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Open Source @Github

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AI could be good for open source

https://nabraj.com/blog/ai-good-for-opensource
1•coffeecoders•25s ago•0 comments

The EU's High Tech E-Waste Recovery Push

https://spectrum.ieee.org/e-waste-european-union-circuit4eu
1•rbanffy•43s ago•0 comments

AI and the Speed of Idea Execution

https://norsewanderer.com/
1•mheilemann•1m ago•1 comments

The Oracle AI Data Center Train Wreck

https://subseacables.blogspot.com/2026/10/the-oracle-ai-data-center-train-wreck.html
1•speckx•1m ago•0 comments

CSSV – Comma-Separated Styled Values

https://cssv.dev/
1•eustoria•1m ago•0 comments

Reducing GitHub reliability risk for tool installs

https://bitrise.io/blog/post/reducing-github-reliability-risk-for-tool-installs
1•rmadriz•2m ago•0 comments

Tiny Neo Asteroid 2026TU3 Is Valuable Study Opportunity

https://www.astrophyzix.com/2026/10/asteroid-2026TU3.html
1•SpaceNewsNow•2m ago•0 comments

Missing Policy Routing Rules on Linux

https://www.procustodibus.com/blog/2026/06/disappearing-policy-routing-rules/
1•eustoria•3m ago•0 comments

CIDs: What You Need to Know and Why

https://ngerakines.leaflet.pub/3mfceipobzk2u
1•ankitg12•3m ago•0 comments

As AI Closed in on 'Unique Games' Proof, Researchers Raced to Beat the Machines

https://www.quantamagazine.org/as-ai-closed-in-on-unique-games-proof-researchers-raced-to-beat-th...
1•digital55•3m ago•0 comments

Navier–Stokes Lost in Translation

https://arxiv.org/abs/2610.08144
1•nill0•3m ago•0 comments

AI Measurement Science

https://aimslab.stanford.edu/textbook/
1•sonabinu•3m ago•0 comments

Across the Globe, People Increasingly Say Social Media Is Harming Democracy

https://www.pewresearch.org/global/2026/10/01/across-the-globe-people-increasingly-say-social-med...
2•karakoram•4m ago•0 comments

Normal Tools – Useful online tools, no nonsense

https://www.normaltools.com/
2•eustoria•5m ago•0 comments

Show HN: One – Post-labor biophysical resource coordination

https://github.com/kyberlex/ONE
1•kyberlex•6m ago•0 comments

Nobel Prize in Chemistry 2026

https://www.nobelprize.org/prizes/chemistry/2026/summary/
1•divbzero•7m ago•0 comments

Reverse Engineering of the M-VAVE FM-1 Pocket Synthesizer Firmware

https://github.com/AL-255/FM-1-RE
1•0bytes•8m ago•0 comments

Why Texas Is Making Data Centers Wait

https://www.a16z.news/p/why-texas-is-making-data-centers
1•crescit_eundo•9m ago•0 comments

GitHub Incident with Git Operations, Pull Requests and Actions

https://www.githubstatus.com/incidents/djlmxz2zd0j7
32•gagan2020•10m ago•14 comments

A new AI assistant called Tab has launched; it competes with Meta's Muse

https://techcrunch.com/2026/10/07/another-personal-ai-assistant-has-launched-meet-tab-which-emerg...
1•mikelgan•11m ago•0 comments

GitHub Is Down (Again)

5•Andugal•11m ago•0 comments

Stop asking AI what you should build

https://leoanthias.com/stop-asking-ai/
1•pea•11m ago•0 comments

GitHub Outage: Incident with Git Operations, Pull Requests and Actions

https://www.githubstatus.com/incidents/djlmxz2zd0j7
7•wbnns•12m ago•2 comments

ShinyHunters Extorted Boeing Spin-Off Prior to Arrests

https://krebsonsecurity.com/2026/10/shinyhunters-extorted-boeing-spin-off-prior-to-arrests/
2•speckx•12m ago•0 comments

Show HN: Collision avoidance in industrial robotics using robotsimulator.ai

https://www.babacad.com/robotics/web/
1•comirza•13m ago•0 comments

Show HN: Checkout this open-source, local-first bioinformatics/AI desktop app

https://github.com/Liatir/liatir-app
1•Suffro•13m ago•0 comments

Show HN: Zetteldesk – An MCP server that prints and mails letters

https://zetteldesk.com/en
1•akrost•15m ago•0 comments

Codex Cloud shipped with Tailscale support. Nobody told us

https://tailscale.com/blog/codex-cloud-tailscale
1•mfiguiere•15m ago•0 comments

Zephon: Fast, Flexible, Elastically Deterministic Data Loading

https://www.datologyai.com/blog/zephon
1•mboether•17m ago•0 comments

Visa, Mastercard, Major Banks Facing New Litigation over 'Anticompetitive' Fees

https://www.classaction.org/news/visa-mastercard-major-banks-facing-new-litigation-over-anticompe...
2•DeepLogin•18m 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.