Epoch AI
O que é Epoch AI?
Epoch é um instituto de pesquisa investigando tendências-chave e questões que moldarão a trajetória e governança da Inteligência Artificial.
Como usar Epoch AI?
Para acessar a pesquisa e relatórios, visite o site e navegue pelas várias seções focadas em tendências de IA, aprendizado de máquina e governança.
Principais recursos da Epoch AI
Pesquisa aprofundada sobre tendências e governança de IA
Relatórios, artigos e visualizações sobre IA
Casos de uso da Epoch AI
Tomada de decisão com base em insights empíricos de IA
Compreensão do cenário de IA e aprendizado de máquina
Tomada de decisão para governança de IA
Perguntas frequentes de Epoch AI
Em que tipo de pesquisa o Epoch se concentra?
Como os formuladores de políticas podem se beneficiar da pesquisa do Epoch?
Epoch AI E-mail de suporte e contato de atendimento ao cliente e contato de reembolso, etc.
Aqui está o e-mail de suporte da Epoch AI para atendimento ao cliente: info@epochai.org .
Epoch AI Empresa
Epoch AI Nome da empresa: Epoch AI .
Mais sobre Epoch AI, visite a página sobre nós(https://epochai.org/team) .
Linkedin de Epoch AI
Link de Linkedin de Epoch AI: https://www.linkedin.com/company/epochai
Twitter de Epoch AI
Link de Twitter de Epoch AI: https://twitter.com/EpochAIResearch
Github de Epoch AI
Link de Github de Epoch AI: https://github.com/epoch-research
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AI can't cross this line and we don't know why.
Have we discovered an ideal gas law for AI? Head to https://brilliant.org/WelchLabs/ to try Brilliant for free for 30 days and get 20% off an annual premium subscription. Welch Labs Imaginary Numbers Book! https://www.welchlabs.com/resources/imaginary-numbers-book Welch Labs Posters: https://www.welchlabs.com/resources Support Welch Labs on Patreon! https://www.patreon.com/welchlabs Special thanks to Patrons: Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, Mrgoodlight, Shinichi Hayashi, Sid Sarasvati, Dominic Beaumont, Shannon Prater, Ubiquity Ventures, Matias Forti, Brian Henry, Tim Palade, Petar Vecutin Learn more about WelchLabs! https://www.welchlabs.com TikTok: https://www.tiktok.com/@welchlabs Instagram: https://www.instagram.com/welchlabs REFERENCES A Neural Scaling Law from the Dimension of the Data Manifold: https://arxiv.org/pdf/2004.10802 First 2020 OpenAI Scaling Paper: https://arxiv.org/pdf/2001.08361 GPT-3 Paper: https://arxiv.org/pdf/2005.14165 Second 202 OpenAI Scaling Paper: https://arxiv.org/pdf/2010.14701 Google Deepmind “Chinchilla Scaling” Paper: https://arxiv.org/abs/2203.15556 Nice summary of Chinchilla Scaling: https://www.lesswrong.com/posts/6Fpvch8RR29qLEWNH/chinchilla-s-wild-implications GPT-4 Technical Report: https://arxiv.org/pdf/2303.08774 Nice Neural Scaling Laws Summary: https://www.lesswrong.com/posts/Yt5wAXMc7D2zLpQqx/an-140-theoretical-models-that-predict-scaling-laws Explaining Neural Scaling Laws: https://arxiv.org/pdf/2102.06701 High Cost of Training GPT-4: https://www.wired.com/story/openai-ceo-sam-altman-the-age-of-giant-ai-models-is-already-over/ Nvidia V100 FLOPs: https://lambdalabs.com/blog/demystifying-gpt-3 Nvidia V100 Original Price: [https://www.microway.com/hpc-tech-tips/nvidia-tesla-v100-price-analysis/#:~:text=Tesla GPU model,Key Points](https://www.microway.com/hpc-tech-tips/nvidia-tesla-v100-price-analysis/#:~:text=Tesla%20GPU%20model,Key%20Points) Great paper on scaling up training infrastructure: https://arxiv.org/pdf/2104.04473 Eight Things to Know about LLMs: https://arxiv.org/abs/2304.00612 Emergent Properties of LLMs: https://arxiv.org/abs/2206.07682 Theoretical Motivation for Cross Entropy (Section 6.2): https://www.deeplearningbook.org/ Some papers that appear to pass the compute efficient frontier https://arxiv.org/pdf/2206.14486 https://arxiv.org/abs/2210.11399 Leaked GPT-4 training info https://patmcguinness.substack.com/p/gpt-4-details-revealed https://www.semianalysis.com/p/gpt-4-architecture-infrastructure https://epochai.org/blog/tracking-large-scale-ai-models
Fully Autonomous Weapon Systems - The technology, capability and controversy of robots at war
Sponsored by: Private Internet Access: https://www.piavpn.com/Perun For all the changes we've seen in weapon systems, the role of humans as the key decision makers when it comes to the use of force has remained. But what happens when machines develop to the point where they are increasingly able to perceive the battlefield and make that decision for themselves. As the AI rush plays out, compute becomes cheaper and battlefield pressures play out, nations may face increasing pressure to unleash autonomous systems from their human handlers. So in this episode we discuss the potential of these systems, some of the advantages and pressures that might drive their development...and what the prospect for international regulation might be before the killer robots start