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— A poll from consultancy Accenture out on Monday revealed that 58% of execs expect generative AI solutions to be adopted at scale within the organization in 2025, up from just 37% in 2024. Several companies from Intel to Salesforce and Workday displayed AI-linked branding on the front of their spaces on the Davos Promenade.
— A group of news organizations, led by The New York Times, took ChatGPT maker OpenAI to federal court on Tuesday in a hearing that could determine whether the tech company has to face the publishers in a high-profile copyright infringement trial. Three publishers' lawsuits against OpenAI and its financial backer Microsoft have been merged into one case. Leading each of the three combined cases are the Times, The New York Daily News and the Center for Investigative Reporting.
— Along with an Nvidia Grace processor and Blackwell graphics card, the Project Digits has 4 terabytes of SSD storage and 128 gigabytes of RAM.
— Nvidia $3,000 personal AI supercomputer called Digits can handle AI models with up to 200 billion parameters. — (LINK)
— The operation, named Nordic Warden, was activated last week and harnesses AI to assess data from a range of sources to calculate the risk posed by each vessel entering areas of interest.
— Chemistry laureate Demis Hassabis told a news conference in Stockholm: The underlying issue is "about what do we want to use these systems for, how do we want to deploy them and making sure that all of humanity benefits from what these systems can do".
— Physics Nobel Prize winner Geoffrey Hinton said "Governments are unwilling to regulate themselves when it comes to lethal autonomous weapons and there is an arms race going on between all the major arms suppliers like the United States, China, Russia, Britain, Israel."
— Reinforcement Fine-Tuning (RFT) is a groundbreaking approach that could empower developers and machine learning engineers to create AI models tailored for complex, domain-specific tasks. Unlike traditional supervised fine-tuning, which focuses on training models to replicate desired outputs, RFT optimizes a model's reasoning capabilities through lessons and rewards. This advancement represents a significant leap in AI customization, enabling models to excel in specialized fields.
