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Best Futuristic AI Devices That Will Change The World

Best Futuristic AI Devices That Will Change The World
In this episode, we will explore the fascinating world of AI-powered tech hardware, which are devices that are designed around artificial intelligence rather than computing power. We will look at some of the examples of these devices, such as Meta’s Ray-Ban smart glasses, Humane’s AI pin, and OpenAI’s possible AI product. We will also discuss the potential impact of these devices on the tech industry and the society, and whether they can replicate the success of the iPhone. Finally, we will analyze the challenges and risks that these devices face in terms of development and adoption. Join us as we dive into the future of AI interaction with AI-powered tech hardware. . Watch Also: QuantumScape VS Tesla https://youtu.be/3YSs-UNWNzA How Are Tesla Batteries Are Made? https://youtu.be/-jcLfzkxW4s How Covid-19 Is Impacting Technology? https://youtu.be/PLkaMhjnq-Y Advanced Thrusters - History, Design, Working Principle & Applications https://youtu.be/ydS5DpQKD7o The Quantum Battery That NEVER Runs Out https://youtu.be/uIik4FWNbuU Green Hydrogen - The Future Clean Source Of Energy - Part 1 https://youtu.be/OKWBM30d05E How does Tesla Autopilot work? https://youtu.be/nBi7t0tDo6Q Top 10 Most Intelligent People On The Planet https://youtu.be/E-Msq5hZy8Y . #TechWiki #Wiki #Technology #Automation #ArtificialIntelligence #Future #Viral #TREND#AI #tech #hardware #smartglasses #AIpin #OpenAI #Meta #Humane #RayBan #interaction #voice #gesture #brain #future #innovation #iPhone #success #challenge #risk #development #adoption #industry #society #guide #review #analysis #exploration #episode #YouTube #video

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AI, Synthetic Intelligence -

StreamingLLM - Extend Llama2 to 4 million token & 22x faster inference?

StreamingLLM - Extend Llama2 to 4 million token & 22x faster inference?
It's hard to get LLM generate big amount of content and take in large inputs; To solve this, introducing StreamingLLM, Extend Llama-2 & Falcon's up to 4 million tokens; 22x faster inference than your standard LLM ⚡️ Now you can even generate the whole book with LLM! 🔗 Links - Follow me on twitter: https://twitter.com/jasonzhou1993 - Join my AI email list: https://www.ai-jason.com/ - My discord: https://discord.gg/eZXprSaCDE - StreamingLLM Github: https://github.com/mit-han-lab/streaming-llm 👋🏻 About Me My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com #llama2 #meta #gpt #autogpt #ai #artificialintelligence #tutorial #stepbystep #openai #llm #largelanguagemodels #largelanguagemodel #chatgpt #gpt4 #machinelearning

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Google’s AI: This Should Be Impossible!

Google’s AI: This Should Be Impossible!
❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.me/papers 📝 The paper "RealFill - Reference-Driven Generation for Authentic Image Completion " is available here: https://realfill.github.io/ Unofficial implementation: https://github.com/thuanz123/realfill My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://www.nature.com/articles/s41567-022-01788-5 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bret Brizzee, Bryan Learn, B Shang, Christian Ahlin, Gaston Ingaramo, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Kenneth Davis, Klaus Busse, Kyle Davis, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's research works: https://cg.tuwien.ac.at/~zsolnai/

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AI, Synthetic Intelligence -

Not Slowing Down: GAIA-1 to GPT Vision Tips, Nvidia B100 to Bard vs LLaVA

Not Slowing Down: GAIA-1 to GPT Vision Tips, Nvidia B100 to Bard vs LLaVA
From GAIA-1 and UniSim showing that new worlds can be imagined with synthetic data, to Nvidia B100 and X100 suggesting no slow down in compute, this video will argue that AI is not slowing down. I’ll cover what that means in Robotics, Audio, Vision and even fraud, from Disney to LLaVA, Elevenlabs to exclusives from The Information (Nov 6 OpenAI Developer Conference) and Semianalysis. https://www.patreon.com/AIExplained GAIA-1 9B: https://wayve.ai/thinking/scaling-gaia-1/ GAIA 1 Paper: https://arxiv.org/abs/2309.17080 Semianalysis Tesla: https://www.semianalysis.com/p/tesla-ai-capacity-expansion-h100 and B100 plus X100: https://www.semianalysis.com/p/nvidias-plans-to-crush-competition UniSim: https://universal-simulator.github.io/unisim/?s=09 Tesla Optimus: https://www.youtube.com/watch?v=D2vj0WcvH5c Disney Bot: https://www.theverge.com/2023/10/10/23911040/disney-imagineering-robot-bipedal-balance-free-walking-concept Levatas ChatGPT robodog: https://twitter.com/svpino/status/1650832349008125952?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1650832349008125952%7Ctwgr%5Ea9dcf33fe398752911e6868838cdef45850dd2e1%7Ctwcon%5Es1_&ref_url=https%3A%2F%2Fwww.fastcompany.com%2F90889271%2Fboston-dynamics-spot-chatgpt-brains Somatic Cleaner: https://www.youtube.com/watch?v=xY5zqKRy8A8&t=38s The Information Report: https://www.theinformation.com/articles/openais-revenue-crossed-1-3-billion-annualized-rate-ceo-tells-staff?utm_source=ti_app&rc=sy0ihq Reuters Report: https://www.reuters.com/technology/openai-plans-major-updates-lure-developers-with-lower-costs-sources-2023-10-11/#:~:text=This%20could%20theoretically%20slash%20costs,developing%20and%20selling%20AI%20software. Starmer Audio (fake): https://www.wired.co.uk/article/keir-starmer-deepfake-audio Deepfake Arrests: https://www.cnbc.com/2023/10/10/generative-ai-will-get-a-cold-shower-in-2024-analysts-predict.html LLaVA Demo: https://llava.hliu.cc/ LLaVA Paper: https://arxiv.org/pdf/2310.03744.pdf Bard: https://bard.google.com/chat GPT4V Recursive Loop: https://twitter.com/conradgodfrey/status/1712564282167300226 https://www.patreon.com/AIExplained

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Systems Thinking Ep. 5 - Narratives and Metamodernism (Modern Philosophy)

Systems Thinking Ep. 5 - Narratives and Metamodernism (Modern Philosophy)
In this in-depth video, the topic of narratives is explored comprehensively. Narratives are defined as the stories we use to make sense of the world. Different types of narratives are explained, including mythic, religious, cautionary tales, cultural memory, values, political commentary, and scientific narratives. The importance of narratives in human cognition, evolution, and coordinating complex societies is analyzed. The video then dives deep into metamodernism - characterized by the systematic deconstruction and reconstruction of narratives in light of globalism and the internet. The goal of metamodernism is described as alleviating cognitive dissonance by advancing nuanced narratives and moving to an emergent model of reality. Key metamodernist concepts covered include: - Epistemic tribes - The emergence model of reality with ontological strata - Bringing narratives from unconscious to conscious - Hypernarratives The video concludes by examining current narratives like anti-communism, neoliberalism, AI extinction risk, and the metacrisis through a metamodern lens.

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