Quick AI Workspace
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Quick AI Workspace
@QouiqAI
A cutting-edge platform dedicated to unleashing the power of artificial intelligence. With a suite of innovative products.





Supplementary information for the new DeepSeek R1 Nature paper is very interesting! Details on training data, hyperparameters, base model importance, and more.

















there are probably less than ~100 people living who can write performant CUDA kernels for training specifically. definitely quite a bit more if we include inference optimizations; backwards kernels, not so much




Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize throughput with thousands of simple cores sharing memory. The GPU architecture roadmap is a good starting point for diving deeper.


During Thanksgiving break last year, our AI co-scientist team @GoogleDeepMind @GoogleResearch - @Mysiak @alan_karthi met Prof @jrpenades @CostaT_Lab of @ImperialCollege. They were nearing a breakthrough on how bacteria share resistance genes and proposed a test for our AI co-scientist: pose their exact research question to the system and see what it found. Today in @CellCellPress, we share the results. Paper link - cell.com/cell/fulltext/…



Big Anthropic week fellas, buckle up



Announcing “K-Dense”, a multi-agent AI scientist that has already made a new discovery in aging research 🧵 @ashwingop & @BioStateAI tinyurl.com/3dmraa5k























