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The company has been negotiating with both the Austin city authorities and the city’s autonomous vehicle working group since May 2024 regarding the introduction of the Robotaxi service safely. Set for release in June 2025, this fully self-driving fleet is a backup plan to the journey that Tesla is eager to accomplish of manufacturing electric and self-driving vehicles that can revolutionize city transportation.

During the Q4 2024 earnings conference call on January 29, Elon Musk announced the plan for the Robotaxi rollout in Austin. At the end of the interview, Musk further said, “We feel confident in being able to do an initial launch of unsupervised, no one in the car, full self-driving in Austin in June.” He noted that the process would be progressive to avoid risks that are associated with accidents and legal issues.

The future is autonomous & it starts in Austin, this June.

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Artificial Intelligence is evolving rapidly, bringing us closer to the Singularity—a future where AI surpasses human intelligence. This shift could transform every aspect of life, from jobs to technology, creating both exciting possibilities and significant risks. As AI continues to advance at an unprecedented pace, understanding its impact on society is more crucial than ever.

🔍 Key Topics Covered:
The rapid evolution of AI and its connection to the looming Singularity, where machines may surpass human intelligence.
How AI could reshape industries, jobs, and even human life as we know it.
The potential risks of uncontrolled AI growth, including the rise of misinformation, biased outcomes, and the threat of AI-designed chemical weapons.
The need for a global governance framework to regulate and monitor AI advancements.
The ethical and philosophical questions surrounding AI’s role in society, including its impact on human consciousness and labor.

🎥 What You’ll Learn:
The rapid advancement of artificial intelligence and its potential to reach the Singularity sooner than expected.
How AI systems like neural networks and symbolic systems impact modern technology and the dangers they pose when left unchecked.
The role AI could play in jobs, governance, and the potential for global cooperation to ensure safe AI development.
Insight into real-world concerns such as disinformation, biased AI systems, and even the possibility of AI leading to catastrophic societal changes.

📊 Why This Matters:
These developments highlight the critical need for responsible AI governance as the technology progresses toward potentially surpassing human intelligence. Understanding the rapid growth of AI and its implications helps us prepare for the future, where machines could fundamentally change society. Whether you’re interested in technology, philosophy, or the future of work, this content offers an in-depth look at the powerful impact AI will have on the world.

*DISCLAIMER*:
The content presented is for informational and entertainment purposes, offering insights into the future of AI based on current trends and technological research. The creators are not AI experts or legal professionals, and the information should not be taken as professional advice. Viewer discretion is advised due to the speculative nature of the topics discussed. The views expressed are those of the content creator and do not necessarily represent any affiliated individuals or organizations.

#ai.

Continue reading “AI Is Evolving FASTER Than Ever The SINGULARITY Is Close!” | >

This compares some of the ringworlds, centrifuges, space stations, and ships that use spin to make gravity. It also try’s to show how the variables of artificial gravity are used to make centripetal acceleration into spin gravity.

Calculator used: https://www.artificial-gravity.com/sw/SpinCalc/

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REFERENCES
1. Hill, Paul R.; Schnitzer, Emanuel (1962 September). “Rotating Manned Space Stations.” In, Astronautics (vol. 7, no. 9, p. 14
18). Reston, Virginia, USA: American Rocket Society / American Institute of Aeronautics and Astronautics.
2. Gilruth, Robert R. (1969). “Manned Space Stations – Gateway to our Future in Space.” In S. F. Singer (Ed.), Manned.
Laboratories in Space (p. 1–10). Berlin, Germany: Springer-Verlag.
3. Gordon, Theodore J.; Gervais, Robert L. (1969). “Critical Engineering Problems of Space Stations.” In S. F. Singer (Ed.).
Manned Laboratories in Space (p. 11–32). Berlin, Germany: Springer-Verlag.
4. Stone, Ralph W. (1973). “An Overview of Artificial Gravity.” In A. Graybiel (Ed.), Fifth Symposium on the Role of the.
Vestibular Organs in Space Exploration (NASA SP-314, p. 23–33). Pensacola, Florida, USA, 19–21 August 1970.
Washington, DC, USA: NASA
5. Cramer, D. Bryant (1985). “Physiological Considerations of Artificial Gravity.” In A. C. Cron (Ed.), Applications of Tethers in.
Space (NASA CP-2364, vol. 1, p. 3·95–3·107). Williamsburg, Virginia, USA, 15–17 June 1983. Washington, DC, USA:
NASA.
6. Graybiel, Ashton (1977). “Some Physiological Effects of Alternation Between Zero Gravity and One Gravity.” In J. Grey (Ed.).
Space Manufacturing Facilities (Space Colonies): Proceedings of the Princeton / AIAA / NASA Conference, May 7–9, 1975
7. Hall, Theodore W. “Artificial Gravity in Theory and Practice.” International Conference on Environmental Systems, 2016, www.artificial-gravity.com/ICES-2016–194.pdf.

