Figma introduces Figma Specs, code layers in open beta, MCP integrations, and Payload CMS features to help AI agents adhere to brand design system rules.
Elon Musk's comments during SpaceX's Q3 earnings call about rapidly expanding AI computing capacity sparked a premarket rally in chip stocks including NVIDIA, Intel, and SanDisk. Musk expects to increase SpaceX's AI compute power to 2.5-3 gigawatts by year-end and add up to 13 gigawatts in 2027, signaling strong future demand for AI chips. Despite this, the rally's sustainability remains uncertain as Musk leases compute capacity on spot market rates without long-term contracts. The market will…
Many companies cannot say what their AI agents did yesterday. Two former Doppel engineers built an open-source tool that records what agents do, and a Wall Street trading firm discovered them while testing it on its own machines. Asymptote Labs just raised $5.5M to turn that record into real-time defense.
SpaceX just told investors its AI compute pays back faster than almost anyone expected, and now Michael Burry is betting that confidence will crack. Two earnings reports in the coming weeks will decide who is right.
One quote from Elon Musk sent chip stocks surging in premarket trading, but whether that momentum signals a real turning point or just a brief relief rally is what the rest of October will decide.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
While diffusion-based text-to-video (T2V) models have demonstrated impressive capability in generating realistic and temporally coherent videos, they often fail to respect fundamental physical dynamics. Although recent physics-constrained methods incorporate explicit dynamics…
We revisit Breiman's observation that reducing inter-tree correlation without weakening individual trees can improve random forests. Building on this principle, we introduce two variants: Dirichlet-Multinomial Bagging Random Forest (DM) and Dirichlet-Weighted Random Forest…
Post-training weight-activation quantization reduces the memory and inference costs of large language models, but aggressive W4A4 quantization remains difficult because activation outliers degrade effective quantization resolution. Although weight optimization, channel-wise…
World Action Models bring the predictive capabilities of video models into robot action generation, providing a rich foundation for modeling future visual states. Tactile sensing complements this foundation with direct measurements of physical interaction. Some existing methods…