Scale AI (规模人工智能)
Was ist Scale AI (规模人工智能)?
Scale AI (规模人工智能) 是一个可信赖的平台，为包括自动驾驶汽车、地图、增强现实/虚拟现实、机器人等在内的人工智能应用提供高质量的训练数据。
Wie benutzt man Scale AI (规模人工智能)?
要使用 Scale AI (规模人工智能)，公司可以访问他们的平台并上传数据，然后由他们的专家团队进行标记和注释。该平台提供用户友好的界面来简化数据标注过程。
Scale AI (规模人工智能)'s Hauptmerkmale
Scale AI (规模人工智能)的核心功能包括高质量的训练数据、经验丰富的专家团队进行数据标记和注释、用户友好的平台界面以及可扩展性，以满足各种人工智能应用的需求。
Scale AI (规模人工智能)'s Anwendungsfälle
自动驾驶汽车
地图
增强现实/虚拟现实
机器人
FAQ von Scale AI (规模人工智能)
Scale AI (规模人工智能)支持哪些人工智能应用？
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Scale AI (规模人工智能)的核心功能是什么？
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Scale AI (规模人工智能) Support-E-Mail & Kundendienstkontakt & Rückerstattungskontakt usw.
Hier ist die Support-E-Mail von Scale AI (规模人工智能) für den Kundendienst: sales@scale.com .
Scale AI (规模人工智能) Unternehmen
Scale AI (规模人工智能) Firmenname: Scale AI, Inc. .
Weitere Informationen zu Scale AI (规模人工智能) finden Sie auf der Über uns-Seite (https://scale.com/about) .
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Scale AI (规模人工智能) Preise
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Scale AI (规模人工智能) Linkedin
Scale AI (规模人工智能) Linkedin link: https://www.linkedin.com/company/scaleai
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Social Media Listening
Should We Be Fearful of Artificial Intelligence? w/ Emad Mostaque, Alexandr Wang, and Andrew Ng | 39
This episode is a panel from my annual Summit, Abundance360 in 2023, you can learn more about Abundance360 here: www.abundance360.com This episode is supported by exceptional companies such as Use my code MOONSHOTS for 25% off your first month's supply of Seed's DS-01® Daily Synbiotic: http://www.seed.com/moonshots Levels: real-time feedback on how diet impacts your health https://levels.link/peter . In this Ask Me Anything session during this year’s Abundance360 summit, Andrew, Emad, Alexandr, and Peter discuss how the world will change post-A.I explosion, including how to reinvent your business, your skills, and more. Emad Mostaque is the Founder and CEO of Stability AI, the company behind Stable Diffusion. Alexandr Wang is the world’s youngest self-made billionaire at 24 and is the Founder and CEO of Scale AI. Andrew Ng is the Founder of DeepLearning.AI and the Founder & CEO of Landing AI. Try out Stable Diffusion: https://stability.ai/blog/stable-diffusion-public-release Visit Scale AI: https://scale.com/ Learn AI with DeepLearning.AI: https://www.deeplearning.ai/ Topics: 0:00:00 Intro 0:03:39 How Do We Educate On New Technologies In Our Changing World? 0:05:22 Why We're In The Acceleration Phase of AI 0:06:44 When Will AI Have Perfect Output? 0:08:37 Optimize Your Gut Health With SEED 0:09:58 How Will AI Change The Healthcare Process? 0:13:41 How to Implement AI in Your Business? 0:15:22 Is There Any Industry That AI Will Never Disrupt? 0:17:23 Can Large Language Models Explain Why They Say Things? 0:18:39 What Safeguards Are Being Created To Protect Us From AI? 0:20:50 How AI Could Aid in Disaster Recovery 0:22:43 The Profile of a Chief AI Officer 0:25:47 What is the first step toward building an AI system? 0:27:23 "Don't Go To University Anymore, Do Ph.D.'s" 0:28:27 Will The First Trillionaire Be Born From The Power Of AI? 0:31:39 How Can We Save Humanity With AI? 0:34:17 How Concerned Should We Be About The Ethics Of AI? 0:38:44 Can AI Recommend Good Investment Advice? 0:40:29 Industry AI Models Will Be Here Sooner Than You Think. 0:43:58 Is Using AI Cheating, Or Is It A Tool For Learning? 0:45:28 Quickfire Session: Music Models, Privacy For Healthcare, College? 0:47:15 Questions For Next Time/Outro. -------------------------------------------- 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: Twitter: https://bit.ly/40JYQfK Instagram: https://bit.ly/3x6UykS Listen to the show: Apple: https://apple.co/3wLXeV3 Spotify: https://spoti.fi/3DwLzgs Trailer composed and edited by @abramshaffer
‘Everything is Going to Be Robotic’ Nvidia Promises, as AI Gets More Real
