Here’s an early prototype of an AI designed and 3D printed electronic motor. We used our Continuum Engine platform to produce electromagnetic, thermal and mechanical simulations rapidly for the 3D optimised model. The physical product was constructed, molecule by molecule, by our Fabricator. The goal is to enable full products - from drones to satellites and medical devices - fully assembled from raw material by one small machine. No supply chain fragility, entirely under one roof. Producing all electronics, motors, chassis, batteries, antennas all together, rapidly and more optimised than possible with yesterday’s machines. We’re very close to letting you vibe code with a real-life matter compiler.

We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence. block.xyz/dessa

Unitree Introducing: H2-X Kung Fu Legend Guardian🤖 Powerful performance to serve and guard you, with a maximum endurance of approximately 8 hours. Please use the robot safely and in a friendly manner.

Spectacular Nature piece on why AI is not conscious and probably will never be. Three arguments: 1) Intelligence is not consciousness. Intelligence is about solving problems. Consciousness is about having subjective experiences. AlphaFold can solve super difficult problems. By contrast, our brains performs complex operations entirely outside awareness. Problem-solving and consciousness are two separate things. 2. Biology is essential. Our brains are alive, down to every cell. Their activity is inseparable from the living tissue that produces it. The idea that consciousness can be reproduced simply by running the right computations on silicon components who do not fight for their life is a very far fetching and, I would add, almost religious, assumption. 3) The physical organization may matter more than the computation. According to integrated information theory, consciousness requires specific causal relationships between a system’s physical components. The computer architectures running today’s AI lack this organization. The comparison with AlphaFold is particularly revealing: Almost nobody things AlphaFold is conscious, despite its inner working is very similar to an LLM Why? Because it does not speak. LLMs do speak like us and therefore we fall into an illusion: Since they speak like us, they must be like us. But this inference is wrong. LLMs are just a series of matrix multiplications. They are not conscious, and they will never be. * Paper in the first reply

Gemini 4 Argon on a life changing book no one has ever heard of

🚨: FOR THE FIRST TIME, HUMANITY "SAW" A REAL MOLECULE Not an illustration. It's not a 3D render. It's not digital art. It's an actual molecule.

Real life, baby

JUST IN🚨 : Researchers have managed to reverse the biological age of human skin cells by up to 30 years, effectively turning 53-year-old cells into 23-year-old cells, using a technique called partial cellular reprogramming.

Scientists are losing their minds over this paper. They proved every mitochondria in your body is a tiny quantum device running at 71 THz. And it responds to light. Researchers detected a mysterious 71.0-terahertz vibration signal. this frequency is only present in healthy, living cells and tissues. exact moment the cell dies or the mitochondrial structures are broken apart, the signal vanishes completely. How does this happen? Classical physics has always struggled to explain the high energy-efficiency of life. So the team built a quantum model of light-matter coupling and discovered something called a "mito-polariton". It is a literal quantum superposition state that forms when light couples with lipid ch2 bonds inside functional mitochondria. This quantum resonance splits the intrinsic vibration mode into two levels, creating that bizarre 71 thz frequency that you only see in living things. Why does this matter? Because this quantum state actually acts as a highly efficient channel to modulate atp production in living cells. our bodies literally use quantum mechanics to generate the energy that keeps us alive.

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

Researchers built an analog chip that runs LLM attention 100x faster than an H100 and uses 70,000x less power. It's called GainCellAttention. Every AI chip you use is built on an 80-year-old flaw called the von Neumann architecture. the processor and the memory are physically separated. To generate a single word, a GPU has to shuttle massive amounts of data back and forth across this divide. Over and over again. Moving that data costs up to 10,000x more energy than actually doing the math. But a team of researchers published a paper in Nature that completely destroys this bottleneck. They built an analog in-memory computing architecture. Instead of moving data from the memory to the processor, they put the processor inside the memory. Using emerging hardware called "gain cells," the AI performs its most expensive calculation, the attention mechanism, directly inside the storage arrays. The data never moves. The compute happens exactly where the memory lives. The result? A massive leap in energy efficiency and speed. It completely eliminates the latency of fetching data for every single token. It is building AI chips that function exactly like the human brainwhere memory and computation are the exact same thing.

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

at yc demo day i heard a 21yo solo founder raised a seed at a $240m valuation the seed: 🌳

NEW: @HypershellTech just unveiled an AI-powered exoskeleton for your legs. Halo is a full-leg wearable robot that supports your hips and knees so hiking, stairs, hills, and carrying gear take less effort. -AI predicts how you are moving and adjusts support in real time -30+ sensors track your posture and motion -4 motors assist both hips and knees -Helps with uphill climbs, downhill movement, stairs, squats, and load-carrying -Folds small enough to fit in a backpack -Removable battery gets up to 12.4 miles of range Preorders start at $2,299. Deliveries are expected to begin in November.

A robot that swims underwater, then flies straight out of it! 🦢 Water is 1,000 times denser than air. Moving through one or the other normally means two completely different machines. Around 100 bird species disagree. Loons, gulls, puffins and petrels dive after prey, then leap back into the sky. Engineers at MIT and EPFL built a robot that does the same thing. It's a flapping-wing aerial-aquatic vehicle, it weighs under 300 grams, and the results are out in Science. @RaphZufferey who runs the AURA Lab at MIT, is lead author. A waterproof motor drives a crankshaft that pumps two flexible wings up and down at set frequencies, and a motorised tail changes angle to climb or dive. The wing membranes are coated with hydrophobic nanoparticles so water sheds off them. Wing flexibility turned out to be the whole game. Flexible enough to keep flapping amplitude low in water, firm enough to hold the robot up in air. → Swims at almost 1 m/s flapping at around 5 Hz → Flies at around 6 m/s at a similar frequency, close to real diving birds → The water-to-air transition needs a pitch of around 70°. Shallower and the wingtips catch the surface, steeper and it falls back in My favourite finding is the one about feet. Puffins and ducks paddle at the surface to get airborne, so the team assumed a robot would need something equivalent. It doesn't. Wings and tail alone are enough. Funded in part by a Marie Skłodowska-Curie fellowship 🇵🇱 Read more here: news.mit.edu/2026/new-flappi… ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

Meet the 42g #Robot Bird That Flies Like the Real Thing by @sutoroveli_news #EmergingTech #Technology #Innovation

Graph of the first nine harmonics and an x-ray of a conch shell's inner structure

🚨: CERN detects a particle called a ‘Tetraquark’ present in two different locations at the same time.