2026/08/04/my-sons-internet-2/
1•speckx•21m ago•0 comments

Tesla, Inc. vs. Angstrom Automotive Group, LLC

https://www.courtlistener.com/docket/73664213/1/tesla-inc-v-angstrom-automotive-group-llc/
2•hnburnsy•22m ago•1 comments

Microsoft's BitNet 2B on a 4 GB Raspberry Pi 5, in one 1.2 GB file

https://github.com/geisten/geistlib
1•geisten•22m ago•0 comments

SparklingTree: 30-40% faster specdec than DSpark by combining DDTree and DSpark

https://jwlabs.vercel.app/post/sparklingtree
1•shreybirmiwal•23m ago•0 comments

People prefer stories written by AI when told they're written by a human

https://techxplore.com/news/2026-08-people-stories-written-ai-told.html
1•wjSgoWPm5bWAhXB•23m ago•0 comments

Show HN: ShiftGrid – open-source transparent prompt-engine for pentests

https://github.com/BuFuuu/shiftgrid/blob/main/demo.gif
1•bufuu•24m ago•0 comments

Unpacking ChatGPT Work: The Agent for a Billion Users

https://www.latent.space/p/unpacking-chatgpt-work
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Show HN: My receipt printer prints an original artwork every morning

https://github.com/matt-w-horn/morningprint
1•spectraldrift•24m ago•0 comments

Muse Code and Muse Spark 1.2

https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2
17•paulkrush•25m ago•4 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.