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- AI reshapes trust, chips, and publishing
AI reshapes trust, chips, and publishing
From groundbreaking science to Amazon's chip ambitions and AI-published books, the future of AI is unfolding fast.
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At a London forum, researchers highlighted AI's role in groundbreaking science, from mapping the human body's cells to advancing drug discovery. DeepMind CEO Demis Hassabis emphasized the scientific method's importance in fostering trust, cautioning against rushing innovation. Experts warned of a reproducibility crisis as AI accelerates research, urging transparency about human oversight in discoveries. (Read more)
Amazon’s Trainium2 chip is the centerpiece of its ambitious plan to rival Nvidia in the $100 billion AI chip market. Aimed at slashing costs and boosting efficiency for AI workloads, Trainium2 is part of Amazon’s strategy to reduce reliance on Nvidia’s dominant GPUs, which remain expensive and in short supply. Early adopters like Anthropic and Databricks are testing the chip, intrigued by claims of better price-performance, but challenges remain. Nvidia’s comprehensive software tools still make it the preferred choice, and Amazon’s Neuron SDK has a steep hill to climb. (Read more)
Spines, a startup founded in 2021, plans to publish 8,000 books in 2025 using AI to streamline proofreading, design, and distribution. Charging authors $1,200–$5,000 per book, Spines claims to cut publishing timelines from months to weeks. CEO Yehuda Niv says the goal is to make publishing accessible, though industry experts raise concerns over AI’s impact on creative roles and book quality. (Read more)
OpenAI’s reasoning model, o1, may not yet be a ChatGPT staple, but scientists are finding groundbreaking uses for it. At Lawrence Livermore National Laboratory, researchers are leveraging o1-preview to tackle nuclear fusion problems that would typically take days to solve. These models excel in generating scientific hypotheses, handling advanced computations, and even recognizing missing variables in complex scenarios. Mathematician Terence Tao predicts reasoning models could soon function like “competent graduate students,” potentially revolutionizing research across disciplines. (Read more)
Nvidia has introduced Fugatto, a generative AI model designed to produce and modify audio, catering to industries like music, film, and gaming. Fugatto stands out by generating novel sounds (e.g., making a trumpet mimic a dog) and modifying existing audio, such as changing accents or moods in speech or converting piano notes into vocals. Despite its potential, Nvidia has no immediate plans to release Fugatto, citing concerns about misuse and copyright infringement. The model, trained on open-source data, highlights Nvidia's push to redefine audio production using generative AI while addressing the risks of the technology. (Read more)
A federal judge ruled that The Intercept can proceed with its lawsuit against OpenAI, accusing the AI firm of using the news outlet’s content without permission or attribution in training ChatGPT. The case alleges violations of the Digital Millennium Copyright Act (DMCA), claiming OpenAI failed to preserve author and copyright details. While some claims were dismissed, the decision marks a win for news publishers challenging AI firms over unauthorized use of their work. (Read more)