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Hugging Face open-sources Funes, a local-first memory layer for coding agents

https://huggingface.co/blog/funes
1•fourfire•47s ago•0 comments

After OpenAI's Bots Went Rogue, Watchdogs Were Kept on a Short Leash

https://www.nytimes.com/2026/09/03/technology/openai-hugging-face-hack.html
1•jaredwiener•2m ago•0 comments

Confronting Risks of Mirror Life

https://www.science.org/doi/10.1126/science.ads9158
1•mhb•4m ago•0 comments

Grep beats LSP? Why coding agents ignore your fancier tools

https://www.agentconnect.md/blog/grep-beat-lsp-harness/
2•kaonashi-tyc-01•5m ago•0 comments

Inside Gabe Newell’s 111m superyacht Leviathan

https://www.boatinternational.com/yachts/reports/gabe-newell-111m-superyacht-leviathan-oceanco
1•papa-whisky•5m ago•0 comments

Gemini 3.8 Flash

https://deepmind.google/models/model-cards/gemini-3-8-flash/
1•KinetiNode•6m ago•0 comments

Making LEDs from an Epiwafer

https://www.semiconductor.diy/guides/making-leds/
1•quantumwannabe•9m ago•0 comments

Show HN: JarPeek – Online JAR viewer, decompile classes locally (no upload)

https://jarpeek.com/
2•xooch_95•14m ago•0 comments

Rust 1.98.1

https://blog.rust-lang.org/2026/09/03/Rust-1.98.1/
3•theemathas•16m ago•0 comments

The 1990s Web vs. today's AI

https://arnoldkling.substack.com/p/the-1990s-web-vs-todays-ai
3•paulpauper•19m ago•0 comments

Ask HN: Why do many websites use a sign-in code instead of a password?

3•bariumbitmap•19m ago•1 comments

Is controllability becoming the real bottleneck for computer-use agents?

https://twitter.com/markchen90/status/2095597534412673109
2•oliviayii•22m ago•0 comments

Agentic Search

https://mistral.ai/news/agentic-search/
4•gmays•27m ago•0 comments

An 'Exercise Pill' Just Cleared Its First Human Test

https://gizmodo.com/an-exercise-pill-just-cleared-its-first-human-test-2000800380
2•tempestn•30m ago•1 comments

Tesla opens search for Cybercab fleet sales, but FSD owners are still left out

https://electrek.co/2026/09/03/tesla-opens-search-for-cybercab-fleet-sales-but-fsd-owners-are-sti...
3•jijojv•31m ago•0 comments

Nvidia Acquiring HuggingFace

https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face/
3•zezaggering•33m ago•0 comments

The Impact of AI-Generated Text on the Internet

https://ai-on-the-internet.github.io
5•alphabetatango•35m ago•0 comments

How Much of the Internet Is Written with AI?

https://www.pewresearch.org/data-labs/2026/08/20/how-much-of-the-internet-is-written-with-ai/
4•alphabetatango•38m ago•0 comments

Post-Training Language Models for Gold-Medal Performance in Coding Competitions

https://arxiv.org/abs/2609.02849
2•sbulaev•38m ago•0 comments

Wan 3.0 – 30-second native-audio video from text, images, docs, or web

https://wan30.io
2•yoxi1•40m ago•0 comments

DEF Con 34 – Hacking AI – Bruce Schneier [video]

https://www.youtube.com/watch?v=eEBv0STiYhI
5•jonbaer•44m ago•0 comments

Probabilistic population forecasting: Short to long-term

https://www.sciencedirect.com/science/article/pii/S0169207021001394
2•andsoitis•46m ago•0 comments

Study projects human population up to 2300

https://populationconnection.org/blog/study-projects-human-population-up-to-2300/
3•andsoitis•47m ago•0 comments

Never Forget How Eagerly Apple and Google Coddled Fascism

https://karlbode.com/never-forget-how-eagerly-apple-and-google-coddled-fascism/
39•ExMachina73•48m ago•5 comments

A Mysterious Kidney Disease Has Arrived in Texas

https://www.texasmonthly.com/news-politics/ckdu-kidney-disease-immigration/
7•johntfella•51m ago•3 comments

Why Does Rust Need Send and Sync?

https://gmcgoldr.github.io/2026/09/03/send-sync-rust.html
3•garrinm•52m ago•0 comments

WireGuard Protocol Implementation in D

https://github.com/Geod24/wireguard
3•mhh__•54m ago•0 comments

OT Isolation Plan: What You Can Disconnect When It Matters

https://www.emberot.com/resources/blog/ot-isolation-plan/
4•TheWiggles•56m ago•0 comments

How to Parallelize a Transformer for Training

https://ezyang.github.io/interactive-parallelize-transformer/
2•gmays•1h ago•0 comments

Virtual Memory from First Principles

https://blog.codingconfessions.com/p/virtual-memory
1•signa11•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.