the next multi-billion company will be ai reels on infinite loop (i saw in person a few friends one-shotted last night)
a lot of people are trying to make generative game / world platforms, just try reels instead
Minimax H3 Max has generates video faster than you can watch it so I hooked it to a twitch livestream! Now you can watch infinite interdimensional cable - link to the stream below
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
The wait is over! Meet Arduino VENTUNO Q, where AI takes action.
💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board
🧠 NPU + CPU + GPU +MCU: @Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control
🗄️ 16 GB RAM + 64 GB eMMC + expandable storage
🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS
🛠️ Build AI faster using Arduino App Lab, @huggingface, @EdgeImpulse, and Qualcomm AI Hub
💨 Move seamlessly from prototype to production through Works with Arduino Certification Program
The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI: https://t.co/YpDhKRuX6y
Researchers at Duke University’s General Robotics Lab have demonstrated SonicFly, a system that enables one UAV to estimate the relative position of another and follow it using only the sound of its propellers. It requires no GNSS sharing, radio communication, active acoustic signaling, cameras or ground infrastructure.
The follower carries a lightweight four-microphone MEMS array and an onboard computer (NVIDIA Jetson Orin Nano). By processing the acoustic spectrum together with inter-microphone phase and level differences through a neural network, the system estimates the leader’s bearing and range.
To separate the target’s signature from the follower’s own propeller and wind noise, the aircraft use propellers with different blade counts, creating distinct harmonic structures.
In outdoor tests the system maintained a mean distance error of 1.34 m. It currently operates as a coordinated leader-follower formation rather than autonomous interception of an unknown drone.
#SonicFly #Drones #UAV #DroneTechnology #AutonomousSystems #SwarmDrones #DukeUniversity