Tag: AI training
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AI Training: I’m Not Dead Yet — The Untold Powerhouse Driving the AI Boom
Introduction: The Silent Engine Behind AI Advances While inference often grabs headlines with flashy demos and product launches, the true engine behind transformative AI capabilities is training. The AI training market continues to gobble gigawatts of power and churn vast amounts of compute, powering the development of ever-larger models, specialized architectures, and iterative experimentation. Recent…
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AI Training Boom: I’m Not Dead Yet—Powering the Next Wave of AI Models
Introduction: The Hidden Engine Behind Modern AI When people discuss artificial intelligence, the conversation often centers on clever inferences, smart assistants, and dazzling demos. Yet the most consequential work happens earlier in the pipeline: AI training. This phase, demanding immense compute, energy, and data, is the quiet powerhouse that shapes the capabilities and limitations of…
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MLCommons Unveils MLPerf Training v5.1 Results: A New Milestone for AI Training Performance
Overview: A Leap Forward in AI Training Benchmarks MLCommons has released its MLPerf Training v5.1 benchmark results, underscoring a rapid evolution in the AI ecosystem. The latest results highlight improvements in training speed, efficiency, and scalability across a range of models and hardware platforms. As organizations increasingly rely on AI to power decision-making, the v5.1…
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AI Training: The Silent Powerhouse Driving Today’s Compute Surge
Introduction: The Hidden Engine Behind Modern AI When people talk about artificial intelligence breakthroughs, they often focus on the end results—chatbots that pass the Turing test, image generators with uncanny realism, or autonomous systems that adapt on the fly. But beneath these feats lies a quieter, equally transformative force: the AI training market. While inference…
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Authors Win Landmark Case Over AI Training Piracy
Headline victory could redefine AI training norms Three high-profile authors—Andrea Bartz, Kirk Wallace Johnson, and Charles Graeber—made headlines by becoming named plaintiffs in a landmark class-action lawsuit accusing AI developers of pirating their books to train artificial intelligence. The case, one of the first major tests of how copyright law applies to machine learning data,…
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Three Authors Win Big in Pirated-Training AI Case: A Landmark Victory and a Longer Fight Ahead
Illustrating a Turning Point in AI and Copyright In a development that could reshape how artificial intelligence organizations source training data, three authors—Andrea Bartz, Kirk Wallace Johnson, and Charles Graeber—recently secured a significant legal win after their books were pirated to train AI models. The court’s decision marks a rare moment of progress for writers…
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Comet Browser Goes Free: Perplexity vs Chrome
Overview: Perplexity Makes Comet Free for All, with a Mobile Roadmap Perplexity has officially made its Comet browser free for all users. CEO Aravind Srinivas announced on X that everyone can download Comet and use the Comet Assistant, with a mobile version coming soon. Since its July launch, interest has surged; the waitlist crossed millions,…
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Authors’ Union Calls on KB to Stop Training AI on Members
Sweden’s Authors’ Union challenges KB over AI training In Sweden, the Authors’ Union has publicly urged the National Library of Sweden (KB) to stop training its upcoming Swedish AI language models on works by the union’s members. The union argues that the legal framework is unclear and that such training could exploit writers rights without…