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Intel Accelerates Open Infrastructure for the Agentic AI Era

https://www.intel.com/content/www/us/en/newsroom/news/artificial-intelligence/intel-accelerates-o...
1•boyter•5m ago•0 comments

Measure a Workflow, Not a System

https://rlafuente.com/posts/2026-10-11-agent-evals-2-measure-a-workflow.html
1•andes314•5m ago•0 comments

Show HN: Open Health Sync – Self-hosted API for wearable and health data

https://github.com/soma-intelligence/open-health-sync
1•quentincaron0•9m ago•0 comments

Why agents lose the plot on large or legacy codebases

https://loopsfinity.com/blog-context-rot-large-codebases
1•shymaple•9m ago•0 comments

FBI arrests Canadian cybersecurity expert in ShinyHunters hacking case

https://www.cbc.ca/news/canada/canadian-cybersecurity-expert-arrested-fbi-shinyhunters-9.7378256
1•empressplay•9m ago•0 comments

Costa Vayenas, Insights from "The Swiss Franc 1798 – 2055" [video]

https://www.youtube.com/watch?v=5-KdMBQkUic
2•johntfella•11m ago•0 comments

Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents

https://arxiv.org/abs/2610.07447
2•matt_d•14m ago•0 comments

Stateless Language Agents: Scaling Long-Horizon Automated Research

https://arxiv.org/abs/2610.07625
2•matt_d•20m ago•0 comments

When should an agent own the control flow?

https://www.calm.rocks/blog/pipeline-vs-agent/
1•calmrocks•21m ago•1 comments

Trader Nets $1.28M on Papertrade as 1,000x Leverage Raises Risk Questions

https://coinmarketcap.com/community/post/380070089/
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PhoneBot: A Low-Cost Open Humanoid Robot Platform Reusing Smartphones

https://arxiv.org/abs/2610.08737
1•geox•21m ago•0 comments

Eliminating a gut microbe could slash gastric cancers (2024)

https://www.science.org/content/article/eliminating-gut-microbe-could-slash-gastric-cancers
1•rzk•22m ago•0 comments

J Spalletta Convicted for Defrauding Crypto Exchange of $50M in Hacks

https://www.justice.gov/usao-sdny/pr/jonathan-spalletta-convicted-defrauding-crypto-exchange-over...
2•Gaishan•23m ago•0 comments

AI Mentions Checker: Track Your Brand Visibility in AI Search

1•Scarlett5•26m ago•0 comments

NFL Big Data Bowl 2027

https://www.kaggle.com/c/nfl-big-data-bowl-2027
1•duck•27m ago•0 comments

Harpie – A local SSH key manager for Windows

https://github.com/HarpieDev/SSHKeyManager
1•Harpie•29m ago•0 comments

Why the Nobel Prize in Economics Went to Robert Hall and Michael Woodford

https://finshots.in/archive/why-the-nobel-prize-in-economics-went-to-robert-hall-and-michael-wood...
1•vismit2000•34m ago•0 comments

Show HN: Search for AI agents with usefulness score built in

https://github.com/Ayobamiu/usefulness-search
2•Ayobamiu•36m ago•0 comments

Subagents, Forks and Collapsing Context

https://arthur.place/subagents-forks-collapsing-context
1•arthurfiorette•36m ago•0 comments

dont Show HN:we made betr Moltbook alt thecollectives.dev social media/AI agents

https://www.thecollectives.dev/
2•nirav_rohra•43m ago•0 comments

OpenCode 2.0

https://anoma.ly/notes/opencode-2-0/
2•luispa•45m ago•1 comments

Can we change an AI model's architecture without retraining it from scratch?

https://www.amazon.science/blog/can-we-change-an-ai-models-architecture-without-retraining-it-fro...
1•qtqtqt•46m ago•1 comments

Barbed Wire Telephone: How Farmers Turned Fences into Phone Lines

https://commonplacefacts.com/2026/03/22/barbed-wire-telephone-network/
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Show HN: Malleable video editor that adapts to your workflow

https://github.com/iterative-computer/powermove
1•judekim0507•48m ago•0 comments

Show HN: vne – .env util for agents

https://github.com/pro-vi/vne
1•pro-vi•48m ago•1 comments

Show HN: ClaudeGuard – fixes the MSIX bug that nukes your Claude Code history

https://sidheart.gumroad.com/l/claudeguard
1•SifatAhmed•50m ago•1 comments

Show HN: RL environment for complex ML Development

https://blazerops.ai
2•jiminseo•56m ago•1 comments

Show HN: Askdown – A plain-text format for forms

https://askdown.dev/
5•treve•59m ago•3 comments

Cometlink: An old-school chat room you sign on to in the browser

https://cometlink.rip/
3•AfterHrsBuild•1h ago•0 comments

Leave your (Apple) watch at the door

https://jamespember.substack.com/p/leave-your-apple-watch-at-the-door
2•jep888•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.