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Tiny-Vedas: a generic accelerator interface for RISC-V, from PyTorch op to GDS

https://github.com/spzbrnmrc/Tiny-Vedas
1•marcux95•32s ago•0 comments

Adam Tooze on AI Regulation [video]

https://www.youtube.com/watch?v=EHU8vXCAsyo
1•verdverm•2m ago•0 comments

Sea lion found beheaded at San Francisco's Ocean Beach, prompting investigation

https://abc7news.com/post/sea-lion-found-beheaded-san-franciscos-ocean-beach-prompting-investigat...
3•mikhael•3m ago•0 comments

Time To Go – an alarm that shows how long your commute takes

https://apps.apple.com/us/app/time-to-go-departure-alarm/id6807446177
1•heejundid•4m ago•0 comments

Cackle Pop Roar Reptiles have a lot to say

https://knowablemagazine.org/content/article/living-world/2026/the-surprising-sounds-made-by-rept...
1•knowablemag•7m ago•0 comments

GLM-5.3-FlashX: Delivering inference speeds of 200 tokens/s

https://docs.z.ai/guides/vlm/glm-5.3-flash
3•theanonymousone•7m ago•0 comments

Reinventing issue tracking: Local-first and Git-native

https://blog.manganin.dev/blog/reinventing-issue-tracking/
1•birdculture•8m ago•0 comments

There's no point at which turning your brain off will work

https://danluu.com/brain-off/
4•robin_reala•9m ago•0 comments

Palantir, "Effective Software" and the Quest to Make Progress Programmable

https://arenamag.com/articles/forward-deployed
1•lefttailguy•9m ago•1 comments

Chinese AI Radicalizes

https://www.chinatalk.media/p/how-anthropic-became-chinas-goliath
1•speckx•9m ago•0 comments

The Download: AI's extinction risk and bioweapons threat

https://www.technologyreview.com/2026/09/18/1142577/the-download-ai-extinction-threat-bioweapons/
1•joozio•10m ago•0 comments

A Pattern for Portable Agent Configuration

https://cameronboehmer.com/p/portable-agent-configuration/
2•pkghost•11m ago•0 comments

Parents are interfering with teens' first jobs. Employers say it can backfire

https://www.cnbc.com/2026/09/18/parents-more-involved-in-kids-work-lives.html
2•mooreds•12m ago•0 comments

Tickrs: Realtime stock ticker data in your terminal

https://github.com/tarkah/tickrs
1•devrob•13m ago•0 comments

Code of Artificial Intelligence Offenses

https://syntheticjudiciary.com/
1•clipclopflop•14m ago•0 comments

Bringing Correctly Rounded Math to Production with LLVM-Libc

https://devblogs.microsoft.com/cppblog/bringing-correctly-rounded-math-to-production-with-llvm-libc/
1•kg•14m ago•0 comments

Photon-Emission-Guided Laser Fault Injection Enables RP2350 Secure Debug

https://donjon.ledger.com/blog/rp2350-secure-debug-laser-fault-injection/
6•synack•17m ago•0 comments

Show HN: A Prometheus exporter for Sagemcom F3896 cable modems

https://github.com/colinedwardwood/sagemcom-docsis-exporter
2•b1shp•17m ago•0 comments

There's a startup sunsetting startups – business is booming

https://thehustle.co/newsletters/18-09-2026
2•DamnInteresting•17m ago•1 comments

Bespoke Nimble: open data, open model, open recipe for an open Jev

https://twitter.com/madiator/status/2100990591215783946
3•madiator•20m ago•0 comments

Show HN: ThumbGlance – Browser-local YouTube thumbnail preview and resize

https://thumbglance.com/
1•Austin49•20m ago•0 comments

Share an LLM endpoint over HTTPS while TLS still terminates on your machine

https://swobu.com/blog/https-routes/
1•metrofun•23m ago•0 comments

Wikivibes – Write the truth you wished existed

https://wikivibes.org/
3•tghfshdfgh•24m ago•0 comments

Let your coding agents exchange nofollow backlinks

https://getlinkbunny.com/
2•todsacerdoti•25m ago•0 comments

Dan Alistarh's Website (IST Austria Distributed Algorithms and Systems Lab)

https://daslab.ista.ac.at/
2•peter_d_sherman•25m ago•1 comments

Urban Bird Migration Hotspots: Study Reveals Role of Cities

https://www.audubon.org/magazine/nearly-half-of-us-bird-migration-hotspots-are-cities-heres-why-m...
2•speckx•27m ago•0 comments

Show HN: Jev helps you to not run malicous code

https://github.com/luantak/is-malicious
2•lu4p•27m ago•0 comments

Anti-Clockwise

https://notoneoffbritishisms.com/2026/09/18/anti-clockwise/
3•jjgreen•28m ago•0 comments

My Thoughts on AI and LLMs

3•leonardovb•28m ago•1 comments

Why Raccoons Have Been So Successful in Taking over Toronto

https://thewalrus.ca/raccoons-toronto/
2•bookofjoe•31m 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.