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Anthropic Unveils IPO Paperwork

https://www.wsj.com/livecoverage/stock-market-today-dow-sp-500-nasdaq-10-26-2026
1•pseudocoup•33s ago•0 comments

Anthropic Officially Files S1 – Shows $81B Net Loss

https://twitter.com/anthropicai/status/2114705042817110293
2•epsteingpt•1m ago•0 comments

Anthropic S-1

https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm#ica694c85...
1•ChrisbyMe•1m ago•0 comments

Formalizing Julia in Lean (and finding 400 bugs in Base)

https://discourse.julialang.org/t/formalizing-julia-in-lean-and-finding-400-bugs-in-base/140243
1•yurivish•2m ago•0 comments

iPhone Duo: Impressions in Motion

https://basicappleguy.com/basicappleblog/iphone-duo-impressions-in-motion
1•frizlab•4m ago•0 comments

Anthropic files S-1 with the SEC for proposed initial public offering

https://www.anthropic.com/news/s1-sec
4•meetpateltech•4m ago•0 comments

Show HN: Open public GitHub React repo in the browser – no clone, no install

https://blog.crossui.com/2026/10/open-the-repo-you-were-about-to-clone
1•linb•5m ago•0 comments

On OpenAI's Proof of the Nagata Conjecture

https://arxiv.org/abs/2610.30050
1•theanonymousone•5m ago•0 comments

Show HN: Printable Calendar Maker

https://makecalendars.com/
1•artiomartiom•6m ago•0 comments

Anthropic S-1

https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm
39•SiNTEx•6m ago•10 comments

iPad Mini

https://www.apple.com/ipad-mini/
1•doerig•6m ago•0 comments

Whytap – An open-source productivity toolkit in your Mac's notch

https://github.com/AbsoluteMode/whytap
1•niceizzy1337•8m ago•0 comments

Bugs in Apple, LLVM and NSA tools turned into trading cards

https://mi11ion.io/1000bars/
1•mi11ion•8m ago•0 comments

R/opensource bans AI-made and AI-focused projects and non-English speakers

https://www.tomshardware.com/tech-industry/artificial-intelligence/reddits-r-opensource-bans-ai-m...
2•NordStreamYacht•10m ago•1 comments

Show HN: Logfolio – A public log for books, films, games and anything you keep

https://logfolio.co/
1•symbolhunter•11m ago•0 comments

Organising my cross-stitch patterns

https://alexwlchan.net/2026/cross-stitch-patterns/
1•surprisetalk•11m ago•0 comments

Human-enhanced tsunami hazard in large lakes

https://www.nature.com/articles/s41467-026-78272-8
1•gumby•11m ago•0 comments

Garmin Revamps and Opens Up Connect Developer API Program

https://www.dcrainmaker.com/2026/10/garmin-connect-api-revamps-connect-developer.html
1•sltr•11m ago•0 comments

Fixing Tool-Call Accuracy in vLLM

https://www.ubicloud.com/blog/fixing-tool-call-accuracy-in-vllm
1•coffeemug•11m ago•0 comments

Crows make decisions twice as fast as humans and monkeys

https://phys.org/news/2026-10-crows-decisions-fast-humans-monkeys.html
2•pseudolus•11m ago•0 comments

Show HN: UnCode – Local voice dictation for Linux

https://github.com/XLongLink/uncode
1•Sau1707•11m ago•0 comments

Mathematicians and Programmers will still exist. You just won't have that job

https://blog.gonzobea.nz/blog/42/
2•gandreani•12m ago•0 comments

Show HN: Compactly – Compact Claude Code sessions between tasks

https://github.com/swapnildahiphale/compactly
1•swapnil2233•12m ago•0 comments

NXNative – Run any switch game natively on Apple Silicon

https://github.com/seedds/nxnative
1•ashray•12m ago•0 comments

Brown student maps the hidden global labor powering AI

https://www.brown.edu/news/2026-10-26/ai-data-workers
1•cdrnsf•12m ago•0 comments

Show HN: Image or AI – an AI image detector that shows which evidence it used

https://imageorai.com
1•caseymarlin•13m ago•0 comments

Shlemiel the Painter in 2026

https://dennisforbes.ca/blog/microblog/2026/10/shlemiel_the_painter/
1•llm_nerd•13m ago•0 comments

Zuckerberg can control Meta after death. He refused to give up that power

https://www.washingtonpost.com/technology/2026/10/26/zuckerberg-can-control-meta-after-death-he-r...
3•reaperducer•19m ago•1 comments

Clojure 1.13.0-Alpha10

https://clojure.org/news/2026/10/22/clojure-1-13-alpha10
2•simonpure•20m ago•0 comments

Show HN: Extending X402 for MoR fiat payments and budget attenuation

https://github.com/mceleri/attenuated-agent-budgets
1•mceleri•21m 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.