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Same old question: if an autonomous vehicle kills someone, who is liable?
In this video, we explore how the brain tags which memories to keep and the role of a special brain wave ? a hippocampal sharp-wave ripple in this process. Outline:00:00 Introduction01:11 Sharp-Wave Ripples04:38 Memory Consolidation6:36 Experimental Setup07:58 UMAP & Population Activity10:33 Maze Manifold12:02 Decoding Ripple Content13:57 Putting it together15:42 Brilliant.org16:56 Outro
Quote from: alancalverd on 13/01/2025 10:22:04Same old question: if an autonomous vehicle kills someone, who is liable?It depends on several factors.
from: alancalverd on 13/01/2025 10:22:04Same old question: if an autonomous vehicle kills someone, who is liable?
Quote from: hamdani yusuf on 14/01/2025 09:09:32Quote from: alancalverd on 13/01/2025 10:22:04Same old question: if an autonomous vehicle kills someone, who is liable?It depends on several factors.So autonomous vehicles are good news for lawyers, but not for anyone inside or outside the vehicle.
DeepSeek Just released their first reasoning model called Deepseek-R1 that is on par with Openai O1 reasoning model. We will have a quick look at the release in this video.
DeepSeek R1 is probably the best open weight reasoning model to date. I tested it on coding and reasoning tasks. The performance is pretty impressive.
Google DeepMind is building a groundbreaking AI system capable of simulating the entire physical world to advance toward Artificial General Intelligence (AGI). By combining multimodal data like video, audio, and robotics, this world simulation AI aims to replicate real-world physics for applications in robotics, gaming, and scientific research. This ambitious project highlights Google's focus on scaling AI models to achieve unprecedented levels of intelligence and realism.Key Topics: Google?s groundbreaking AI initiative to simulate the physical world for AGI development The integration of multimodal data like video, audio, and robotics in world simulation Real-world applications of AI-driven simulations in robotics, gaming, and scientific research What You?ll Learn: How Google?s AI is paving the way to Artificial General Intelligence through world modeling The transformative potential of AI simulations in training robots and creating realistic environments Why these advancements represent a critical leap in technology and intelligence Why It Matters: This video explores the revolutionary concept of world simulation AI, delving into its potential to reshape industries, advance technology, and bring us closer to achieving true AGI.
Nvidia has done it again! The groundbreaking release of NVLM 1.0 is sending shockwaves through the tech world. But what exactly makes this new technology so revolutionary? In this video, we?ll explore why NVLM 1.0 is set to change the game for AI, machine learning, and the entire tech industry.From its unparalleled processing power to its cutting-edge AI capabilities, NVLM 1.0 is designed to push the boundaries of what's possible. We?ll break down the key features that make it a must-have for developers, researchers, and tech enthusiasts alike.Find out how Nvidia?s latest innovation is redefining efficiency, speed, and scalability in ways the industry has never seen before. Whether you?re into AI development, high-performance computing, or future-forward tech, this is one release you can?t afford to ignore.What makes NVLM 1.0 stand out? How will it transform industries beyond AI? Can Nvidia maintain its lead in the ever-competitive tech space? Watch now to find out why everyone is talking about Nvidia?s newest game-changer!
Stargate is a $500 billion AI infrastructure project launched by Donald Trump, OpenAI, SoftBank, and Oracle to build the largest AI data centers and supercomputers in the world. Designed to strengthen America's leadership in artificial intelligence, it aims to outpace China and revolutionize industries like healthcare, finance, and robotics. This ambitious initiative promises massive job creation, advanced AI technology, and a transformative impact on the global tech landscape.Key Topics: Stargate, the $500 billion AI infrastructure project backed by Trump, OpenAI, and SoftBank The construction of massive data centers and supercomputers to power advanced AI technologies How Stargate aims to outpace China in AI development and revolutionize industries like healthcare and robotics What You?ll Learn: Why Stargate is the most ambitious AI project in history and what it means for the future How this initiative is set to transform industries and create cutting-edge AI capabilities The role of companies like Oracle, Nvidia, and Microsoft in shaping the AI landscape Why It Matters: This video uncovers the groundbreaking Stargate project, exploring its potential to redefine global AI leadership, drive innovation, and secure America?s dominance in the rapidly evolving tech world.