to take the field in significant numbers. Patreon: https://www.patreon.com/PerunAU Caveats, Comments and Corrections: All normal caveats and disclaimers apply In particular – I would like to note as always that this material has been created for entertainment purposes and is not intended to be a complete or comprehensive examination of the topic in question and should not be relied upon to inform financial or other decisions or purposes Sources & Reading (limited as I was ill – may update in coming week) Submission by the Russian Federation – Approaches of the Russian Federation to the issue of emerging technologies in the area of lethal autonomous weapons systems https://docs-library.unoda.org/Convention_on_Certain_Conventional_Weapons_-Group_of_Governmental_Experts_on_Lethal_Autonomous_Weapons_Systems_(2024)/CCW-GGE.1-2024-WP.2.pdf Final report of the Panel of Experts on Libya established pursuant to Security Council resolution 1973 (2011) – Dated 8 March 2021 https://documents.un.org/doc/undoc/gen/n21/037/72/pdf/n2103772.pdf?token=xJC2PHgGvDGWD55OB1&fe=true DoD FY 2024 Budget Estimates – Air Force – RDT&E https://www.saffm.hq.af.mil/Portals/84/documents/FY24/Research%20and%20Development%20Test%20and%20Evaluation/FY24%20Air%20Force%20Research%20and%20Development%20Test%20and%20Evaluation%20Vol%20II.pdf?ver=pYOQLrjX71gVe8w6FCJOwg%3D%3D#page=500 USNI – Defense Primer: U.S. Policy on Lethal Autonomous Weapon Systems https://news.usni.org/2022/11/17/defense-primer-u-s-policy-on-lethal-autonomous-weapon-systems CRS report referenced above https://www.documentcloud.org/documents/23310494-if11150?responsive=1&title=1 CRS - International Discussions Concerning Lethal Autonomous Weapon Systems https://crsreports.congress.gov/product/pdf/IF/IF11294 Small drones will soon lose combat advantage, French Army chief says https://www.defensenews.com/global/europe/2024/06/19/small-drones-will-soon-lose-combat-advantage-french-army-chief-says/ IAI – Harpy Anti-Radiation Autonomous Weapon https://www.iai.co.il/p/harpy https://www.iai.co.il/sites/default/files/2023-06/HARPY%20Brochure.pdf Epoch AI piece on GPU performance https://epochai.org/blog/trends-in-gpu-price-performance Kangaroos vs Self Driving Cars https://www.theguardian.com/technology/2017/jul/01/volvo-admits-its-self-driving-cars-are-confused-by-kangaroos Javglevskaja & Liivoja - Balancing the lopsided debate on autonomous weapon systems https://www.aspistrategist.org.au/balancing-the-lopsided-debate-on-autonomous-weapon-systems/ Drone image source https://www.spslandforces.com/story/?id=747&h=Swarm-Drones---New-Frontier-of-Warfare Timestamps: 00:00 — Opening Words 00:47 — What Am I Talking About? 03:19 — The Emergence Of Autonomy 07:15 — Human Out Of The Loop Operation 13:33 — Tactical Advantages And Application 22:25 — Pressures For Deployment 32:04 — A Path Towards Regulation? 45:36 — Channel Update
Lo que Acabamos de Conocer PARALIZA AL MUNDO
Desde alimentos que causan algo inesperado en la salud, hasta el anuncio intrigante de unos científicos sobre inteligencia artificial, pasando por la construcción de la ciudad más grande del mundo, estas son noticias que acabamos de conocer que acaban de causar un shock en todo el mundo... ►Atraviesa lo desconocido: https://www.youtube.com/@Atraviesalodesconocido ►Mi canal de noticias: https://www.youtube.com/@Noticiasasombrosas ►Atraviesa lo desconocido LIVE: https://www.youtube.com/@AtraviesalodesconocidoLIVE ►Mi Web: http://atraviesalodesconocido.com ★↓Sígueme en redes sociales↓★ Facebook: https://www.facebook.com/AtraviesalodesconocidoFB/ Perfil oficial Facebook: https://www.facebook.com/FonRamosOficial/ Twitter: https://twitter.com/AtraviesaLoDesc Instagram: https://www.instagram.com/atraviesalodesconocidooficial/ Tik Tok: https://www.tiktok.com/@atraviesadesconocido WhatsApp: https://whatsapp.com/channel/0029Va9SHFdBVJl70f0Nme2B Threads: https://www.threads.net/@atraviesalodesconocidooficial Atribuciones de vídeo: ALMA/NAOJ/ESO/ESA/HUBBLE (cc by 4.0) NASA/JPL Más información y fuentes: https://www.gmu.edu/news/2024-06/george-mason-university-announces-its-first-nasa-space-mission-which-seeks-uncover https://www.sciencedirect.com/science/article/abs/pii/S1359178924000466?fr=RR-2&ref=pdf_download&rr=8876a9a31fd872aa https://pubs.acs.org/doi/abs/10.1021/acs.jafc.4c01043 https://www.scmp.com/news/china/science/article/3218858/could-china-build-second-capital-far-western-deserts-xinjiang https://arxiv.org/abs/2211.04325 https://epochai.org/blog/will-we-run-out-of-data-limits-of-llm-scaling-based-on-human-generated-data Capítulos: 00:00 Intro 00:32 Lanzarán una estrella artificial al cielo 01:41 Descubrimientos nuevos y desconcertantes en alimentos 04:39 El colosal plan para construir la ciudad más grande del mundo 06:26 Algo inesperado ocurrirá pronto con la Inteligencia Artificial
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