Introducing Nested Learning: A new ML paradigm for continual learning that views models as nested optimization problems to enhance long context processing. Our proof-of-concept model, Hope, shows improved performance in language modeling. Learn more: goo.gle/47LJrzI @GoogleAI

Researchers have mathematically proven that the universe cannot be a computer simulation. Their paper in the Journal of Holography Applications in Physics shows that reality operates on principles beyond computation. Using Gödel’s incompleteness theorem, they argue that no algorithmic or computational system can fully describe the universe, because some truths, so called "Gödelian truths" require non algorithmic understanding, a form of reasoning that no computer or simulation can reproduce. Since all simulations are inherently algorithmic, and the fundamental nature of reality is non algorithmic, the researchers conclude that the universe cannot be, and could never be a simulation.

Kimi Linear Tech Report is dropped! 🚀 huggingface.co/moonshotai/Ki… Kimi Linear: A novel architecture that outperforms full attention with faster speeds and better performance—ready to serve as a drop-in replacement for full attention, featuring our open-sourced KDA kernels! Kimi Linear offers up to a 75% reduction in KV cache usage and up to 6x decoding throughput at a 1M context length. Key highlights: 🔹 Kimi Delta Attention: A hardware-efficient linear attention mechanism that refines the gated delta rule. 🔹 Kimi Linear Architecture: The first hybrid linear architecture to surpass pure full attention quality across the board. 🔹 Empirical Validation: Scaled, fair comparisons + open-sourced KDA kernels, vLLM integration, and checkpoints. The future of agentic-oriented attention is here! 💡

🧠 New preprint: How Do LLMs Use Their Depth? We uncover a “Guess-then-Refine” mechanism across layers - early layers predict high-frequency tokens as guesses; later layers refine them as context builds Paper - arxiv.org/abs/2510.18871 @neuranna @GopalaSpeech @berkeley_ai

if you ever think you’re a good programmer just remember this dude wrote roller coaster tycoon by himself completely in assembly, earning him $30m in royalties

three years ago, DiT replaced the legacy unet with a transformer-based denoising backbone. we knew the bulky VAEs would be the next to go -- we just waited until we could do it right. today, we introduce Representation Autoencoders (RAE). >> Retire VAEs. Use RAEs. 👇(1/n)

Wan2.5: One Prompt, Perfect 'Vibe PSing'! Wan 2.5-Preview is now live with image editing. ✨ Instruction-based Image Editing.Supports a wide range of image-editing tasks and reliably follows instructions. ✨ Visual Elements Consistency.Supports generation from single- or multiple-image references, maintaining consistency of visual elements such as faces, products, and styles.

Introducing Qwen3-TTS! 🗣️ Our new text-to-speech model is designed to be multi-timbre, multi-lingual, and multi-dialect for natural, expressive audio. It delivers strong performance in English & Chinese, and we're excited for you to hear it for yourself!

To state it plainly: We never reduce model quality due to demand, time of day, or server load. The problems our users reported were due to infrastructure bugs alone.