Lifeboat Foundation

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.

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.”

https://www.youtube.com/watch?v=URvja3IyMDo

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.

Continue reading “The Unexpected Truth About Google AI // 100k Giveaway /” »

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.

Continue reading “Tesla Bot Update: The humanoid is getting better and is learning faster than humans” »

https://youtube.com/watch?v=k2GhgO7SnZQ

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.

Continue reading “Meet Phoenix: The new humanoid robot built for general-purpose tasks” »

The move is a significant development in the world of artificial intelligence.

In what seems like a response to the growing competition in the open-source large language model (LLM) space, OpenAI will soon release a new open-source AI model to the public, reported The Information.

OpenAI hasn’t come up with an open-source model since 2019, and although the news is exciting, it might not be as sophisticated or in direct competition with its proprietary model GPT.

A team of researchers give a spin to Tetris, and make observations as people play the game.

We live in a world run by machines. They make important decisions for us, like who to hire, who gets approved for a loan, or recommending user content on social media. Machines and computer programs have an increasing influence over our lives, now more than ever, with artificial intelligence (AI) making inroads in our lives in new ways. And this influence goes far beyond the person directly interacting with machines.

A Cornell University-led experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceived the other player as less likable, regardless of whether a person or an algorithm allocated the turns.

Continue reading “How is human behaviour impacted by an unfair AI? A game of Tetris reveals all” »

In a wide-ranging and historic congressional hearing Tuesday, the creator of the world’s most powerful artificial intelligence called on the government to regulate his industry.

“There should be limits on what a deployed model is capable of and then what it actually does,” declared Sam Altman, CEO and cofounder of OpenAI, referring to the underlying AI which powers such products as ChatGPT.

He called on Congress to establish a new agency to license large-scale AI efforts, create safety standards, and carry out independent audits to ensure compliance with safety thresholds.

Continue reading “OpenAI’s Sam Altman To Congress: Regulate Us, Please!” »

This could get dangerous.