Lifeboat Foundation: Safeguarding Humanity
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That statement, now signed by twice as many concerned citizens, warned about the risk of human extinction from AI, which was perhaps a bit of an overreach, because … well, extinction? Come on! That’s just a movie with Arnold Schwarzenegger.

What they should have warned about was jobs — the redundancy and destitution of most of humanity, unless there’s some kind of universal income funded by taxes on robots.

What no-one talks about, as the AI revolution unfolds in stock market hype and scientific gung-ho, is what they’re all really trying to do.

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In this video, Dr. Ben Goertzel, CEO of SingularityNET, TrueAGI and the Artificial Superintelligence Alliance (ASI Alliance), analyzes DeepSeek LLM as an efficiency advancement rather than an AGI breakthrough. The model’s open-source implementation and technical architecture (mixture of experts and multi-token training) improve accessibility while maintaining performance. This development demonstrates the continued democratization of AI capabilities and may redirect industry focus toward alternative computing architectures and decentralized systems.

0:00 Intro.
00:33 Initial Thoughts on DeepSeek.
01:25 Efficiency Gains and Their Implications.
02:58 Technological Singularity and Rapid Advances.
04:07 DeepSeek’s Underlying Technology.
07:27 Open Source Approach and Its Benefits.
09:58 China’s Role in AI and Open Source.
12:20 Broader Implications for AI and AGI
15:42 Conclusion: The Path to Technological Singularity.

#AGI #Deepseek #AI
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SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

Continue reading “Ben Goertzel on DeepSeek And The Path To AGI” | >

In today’s AI news, Google launched its much-anticipated new flagship AI model, Gemini 2.0 Pro Experimental, on Wednesday. The announcement was part of a series of other AI model releases. The company is also making its reasoning model, Gemini 2.0 Flash Thinking, available in the Gemini app.

In other advancements, LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles. The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process.

S Deep Research feature, which can autonomously browse the web and create research reports. ‘ + s up from hitting $50 million ARR, or the yearly value of last month s case for why they are the best positioned to take over TikTok And, in this episode, a16z Partner Marc Andrusko chats with Mastercard’s Chief AI and Data Officer Greg Ulrich about Mastercard’s long history of using AI, the opportunities (and potential risks) associated with integrating generative AI into fraud detection, determining what tech to employ based on use cases, and the best advice he’s ever gotten.

Then, power your AI transformation with an insightful keynote from Scott Guthrie, Executive Vice President, Cloud + AI Group at Microsoft, and other industry experts. Watch this keynote presentation from NYC stop on Microsoft’s AI Tour.

We close out with this insightful discussion with Malcolm Gladwell and Ric Lewis, SVP of Infrastructure at IBM. Learn how hardware capabilities enable the matrix math behind large language models and how AI is transforming industries—from banking to your local coffee shop.

Continue reading “Google Launches Gemini 2.0 Pro LLM” | >

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=OHWnPOKh_S0
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/cv8455-sb.
See below for guest bio, links, and to give feedback, submit questions, contact Lex, etc.

*GUEST BIO:*
Marc Andreessen is an entrepreneur, investor, co-creator of Mosaic, co-founder of Netscape, and co-founder of the venture capital firm Andreessen Horowitz.

*CONTACT LEX:*
*Feedback* — give feedback to Lex: https://lexfridman.com/survey.
*AMA* — submit questions, videos or call-in: https://lexfridman.com/ama.
*Hiring* — join our team: https://lexfridman.com/hiring.
*Other* — other ways to get in touch: https://lexfridman.com/contact.

*EPISODE LINKS:*

Continue reading “Who will win the AI race:

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=OHWnPOKh_S0
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/cv8455-sb.
See below for guest bio, links, and to give feedback, submit questions, contact Lex, etc.

*GUEST BIO:*
Marc Andreessen is an entrepreneur, investor, co-creator of Mosaic, co-founder of Netscape, and co-founder of the venture capital firm Andreessen Horowitz.

*CONTACT LEX:*
*Feedback* — give feedback to Lex: https://lexfridman.com/survey.
*AMA* — submit questions, videos or call-in: https://lexfridman.com/ama.
*Hiring* — join our team: https://lexfridman.com/hiring.
*Other* — other ways to get in touch: https://lexfridman.com/contact.

*EPISODE LINKS:* trillion dollar questions | Marc Andreessen and Lex Fridman” | >

#GigaBerlinArt #TechPainters #RoboticMuralist.
At Tesla’s Gigafactory Berlin-Brandenburg, creativity meets technology in a remarkable initiative to transform concrete surfaces into stunning artworks. Inspired by Elon Musk’s vision to turn the factory into a canvas, the project began with local graffiti crews. However, the sheer scale of the endeavor required innovative solutions, leading to the collaboration with a robotic muralist startup. This groundbreaking graffiti printer combines cutting-edge technology with artistry, using a triangulation method to maneuver its print head along factory walls. With 12 paint cans onboard, the robot sprays precise dots of color—10 million per wall and 300 million for the west side alone—creating intricate designs composed of five distinct colors. The curated artworks draw inspiration from Berlin’s vibrant culture, Tesla’s groundbreaking products, and the factory itself—described as “the machine that builds the machine.” A blend of global and in-house artistic talent has contributed to the ongoing project, making Giga Berlin not just a hub for innovation but also a celebration of art and ingenuity.