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SOCIAL
Twitter: https://twitter.com/OverviewEfect.
Instagram: https://www.instagram.com/overviewefects/
Facebook: https://www.facebook.com/profile.php?id=61552024642764

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ATTRIBUTION
Mass Effect music from @MrHulthen Check it out and his channel here: https://www.youtube.com/watch?v=57-xIuu4Vv.
“Citadel (Mass Effect)” (https://skfb.ly/6CLEX) by Yanez Designs is licensed under Creative Commons Attribution.
“Babylon 5 Station (Babylon 5)” (https://skfb.ly/6pFJp) by uperesito is licensed under Creative Commons Attribution.
“Halo Ring” (https://skfb.ly/orU8C) by Inditrion Dradnon is licensed under Creative Commons Attribution.
“Empire State Building” (https://skfb.ly/BGwU) by Microsoft is licensed under Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/).
“MCRN Tachi [Expanse TV Show]” (https://skfb.ly/o6JGy) by Jakub. Vildomec is licensed under Creative Commons Attribution.
“endurance spaceship” (https://skfb.ly/6TnFK) by devanshujha is licensed under Creative Commons Attribution.
“Discovery 1″ (https://skfb.ly/6oRCD) by uperesito is licensed under Creative Commons Attribution.
“Soviet Nuclear Computer Terminal” (https://skfb.ly/prtFw) by PIPO is licensed under Creative Commons Attribution.
“Hail Mary Ship” by MallocArray https://www.printables.com/model/232479-hail-mary-ship/files.
“Death Star — Star Wars” (https://skfb.ly/oqGZX) by Quiznos323.

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Continue reading “Spin Gravity Compared” | >

Convergent engagement of neural and computational sciences and technologies are reciprocally enabling rapid developments in current and near-future military and intelligence operations. In this podcast, Prof. James Giordano of Georgetown University will provide an overview of how these scientific and technological fields can be — and are being — leveraged for non-kinetic and kinetic what has become known as cognitive warfare; and will describe key issues in this rapidly evolving operational domain.

James Giordano PhD, is the Pellegrino Center Professor in the Departments of Neurology and Biochemistry; Chief of the Neuroethics Studies Program; Co-director of the Project in Brain Sciences and Global Health Law and Policy; and Chair of the Subprogram in Military Medical Ethics at Georgetown University Medical Center, Washington DC. Professor Giordano is Senior Bioethicist of the Defense Medical Ethics Center, and Adjunct Professor of Psychiatry at the Uniformed Services University of Health Sciences; Distinguished Stockdale Fellow in Science, Technology, and Ethics at the United States Naval Academy; Senior Science Advisory Fellow of the SMA Branch, Joint Staff, Pentagon; Non-resident Fellow of the Simon Center for the Military Ethic at the US Military Academy, West Point; Distinguished Visiting Professor of Biomedical Sciences, Health Promotions, and Ethics at the Coburg University of Applied Sciences, Coburg, GER; Chair Emeritus of the Neuroethics Project of the IEEE Brain Initiative; and serves as Director of the Institute for Biodefense Research, a federally funded Washington DC think tank dedicated to addressing emerging issues at the intersection of science, technology and national defense. He previously served as Donovan Group Senior Fellow, US Special Operations Command; member of the Neuroethics, Legal, and Social Issues Advisory Panel of the Defense Advanced Research Projects Agency (DARPA); and Task Leader of the Working Group on Dual-Use of the EU-Human Brain Project. Prof. Giordano is the author of over 350 peer-reviewed publications, 9 books and 50governmental reports on science, technology, and biosecurity, and is an elected member of the European Academy of Science and Arts, a Fellow of the Royal Society of Medicine (UK), and a Fulbright Professorial Fellow. A former US Naval officer, he was winged as an aerospace physiologist, and served with the US Navy and Marine Corps.

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Originally released December 2023._ In today’s episode, host Luisa Rodriguez speaks to Nita Farahany — professor of law and philosophy at Duke Law School — about applications of cutting-edge neurotechnology.

