In other words, whatever they did was seen through the best light, described in the terms of the best parts of the present and the best promises of the future, and given credit as if it had already happened.

This is, as they’ve found, a double-edged sword. When journalists will believe (and print) whatever you say, they’ll start believing that the real thing (LLMs) does the same thing as the imaginary future thing (AGI, ASI, golden egg-laying geese), or will do so, even if that thing is bad.

...

In fact, the very concept of a slowdown runs contrary to everything that the AI industry needs. If NVIDIA is to sell $670 billion or more GPUs in Fiscal Year 2028 or, per analyst expectations, Anthropic and OpenAI are to spend more than $444 across Google, Microsoft and Amazon in the next three years, or Broadcom is to sell nearly $600 billion in AI chips in the next three years, both Anthropic and OpenAI must keep and make their $1.3 trillion in compute commitments and support the development of 10GW or more of capacity, all of which requires them to continue accelerating at a dramatic pace.