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September 26, 2024
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4 mins
Hello Niuralogists!
Welcome to this week’s edition, where we dive into the latest advancements in artificial intelligence. We’ll explore how these innovations are shaping various aspects of our lives—from the workplace and business to policies and personal experiences. This issue highlights some fascinating updates, including Sam Altman’s take on the future of AI, new AI weather tech, preparations for the needs and capabilities of AI, and more.
For more in-depth coverage, keep reading…
According to Sam Altman, OpenAI’s CEO, AI will revolutionize human capabilities in the coming decades, enabling us to accomplish tasks that seem like magic today. AI, especially through deep learning, has unlocked powerful tools that will enable personal AI assistants, virtual tutors, better healthcare, and more. With enough compute and energy, AI could become a universal resource, democratizing prosperity and solving global challenges like climate change. However, this shift will also bring downsides, such as changes in labor markets. As society adapts, AI will amplify human creativity and problem-solving, driving the world into the "Intelligence Age."
Google's Gemini AI 1.5 update introduced several significant improvements, including two new models, "Gemini 1.5 Pro" and "Gemini 1.5 Flash," both optimized for better performance and efficiency. Notably, Gemini 1.5 Pro features a groundbreaking 2 million-token context window, enabling the model to process vast amounts of data, such as large documents, code repositories, and video inputs. The "Flash" model is designed for speed and high-volume tasks, making it cost-effective and suitable for large-scale operations. Both models enhance multimodal capabilities, processing text, audio, video, and code, offering developers more powerful tools across various industries.
Intel announced the launch of its Xeon 6 processors and Gaudi 3 AI accelerators to meet the growing demand for AI infrastructure. The Xeon 6 processors double the performance of their predecessors, enhance memory bandwidth, and have AI acceleration embedded in every core. The Gaudi 3 AI accelerators are optimized for large-scale generative AI, featuring 64 Tensor processor cores, 128 GB of memory, and advanced networking capabilities. These advancements promise greater performance per watt, lower total cost of ownership, and scalability. Intel has partnered with IBM to offer Gaudi 3 as a service on IBM Cloud and collaborates with OEMs like Dell to deploy AI solutions tailored for enterprise needs.
Prithvi WxC is a new AI model designed to help predict and analyze weather and climate patterns. It’s a powerful tool trained on a large dataset from NASA, which includes information like temperature, humidity, and wind patterns. Unlike traditional weather models that focus on specific tasks, Prithvi WxC can handle multiple tasks, such as forecasting storms, improving long-term climate predictions, and creating high-resolution weather maps. By combining data from different regions and timeframes, the model can make very accurate predictions, even in challenging situations like predicting extreme weather events. It’s already shown better results than traditional methods in tasks like downscaling. Prithvi WxC has been made available to the public, so researchers and developers can use it to tackle various weather and climate challenges.
Three Mile Island, the site of the worst U.S. nuclear accident to date, will be reopened to power Microsoft’s data centers under a new 20-year deal with Constellation Energy. The renamed Crane Clean Energy Center will generate clean, carbon-free energy to support Microsoft’s cloud computing and AI operations. Expected to reopen by 2028, the project will create 3,400 jobs, generate over $3 billion in taxes, and add $16 billion to Pennsylvania’s GDP. Nuclear energy is touted as a reliable, carbon-free power source to meet the growing demands of industries like AI. However, some activists question the cost to taxpayers for reopening the plant.
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LinkedIn suspended processing UK user data for AI training following concerns raised by the UK's Information Commissioner's Office about LinkedIn using personal information to train generative AI without explicit consent. LinkedIn paused AI training for users in the UK, European Economic Area, and Switzerland, and is working to minimize personal data used in training. However, users outside these regions must manually opt out of the data use. This move reflects increasing scrutiny of how AI models use personal data, with companies like Meta and Zoom facing similar challenges. The US FTC also raised concerns about social media companies' data collection and retention practices.
James Cameron will join Stability AI’s board of directors. Cameron's collaboration with the AI company highlights his commitment to exploring the intersection of generative AI and CGI in visual storytelling. Stability AI, which developed the Stable Diffusion text-to-image model, is gaining attention in Hollywood, particularly in the visual effects industry. CEO Prem Akkaraju emphasized the transformative potential of Cameron’s involvement. Sean Parker, former Facebook president, also joined as executive chairman. This partnership reflects the growing influence of AI in creative fields, despite Hollywood’s mixed reactions to the technology.
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