They cover:
• How close we are to actual mind reading.
• How hacking neural interfaces could cure depression.
• How companies might use neural data in the workplace — like tracking how productive you are, or using your emotional states against you in negotiations.
• How close we are to being able to unlock our phones by singing a song in our heads.
• How neurodata has been used for interrogations, and even criminal prosecutions.
• The possibility of linking brains to the point where you could experience exactly the same thing as another person.
• Military applications of this tech, including the possibility of one soldier controlling swarms of drones with their mind.
• And plenty more.

In this episode:
• Luisa’s intro [00:00:00]
• Applications of new neurotechnology and security and surveillance [00:04:25]
• Controlling swarms of drones [00:12:34]
• Brain-to-brain communication [00:20:18]
• Identifying targets subconsciously [00:33:08]
• Neuroweapons [00:37:11]
• Neurodata and mental privacy [00:44:53]
• Neurodata in criminal cases [00:58:30]
• Effects in the workplace [01:05:45]
• Rapid advances [01:18:03]
• Regulation and cognitive rights [01:24:04]
• Brain-computer interfaces and cognitive enhancement [01:26:24]
• The risks of getting really deep into someone’s brain [01:41:52]
• Best-case and worst-case scenarios [01:49:00]
• Current work in this space [01:51:03]
• Watching kids grow up [01:57:03]

The 80,000 Hours Podcast features unusually in-depth conversations about the world’s most pressing problems and what you can do to solve them.

Learn more, read the summary and find the full transcript on the 80,000 Hours website:

Nita Farahany on the neurotechnology already being used to convict criminals and manipulate workers

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Interconnected materials containing networks are ubiquitous in the world around us— rubber, car tires, human and engineered tissues, woven sheets and chain mail armor. Engineers often want these networks to be as strong as possible and to resist mechanical fracture and failure.

The key property that determines the strength of a network is its intrinsic fracture energy, the lowest energy required to propagate a crack through a unit area of the surface, with the bulk of the network falling apart. As examples, the intrinsic fracture energy of polymer networks is about 10 to 100 joules per square meter, 50–500 J/m2 for elastomers used in car tires, while spider silk has an intrinsic fracture energy of 150–200 J/m2.

Until now, there has been no way to calculate the intrinsic fracture energy (IFE) for a networked material, given the mechanical behavior and connectivity of its constituents.

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Sponsored by World of Warships! Follow this link https://wo.ws/40Q4JZz and use the code IMPACTFORCE to get a cool starter pack! For new players only.

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DELTA-V Calculators: https://www.overvieweffekt.com/tools/brachistochrone-rocket-calculator.

Thanks to ⁠ for the Mass Effect music. Check it out and his channel here:
https://www.youtube.com/watch?v=57-xIuu4Vvw.

REFERENCES
https://www.projectrho.com/public_html/rocket/enginelist3.ph…ein_Drive_)
https://www.projectrho.com/public_html/rocket/torchships.php#brachistochrone.

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ATTRIBUTION
“SpaceX Starship Ship 24 & Booster 7 V4” (https://skfb.ly/oD9TL) by Clarence365 is licensed under Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/).
“MCRN Tachi \[Expanse TV Show]” (https://skfb.ly/o6JGy) by Jakub. Vildomec is licensed under Creative Commons Attribution.
“Saturn” (https://skfb.ly/orVqA) by NestaEric is licensed under Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/).
“MCRN Donnager (The Expanse)” (https://skfb.ly/6XU7L) by Chris Kun.
“Epstein’s Yacht (The Expanse)” (https://skfb.ly/6XTu7) by Chris Kun.

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Continue reading “The Speed of Constant-Thrust Space Travel” | >

In this episode, Peter answers the hardest questions about AI, Longevity, and our future at an event in El Salvador (Padres y Hijos).

Recorded on February 2025
Views are my own thoughts; not Financial, Medical, or Legal Advice.

Chapters.

00:00 — Navigating Confusion in Leadership and Purpose.
02:00 — The Evolution of Work and Purpose.
03:50 — AI’s Role in Information Credibility.
07:17 — Sustainability and Technology’s Impact on Nature.
09:26 — Building a Future with AI and Longevity.
11:40 — The Economics of Longevity and Accessibility.
15:15 — Reimagining Education for the Future.
19:23 — Overcoming Human Obstacles to Progress.

I send weekly emails with the latest insights and trends on today’s and tomorrow’s exponential technologies. Stay ahead of the curve, and sign up now: https://www.diamandis.com/subscribe.

