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Vagrant-tart: Vagrant plugin for Tart; run macOS VMs on M-series using Vagrant

https://github.com/letiemble/vagrant-tart
1•gurjeet•1m ago•0 comments

From Quantum Relative Entropy to the Semiclassical Einstein Equations

https://journals.aps.org/prl/pdf/10.1103/lmq8-nsty
1•sonicrocketman•2m ago•0 comments

Notes and reading materials on finite topological spaces

https://math.uchicago.edu/~may/finite
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I built a single endpoint that turns anything into LLM-ready data

https://ingesti.xyz
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Boeing 737 cargo plane goes missing off Pakistan coast

https://www.theguardian.com/world/2026/jul/08/boeing-737-cargo-plane-missing-near-karachi
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Fable Advisor

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https://relis.dev
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The math that makes senior engineers look like a bad deal

https://blog.grandimam.com/posts/distorted-reality/
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Meta's Submission Re: State AGs Disgorgement Charts and Supporting Materials [pdf]

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Metis by Arm: open-source agentic security harness

https://github.com/arm/metis
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Arthur Clarke in 1940s predicted satellites and the internet of 2000s [video]

https://www.youtube.com/watch?v=D1vQ_cB0f4w
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ProductSpec: Open standard for software intent before implementation

https://github.com/gokulrajaram/ProductSpec
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Can We Understand How Large Language Models Reason?

https://cacm.acm.org/news/can-we-understand-how-large-language-models-reason/
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Show HN: FlareDB – Apache Beam native streaming database for realtime analytics

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The Atari Jaguar Runs Linux

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https://github.com/Krishnatejavepa/Shotgun
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Generative AI might end up being worthless

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3•wannabeetle•47m ago•1 comments

The Toyota Prius Is the Best Apocalypse Vehicle (2020)

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3•TMWNN•54m ago•1 comments

Oregon approves PGE's 29.7% rate hike for data centers under landmark law

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3•Exoristos•54m ago•1 comments

Researchers Reveal the Power of 'Quantum Proofs'

https://www.quantamagazine.org/researchers-reveal-the-power-of-quantum-proofs-20260706/
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Skill Retriever semantic skill discovery for AI agents via 10K-category taxonomy

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Self-Hosting My Own LLMs

https://davidbarnhart.com/llm/local-llm-setup.html
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NPM Agent Audit

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Nemotron post training prompt atlas

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1•aaronatedge•1h ago•1 comments

GitLost: We Tricked GitHub's AI Agent into Leaking Private Repos

https://noma.security/blog/gitlost-how-we-tricked-githubs-ai-agent-into-leaking-private-repos/
10•ColinEberhardt•1h ago•1 comments

Quilt: Replaces Docker and Kubernetes

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2•handfuloflight•1h 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.