Dream 7B
Powerful Open Diffusion LLM, Beyond Autoregressive
What it does
Introducing Dream 7B, the most powerful open diffusion large language model to date. Matches/exceeds similar-sized AR models (LLaMA3, Qwen2.5). Excels at planning & offers flexible inference.
Does the same job
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- L3Llama 3.2 Interpretability with Sparse Autoencoders2024 · github.com · ▲579
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
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Launched alongside, April 2025
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Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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