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“This past week, we completed a difficult organizational overhaul focused on improving future execution, using as much feedback as we could gather from the entire company,” Musk wrote. “Those who remain are highly regarded by those around them.”

The short memo, titled “Performance Awards,” is Musk’s first communication to Twitter employees since he laid off hundreds more of them, including several senior loyalists and nearly all of the product team without warning over the weekend. (Platformer’s Zoë Schiffer first tweeted about the memo.)

After several rounds of cuts and demanding that employees be “extremely hardcore,” Musk hasn’t yet shared details about how he will make up for the stock awards that went away when he took Twitter private. In previous internal comments, he has alluded to the system he set up at SpaceX to let employees regularly sell the company’s stock to interested investors. Given Twitter’s distressed financial situation relative to SpaceX, it’s unclear what the appetite for its stock will be in the short term.

On stage in front of packed rooms, at lavish private venture capital dinners and over casual games of ping pong, San Francisco’s AI startup scene is blowing up. With tens of thousands of laid off software engineers with time to tinker, glistening empty buildings beckoning them to start something new, and billions of dollars in idle cash in need of investing, it’s no surprise that just weeks after viral AI companion ChatGPT made its jaw-dropping debut on Nov. 30, one of the smartest cities in the world would pick generative AI as the driver of its next economic boom.


San Francisco’s AI startup scene is blowing up thanks to the ChatGPT craze and backing from investors like Y Combinator, Bessemer, Coatue, Andreessen Horowitz, Tiger Global, Mark Benioff’s Time Ventures and Ashton Kutcher’s Sound Ventures. Meet the players who are shaking up the tech mecca.

Our new series The Future with Hannah Fry explores the science, tech and people on the cusp of the most transformative breakthroughs of our age – from AI to clean energy. Watch the first episode on Bloomberg Originals on Feb. 22.


Do you want to know what your future holds? A life beyond 150 years old? A world where computers can read our emotions? A planet transformed by unlimited clean energy? Mathematician Hannah Fry will explore these questions and more in the new series The Future With Hannah Fry, debuting on Bloomberg Originals on Feb. 22.

Watch The Future With Hannah Fry on Wednesdays at 8:30 p.m. ET on Bloomberg.com, the Bloomberg app on your connected TV, Apple TV, Roku, Samsung TV.

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Nice. But I’m more concerned about the jobs that will be lost from this.


#Zoox #youtube #ai #yahoofinance.
This segment originally aired on February 17, 2023.
Zoox CEO Aicha Evans joins Yahoo Finance Live anchors Dave Briggs and Seana Smith to discuss approval of its self-driving auto by the California DMV, the state of the autonomous vehicle industry, and Amazon’s ownership of the company.
Don’t Miss: Valley of Hype: The culture that built Elizabeth Holmes.
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Check out all the on-demand sessions from the Intelligent Security Summit here.

2022 has been a dynamic year for quantum computing. With commercial breakthroughs such as the UK Ministry of Defence (MoD) investing in its first quantum computer, the launch of the world’s first quantum computer capable of advantage over the cloud and the Nobel Prize in Physics awarded for ground-breaking experiments with entangled photons, the industry is making progress.

At the same time, 2022 saw the tremendous accomplishment of the exaflop barrier broken with the Frontier supercomputer. At a cost of roughly $600 million and requiring more than 20 megawatts of power, we are approaching the limits of what classical computing approaches can do on their own. Often for practical business reasons, many companies are not able to fully exploit the increasing amount of data available to them. This hampers digital transformation across areas most reliant on high-performance computing (HPC): healthcare, defense, energy and finance.

A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO) problems relevant to real-world scenarios quickly and efficiently. Named Amorphica, the annealer has the ability to fine-tune parameters according to a specific target CO problem and has potential applications in logistics, finance, machine learning, and so on.

The has grown accustomed to an efficient delivery of goods right at our doorsteps. But did you know that realizing such an efficiency requires solving a mathematical problem, namely what is the best possible route between all the destinations? Known as the “traveling salesman problem,” this belongs to a class of mathematical problems known as “combinatorial optimization” (CO) problems.

As the number of destinations increases, the number of possible routes grows exponentially, and a brute force method based on exhaustive search for the best route becomes impractical. Instead, an approach called “annealing computation” is adopted to find the best route quickly without an exhaustive search.

Cory Doctorow, science fiction author, activist, journalist, and blogger, joins David to discuss Big Tech, censorship, science fiction, and much more.

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When Ben Reinhardt was an undergrad at Caltech, he often passed a mural painted on the back of a building on campus. It included a quote from Theodore von Kármán, a scientist and engineer who served as the first director of JPL: “Scientists study the world as it is, engineers create the world that never has been.”

But a recent paper published in Nature described a decline in scientific progress over the last few decades.


Some of the other new scientific institutions experimenting with shaking up the traditional structure of research include Arcadia Institute, based in the Bay Area, which is dedicated to a translational program that, “will provide a unique combination of funding, support, and access to accelerate new product development.”

Alexey Guzey is another leader in this space; he recognized a gap in opportunities for young scientists and initiated New Science, which plans to finance entire labs outside of academia, and turn “the process of doing science into an experiment itself.” For a better overview of all the new types of research organizations, check out Sam Arbesman’s The Overedge Catalog.

Reinhardt’s vision for a private DARPA (laid out in the 278 page whitepaper) begins with the simple call to action, “How can we enable more science fiction to become reality?” The document attracted the attention of investors. Today, they announced the launch of Speculative Technologies with initial backing from Schmidt Futures, Patrick Collison, Protocol Labs, the Sloan Foundation. The board for the non-profit includes Kanjun Qiu, founder of Generally Intelligent, an AI research company, and Adam Marblestone, founder and CEO of Convergent Research.

I have to admit, it’s very human like. It makes we wonder if the incident if fabricated, but it may also be true.


SOPA images/Getty.

The concept of a conversational chatbot shot to fame with OpenAI’s ChatGPT, which can provide paraphrased answers for users’ detailed queries and write poetry or code with equal ease. Microsoft, which has provided financial support for OpenAI’s work, has incorporated the chatbot into its Bing search engine, providing users with a new way to search for information. The service’s rollout is still slow, with few users getting access. However, their experience has been interesting.