almaight

It's been over a year since it came out, based on kata-container

Could this ternary model be more easily replicated on the Taalas HC1?

https://github.com/novvoo/gogpt

I've been working with PDFs lately, but I'm using PostScript.

Since the project is not a c++ technology stack, I spent 1,200 dollars to use vibe coding and pure golang to make a pdf renderer, which realized the work of cairo+poppler.

Does it support the mwss protocol?

This thing can't be replaced by bun on Linux.

So it might have been Chinese before.

Both FluxCD and ArgoCD, which use CRDs in Gitops, have a serious flaw: will these tools fail when your Kubernetes needs an update? I've encountered incompatibility issues even with simple Helm (which failed due to changes in the HPA API), let alone OPSs that forcibly depend on CRDs. GitLab CI + Pulumi/Kusion is the most stable solution.

Technological communism means that everyone can afford the latest technology.

mwss https://github.com/go-gost/x/blob/master/dialer/mws/dialer.g...

No, they are no longer; they are now Singaporean companies.

Fully HTTPS traffic can bypass that damned Great Firewall. Greetings from inside the Great Firewall.

The US government is becoming another Soviet Union.

Ring-1T

Ring-1T,a SOTA open-source trillion-parameter reasoning model

So I wrote an MCP using your code: https://gurddy-mcp.fly.dev. You can get the source code from https://github.com/novvoo/gurddy-mcp.

https://www.google.com/search?q=Anna%27s+Archive

Does anyone know about PRISM?

Video games have long served as a crucial proving ground for artificial intelligence. Like the real world, they offer rich, dynamic environments with responsive, real-time settings and complex challenges that push the boundaries of AI capabilities. The history of AI in gaming is marked by landmark achievements, from mastering classic board games to achieving superhuman performance in complex strategy titles. However, the next frontier lies beyond mastering individual, known environments.

To meet this challenge, we introduce Game-TARS: a next-generation generalist game agent designed to master complex video games and interactive digital environments using human-like perception, reasoning, and action. Unlike traditional game bots or modular AI frameworks, Game-TARS integrates all core faculties—visual perception, strategic reasoning, action grounding, and long-term memory—within a single, powerful vision-language model (VLM). This unified approach enables true end-to-end autonomous gameplay, allowing the agent to learn and succeed in any game without game-specific code, scripted behaviors, or manual rules.

With Game-TARS, this work is not about achieving the highest possible score in a single game. Instead, our focus is on building a robust foundation model for both generalist game-playing and broader computer use. We aim to create an agent that can learn to operate in any interactive digital environment it encounters, following instructions just like a human.

https://seed-tars.com/game-tars

0.Earth 100%

"multi-modal feature extraction → semantic translation → cross-modal feature transfer → precise temporal alignment," is all we need

reddit/x.com/4chan

so sarcastic when it first came out, but now you are so polite.

This is the generator demo of k8s I made before. https://k8s-generator.vercel.app/

The most commonly used ones now are qwen and doubao. Who cares what glm is?

https://fanyi.caiyunapp.com/

What is needed more now is YAML, especially the visualization of the YAML format supported by k8s by default. On the contrary, in the devops community, people need to generate YAML through HTML to execute cicd. For example, this tool shows k8s-generator.vercel.app

Europe used to be a bystander to China, but now Europe has become the new China