frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Mercedes-Benz gets first dibs on ProLogium's Gen4 solid-state EV battery cells

https://electrek.co/2026/09/24/mercedes-priority-prologiums-gen4-solid-state-ev-battery/
1•cisc•1m ago•0 comments

Valen: A multimodal decision model inspired by Jev

https://github.com/Liuziyu77/Valen
1•taylorfinley•4m ago•0 comments

The Murky History of Soviet-Born Tetris

https://thereader.mitpress.mit.edu/the-bizarre-murky-history-of-soviet-born-tetris/
1•EA-3167•8m ago•0 comments

GitLab Outage

https://status.gitlab.com/
9•kunley•9m ago•4 comments

Show HN: Jev-browse – browser sub-tasks for coding agents at ~1/3 the cost

https://github.com/danielnc/jev-browse
1•danielnc•12m ago•0 comments

It's sinister that Meta's Muse AI mascot is so cute

https://www.theverge.com/column/999999/optimizer-meta-muse-ai-cute
2•colinprince•12m ago•0 comments

MentalHealthBench

https://openai.com/index/introducing-mentalhealthbench/
2•gmays•14m ago•0 comments

CTNicholas Multiplayer-Coding-Agents

https://github.com/CTNicholas/multiplayer-coding-agents
1•handfuloflight•14m ago•0 comments

Special police to investigate threats to democracy, Swedish election fraud

https://kvartal.se/jesperandersson/artiklar/misstankt-valbrott-i-malmo-flyttar-till-specialenhet/...
1•try-working•16m ago•1 comments

Launching FreeBSD/EC2 Desktop AMIs

https://www.daemonology.net/blog/2026-09-24-Launching-FreeBSD-EC2-desktop-AMIs.html
1•cperciva•16m ago•0 comments

Turbocharging Your Python Workflow

https://medium.com/@therealcomtom/turbocharging-your-python-workflow-315dd52e14fe
1•comtom•17m ago•0 comments

Award-Winning French Author Accused of Using AI to Write Debut Novel

https://www.cbc.ca/news/canada/montreal/thelyson-orelien-ai-scandal-9.7355167
1•BiraIgnacio•17m ago•0 comments

Zuse: Open-Source Cloud Agents

https://github.com/swarajbachu/zuse
1•handfuloflight•18m ago•0 comments

Cal Newport: Here's What to Ask A.I. Leaders

https://www.nytimes.com/2026/09/24/opinion/congress-ai-sam-altman.html
1•johnny313•19m ago•0 comments

One API for Frontier Media Models

https://blog.comfy.org/p/introducing-comfy-router-one-api
1•gmays•22m ago•0 comments

Welcome to the Age of Listening Devices

https://finance.yahoo.com/technology/article/welcome-to-the-age-of-listening-devices-144845987.html
2•hn_acker•22m ago•1 comments

Interesting QA Career building book with interview tips

https://link.springer.com/book/10.1007/979-8-8688-2166-0
1•qaprof•23m ago•0 comments

Building an Ultra-High Throughput AI-SQL Engine

https://fsdatalab.github.io/blog/introducing-quail/
1•matt_d•23m ago•0 comments

Goldman reaped more than $200M in fees from hedge fund Situational Awareness

https://www.ft.com/content/bdec4129-ccac-4149-aa53-90ddd50cb925
1•JumpCrisscross•24m ago•0 comments

Bushmen

https://mapwriting.substack.com/p/why-i-cant-stop-thinking-about-the
2•chandlerh•24m ago•0 comments

Mini Test Planning: How to add rigor without slowing down QA

https://www.qawithahmed.com/mini-test-planning-how-to-add-rigor-without-slowing-down-qa-2/
1•qaprof•25m ago•0 comments

Internet domain subprocess.run redirects to the Python docs for subprocess.run()

1•theanonymousone•26m ago•0 comments

Show HN: Sprocket – A bioinformatics workflow engine in Rust, from St. Jude

https://sprocket.bio/
1•clmcleod•27m ago•0 comments

DraftKings Is Using AI to Supercharge the Harms of Online Behavioral Advertising

https://www.eff.org/deeplinks/2026/09/draftkings-using-ai-supercharge-harms-online-behavioral-adv...
3•hn_acker•28m ago•0 comments

A24, Sony, or the New York Times May Soon Swallow Letterboxd

https://gizmodo.com/a24-sony-or-the-new-york-times-may-soon-swallow-letterboxd-2000817016
1•rdmuser•28m ago•0 comments

Lessons for Software Developers from Heinlein (2009)

https://www.computerworld.com/article/1449456/7-lessons-for-software-developers-from-heinlein.html
1•mooreds•29m ago•0 comments

How to Own a 3-Year Technical Roadmap (and Get the Time to Execute It)

https://vikmodi.medium.com/how-to-own-a-3-year-technical-roadmap-and-get-the-time-to-execute-it-9...
1•mooreds•29m ago•0 comments

Blondin's Assignment America (1997)

https://www.blondins.com/
1•mooreds•30m ago•0 comments

The Antitrust Problem with Meta's Settlement with the States

https://www.techdirt.com/2026/09/24/the-antitrust-problem-with-metas-settlement-with-the-states/
3•hn_acker•31m ago•0 comments

The model observes, a table decides: keeping an LLM out of pet triage

https://tailstory-app.com/en/blog/model-observes-table-decides
1•Mohsentr•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.