Google TITANS and Sakana Transformer?. AI gets memory and can keep learning after training. #ai #ainews #agi Titans: Learning to Memorize at Test Time https://arxiv.org/abs/2501.00663Sakana Transformer? https://sakana.ai/transformer-squared/0:00 Intro0:34 Google Titans architecture1:44 Transformers model and limitations5:14 Giving AI memory6:35 AI training vs test time8:57 Titans long term memory12:59 Titans architecture19:50 Pros and cons24:00 Performance of Titans models vs Transformers27:31 Sakana Transformer230:50 Model design and rationale32:24 How Transformer2 works36:00 Transformer2 performance38:12 Conclusion
DeepSeek = a big slap in the face of ClosedAI and co.
For non-tech folks, it?s US vs China. For techies, it?s open source vs closed systems. Two different worlds
USA: "I love capitalism and the Free Market"China: "ok"USA: "Wait no not like that"
I interviewed NVIDIA CEO Jensen Huang on January 7th, 2025. In the last few years, NVIDIA has skyrocketed to become one of the world's most valuable companies. That's because, beginning in the 90s, they led a fundamental shift in how computers work, now unleashing the current explosion of what?s possible with technology.A huge amount of the most futuristic tech you?re hearing about - in AI, robotics, gaming, self-driving cars, breakthrough medical research - relies on new chips and software designed by him and his company.During the dozens of background interviews I did to prepare for this, what struck me most was how much Jensen Huang has already influenced all our lives over the last 30 years, and how many are saying it?s just the beginning of something even bigger?We all need to know what he?s building and why, and most importantly, what he?s trying to build next, so you can decide for yourself what you think of it. Chapters: 0:00 What is Jensen Huang trying to build?1:40 The goal of this Huge Conversation3:40 How did we get here?4:25 What is a GPU?5:45 Why video games first?7:59 What is CUDA?11:04 Why was AlexNet such a big deal?15:40 Why are we hearing about AI so much now?19:33 What are NVIDIA?s core beliefs?21:34 Why does this moment feel so different?24:08 What?s the future of robots?30:15 What is Jensen?s 10-year vision?32:00 What are the biggest concerns?35:14 What are the biggest limitations?38:05 How does NVIDIA make big bets on specific chips (transformers)?42:33 How are chips made?44:19 What?s Jensen?s next bet?47:20 How should people prepare for this future?50:12 How does this affect people?s jobs?52:37 GeForce RTX 50 Series and NVIDIA DGX55:50 What?s Jensen?s advice for the future?59:07 How does Jensen want to be remembered?
DeepSeek has released Janus Pro, a groundbreaking multimodal AI model that challenges industry giants like OpenAI and Nvidia with its efficiency and open-source accessibility. Janus Pro delivers strong performance in image generation and analysis, while its development cost of under six million dollars raises questions about the high spending of Silicon Valley AI labs. This disruptive innovation has sparked global interest, impacted tech markets, and highlighted DeepSeek as a serious contender in the AI race.Key Topics: DeepSeek?s Janus Pro AI model that challenges OpenAI?s DALL-E 3 and GPT-4 How Janus Pro outperforms big tech models on benchmarks like GenEval and DPG-Bench The innovative unified transformer architecture enabling multimodal tasks and open-source access What You?ll Learn: Why Janus Pro is a game-changer in efficient AI development and multimodal capabilities How DeepSeek achieved GPT-4-like results at a fraction of the cost The broader implications of Janus Pro for AI innovation, market dynamics, and global competition Why It Matters: This video highlights the disruptive innovations of DeepSeek?s Janus Pro, showcasing its ability to outperform leading AI models while revolutionizing efficiency, accessibility, and the future of multimodal AI systems.
The world is going crazy about deep seek. Here is what you actually need to know about this as a consumer and what I think matters even more.Chapters:0:00 DeepSeek Moment2:06 What's Happening5:08 What You Need To Know11:24 Why US Companies Are Scared16:12 DeepSeek vs o118:50 What's Next!
