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VLM -> LLM -> Diffusion model -> VLM -> LLM -> LOL

Unpopular opinion: It's been a year since I have ditched moka and switched to instant soluble coffee (not the sugary ones), and have never looked back. I've got 99 problems, but a beverage ain't one.

Use it not just with the intention of simplifying your tasks, but use it to also learn and build new things.

Now that the #NeurIPS2025 reviews are out, bracing myself for the annual flood of complaints on X feed about how amazing (read terrible) the reviews are.

A brief thread on distillation, talking about (1) how it works (2) why it works and why students can learn to classify unseen classes (3) why students need less data than teachers (4) why students can outperform teachers (5) why the training data is not what you think it is (1/8)

Let's rename the conference to MatryoshkaBench, benchmarks within benchmarks

When I spot "delve", "tapestry" or em dash in a submission that I am reviewing.

VGGT has been re-licensed to allow commercial usage. Enjoy the gift 😉😇 👉 huggingface.co/facebook/VGGT-…

nobody: the ablation study section of a deep learning paper:

Petition to replace the "Broader impacts" section in conference submissions with "Things we tried that didn't work". Broader impacts mostly talk about run-of-the-mill speculative and potential implications of the work that are either fake or unfounded.