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Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•33s ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•4m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•5m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•7m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•14m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•15m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•20m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
4•mooreds•20m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•21m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•23m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•27m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•29m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•29m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•30m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•32m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•32m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•33m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•33m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•38m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•40m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•41m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•42m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•43m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•43m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•45m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•46m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•46m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•47m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•48m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•50m ago•0 comments
Open in hackernews

Ask HN: Are AI generated stuffs intentionally bad?

1•revskill•5mo ago
I'm not sure why, but i don't know why the whole AI generated things are confusing because it seems intentionally badly trained to generate bullshits more often then it should. Do you guys have the same problem ?

My hypothesis is: it's designed that way to generate more profits.

Comments

rlv-dan•5mo ago
> it seems intentionally badly trained

This implies that available training code is good. Consider for example how many GitHub repos are students just trying to learn to code.

ungreased0675•5mo ago
I think it’s more likely LLMs naturally produce variable quality outputs.

Because, if you had a machine that could automatically generate excellent code, would you sell access to it, or would you use it to put every other software company out of business?

incomingpain•5mo ago
>I'm not sure why, but i don't know why the whole AI generated things are confusing because it seems intentionally badly trained to generate bullshits more often then it should. Do you guys have the same problem ?

First, Hanlon's Razor: Never attribute to malice that which is adequately explained by stupidity.

Second, imagine how you train your model. You want a huge selection of quality writing. If you were to input Twitter posts into your model, your model will be dumb as rocks. So you put in literature. Science articles. Technical documentation. If you're Anthropic, you pirate all those books.

The model you get out then is very high quality. Then you ask it to output text and it is going to output this average tone, style, quality from centuries of writing. The text you're getting is 2% shakespearean, 4% old english, 5% japananese english translated manga.

You need to ask it for exactly what you want. If you dont, it will be confusing.