SergiuNistor

I keep seeing reels related to Bird Game 3 (here's a compilation: https://www.youtube.com/watch?v=KSu1OuTQBfM).

Bird Game 3 is depicted as this old game (~2009 iirc) which used to have lots of players, and cool, engaging multiplayer mechanics, giving you this sense of "second-hand nostalgia". Some reels even claim that the servers have been closed. I rarely play games (maybe once a year), but the reels indeed convinced me to at least look into the game, especially since it is so popular.

However, it turns out Bird Game 3 never existed, and all the videos are AI-generated. There are 3 possibilities: 1. This is just a trend, and people simply keep it going for fun 2. This is a genius market validation/marketing scheme for a game that's about to drop soon 3. All of the above

Curious about your opinions. It might be that this approach is already popular, but I was not aware of it.

Hey everyone!

I’ve been working on NanoGPTForge, a modified version of Andrej Karpathy's nanoGPT that emphasizes simplicity, clean code, and type safety, while building directly on PyTorch primitives. It’s designed to be plug-and-play, so you can start experimenting quickly with minimal setup and focus on training or testing models right away.

Contributions of any kind are welcome, whether it is refactoring code, adding new features, or expanding examples. I’d be glad to connect with others interested in collaborating!

Check it out here: https://github.com/SergiuDeveloper/NanoGPTForge

Hey everyone!

I’ve been exploring the idea of building efficient large language models — ones optimized for memory use and inference speed, especially for real-time and edge deployment.

I’ve come across concepts like Hierarchical Reasoning Models and Tiny Recursive Models, which seem strong on reasoning benchmarks like ARC-AGI, but don’t appear to have been applied to language generation yet.

I’ve also looked into spiking neural networks, which look promising in theory but still seem to struggle with more complex tasks.

Curious if the area of efficient LLMs is still an active area of research.

Would love to hear your thoughts and connect with anyone interested in this space!

Hey HN!

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We’d love your feedback! Try it out and let us know what you think.

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