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Dedicated Infrastructure vs. Cloud Cost at Scale

https://www.hostdime.com/blog/dedicated-infrastructure-vs-cloud-cost/
1•bhartzer•1m ago•0 comments

We've extended Fable 5 promotion through July 12, 2026 at 11:59:59 PM PT

https://support.claude.com/en/articles/
2•theanonymousone•2m ago•0 comments

AF_ALG "Nightmare" Being Further Limited In Linux 7.3 With New Sysctl Knob

https://www.phoronix.com/news/AF-ALG-Restrict-Sysctl-Linux
1•Bender•5m ago•0 comments

Show HN: YOLO mode, not on your laptop

http://docs.voids.run/blog/yolo-mode-not-on-your-laptop/
1•zhshhan•6m ago•0 comments

Anthropic is launching Claude Cowork on mobile and web

https://www.theverge.com/ai-artificial-intelligence/961978/anthropic-claude-cowork-mobile-web
2•ilreb•6m ago•0 comments

General Radio Company

https://mitmuseum.mit.edu/collections/organization/3901
1•stmw•7m ago•1 comments

The Bessent Doctrine (Essay by Mohammed El-Erian)

https://www.nytimes.com/2026/07/07/opinion/scott-bessent-trade-economy.html
1•cs702•8m ago•0 comments

The Many Casualties of Precision Warfare

https://jacobin.com/2026/05/iraq-precision-weapons-civilians-responsibility
1•speckx•8m ago•0 comments

The Software Engineering War

https://www.manager.dev/newsletter/the-software-engineering-war
1•pmg101•9m ago•0 comments

America's missing middle: The shrinking 45-64 population

https://www.axios.com/2026/07/07/gen-x-population-shrinking-taxes-economy
2•toomuchtodo•10m ago•1 comments

Show HN: I Recreated Digg Labs

https://www.topaztee.com/digglabs/
1•topaztee•10m ago•0 comments

Enabling non-devs to contribute code at Slack

https://www.aviator.co/podcast/devex-slack-frances-coronel
1•tonkkatonka•10m ago•0 comments

"We're extending access to Claude Fable 5 on all paid plans through July 12."

https://twitter.com/claudeai/status/2074548242386178258
4•minimaxir•12m ago•1 comments

Run Multiple Claude Accounts Side by Side on macOS

https://old.reddit.com/r/ClaudeAI/comments/1uq27do/run_multiple_claude_accounts_side_by_side_on_m...
1•IGHOR•12m ago•0 comments

Your family's $300 stake in OpenAI

https://www.technologyreview.com/2026/07/06/1140176/your-familys-300-stake-in-openai/
2•Brajeshwar•14m ago•0 comments

I tried to build a post scheduler but meta app review messed it up

1•anirudh_parmar•15m ago•0 comments

Show HN: HTMLDrive – serve HTML files from your Google Drive

https://html-drive.com
3•debamitro•16m ago•0 comments

Show HN: Fence – Jiminy Cricket for AI coding agents

1•andriosr•17m ago•0 comments

Designing tech to have good etiquette

https://caseorganic.substack.com/p/sit-siri
1•SLHamlet•18m ago•0 comments

Review AI code line by line is like review movies frame by frame

https://bsky.app/profile/metaessen.bsky.social/post/3mq33yrxeh22a
1•lilerjee•18m ago•0 comments

Type-safe Django fork – Django-CFG

https://djangocfg.com/
1•Onavo•18m ago•0 comments

Emerging evidence links tire pollution to Alzheimer's risk

https://www.eurekalert.org/news-releases/1134924
2•ndsipa_pomu•19m ago•0 comments

Manna (2003)

https://marshallbrain.com/manna1
1•Curiositry•19m ago•0 comments

I found 3 self-contradictions in the Agentic Commerce Protocol spec

https://github.com/baseballcubs99x-dev/acp-check
1•JBIRMING199•20m ago•0 comments

Trump renews Greenland threats at NATO summit

https://www.cnbc.com/2026/07/07/trump-nato-summit-greenland-us-troops-europe.html
2•tcp_handshaker•21m ago•0 comments

Incentives Drive Everything

https://yusufaytas.com/incentives-drive-everything
1•Curiositry•22m ago•0 comments

Managed Agents in Gemini API: background tasks, remote MCP and more

https://twitter.com/GoogleAIStudio/status/2074533418004591077
1•pretext•24m ago•0 comments

A dummy/debug app that runs a web server and prints environment variables

https://github.com/whalesalad/docker-debug
1•mooreds•24m ago•0 comments

Show HN: ComplyLedge – Clean, normalized OSHA enforcement data via API

https://complyledge.com
1•infinito25•25m ago•0 comments

Why we're moving Wire off Cloudflare Durable Objects

https://usewire.io/why-wire/architecture-benchmark/
1•jitpal•25m 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.