Week 37

View this email in your browser Hi Humans, The hottest topic of the week is probably the release of Strawberry - OpenAI’s newest LLM model, we will get into that next week. BUT many other things have happened in the world of AI. Around the horn: : The image generator Grok 2.0 made by xAI is on 🔥 Apple has launched Apple intelligence. 90 countries are attending a summit in Seoul to create a blueprint for responsible use of AI in the military. 2,000$ per month for Using OpenAI’s Chatbot? Elon M. will ban Apple - if they make the OpenAI integration   Elon Musk has declared he would ban Apple devices at his companies if Apple integrates OpenAI into its operating system, calling it an "unacceptable security violation." Musk is so serious about this that he mentioned storing visitor's Apple devices in a locked box at the door. Musk criticised Apple for not creating its own AI and doubted their ability to ensure OpenAI's security and privacy. Apple, however, claims that its use of secure private cloud systems combined with on-device processing to enhance privacy, can be just as secure as keeping data on the device. Musk's conflict with OpenAI is a story of many layers. He co-founded OpenAI in 2015 but later sued its CEO, Sam Altman, believing the company had strayed from its mission. Musk has since established his own AI startup, xAI, aiming to provide an alternative to products like ChatGPT. Source: AI. Why It Matters This conflict could significantly influence the future of AI integration and data privacy, pushing companies to reassess their AI partnerships and privacy protocols. It may also drive competition, encouraging innovation in creating more secure and ethical AI solutions. Hey you - join us here 👉🏻 Why Meta have made Llama Open-Source Training a large language model like Llama is no small feat—it can cost millions of dollars! Source: Industry Wired Training a large language model like Llama is no small feat—it can cost millions of dollars! So, why would Meta spend all that money only to let everyone use it for free? A super simplified analysis of their choice: Attracting Top Talent: Open-sourcing Llama draws in experts eager to work on impactful projects, making Meta an attractive workplace fostering innovation. Community Contribution: By making Llama open-source, Meta harnesses the collective brainpower of the global community, who help fine-tune, enhance, and scrutinise the model, making it more robust without high costs. Innovation Speed: Meta can quickly adopt new methods from the community with minimal cost, allowing for faster iterations and advancements. However, the Open-Source decision also brings new challenges: Low User Retention:  Users can easily switch to different models, making it hard for Meta to keep them hooked. Complex Services: Creating a service around an open-source model is complicated and resource-intensive, so many companies might still prefer to pay for Meta’s (or others) expertise. Why It Matters This bold move to open-source the Llama model democratises access to powerful AI tools, allowing more people and organisations to innovate in various fields, from healthcare to entertainment. It attracts top AI talent and accelerates technological advancements through community collaboration. By leading this movement, Meta stays competitive and influential in the AI space, paving the way for future breakthroughs that will shape our technological landscape. Join our community here: Thank you for reading! If you have inputs, or improvements - please reach out to me on LinkedIn:) This mail is made in collaboration with Martin Rosengaard and Silje Buch Larsen. Until next time // Annemette Møhl Copyright (C) 2024 AI.Hub CPH. All rights reserved. You are receiving this email because you opted in via our website. Our mailing address is: AI.Hub CPH Hojbro Plads 10 Kobenhavn K 1200 Denmark Want to change how you receive these emails? You can update your preferences or unsubscribe