\u201cThe average person can read 100,000 tokens of text in around five hours, and then they might need substantially longer to digest, remember, and analyze that information,\u201d Anthropic continues. \u201cClaude can now do this in less than a minute. For example, we loaded the entire text of The Great Gatsby into Claude \u2026 and modified one line to say Mr. Carraway was \u2018a software engineer that works on machine learning tooling at Anthropic.\u2019 When we asked the model to spot what was different, it responded with the correct answer in 22 seconds.\u201d<\/p>\n

Now, longer context windows don\u2019t solve the other memory-related challenges around large language models. Claude, like most models in its class, can\u2019t retain information from one session to the next. And unlike the human brain, it treats every piece of information as equally important, making it a not particularly reliable narrator. Some experts believe that solving these problems will require entirely new model architectures.<\/p>\n

For now, though, Anthropic appears to be at the forefront.<\/p>\n<\/p><\/div>\n

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