XGBoost is all you need. @trainxgb
MACHINE LEARNING
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Alibaba Qwen3.6-35B-A3B Sparse MoE Model Released
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Alibaba released Qwen3.6-35B-A3B today. Big jump compared to Qwen 3.5-35B model. It's a sparse MoE, 35B total params, only 3B active. Natively multimodal, thinking and non-thinking modes. Hardfacts:
SWE-bench Verified: 73.4, near dense Qwen3.5-27B (75.0), way ahead of -
Nexar BADAS 2.0: V-JEPA collision prediction system
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BADAS 2.0: new collision prediction system from Nexar.
It's based on V-JEPA 2!!
JEPA is going to save lives. -
AI and HPC Accelerate Scientific Discovery from Hypothesis to Results
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Scientific discovery shouldn't take years when it could take days. On May 7, Domino is hosting a session on how AI, ML, and HPC are compressing the path from hypothesis to validated results. See what top research organizations are doing right now: https://
hubs.ly/Q04cgxCl0 -
Context Engineering: Structuring Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,
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Theoretical Beauty vs Practical Scalability in Machine Learning
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SVM and kNN are intellectually beautiful and practically capped. That's a real tension the field doesn't talk about enough. Theoretical cleanliness and empirical scalability pulled in opposite directions for basically the entire deep learning era, and scalability won every
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Guggenheim Fellows Awarded in Computer Science and AI Research
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Congrats to all the winners of the @GuggFellows
! In computer science, this includes my friend and collaborator Ilias Diakonikolas (UWisc, Madison) and Vinod Vaikuntanathan (
@Vinod_MIT
, MIT) -
Unsloth Enables GRPO Training for Gemma 4 on Consumer GPUs
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Train Gemma 4 with reinforcement learning! Unsloth just added GRPO support for Gemma 4. You can now RL fine-tune Google's latest model on a consumer GPU. The example notebook teaches Gemma 4 to solve Sudoku puzzles autonomously. The model learns through trial and error with
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15% of Americans willing to work for AI boss poll
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15% of Americans say they’d be willing to work for an #AI boss, according to new poll
by Graham Starr @TechCrunch Learn more: https://
bit.ly/4s0YvBx #ArtificialIntelligence #MachineLearning #ML -
ASI-Evolve: Open-Source AI Framework That Designs Better AI Autonomously
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Shanghai researchers built an AI that designs better AI than humans can. Most AI research still needs humans at every step. Read papers, form ideas, run experiments, repeat. ASI-Evolve is an open-source framework that does this loop entirely on its own. It works in four