AI Fundamentals Updated
- Dennis Hulsebos
- 24 sept
- 3 Min. de lectura
For over a year, AI development seemed to revolve around refinement rather than reinvention. Each new release promised improvements: lower latency, smoother interfaces, more expressive conversations. It gave the impression of rapid progress, but underneath, the same foundation remained in place. GPT-4 was still the model powering it all, even when presented under new names like GPT-4 Turbo or GPT-4o. What changed was mostly how the model was delivered, not how it was taught.
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