Deep Seek will not answer any question that might prove critical of the Chinese government. So why would anyone believe the output of any other AI system?
You can install your own local ChatGPT on Windows for FREE that functions really well even on mediocre hardware. In this video, I show you exactly how to install Ollama, Docker Desktop, and Open-WebUI so that you can start playing with all sorts of new and exciting large language models (LLMs) such as Deepseek R1, Llama 3.2/3.3, and Gemma - and it only takes about 10-15 minutes to get started!Full blog post with written instructions here: https://www.crosstalksolutions.com/run-your-own-chatgpt-locally-for-free/CHAPTERS:00:00 - Intro01:03 - Hardware Requirements02:07 - Project Components02:44 - Enable WSL 204:01 - Install OLLAMA04:45 - Install Docker Desktop06:05 - Install OpenWebUI09:34 - Download Models13:02 - DeepSeek R117:38 - Uncensored Models18:15 - Outro
Keep in mind that UNLESS you're using one of the very large parameter models, that the output is often wrong (hallucinations!) . Deepseek-r1 (8 Billion parameter), listed "Kamloops Bob" (whoever that is), as the 4th Prime Minister of Canada. It told me that there were two r's in strawberry, and only corrected itself (with a lot of apologizing) after I pointed that out. It also told me that Peter Piper picked 42 pecks of pickled peppers, because that's the answer according to the Hitchhiker's guide (42 is the universal answer to everything...LOL). Unless you have the space and hardware to install one of the very large models, I wouldn't take any of the outputted results as being accurate (without cross checking). It's fun (hilarious, in fact) to play with, but take the results with a LARGE grain of salt.
btw only the 671B deepseek one is the real deal, the other one are just distilled model of Llama/Qwen (distilled using R1 output, so still improved from original)8 billion may be too littleI think some data show 14B seems to be the sweet spot (i think it is distilled R1 14B or sth like that), result not too far off compare to 32B on paper32B Distilled R1 Qwen2.5 beat out 70B Distilled R1 Llama
Microsoft Just Built The World?s First AI to Build Materials for the Future!Microsoft has just made history by developing the world?s first AI designed to create next-generation materials! This revolutionary breakthrough could transform industries, from energy and medicine to space exploration and advanced computing. But how does it work, and why is this such a massive leap for AI and science?In this video, we explore how Microsoft?s AI-driven material discovery is accelerating innovation by designing materials stronger, lighter, and more efficient than ever before. This technology has the potential to revolutionize manufacturing, clean energy, and even quantum computing by unlocking materials that were previously impossible to create.With AI leading the charge in material science, are we entering a new era of super materials? Could this be the key to long-lasting batteries, ultra-efficient solar panels, and even futuristic spacecraft? Microsoft?s bold move is reshaping the future?and its impact will be felt across the world.How does Microsoft?s AI for material science work? What industries will benefit the most? Is this the future of technology, innovation, and scientific discovery? Watch now to find out!
A new AI revolution is here?JANUS PRO has just shattered expectations and outperformed OpenAI, Google, and Microsoft in ways no one saw coming! This game-changing AI model is setting new benchmarks in speed, reasoning, and multimodal intelligence, leaving industry giants scrambling to keep up. But what makes JANUS PRO so powerful?In this video, we break down how JANUS PRO works, why it?s so advanced, and what this means for the future of artificial intelligence. With unmatched efficiency, real-time adaptability, and breakthrough deep-learning capabilities, this AI is making waves across multiple industries. Could JANUS PRO be the beginning of the end for OpenAI?s dominance?What makes JANUS PRO different from GPT-4, Gemini, and Microsoft?s AI models? Will this AI redefine the future of technology? And most importantly, is this the next true AGI breakthrough we?ve been waiting for?Is JANUS PRO the most powerful AI ever built? Will OpenAI, Google, and Microsoft recover from this AI defeat? Could this be the next big leap toward artificial general intelligence? Watch now to find out!