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AWS Security Agent on-demand penetration testing is now generally available

https://aws.amazon.com/about-aws/whats-new/2026/03/aws-security-agent-ondemand-penetration/
1•computersuck•3m ago•0 comments

RV32I Reference [pdf]

https://hoult.org/rv32i.pdf
1•brucehoult•4m ago•1 comments

I built 7 AI agents that attack the same task in parallel – armyai.app

https://armyai.app
1•Tilica•8m ago•0 comments

A few tips to get more out of Opus 4.7

https://twitter.com/bcherny/status/2044847848035156457
2•tzury•12m ago•0 comments

Show HN: The Onion Shell

https://the.onionshell.ch
1•ewindisch•13m ago•1 comments

I built an AI that analyzes rental leases before you sign

https://goleazly.com/
3•octadevcba•20m ago•0 comments

Autoresearch on Steroids with Sandboxes

https://www.tensorlake.ai/blog/autoresearch-on-steroids-with-sandboxes
1•cooleel•24m ago•0 comments

Global warming is making the strongest hurricanes stronger

https://yaleclimateconnections.org/2026/04/global-warming-is-making-the-strongest-hurricanes-stro...
3•pier25•27m ago•0 comments

Claude Monitor Track token usage, costs, and tool calls for Claude Code sessions

https://github.com/szaher/claude-monitor
1•szaher•28m ago•0 comments

Suspend vs. Snapshot: Pause a Sandbox or Save It for Reuse?

https://www.tensorlake.ai/blog/suspend-vs-snapshot-pause-a-sandbox-or-save-it-for-reuse
1•cooleel•28m ago•0 comments

A content-aware loudness processor with emergent non-linear behavior

https://github.com/aston89/CALP-Content-Aware-Loudness-Processor
2•Aston89•29m ago•0 comments

Vakra: Reasoning, Tool Use, and Failure Modes of Agents

https://huggingface.co/blog/ibm-research/vakra-benchmark-analysis
2•gmays•32m ago•0 comments

Kitum Cave: A Natural Wonder Hosting a Deadly Disease

https://explorersweb.com/kitum-cave-deadly-disease/
3•thunderbong•33m ago•0 comments

Mammals cannot be cloned infinitely, Japanese mouse study shows

https://www.japantimes.co.jp/news/2026/04/15/japan/science-health/mammals-cannot-be-cloned-infini...
3•libpcap•37m ago•0 comments

Solitaire simulator for finding the best strategy: Current record is 8.590%

https://github.com/dacracot/Klondike3-Simulator
1•PaulHoule•39m ago•0 comments

Google Opens Personal Intelligence AI to All US Users

https://www.heygotrade.com/en/news/google-ai-expansion-challenges-microsoft-apple/
1•demiurges•41m ago•0 comments

Robots walked outdoors at a public-road event in Akihabara, Tokyo

https://www.youtube.com/watch?v=142d-OF7GeA
1•meganetaaan•48m ago•0 comments

Inventor of Heelys Dies at 71

https://www.nytimes.com/2026/04/16/business/roger-adams-dead.html
2•nxobject•52m ago•0 comments

I Built My Dream Bug Tracking Software in a Week

https://markjardine.com/blog/i-built-my-dream-bug-tracking-software-in-a-week
2•sashk•1h ago•0 comments

AI companies are buying the Slack data of failed startups

https://twitter.com/_iainmartin/status/2044758204773486925
7•harambae•1h ago•2 comments

DARPA builds AI to investigate China's claim it can break military encryption

https://www.scientificamerican.com/article/darpa-built-an-ai-to-fact-check-enemy-weapons-claims/
2•Jimmc414•1h ago•0 comments

New NTFS File-System Driver Submitted for Linux 7.1

https://www.phoronix.com/news/New-NTFS-Driver-Submitted-Linux
5•Bender•1h ago•0 comments

Much Ado about Protein

https://www.theverge.com/column/897715/optimizer-protein-proteinmaxxing-proteinwashing-wellness
1•paulpauper•1h ago•0 comments

EP 172: SuperBox

https://darknetdiaries.com/episode/172/
2•paulpauper•1h ago•0 comments

The Patchwright – AI Assisted Short Film

https://www.youtube.com/watch?v=-Rzl7nUdEs4
1•gradus_ad•1h ago•0 comments

The scientific case for being nice to your chatbot

https://www.platformer.news/chatbot-emotion-research-anthropic-alignment-interpretability/
1•herbertl•1h ago•0 comments

The most dangerous student on campus

https://hollisrobbinsanecdotal.substack.com/p/the-most-dangerous-student-on-campus
1•HR01•1h ago•0 comments

Rust 1.95 Released with Several Improvements

https://www.phoronix.com/news/Rust-1.95-Released
2•Bender•1h ago•0 comments

The tech jobs bust is real. Don't blame AI (yet)

https://www.economist.com/finance-and-economics/2026/04/13/the-tech-jobs-bust-is-real-dont-blame-...
1•pseudolus•1h ago•1 comments

MAGA Indians Went All in on Trump. Many Right-Wingers Can't Stand Them

https://www.wired.com/story/maga-indians-went-all-in-on-trump/
8•aanet•1h ago•2 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•11mo 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•11mo 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•11mo 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•11mo 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.