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Metalenz Has Figured Out a Way to Make Face ID Invisible

https://www.wired.com/story/metalenz-has-figured-out-a-way-to-make-face-id-invisible/
1•0in•46s ago•0 comments

An unbiased benchmark for how well agents can read your docs

https://docsalot.dev/benchmarks/docs
1•fazkan•2m ago•0 comments

America's retail army came to rule the stock market

https://www.ft.com/content/ee8a0604-84cb-44da-bb33-f36818944581
1•petethomas•4m ago•0 comments

Started Exploring Payment Infrastructure for Online Businesses (Stripe, API)

https://chain2pay.cloud
1•fintraxx•5m ago•0 comments

The Open Social Web Needs Section 230 to Survive

https://www.techdirt.com/2026/05/04/the-open-social-web-needs-section-230-to-survive/
2•HotGarbage•11m ago•0 comments

When Decoded Isn't Verified: Closing a Trust-Boundary Gap in Envoy's JWT Filter

https://netguard24-7.com/blog/envoy-jwt-authn-confused-deputy-pr-43630
1•cybrdude•14m ago•0 comments

The Roomba Guy's Second Act: A Robot You'll Want to Snuggle

https://www.wsj.com/tech/ai/familiar-machines-and-magic-robot-c8711e45
1•aanet•14m ago•1 comments

April 2026 Links

https://nomagicpill.substack.com/p/april-2026-links
1•nomagicpill•16m ago•0 comments

Cerebras Leads Crop of IPOs Rushing to Tap Market Before SpaceX

https://techcrunch.com/2026/05/04/openais-cozy-partner-cerebras-is-on-track-for-a-blockbuster-ipo/
2•giwook•18m ago•0 comments

ARPA-H allocates $35M to osteoarthritis reversal therapy

https://www.colorado.edu/today/2026/04/06/simple-shot-shows-promise-reverse-osteoarthritis-within...
1•warbaker•19m ago•0 comments

Hantavirus crops up on a cruise ship – what scientists are watching

https://www.nature.com/articles/d41586-026-01450-7
1•warbaker•26m ago•0 comments

The Grand Theory of Everything (2007)

https://dl.acm.org/doi/pdf/10.1145/1281421.1281430
2•jruohonen•27m ago•0 comments

Ask HN: Cryptic refusals of credit cards with Firefox?

1•everybodyknows•27m ago•1 comments

KDE Plasma gesture handling and other input related news

https://blogs.kde.org/2026/05/03/gestures-in-graz-and-beyond/
2•f_r_d•28m ago•0 comments

Bringing WolfHSM to STM32H5 TrustZone: Production-Grade HSM on a Cortex-M33

https://www.wolfssl.com/bringing-wolfhsm-to-stm32h5-trustzone-production-grade-hsm-on-a-cortex-m33/
1•aidangarske•28m ago•0 comments

The A.I. Industry Is Booming. When Will It Make Money?

https://www.newyorker.com/news/the-financial-page/the-ai-industry-is-booming-when-will-it-actuall...
4•petethomas•30m ago•0 comments

Show HN: Continuum, a pedantic recreation of the OMNI font

https://github.com/ChristopherDrum/continuum/
2•ChristopherDrum•31m ago•0 comments

The First Firmware TPM with Post-Quantum Cryptography

https://www.wolfssl.com/the-first-firmware-tpm-with-post-quantum-cryptography/
1•aidangarske•32m ago•0 comments

SEC vs. Consent Motion for Entry of Final Judgement [pdf]

https://www.sec.gov/files/litigation/complaints/2026/judgment26548.pdf
1•ksherlock•33m ago•0 comments

The First COSE Implementation with ML-DSA

https://aidangarske.github.io/wolfCOSE/blog/wolfcose-pqc-cose/
1•aidangarske•37m ago•0 comments

The case against OpenAI is getting markedly stronger

https://twitter.com/garymarcus/status/2051347785761616101
4•abriosi•37m ago•0 comments

Why Waste Money?

https://rentry.co/it937bh4
2•gavmor•39m ago•1 comments

Show HN: 10K English words traced to 4 foundations(Space, Time, Energy, Pattern)

1•sauronsrv•41m ago•0 comments

Ask HN: Where are you getting your AI news from?

4•baetylus•42m ago•0 comments

SprintiQ – open-source sprint planning for Claude Code

https://github.com/SprintiQ-Incorporated/sprintiq
2•sprintiq•44m ago•0 comments

One Map Key, One Lookup

https://testing.googleblog.com/2026/04/one-map-key-one-lookup.html
2•birdculture•47m ago•0 comments

Must We 'Do Lunch'?

https://www.ft.com/content/13265324-7614-40a2-a3f6-0066ffb83c21
1•JumpCrisscross•49m ago•0 comments

Nothing Is Something

https://blog.jim-nielsen.com/2024/nothing-is-something/
2•SpyCoder77•49m ago•0 comments

HeadVis: An Interactive Tool for Investigating Attention Heads

https://transformer-circuits.pub/2026/headvis/index.html
2•rajeevn•55m ago•0 comments

Powerful AI finds 100 hidden planets in NASA data including extreme worlds

https://www.sciencedaily.com/releases/2026/05/260502233926.htm
3•bilsbie•58m 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.