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In a paper published in the journal Nature on May 11, researchers at Google Quantum AI announced that they had used one of their superconducting quantum processors to observe the peculiar behavior of non-Abelian anyons for the first time ever. They also demonstrated how this phenomenon could be used to perform quantum computations. Earlier this week the quantum computing company Quantinuum released another study on the topic, complementing Google’s initial discovery. These new results open a new path toward topological quantum computation, in which operations are achieved by winding non-Abelian anyons around each other like strings in a braid.

Google Quantum AI team member and first author of the manuscript, Trond I. Andersen says, “Observing the bizarre behavior of non-Abelian anyons for the first time really highlights the type of exciting phenomena we can now access with quantum computers.”

Imagine you’re shown two identical objects and then asked to close your eyes. Open them again, and you see the same two objects. How can you determine if they have been swapped? Intuition says that if the objects are truly identical, there is no way to tell.

😗 year 2017.


Certain treatments for patients suffering from chronic diseases, such as inflammatory bowel diseases, require multiple intravenous or subcutaneous injections of specific drugs. Because of the pain and anxiety associated with needles, some patients stop adhering to these treatments.

MIT spinout Portal Instruments has now landed a commercialization deal for a smart, needle-free injection device that could reduce the pain and anxiety associated with needle injections, shorten administration time, and improve patient adherence.

Based on years of MIT research, the startup developed a jet-injection device that delivers a rapid, high-pressure stream of medicine, as thin as a strand of hair, through the skin in adjustable dosages, causing little to no pain. A connected app tracks each dose and the medicine’s effects, and uploads that information to the cloud, for patients and doctors. The device would be sold as a drug-device combination product to medical professionals and provided to patients with a prescription.

It’s been living up to that removal lately. At its annual I/O in San Francisco this week, the search giant finally lifted the lid on its vision for AI-integrated search — and that vision, apparently, involves cutting digital publishers off at the knees.

Google’s new AI-powered search interface, dubbed “Search Generative Experience,” or SGE for short, involves a feature called “AI Snapshot.” Basically, it’s an enormous top-of-the-page summarization feature. Ask, for example, “why is sourdough bread still so popular?” — one of the examples that Google used in their presentation — and, before you get to the blue links that we’re all familiar with, Google will provide you with a large language model (LLM)-generated summary. Or, we guess, snapshot.

“Google’s normal search results load almost immediately,” The Verge’s David Pierce explains. “Above them, a rectangular orange section pulses and glows and shows the phrase ‘Generative AI is experimental.’ A few seconds later, the glowing is replaced by an AI-generated summary: a few paragraphs detailing how good sourdough tastes, the upsides of its prebiotic abilities, and more.”

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Whenever we open a new window on the universe, we discover things that no one expected. Our newfound ability to measure ripples in the fabric of spacetime—gravitational waves—is a very new window, and so far we’ve seen a lot of wild stuff. We’ve observed black holes colliding, and their oddly high masses challenges our understanding of black hole formation and growth. We’ve seen colliding neutron stars that have forced us to rewrite our ideas of how many of the elements of the periodic table get made. But what else might be hiding in the ripples’ of spacetime? Oh, I know: how about the gravitational wakes caused by planet-sized alien spacecraft accelerating to near light speed.

Episode Companion Playlist:

In this Video I discuss if future of AI is in open-source.

The Leaked Document: https://www.semianalysis.com/p/google-we-have-no-moat-and-neither.
The Book: When The Heavens Went on Sale: https://amzn.to/3Il3rNF
Vicuna Chatbot: https://chat.lmsys.org.

00:00 — Google Has No Moat.
02:01 — A Brief History of Open-Source AI
04:03 — Is Future Open Source?
05:52 — Risks of Open Source.
07:41 — Linux is a good example.
08:54 — Soon OpenAI won’t matter.
10:14 — Giveaway.

Support me at Patreon: https://www.patreon.com/AnastasiInTech.

The company hasn’t really put a date for their actual deployment in its own factories.

Elon Musk’s electric car to solar-making company, Tesla, also has one more product in the pipeline aimed at wooing customers, The Tesla Bot. Musk announced the bipedal robot in 2021, and recently the company has provided an update on its progress through a 65-second video.

Regarding bipedal robots, the benchmark is relatively high, with Boston Dynamics’ Atlas capable of doing flips and somersaults. Musk, however, never said that Tesla was looking to entertain people with its robots’ antics.


A robot is just a tool, the real star is the AI control system.

At five feet seven inches (57’) and 155 pounds (70 kg), Phoenix, the humanoid robot, is just about the height of an average human. What it aims to do is also something that humans can casually do, general tasks in an environment, and that is a tough ask from a robot.

While humanoid assistants have been familiar with most science-fiction stories, translating them to the real world has been challenging. Companies like Tesla have been looking to make them part of households for a few years, but robots have always been good at doing specific tasks.