You’re right. I got lazy.

DFRA

Unfortunately the accounts listed under Social network accounts of Debian teams and Social network accounts of Debian contributors are almost exclusively Twitter accounts.

From the article:

DeepSeek-R1 release leaves open several questions about:

• Data collection: How were the reasoning-specific datasets curated?
• Model training: No training code was released by DeepSeek, so it is unknown which hyperparameters work best and how they differ across different model families and scales.
• Scaling laws: What are the compute and data trade-offs in training reasoning models?

These questions prompted us to launch the Open-R1 project, an initiative to systematically reconstruct DeepSeek-R1’s data and training pipeline, validate its claims, and push the boundaries of open reasoning models. By building Open-R1, we aim to provide transparency on how reinforcement learning can enhance reasoning, share reproducible insights with the open-source community, and create a foundation for future models to leverage these techniques.

In this blog post we take a look at key ingredients behind DeepSeek-R1, which parts we plan to replicate, and how to contribute to the Open-R1 project

I didn’t read your post correctly. Yeah, that’s harassment at the very least. No better than someone screaming at a retail worker because of some corporate policies.

It’s all about your organization’s size and if the organization makes use of the Anaconda controlled defaults channel. I’m not a lawyer, but your company may be liable for some licensing fee if your company is using Anaconda’s repository of binaries. You’d need to consult with an actual lawyer for more reliable assessment of your potential liability.

Switch to using miniforge and the conda-forge channel when installing and using Conda.

🤫

I also did not create this.

Randall Monroe has provided me with weekly nibbles of entertainment for nearly 2 decades. But this was inspired by his style, not created by him.