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OpenAI's lead under pressure as rivals start to close the gap

https://www.ft.com/content/8881062d-ff4f-4454-8e9d-d992e8e2c4e3
1•thm•4m ago•0 comments

Qwen3-VL can scan two-hour videos and pinpoint nearly every detail

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Aurora: The Linux-based ultimate workstation

https://getaurora.dev/en
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SOLID? Nope, Just Coupling and Cohesion

https://codeopinion.com/solid-nope-just-coupling-and-cohesion/
1•thunderbong•11m ago•0 comments

How to create your own ublue-OS variant [step by step]

https://youtu.be/IxBl11Zmq5w
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Decoding the Chaos of Breakup

https://physics.aps.org/articles/v18/184
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DEP-18: A proposal for Git-based collaboration in Debian

https://optimizedbyotto.com/post/debian-collaboration-on-git/
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Homebrew on Linux

https://docs.brew.sh/Homebrew-on-Linux
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Show HN: ReadyKit – Superfast SaaS Starter with Multi-Tenant Workspaces

https://readykit.dev/
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A rebuttal to Michael Burry: Why Nvidia isn't the Cisco of the dot-com era

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Zero click interface interaction design in the age of AI

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Free Copies -Next.js: The Definitive Guide for Mastering Next.js

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Axon Mesh // the Serverless F2F/P2P Chat and Filesharing Application

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The Copenhagen Trap: How the West made passivity the only safe strategy

https://aliveness.kunnas.com/articles/copenhagen-trap
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I Designed and Printed a Custom Nose Guard to Help My Dog with DLE

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Algebraic Dynamical Systems in Machine Learning (2024)

https://link.springer.com/article/10.1007/s10485-023-09762-9
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OpenAdServer – A self-hosted ad server in Python, aiming to replace Revive"

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The Slow Grind That Sets You Free

https://medium.com/@naveensky/the-slow-grind-that-sets-you-free-97abd8b9bf2c
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What kind of grownup I want to be

https://sashachapin.substack.com/p/what-kind-of-grownup-i-want-to-be
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Rock Paper Scissors Is Not Solved, in Practice

https://inchpin.substack.com/p/rock-paper-scissors-is-not-solved
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Better GitHub Notifications Dashboard

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4•shrimalmadhur•1h ago•2 comments

Crypto hoarding company shares under pressure as risk appetite wanes

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Italy's Competition Watchdog Broadens WhatsApp AI Policy Probe

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X402 – protocol for micropayments and the rise of an agentic economy

https://oasis.net/blog/x402-https-internet-native-payments
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Show HN: Tacopy – Tail Call Optimization for Python

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CrowdStrike: Security Flaws DeepSeek-Generated Code Linked to Political Triggers

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3•fosco•1h ago•1 comments

Harvard Database Hacked in Latest Ivy League Cyberattacks

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Best Free Headshot Generator 2026: 9 AI Tools Tested and Compared

https://www.aiheadshotreviews.com/articles/best-free-headshot-generator
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Why Jailbreaking Calculators Is (Unfortunately) a Thing Now [video]

https://www.youtube.com/watch?v=3a-X6FZfl2Y
2•josephcsible•1h ago•0 comments

Discord for LLMs in a single 3.7k-line HTML file

https://modelarena.xyz
2•Estrick•1h ago•1 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•7mo 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•7mo 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•7mo 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•7mo 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.