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Show HN: Mnemosyne – Export AI chat to carry context from one tool into another

https://github.com/TheJoin95/mnemosyne/blob/main/README.md
1•thejoin95•14s ago•0 comments

GitHub Is Experiencing Difficulties

https://www.githubstatus.com/?d=2026/08/06
3•Jeaye•3m ago•0 comments

How Did Rogue Generate Its Random Dungeons?

https://howtomakeanrpg.com/r/a/rogue-dungeon-generation.html
1•danschuller•3m ago•0 comments

California Town Says Flock Cameras Misread License Plates 71% of the Time

https://www.techdirt.com/2026/08/06/california-town-says-flock-cameras-misread-license-plates-71-...
1•hn_acker•3m ago•0 comments

List of Trading Losses

https://en.wikipedia.org/wiki/List_of_trading_losses
1•_vaporwave_•4m ago•0 comments

Dress made of living mycelium can renew and repair itself

https://www.dezeen.com/2026/08/05/dress-living-mycelium-renew-repair/
1•speckx•6m ago•0 comments

API Is Not Your MCP Tool

https://ro14nd.de/mcp-tool-design-patterns/
2•DataOverload•8m ago•0 comments

Massachusetts prosecutors run their offices on software from the dial-up era

https://nasser.blog/dial-up-justice/
1•aragonite•9m ago•0 comments

Agent Plugins

https://twitter.com/OpenAIDevs/status/2085398373511918022
2•tosh•10m ago•1 comments

What's My Local AI?

https://whatsmylocal.ai/
3•chrismatic•11m ago•0 comments

JWT decoder with connect-src 'none', so it can't upload your token

https://jwt.jamuny.com/
2•pop3zxcv•15m ago•1 comments

Introducing: Cloudflare Agents

https://blog.cloudflare.com/agents-on-cloudflare/
2•zuckerborg0101•16m ago•0 comments

Export AI chat sessions to carry context from one tool into another

https://github.com/TheJoin95/mnemosyne
1•thejoin95•17m ago•0 comments

Open Questions on Open Weights

https://www.astralcodexten.com/p/open-questions-on-open-weights
1•reducesuffering•17m ago•0 comments

Microsoft filings suggest "around 70%" of its AI revenue is on OpenAI

https://www.windowscentral.com/artificial-intelligence/microsoft-filings-suggest-around-70-percen...
28•speckx•18m ago•4 comments

The Question Concerning Technology – Martin Heidegger (Wikipedia)

https://en.wikipedia.org/wiki/The_Question_Concerning_Technology
2•jonash54•19m ago•0 comments

Five Indie Platforms You Might Not Have Heard Of

https://brennan.day/five-interesting-indie-platforms-you-might-not-have-heard-of/
2•nate•20m ago•1 comments

Zapscape (CVE-2026-64561)

https://github.com/V4bel/Zapscape
2•john_strinlai•21m ago•0 comments

India's IT sector is surviving artificial intelligence

https://www.economist.com/finance-and-economics/2026/08/06/indias-it-sector-is-surviving-artifici...
4•alephnerd•25m ago•1 comments

How I became the villain of El Cerrito's Nextdoor

https://www.oaklandreviewofbooks.org/the-villain-of-el-cerrito-nextdoor/
1•bsimpson•29m ago•0 comments

LLMs and Programmatic Stagnation

https://systemist.net/changelog/letters/2026-07-31-programmatic-stagnation
1•tsraveling•29m ago•0 comments

Potions in Mageia. 01 – Pidgin and its accessories

https://blog.mageia.org/en/2026/08/05/potions-in-mageia-01-pidgin-and-its-accessories/
1•rw_grim•32m ago•0 comments

Maybe we just shouldn't build software with so many people

https://blog.nicoleta.cc/maybe-we-just-shouldnt-build-software-with-so-many-people/
2•speckx•32m ago•1 comments

A Subtle Web of Meaning

https://robertxworld.com/a-subtle-web-of-meaning/
1•devrob•33m ago•0 comments

Nashville uses eminent domain to block data center near zoo

https://nashvillebanner.com/2026/08/04/metro-council-data-center-eminent-domain-vote/
11•DeepLogin•33m ago•1 comments

A Pronoun for LLMs

https://blog.david.connol.ly/2026/08/lem.html
3•slartibardfast0•33m ago•1 comments

DeepSeek Plans 'Significant' Price Increase for AI Services

https://www.bloomberg.com/news/articles/2026-08-06/deepseek-plans-significant-price-increase-for-...
4•croes•35m ago•1 comments

New Melania Trump series coming to Amazon Prime after losses for documentary

https://www.euronews.com/culture/2026/08/06/new-melania-trump-series-coming-to-amazon-prime-after...
2•vrganj•35m ago•0 comments

Reflections on software engineering in the age of AI

https://glattetre.me/blog/reflections-on-software-engineering/
2•GOATS-•37m ago•0 comments

Notes On Distance Dialing (1956) [pdf]

https://explodingthephone.com/hoppdocs/nodd1956.pdf
2•colinprince•38m 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.