Threading LLaMA

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If you thought that the biggest winner from Threads was Zuck, you are mistaken – it’s LLaMA. And it’s dead serious. A few hours into Threads launch, Mark Zuckerberg received a letter from Twitter accusing Meta of engaging in a ‘systematic, wilful and unlawful’ misappropriation of Twitter’s trade secrets and intellectual property. The beef is not really about copying a microblogging site or winning the social media race, but it's the AI race.  A month ago, on Lex Fridman’s podcast, Zuckerberg said that the company is working on another version of LLaMA, which is most likely to be trained on all the services that Meta offers, which now includes the text-based, social media platform, Threads.  For a long time now, Musk had also envisioned building an OpenAI’s ChatGPT alternative. It was speculated that he might leverage Twitter data to make it more (or less) aligned, and build a specialised AI assistant, called TruthGPT. But there has been no update ever since.  Zuck saw that there is something powerful in the idea of training an AI assistant or a chatbot based on social network data. The goal of building a Twitter alternative has possibly now turned into building an OpenAI alternative. The best thing that Meta can do here is to keep the technology open source, which the Meta boss, as well as the AI chief Yann LeCun, has been advocating for all this while.  Now that Zuckerberg has Threads, he can collect and hoard data from users and use it for building generative AI models. Interestingly, the bid to open source AI models is continued, and this time, ‘Super LLaMa’ would be decentralised. It sounds like Zuckerberg is giving the control of its data back to the users, but there is possibly a trick in there.  Read the complete story here.  Andrew Ng’s Generative AI Courses  There is no other AI guru like Andrew Ng. Here’s a list of top generative AI courses offered by him. Check out the details of these courses here.  Imaginary Problems Call for Imaginary Solutions  OpenAI recently said that it would solve AI Alignment within four years — an idea that seems far-fetched. And people have reacted. Meta founder Zuckerberg commented that at a time when we are not even able to solve cybercrime issues, solving super alignment is no less than climbing a mountain peak.  Meta AI chief Yann LeCun said that one cannot solve the AI alignment problem in four years. “One doesn’t just ‘solve’ the safety problem for turbojets, cars, rockets, or human societies, either,” he said, adding that engineering-for-reliability is always a process of continuous and iterative refinement.  But, is the AI threat even real? Read to find out. Driving Innovation via Generative AI Hackathons  In this exclusive interaction with AIM, SAP’s senior director of AI, Rahul Lodhe shared interesting new developments on how the company is unleashing innovation via generative AI hackathons, led by the ‘Generative AI interest group’, which was launched in February this year.  “More than 2,500 colleagues joined the interest group across different roles and domains from developers, and product owners, to UX/ UA designers. Interestingly, the Generative AI interest group launched a generative AI hackathon called ‘Idea2Impact’ in March 2023 across SAP Labs India,” Lodhe said. Read the complete interview here. TAUSIF ALAM & AMIT RAJA NAIK Friday, Jul 7, 2023 | Was this email forwarded to you? Sign up here DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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