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Lessons learned when hiring engineers in the age of AI

https://earthly.dev/blog/lessons-learned-hiring-engineers-in-the-age-of-ai/
1•vladaionescu•1m ago•0 comments

E-means: 10x faster k-means at equal loss

https://e-means.github.io/
2•porridgeraisin•2m ago•0 comments

Hackers exploit SSHole OpenSSH flaw to breach Linux systems

https://www.bleepingcomputer.com/news/security/hackers-exploit-sshole-openssh-flaw-to-breach-linu...
1•gnabgib•3m ago•0 comments

Upside-Down-Ternet (2006)

https://pete.ex-parrot.com/upside-down-ternet.html
1•arraypad•4m ago•1 comments

Security Vocabulary for Maintainers

https://marcelotryle.com/blog/security-vocabulary/
1•qianli_cs•5m ago•0 comments

Encyclopedia of Triangle Centers

https://faculty.evansville.edu/ck6/encyclopedia/etc.html
1•fanf2•6m ago•0 comments

PolinRider: North Korea-linked worm forges developers' commits in 7,609 repos

https://apiiro.com/blog/polinrider-north-korea-worm-forged-github-commits
1•shmulc•6m ago•0 comments

The ENIAC in Context: 80 Years of Computing History [video]

https://www.youtube.com/watch?v=4wm780EI6f4
2•matt_d•7m ago•0 comments

I Am Done Using Your UI

https://killianc.com/i-am-done-using-your-ui/
2•killiancarroll•8m ago•0 comments

Trump administration's embrace of "perp" futures sets off risk alarms

https://www.reuters.com/legal/government/trump-administrations-embrace-perp-futures-sets-off-risk...
2•tartoran•8m ago•0 comments

ChaCha AVX-512 Optimization for Linux 7.5 Yields Up to 99% Improvement AMD Zen5

https://www.phoronix.com/news/ChaCha-AVX-512-Linux-7.5
4•Bender•8m ago•0 comments

Tide, an iPhone IDE That Runs Node, Python, Ruby and PHP Offline

https://apps.apple.com/in/app/tide-code-editor/id6828353185
2•thisiskurubaran•8m ago•0 comments

Show HN: MeowDisplay Is iPhone Mirroring, but in Reverse

https://meowdisplay.app/
4•raiseCatError•8m ago•0 comments

Claude's Wager: Why you don't have to believe in AI to bet on it

https://wsvincent.com/claudes-wager/
2•lumpa•8m ago•0 comments

Show HN: A free replacement for House Stock Watcher, since 2015

https://optimistfi.com/congress
1•saidileepkumar•10m ago•0 comments

The AI bubble can wait, but your exit plan can't

https://www.theregister.com/ai-and-ml/2026/11/09/the-ai-bubble-can-wait-but-your-exit-plan-cant/5...
3•Bender•11m ago•0 comments

New Democratic Congress will likely strip the gilding from Trump's Golden Dome

https://arstechnica.com/space/2026/11/new-democratic-congress-will-likely-strip-the-gilding-from-...
4•Bender•11m ago•0 comments

Ask HN: Share your best blog/videos on learning about LLMs in depth

2•mrburton•12m ago•0 comments

Show HN: Juggling multiple inboxes for customer support is a PITA

https://tryinboxnest.com
2•beechwood•13m ago•0 comments

Tell HN: Another GitHub Major Outage

4•sergiotapia•13m ago•3 comments

DeepX claims inference up to 100B parameters at less than 5 W

https://www.eetimes.com/deepx-tapes-out-second-gen-chip-projects-6-7x-performance-gain-with-lpddr...
2•giuliomagnifico•14m ago•1 comments

Turbopuffer: The Sane Asylum

https://colossus.com/article/sane-asylum-turbopuffer/
2•skadamat•15m ago•0 comments

Show HN: WebGL2 GPU Liquidity Heatmap for Hyperliquid L2 Orderbooks

https://velqiris-acquisition.netlify.app/heatmap.html
2•velqiris•15m ago•0 comments

AI agents use simulation to solve tough robotics problems with code, not data

https://spectrum.ieee.org/agentic-robotics
2•oldnetguy•16m ago•0 comments

The Used-Battery Gold Rush Is Coming

https://www.theatlantic.com/science/2026/11/electric-vehicle-battery-reuse/689326/
4•blondie9x•17m ago•0 comments

Your next customer could be an AI: Why digital identity is heading for a reset

https://www.digitaljournal.com/article/your-next-customer-could-be-an-ai-why-digital-identity-is-...
2•mooreds•17m ago•0 comments

Sleep wearables are training AI on your brainwaves without explicit consent

https://www.tomshardware.com/peripherals/wearable-tech/wearable-sleep-trackers-are-using-your-bra...
3•rndsignals•18m ago•0 comments

Ask HN: Do you have daily voice conversations with AI?

2•rtp4me•18m ago•1 comments

Nuance Labs

https://app.nuancelabs.ai/try
2•charlieirish•20m ago•0 comments

Too many men suffering in silence, national health report finds (Canada)

https://www.westcentralonline.com/articles/too-many-men-suffering-in-silence-national-health-repo...
14•nosecreek•20m ago•8 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.