Hacker News

Subscribe to Hacker News feed
Hacker News RSS
Updated: 51 min 59 sec ago

Show HN: A multiplayer play-money terminal casino for downtime

12 hours 29 min ago

Hi HN!

I created Anteroom, a hobby project allowing you to play casino (and non-casino) games with your friends in your terminal. The project is complete with hooks for Claude & Codex which allow in-app alerts as well as a global leaderboard.

Happy to take the past two weeks to craft this and there is definitely room to add more games in the future.

Cheers!

Comments URL: https://news.ycombinator.com/item?id=49180819

Points: 1

# Comments: 0

Categories: Hacker News

AI Agents for Logistics, Pitfall?

12 hours 32 min ago

Recently we've all seen the chart showing different industries and the amount of AI solutions being created for it in percentages. I remember that something that stood out was that the supply chain and transportation industry had less than 2%.

Now recently Happy Robot reached unicorn status and they started as AI voice agents but for almost a year now they've rebranded completely to "superintelligence" (among other similar iterations before they landed on that word). But something here doesn't line up, if agents are the future and they have the infrastructure to make all the agents from here to kingdom come, why would you pivot to "enterprise superintelligence"? More importantly, why keep trying with pure agent systems when one of the biggest startups is highlighting the importance of intelligence?

It's not only Happy Robot but also C.H Robinson, J.B Hunt and Project 44. The words on their highlights do say AI agents, but if you read about what they had to do/plan on doing, it all revolves around building a data layer/infrastructure that paves the way for AI agents. So are they building AI agents? Or are they building an infrastructure with the side benefit of agents?

Comments URL: https://news.ycombinator.com/item?id=49180795

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: An open-weight background removal model for difficult images

12 hours 35 min ago

For many everyday images, background removal works well. The remaining challenge is images with fine hair, fur, glass, transparent objects, motion blur, low-contrast subjects, or cluttered backgrounds. Improving results on those difficult cases has been the focus of this project.

This is the third iteration of the model, built through many rounds of training and evaluation. I've focused on improving performance on the kinds of images that are still difficult for many background removal tools.

I recently released the third iteration of my open-weight background removal model (Apache-2.0 for my contributions; see repository for third-party licensing). My goal is to make high-quality background removal easy to run locally (or on your own infra)

Some example results: - Open model results: https://withoutbg.com/open-model/results - Comparison with remove.bg: https://withoutbg.com/compare/withoutbg-open-model-vs-remove...

(The comparison intentionally focuses on challenging images, since many tools produce similar results on easier ones. I was more interested in showing where the approaches differ)

You can run the model in several ways: - macOS app: https://withoutbg.com/mac - GIMP plugin: https://github.com/withoutbg/withoutbg-gimp - Python package: https://github.com/withoutbg/withoutbg-python - Docker image/service: https://withoutbg.com/docs/open-model/docker - Model weights (Hugging Face): https://huggingface.co/withoutbg/withoutbg-openweights-onnx

I would be interested in feedback on both successes and failures. If you have images where the model produces poor results (or unexpectedly good ones compared to other tools) I would appreciate seeing/knowing them. Those kinds of examples have been the most useful for improving the model. I will be around to answer questions about the model, implementation, and the decisions behind it.

Comments URL: https://news.ycombinator.com/item?id=49180772

Points: 1

# Comments: 0

Categories: Hacker News

City Heat Field

12 hours 53 min ago
Categories: Hacker News

Run full-blown macOS on iPadOS 16

12 hours 55 min ago
Categories: Hacker News

Making difficulty curves in games

12 hours 57 min ago
Categories: Hacker News

The Depths She'll Reach (2021)

13 hours 1 min ago

Article URL: https://thedepths.longlead.com/

Comments URL: https://news.ycombinator.com/item?id=49180634

Points: 1

# Comments: 0

Categories: Hacker News

Pages