A Calm Look at Where AI Is Going
What is genuinely changing in machine learning, and what has stayed exactly the same since 2015.
Between the hype and the floor
Models are getting faster and cheaper. What has not changed: without a well-defined problem, no model helps.
Where it works today
Summarising, drafting and classifying text with a human reviewing the output. Those three cover most of the value teams actually capture this year.
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