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🙄 I spend my nights riding, and thinking of ideas of how to save lives. AI and disruptive tech in my opinion will not replace jobs. It will make jobs much easier, through augmenting what a human can do like this.


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I’m diving deep into the concept of the Universal Productivity Dividend, a potential solution and alternative to UBI for the coming overhaul of the world’s entire socioeconomic system, when total job automation occurs.

We’ll explore what UPD is, how it works, and whether it could be the key to a more equitable future.

Since the Industrial Revolution, machines have been augmenting human labor. But the technological + AI advancements of the 2020s, and what’s coming, is a TOTALLY new shift for humanity.

With jobs up for automation, every sector is at risk – leading us to mass unemployment. Is UPD a real solution? Listen in and find out.

OpenAI pitched the White House on building data centers in the US as large as 5GW capacity — for ref, that’s enough to power 3 mil homes.

OAI’s analysis says it could add tens of thousands of jobs, boost GDP, and keep US ahead of China on AI.

Altman has spent much of this year trying to form a



OpenAI has pitched the Biden administration on the need for massive data centers that could each use as much power as entire cities, framing the unprecedented expansion as necessary to develop more advanced artificial intelligence models and compete with China.

“I estimate that 80% of 80% of all jobs, maybe more, can be done by an AI,” famed investor and entrepreneur Vinod Khosla has warned. “Be it primary care doctors, psychiatrists, sales people, oncologists, farm workers or assembly line workers, structural engineers, chip designers, you name it.”


Say hello to a universal income and a 3-day week.

The AI scene is electrified with groundbreaking advancements this month, keeping us all at the edge of our seats. A mind-blowing AI robot with human-like intelligence has the world in shock. Google DeepMind’s JEST AI learns at an astonishing 13x faster pace. OpenAI’s SearchGPT and CriticGPT, the force behind ChatGPT’s prowess, are disrupting industries. STRAWBERRY, their most powerful AI yet, takes center stage. GPT4ALL 3.0 is the AI sensation causing a frenzy, while OpenAI’s AI Health Coach promises personalized wellness solutions. Llama 3.1 emerges as a contender, and NeMo AI boasts a massive 128k context capacity, running locally and free. Microsoft’s new AI Search could redefine how we navigate information, while OpenAI’s latest unnamed model has the tech world buzzing with anticipation.

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Timestamps:

WASHINGTON (AP) — Imagine a customer-service center that speaks your language, no matter what it is.

Alorica, a company in Irvine, California, that runs customer-service centers around the world, has introduced an artificial intelligence translation tool that lets its representatives talk with customers who speak 200 different languages and 75 dialects.

So an Alorica representative who speaks, say, only Spanish can field a complaint about a balky printer or an incorrect bank statement from a Cantonese speaker in Hong Kong. Alorica wouldn’t need to hire a rep who speaks Cantonese.

Scientists at Northwestern University say they’ve invented a goo — yes, a goo — that could open the door to regenerating human knee cartilage, a finding that could eventually lead to new clinical ways to rebuild knee joints and avoid invasive and expensive knee replacement surgeries.

Cartilage is the connective tissue that wraps around joints and bones, working to absorb shock, aid mobility, and protect against painful bone-on-bone friction. These are all tough — and important! — jobs, and yet cartilage doesn’t naturally regenerate on its own. As a result, those with worn-down or damaged cartilage often wind up turning to knee replacement surgery. While effective, that road can be expensive and generally requires a lengthy recovery period.

That’s where the goo might come in.

Engineers have designed a tiny battery, smaller than a grain of sand, to power microscopic robots for jobs such as drug delivery or locating leaks in gas pipelines.


A tiny battery designed by MIT engineers could enable the deployment of cell-sized, autonomous robots for drug delivery within in the human body, as well as other applications such as locating leaks in gas pipelines.

The new battery, which is 0.1 millimeters long and 0.002 millimeters thick — roughly the thickness of a human hair — can capture oxygen from air and use it to oxidize zinc, creating a current with a potential of up to 1 volt. That is enough to power a small circuit, sensor, or actuator, the researchers showed.

“We think this is going to be very enabling for robotics,” says Michael Strano, the Carbon P. Dubbs Professor of Chemical Engineering at MIT and the senior author of the study. “We’re building robotic functions onto the battery and starting to put these components together into devices.”