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Show HN: EvidSeek – Analyze online discussions with traceable evidence

https://evidseek.com/
1•oliviamy•1m ago•0 comments

How the male fruit fly's brain map is advancing neuroscience

https://blog.google/innovation-and-ai/technology/research/male-fruit-fly-brain-map/
1•xnx•1m ago•0 comments

WeatherNext 3: Our most advanced global weather AI model

https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/
1•xnx•2m ago•0 comments

'Somatics' Became the Solution to Modern Life

https://www.theatlantic.com/culture/2026/09/somatic-trend-classes/688210/
1•paulpauper•2m ago•0 comments

OpenAI Releases GPT Astra

https://developers.openai.com/api/docs/models
3•JackLau•3m ago•0 comments

What's Going on in the U.S. Treasury Bond Market?

https://stevewilliamson.substack.com/p/whats-going-on-in-the-us-treasury
2•paulpauper•3m ago•0 comments

Hugging Face acquisition price matches decimal HTML entity of emoji

https://twitter.com/calebfahlgren/status/2095516397879152851
1•tosh•3m ago•0 comments

Most laid-off SF tech workers aren't qualified for this $50 dishwasher job

https://www.sfgate.com/food/article/pho-nguyen-dishwasher-sf-22411841.php?sid=6971f3f152a4c5c4c70...
1•paulpauper•4m ago•0 comments

How to use multiple cursors in Neovim 0.13

https://blog.olimorris.com/2026/09/02/multiple-cursors-in-neovim-0.13/
1•DemiGuru•4m ago•0 comments

Best Insults in History

https://www.stephenhicks.org/2026/09/03/best-insults-in-history/
1•eustoria•4m ago•1 comments

Flock's AI Search Tool for Cops

https://www.wired.com/story/flock-ai-search-user-interface/
1•sbulaev•5m ago•0 comments

Tell HN: Reddit bots banned my accounts for no apparent reason

1•ellis0n•5m ago•0 comments

Ask HN: Why are OpenAI, Claude, and Grok simultaneously down? Coincidence?

4•halcdev•5m ago•1 comments

We Built a Different Kind of Smartphone – Minimal Phone 2 [video]

https://www.youtube.com/watch?v=HsLd7p9THL4
2•edu•5m ago•0 comments

Latency Is Now the Bottleneck

https://diverging.run/checkpoints/latency-is-the-bottleneck/
1•shay_ker•6m ago•0 comments

Major Model Providers Down

2•ijidak•6m ago•0 comments

DeltaVision: A Letter from the People Behind the Missions

https://www.deltavision.space/
1•doener•7m ago•0 comments

NBA suspends Clippers owner Steve Ballmer for 1 year in salary cap scandal

https://www.cnbc.com/2026/09/02/nba-suspends-clippers-ballmer-kawhi-leonard-salary-cap.html
1•bhouston•7m ago•1 comments

The Chinese wholesale market for Claude and ChatGPT accounts

https://vectoral.com/blog/ai-account-reseller-ecosystem
2•mlenhard•7m ago•0 comments

Haiti, Erik Prince, and the Cost of Privatized Security

https://fpif.org/haiti-erik-prince-and-the-cost-of-privatized-security/
1•robtherobber•8m ago•0 comments

Claude Is Down? Again?

1•tuleiff•8m ago•1 comments

Open AI X post on Astra

https://twitter.com/OpenAI/status/2095527557924082061
2•matthieu_bl•8m ago•0 comments

A Local Open-Weight Model Builds Its First Web App from a GitHub Issue

https://joeldare.com/a-local-open-weight-model-builds-its-first-web-app
1•codazoda•8m ago•0 comments

WebLLM Chat: AI Models Running in the Browser

https://chat.webllm.ai/
1•doener•9m ago•0 comments

Vōlt: JavaScript Package Registries for Teams

https://www.vlt.io/
1•eustoria•9m ago•0 comments

Your Queries Can Reorder the Retrieval Leaderboard

https://georgianailab.substack.com/p/your-queries-can-reorder-the-retrieval
5•ryptophan•9m ago•2 comments

Texas Republicans turn against data centers, putting big tech on notice

https://www.reuters.com/legal/government/texas-republicans-turn-against-data-centers-putting-big-...
2•tartoran•10m ago•0 comments

Top AI Agent Skills for Building Live Streaming Apps

https://www.red5.net/blog/ai-agent-skills-live-streaming-app-development/
1•mondainx•10m ago•0 comments

Grok Models Outage

https://status.x.ai/grok-com/INC25664c15
3•presbrey•10m ago•0 comments

The Joy of Working with Text Interfaces

https://theprivacydad.com/the-joy-of-working-with-text-interfaces/
1•Brajeshwar•10m 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.