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Recursive Knowledge Synthesis for Multi-LLM Systems

https://arxiv.org/abs/2601.08839
1•bob1029•2m ago•0 comments

Microsoft's Pivotal AI Product Is Running into Big Problems

https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28
1•fortran77•3m ago•1 comments

Even after cutting EV incentives, Norway only sold 98 diesel cars in January

https://electrek.co/2026/02/03/even-after-cutting-ev-incentives-norway-only-sold-98-diesel-cars-i...
1•ceejayoz•4m ago•0 comments

Show HN: CuaBot – Co-op computer-use for any coding agent

https://github.com/trycua/cua
1•frabonacci•6m ago•0 comments

Forensic Photonics verifies digital evidence with Content Credentials

https://contentauthenticity.org/blog/how-forensic-photonics-verifies-digital-evidence-with-conten...
1•hasheddan•6m ago•0 comments

DuoBolt – a review-first duplicate file finder powered by BLAKE3

https://duobolt.app/
1•r9ne•7m ago•1 comments

LibreQoS: Online Bufferbloat Test

https://bufferbloat.libreqos.com/
1•goodburb•8m ago•0 comments

Why the Future of Movies Lives on Letterboxd

https://www.nytimes.com/interactive/2026/02/03/magazine/letterboxd-film-discussion-site-streaming...
1•mitchbob•8m ago•1 comments

How do you validate AI-generated data transformations before prod?

https://www.yorph.ai
1•areddyfd•8m ago•1 comments

If AI Writes the Code, What Should Engineers Learn?

https://the-learning-agency.com/the-cutting-ed/article/if-ai-writes-the-code-what-should-engineer...
1•selvaprakash•8m ago•0 comments

A programmable, Lego-like material for robots emulates life's flexibility

https://techxplore.com/news/2026-02-programmable-lego-material-robots-emulates.html
1•Brajeshwar•9m ago•0 comments

Anthropic Super Bowl Spot Skewers ChatGPT Ads

https://www.businessinsider.com/anthropic-super-bowl-openai-chatgpt-ads-claude-2026-2
2•tortilla•9m ago•0 comments

Physicists achieve near-zero friction on macroscopic scales

https://phys.org/news/2026-02-physicists-friction-macroscopic-scales.html
1•Brajeshwar•9m ago•0 comments

Pipe organ playing a single, nonstop song until 2640

https://www.popsci.com/technology/pipe-organ-one-song-2640/
1•Brajeshwar•9m ago•0 comments

SpaceX grounds Falcon 9 missions, could impact ISS launch

https://phys.org/news/2026-02-spacex-grounds-falcon-missions-impact.html
2•bookmtn•10m ago•0 comments

Show HN: Distr 2.0 – A year of learning how to ship to customer environments

https://github.com/distr-sh/distr
1•louis_w_gk•10m ago•0 comments

Show HN: Orpheus, An Agent runtime that scales on queue depth and not CPU

https://github.com/arpitnath/orpheus
3•arpitnath42•12m ago•0 comments

Anthropic Performance Team Take-Home for Dummies

https://www.ikot.blog/anthropic-take-home-for-dummies
2•vinhnx•13m ago•0 comments

A field guide to sandboxes for AI

https://www.luiscardoso.dev/blog/sandboxes-for-ai
1•Dangeranger•13m ago•0 comments

Show HN: Finding similarities in magazine covers (updated)

https://shoplurker.com/labs/img-compare/
1•tkp-415•14m ago•0 comments

We read the JSON Schema spec so you don't have to

https://blog.dottxt.ai/dotjson-has-good-schema-support.html
1•PaulHoule•15m ago•0 comments

Show HN: I built Clash to avoid conflicts when running AI agents in parallel

https://github.com/clash-sh/clash
1•matk9•17m ago•0 comments

Show HN: Non-Linear LLM Chats

https://www.mindbloom.so/
1•greenfieldday•17m ago•0 comments

The First Café for AI Dates

https://lp1.evaapp.ai/cafe-eva
2•geox•17m ago•0 comments

Male students show more tolerance for political enemies than females for allies

https://expression.fire.org/p/male-students-show-more-tolerance
3•mpweiher•18m ago•0 comments

Show HN: LLM Skirmish, an RTS game you play with LLMs

https://llmskirmish.com/ladder
1•__cayenne__•19m ago•0 comments

Show HN: ADHD Focus Mate – AI mate to help me stop doomscrolling while coding

https://github.com/skainguyen1412/adhd-focus-mate
2•skainguyen1412•21m ago•0 comments

Kling 3.0 and 3.0 Omni - Everyone a Director. It’s Time. (?)

https://twitter.com/Kling_ai/status/2019064918960668819
1•iamA_Austin•21m ago•0 comments

Arcan-A12: Weaving a Different Web

http://www.divergent-desktop.org
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Show HN: Humetrical – An Improvement on Team Wellness

https://humetrical.com
2•bojo•22m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.