Carl Carrie (@🏠)
@carlcarrie
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Meanderings on markets, microstructure, misinformation, machine learning, metaverses, and multiverses... maybe more. #FinTech #AI #Python - Views are my own.
New York
Joined June 2009
DeepSeek's influence on AI and Markets is profound, with its open-source approach challenging traditional moats. There are no AI MOATS! Read more here:
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RT @swapnakpanda: "Foundations of Machine Learning" A 505-pages book from MIT for beginners is 💯 FREE.
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Deepseek Impact across Hyperscalers, AI-Scalers, AI-Ecosystem and AI-Chip Players Discussed…
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Foundations of Large Language Models New #ebook covers pre-training, generative models, prompting techniques, and alignment methods...
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Quantum Cats on a Saturday Morning... A new discovery promises to greatly reduce errors in quantum computing and is an important precursor to Applied Quantum Computing - paper
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If you ever want to read a visual, non mathematical but thorough history and description of Entropy Well, this is it...
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NVIDIA just announced DIGITS, a GPU-powered Super Computer for AI that can run models with 200B parameters and daisy chain to run 400B, 600B, or higher model sizes (truly large language and multimodal models) - all this in the ultra-compact form factor of a Mac mini.
At #CES2025, Nvidia CEO Jensen Huang unveiled Project Digits, a “personal AI supercomputer” that provides access to the company’s Grace Blackwell hardware platform in a compact form factor.
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RT @docmilanfar: The origins of the formula my dad knew is a mystery, but I know it has been used in the bazaar's of Iran (and elsewhere) f…
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RT @giansegato: this is paper is kinda wild. turns out that if you simply ask an LLM to straight out predict a timeseries like this: ``` <…
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Large language models as inspiration for time series foundation models Workshop : List of papers:
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Good discussion on entropy and the decades of different perspectives on defining it
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@a16z and @ycombinator lists of sought investment archetypes in AI, FinTech, Digital Assets and tech and vertical infra
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New paper integrates deep learning with rough volatility models FinX
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Multimodal Time-Series Research Page: “Our results show that plotting as an approach amplifies the capabilities of multimodal models currently available to consumers to make sense of complicated time-series data.” Paper:
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