A host of new AI robotic demos, led by Nvidia, have people questioning the future of employment ... and ... reality, while Jensen Huang states that his ultimate ambition is to automate Nvidia entirely. Work has already begun on this, but I show, with interviews and papers, that things might not be so simple to predict. AI Insiders: https://www.patreon.com/AIExplained Generative Physical AI, Nvidia Demos: https://www.youtube.com/watch?v=AYSfcgVv9-U Hyperlocal Forecasts: https://www.youtube.com/watch?v=ALigJ5xguMw Digital Humans: https://www.youtube.com/watch?v=8xMeIwBnIpU ‘Everything Will be Robotic’, 1.30.00, https://www.youtube.com/watch?v=pKXDVsWZmUU One Giant AI, 51.00, https://www.youtube.com/watch?v=8Pfa8kPjUio&t=3111s Last Five Years of Work: https://www.palladiummag.com/2024/05/17/my-last-five-years-of-work/ Lost Job to AI: https://www.youtube.com/watch?v=U2vq9LUbDGs AstriBot Demo (Contested Accuracy): https://x.com/electrik_dreams/status/1783804506175615306 Starbucks Automation: https://x.com/NorthstarBrain/status/1794819711240155594 AI Covert Influence, OpenAI: https://openai.com/index/disrupting-deceptive-uses-of-AI-by-covert-influence-operations/ Scale AI Leaderboard: https://scale.com/leaderboard AI Mentioned Exponentially More Across Academic Fields, https://arxiv.org/pdf/2405.15828 ‘Job Apocalypse’: https://www.theguardian.com/technology/2024/mar/27/ai-apocalypse-could-take-away-almost-8m-jobs-in-uk-says-report#:~:text=2%20months%20old-,AI%20'apocalypse'%20could%20take%20away%20almost%208m,jobs%20in%20UK%2C%20says%20report&text=Almost%208%20million%20UK%20jobs,at%20most%20risk%20from%20automation. DrEureka Video and Paper: https://www.youtube.com/watch?v=d5mdW1yPXIg&t=446s https://eureka-research.github.io/dr-eureka/ AI Insiders: https://www.patreon.com/AIExplained Non-hype Newsletter: https://signaltonoise.beehiiv.com/ GenAI Hourly Consulting: https://www.theinsiders.ai/ Need an GenAI app built for your business (any scale), in 4-8 weeks? My SF-based colleague Michael Lin, ex-Netflix + Amazon Senior Software Engineer - is now available for a free 30 min consultation: hello@allinengineeringconsulting.com
Adam Brown – Mining Black Holes, Space Elevators & Einstein-Level AI
Adam Brown is a founder and lead of BlueShift which is cracking maths and reasoning at Google DeepMind and a theoretical physicist at Stanford. We discuss: destroying the light cone with vacuum decay, holographic principle, mining black holes, & what it would take to train LLMs that can make Einstein level conceptual breakthroughs. Stupefying, fascinating, & terrifying. Enjoy! Read the transcript: https://www.dwarkeshpatel.com/p/adam-brown Apple Podcasts: https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381 Spotify: https://open.spotify.com/show/4JH4tybY1zX6e5hjCwU6gF Sponsors: - Deepmind, Meta, Anthropic, and OpenAI, partner with Scale for high quality data to fuel post-training Publicly available data is running out - to keep developing smarter and smarter models, labs will need to rely on Scale’s data foundry, which combines subject matter experts with AI models to generate fresh data and break through the data wall. Learn more at https://scale.com/dwarkesh - Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for ML researchers, FPGA programmers, and CUDA programmers. Summer internships are open for just a few more weeks. If you want to stand out, take a crack at their new Kaggle competition. To learn more, go to https://www.janestreet.com/dwarkesh - This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. Learn more at https://stripe.com Timestamps: (00:00:00) - Changing the laws of physics (00:26:53) - Why is our universe the way it is (00:38:22) - Making Einstein level AGI (01:01:19) - Physics stagnation and particle colliders (01:12:07) - Hitchhiking (01:29:48) - Nagasaki (01:37:07) - Adam’s career (01:44:18) - Mining black holes (02:00:30) - The holographic principle (02:24:13) - Philosophy of infinities (02:32:30) - Engineering constraints for future civilizations
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