Exactly.

English, French, and German Whites each have distinguishing facial features if you are experienced with them.

It's the racists who are less attuned to the small differences in phenotypes.

Why did they need to innovate? It worked fine before the announcement about Amazon acquiring iRobot and their user data.

One guy is breeding hundreds girls with models he plans to marry off to oligarchs

Another wants a male army to combat the feminists

Yes, but the refrain "writing is thinking" is very popular among writers, which tech bros can use to argue that LLMs think.

My interest is AGI claims and "writing is thinking" interpreted literally is misinformation about cognition that currently fuels the AI bubble.

I'm pointing out that the statement "writing is thinking" has ambiguity that can be used to support the common assumption among tech bros that LLMs can think because they can produce written text.

Geoffrey Hinton also gave the example of humans being more efficient, powered by a slice of toast versus LLMs requiring copious amounts of energy.

It's obvious to me that LLMs are not the optimal way to produce syntactically correct sentences. Humans do it more computationally efficiently.

How are billions of neural network weights white box access?

And LLMs don't explain how humans learn language. Humans are hardwired to learn language generally and learn a specific language with comparatively few examples. They also learn word meanings from real life social and visual contexts.

Writing isn't thinking. It's downstream from thinking.

(Writing might feel like thinking because you can observe your thoughts from an outside perspective and view them critically.)

It probably means they are compensated in both equity and cash, and they are increasing both components to retain talent.

Alt text is not just another image. It is text. Blind users use text-to-speech software that verbally sounds out the words in the alt text with a robotic voice.