đč Starshipâs efficiency could potentially make it highly profitable, âmaking tons of money like a Tesla.â
đš Starship IFT-10âs success has reignited bold ideas for a Starship Starport Global Network. Could Rocket Cargo really replace todayâs air and sea freight? đ
In this episode of @overthehorizon, Chris Smedley and Scott Walter join me for a deep dive on the Starport Network vision â offshore launch pads, mobile rigs, and eVTOL last-mile links â and ask if suborbital rocket cargo can outcompete aircraft and ships.
We explore đđœ đ How Starshipâs scale changes global logistics. đ Why rocket cargo could disrupt ports, airlines, and shipping. ⥠The ârocket time dilationâ effect that multiplies daily throughput. đł From oil rigs to Starports: how offshore hubs could reshape trade. đź First use-cases: military logistics, high-value freight, GCC & island tourism.
Starship Starports may be the end of hubs, choke points, and slow supply chains. But can they really replace air and sea?
New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI tools.
The study is published in the Proceedings of the National Academy of Sciences.
Led by Jake Russin, a postdoctoral research associate in computer science at Brown University, the study found by training an AI system that flexible and incremental learning modes interact similarly to working memory and long-term memory in humans.
Cybersecurity researchers have flagged a new technique that cybercriminals have adopted to bypass social media platform Xâs malvertising protections and propagate malicious links using its artificial intelligence (AI) assistant Grok.
The findings were highlighted by Nati Tal, head of Guardio Labs, in a series of posts on X. The technique has been codenamed Grokking.
The approach is designed to get around restrictions imposed by X in Promoted Ads that allow users to only include text, images, or videos, and subsequently amplify them to a broader audience, attracting hundreds of thousands of impressions through paid promotion.
WARNING: AI could end humanity, and weâre completely unprepared. Dr. Roman Yampolskiy reveals how AI will take 99% of jobs, why Sam Altman is ignoring safety, and how weâre heading toward global collapseâŠor even World War III.
Dr. Roman Yampolskiy is a leading voice in AI safety and a Professor of Computer Science and Engineering. He coined the term âAI safetyâ in 2010 and has published over 100 papers on the dangers of AI. He is also the author of books such as, âConsiderations on the AI Endgame: Ethics, Risks and Computational Frameworksâ
He explains: âŹHow AI could release a deadly virus. âŹWhy these 5 jobs might be the only ones left. âŹHow superintelligence will dominate humans. âŹWhy âsuperintelligenceâ could trigger a global collapse by 2027 âŹHow AI could be worse than nuclear weapons. âŹWhy weâre almost certainly living in a simulation.
00:00 Intro. 02:28 How to Stop AI From Killing Everyone. 04:35 Whatâs the Probability Something Goes Wrong? 04:57 How Long Have You Been Working on AI Safety? 08:15 What Is AI? 09:54 Prediction for 2027 11:38 What Jobs Will Actually Exist? 14:27 Can AI Really Take All Jobs? 18:49 What Happens When All Jobs Are Taken? 20:32 Is There a Good Argument Against AI Replacing Humans? 22:04 Prediction for 2030 23:58 What Happens by 2045? 25:37 Will We Just Find New Careers and Ways to Live? 28:51 Is Anything More Important Than AI Safety Right Now? 30:07 Canât We Just Unplug It? 31:32 Do We Just Go With It? 37:20 What Is Most Likely to Cause Human Extinction? 39:45 No One Knows Whatâs Going On Inside AI 41:30 Ads. 42:32 Thoughts on OpenAI and Sam Altman. 46:24 What Will the World Look Like in 2100? 46:56 What Can Be Done About the AI Doom Narrative? 53:55 Should People Be Protesting? 56:10 Are We Living in a Simulation? 1:01:45 How Certain Are You Weâre in a Simulation? 1:07:45 Can We Live Forever? 1:12:20 Bitcoin. 1:14:03 What Should I Do Differently After This Conversation? 1:15:07 Are You Religious? 1:17:11 Do These Conversations Make People Feel Good? 1:20:10 What Do Your Strongest Critics Say? 1:21:36 Closing Statements. 1:22:08 If You Had One Button, What Would You Pick? 1:23:36 Are We Moving Toward Mass Unemployment? 1:24:37 Most Important Characteristics.
In a major leap for artificial intelligence (AI) and photonics, researchers at the University of California, Los Angeles (UCLA) have created optical generative models capable of producing novel images using the physics of light instead of conventional electronic computation.
Published in Nature, the work presents a new paradigm for generative AI that could dramatically reduce energy use while enabling scalable, high-performance content creation.
Generative models, including diffusion models and large language models, form the backbone of todayâs AI revolution. These systems can create realistic images, videos, and human-like text, but their rapid growth comes at a steep cost: escalating power demands, large carbon footprints, and increasingly complex hardware requirements. Running such models requires massive computational infrastructure, raising concerns about their long-term sustainability.
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature range. The findings have been published in Physical Review Letters. The team was led by Prof. Pan Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. Li Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong Kong University of Science and Technology (HKUST).
