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InternVL-U: Understanding + Generation + Editing in One 4B Model -- A New Standard for Unified Multimodal AI
Shanghai AI Lab's InternVL-U. A single 4B parameter model handles image understanding, generation, editing, and reasoning-based generation. Decoupled visual representations outperform 14B BAGEL on GenEval and DPG-Bench.
Hybrid Mamba-Transformer MoE: Three Teams, One Architecture -- The 2026 LLM Convergence
NVIDIA Nemotron 3 Nano, Qwen 3.5, and Mamba-3 independently converge on 75% linear layers + 25% attention + MoE. 88% KV-cache reduction, O(n) complexity for long-context processing.
Spectrum: 3-5x Diffusion Speedup Without Any Training -- The Power of Chebyshev Polynomials
CVPR 2026 paper from Stanford/ByteDance. Chebyshev polynomial feature forecasting achieves 4.79x speedup on FLUX.1, 4.56x on HunyuanVideo. Training-free, instantly applicable to any model.
PremiumBuild Your Own autoresearch — Applying Autonomous Experimentation to Any Domain
Apply the autoresearch pattern to text classification, image classification, and RAG pipelines. Includes a universal experiment runner and program.md template.
PremiumRunning autoresearch Hands-On — Overnight Experiments on a Single GPU
From environment setup to agent execution and overnight results analysis. Tuning guide for smaller GPUs and practical tips.
Inside Karpathy's autoresearch — Building an AI Research Lab in 630 Lines
A code-level deep dive into Karpathy's autoresearch. Dissecting train.py, BPE tokenizer, MuonAdamW optimizer, and the agent protocol design.