Courtesy: X:@Tesla.

#FactoryArt #BerlinCulture #GigaBerlinTransformation #MachineThatBuildsTheMachine.

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Continue reading “Tesla’s Graffiti Revolution | From Concrete To Art: Giga Berlin’s Unique Makeover” | >

In today’s AI news, OpenAI is announcing a new AI Agent designed to help people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research. It could also be useful for anyone making major purchases.

In what most would consider a halcyon time for AI, an anachronistic source has just added their two cents to the ethos around the AI revolution. The Vatican released a significant broadside addressing the potential and risks of AI in a new high-tech world. It’s a very interesting look at these new technologies, with a focus on human worth and human dignity.

In other advances, the one-person micro-enterprise is far from a novel concept. Cheap on-demand AI compute, remote collaboration, payment processing APIs, social media, and e-commerce marketplaces have all made it easier to “go it alone” as an entrepreneur. But what about scaling that business into something meatier — a one-person Unicorn.

And, this morning, Brussels announced plans to develop an open source AI model of its own, with $56 million in funding to do it. The investment will fund top researchers from a handful of companies and universities across EU countries as they develop a large language model that can work with the trading bloc’s 30 languages.

In videos, Lex Fridman speaks with Dylan Patel, Founder of SemiAnalysis, a semiconductor research and analysis company, and Nathan Lambert, a research scientist at Allen Institute for AI (Ai2) and author of an AI blog called Interconnects. They all discuss DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters.

Continue reading “OpenAI Unveils A New ChatGPT Agent For ‘Deep Research’ Analysis And Reporting” | >

Bloomberg on the Economic Singularity:

“If AI is about to get much cheaper, the path to an answer on its economic impact is going to get shorter. For workers nervously wondering if large language models will make their skills redundant, a lot is riding on which camp is right.”

For investors in artificial intelligence, the last week delivered a painful shock. The sudden appearance of DeepSeek — a Chinese AI firm boasting a world-class model developed at bargain-basement costs — triggered a massive selloff in Nvidia and other US tech champions.

What matters for the economy, though, is not the ups and downs of stock prices for the Magnificent Seven, but whether AI drives gains in productivity, and how those gains are divided up. For all the excitement, and the trillion-dollar valuations for AI firms, evidence of a boost to productivity remains thin on the ground.

Continue reading “AI Has Rocked the Stock Market, But What Will It Do for the Economy?” | >

Shoeb Javed is chief product officer at iGrafx.

Navigating the intricacies of compliance and risk management can seem overwhelming for businesses, especially those operating in heavily regulated industries. The rules are complex and the stakes are high, and the old ways of managing compliance aren’t enough anymore. By using smart tools and clear processes, businesses can handle tasks more efficiently, reduce risks and make audits less stressful.

Many organizations face a daunting array of compliance requirements, both external and internal. Regulatory demands vary across industries such as financial services, healthcare, manufacturing, retail and technology. Businesses may also have to contend with regulations that differ by country and even by region.

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On the positive side, some human entrepreneurs could become very wealthy, possibly trillionaires if they could tap into these AI’s wealth somehow. Additionally, super rich AIs could be a solution to the United States’ growing debt crisis, and eliminate the need for whether countries like China can continue to buy our debt so we can indefinitely print dollars. In fact, can America launch its own AI agents to create enough crypto wealth to buy its debt?

Naturally, the risk is that these AIs might eventually try to buy other financial instruments, like existing bonds and stocks. But it’s unlikely they’d be able to do so, unless more of the U.S.’ economy went into crypto and became blockchain based. Additionally, AI bots aren’t allowed to have traditional bank accounts yet.

Whatever happens, clearly there is an urgent need for the U.S. government to address such potentialities. Given that these AIs could start to proliferate in the next few months, I suggest Congress and the Trump administration immediately convene a special task force to specifically tackle the possibility of an AI Monetary Hegemony.

The real danger is that even with regulation, programmers will still be able to release autonomous AIs into the wild—just as many illegal things already happen on the web despite the existence of laws. Programmers might release these types of AIs for kicks, while others try to profit from it—and some may even do so even as a form of terrorism to try to hamper the world economy. Whatever the reason, the creation of autonomous AIs will soon be a reality of life. And vigilance and foresight will be needed as these new AIs start to autonomously disrupt our financial future.

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