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…
We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return text. The user's query is embedded in the audio and video,…
Temporal action localization (TAL) in wearable sensor streams identifies action classes and temporal boundaries, enabling finer-grained activity understanding than conventional action recognition. However, training typically requires costly start--end annotations for every…
Embodied foundation models are constrained by the limited scale and diversity of robot demonstrations, motivating the use of large-scale egocentric human interaction data. However, how to effectively incorporate such data into embodied-model pre-training remains unclear because…
Deep neural architectures are widely used for signal processing in automated pain assessment systems. However, architecture design has remained largely a manual task despite the potential efficiency benefits of Neural Architecture Search (NAS). Embedding NAS in a…