Connect with Peter:

Continue reading “Our Lives after the AI Revolution — Answering the Hard Questions | EP #155” | >

In today’s AI news, OpenAI and Google are pushing the US government to allow their AI models to train on copyrighted material. Both companies outlined their stances in proposals published this week, with OpenAI arguing that applying fair use protections to AI “is a matter of national security.” The proposals come in response to a request from the White House, which asked for input on Trump’s AI Action Plan.

In other advancements, one of the bigger players in automation has scooped up a startup in the space in hopes of taking a bigger piece of that market. UiPath, as part of a quarterly result report last night that spelled tougher times ahead, also delivered what it hopes might prove a silver lining. It said it had acquired, a startup founded originally in Manchester, England.

S most advanced features are now available to free users. You And, the restrictive and inconsistent licensing of so-called ‘open’ AI models is creating significant uncertainty, particularly for commercial adoption, Nick Vidal, head of community at the Open Source Initiative, told TechCrunch. While these models are marketed as open, the actual terms impose various legal and practical hurdles that deter businesses from integrating them into their products or services.

S Kate Rooney sits down with Garry Tan, Y Combination president and CEO, at the accelerator On Inside the Code, Ankit Kumar, Sesame, and Anjney Midha, a16z on the Future of Voice AI. What goes into building a truly natural-sounding AI voice? Sesame’s cofounder and CTO, Ankit Kumar, joins a16z’s Anjney Midha for a deep dive into the research and engineering behind their voice technology.

Then, Nate B. Jones explains how AI is making intelligence cheaper, but software strategies built on user lock-in are failing. Historically, SaaS companies relied on retaining users by making it difficult to switch. However, as AI lowers the cost of building and refactoring, users move between tools more freely. The real challenge now is data interoperability—data remains siloed, making AI-generated content and workflows hard to integrate.

We close out with, AI is getting expensive…but it doesn’t have to be. NetworkChuck found a way to access all the major AI models– ChatGPT, Claude, Gemini, even Grok – without paying for multiple expensive subscriptions. Not only does he get unlimited access to the newest models, but he also has better security, more privacy, and a ton of features… this might be the best way to use AI.

Thats all for today, but AI is moving fast — subscribe and follow for more Neural News.

Continue reading “Eurocell transforms inventory management process by deploying Peak’s AI capabilities” | >

In today’s AI news, ChatGPT just added 100 million users in two months, the fastest cohort adoption in two years, they said. As a result, we have increased our forecast for AI adoption in both consumer and enterprise, they added. OpenAI didn’t respond to a request for comment about what’s been driving this growth spurt. The Barclays analysts studying their growth suggested several reasons, though.

And, tech companies have been betting on virtual assistants for more than a decade, to little avail. But this new generation of AI was going to change things. But, the tech still doesn’t work. Chatbots may be fun to talk to and an occasionally useful replacement for Google, but truly game-changing virtual assistants are nowhere close to ready. And without them, the gadget revolution we were promised has utterly failed to materialize.

Meanwhile, AI company Sesame has released the base model that powers Maya, the impressively realistic voice assistant. The model, which is 1 billion parameters in size (“parameters” referring to individual components of the model), is under an Apache 2.0 license, meaning it can be used commercially with few restrictions. Called CSM-1B, the model generates “RVQ audio codes” from text and audio inputs.

S official forum, after producing approximately 750 to 800 lines of code, the AI assistant halted work and delivered a refusal message: “I cannot generate code for you, as that would be completing your work.” ‘ + In videos, can mislabeled dog paws ruin an AI model? IBM Fellow, Martin Keen explains how ground truth data ensures accurate AI predictions by powering supervised learning and training. Explore challenges like ambiguity and skewed data, and learn strategies to improve data labeling for better AI performance.

And, Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances rapid product development with earning trust from law firms through hyper-personalized demos and deep industry expertise. He covers Harvey’s approach to product development—expanding specialized capabilities then collapsing them …

In further experimentation, Alex Ziskind compared running DeepSeek locally — various model sizes and quantizations on Apple Silicon M1, M2, M3, M4 Max MacBooks. Alex puts them all to the test and explains all the steps.

We close out with, Eric Simons is the founder and CEO of StackBlitz, the company behind Bolt—the #1 web-based AI coding agent and one of the fastest-growing products in history. After nearly shutting down, StackBlitz launched Bolt on Twitter and exploded from zero to $40 million ARR and 1 million monthly active users in about five months.

Continue reading “Why OpenAI’s Sam Altman Is Smiling: ChatGPT Has Kicked Into A Higher Gear” | >