A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality

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• What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. JDJeff Dean30 Jul 2026similar wordingChief Scientist at Google DeepMind and Google Research
• Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. BEBenedict Evans2 Sept 2025similar wordingTechnology analyst whose weekly email on tech reaches over 150,000 readers
• Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it. AKAndrej Karpathy17 Oct 2025similar wordingFounding member of OpenAI and former director of AI at Tesla

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