hyperpallium2

aka Cobblers children have no shoes. Anthropic profit less by selling it.

I think algebra too - it requires less understandng than geometry. You operate at a higher level, and in a sense, don't really know what you're doing.

Geometry existed for centuries before Euclid's formalization. Similar for algebra before Al'Khwarizmi. People were using logic before Boole.

"External Intelligence" is not new. But we are still in the informal stage of LLM use.

Because there's no moat for such companies.

But I like the implied hype-conspiracy that models aren't so good. Let's see post-IPO!

Omitted title payoff: But it's something AI can never do.

Disruption. Digital getting killed is what prompted Christensen to write The Innovator's Dilemma.

IANAP but any philosophy based on absence is a nihilism

dreams are false data

prefer semantic abstraction even when it creates duplication

This beaurcratic development feels like turning a super-tanker that's connected to a hundred other super-tankers. While I accept the priority of back-compatibility, I personally lack the working memory to manage it, while creative problem-solving.

The non-nullability issue seems to be about performance, not cognitive load (search the article for "writes atomically"), though not articulated.

Bloom's 2 sigma problem solved at last! But that's overestimating LLMs, our zeitgeist.

AI can't detect AI, not because AI undetectable, but because it lacks judgment. Its shtick is random generation; the proverbial monkey on a typewriter.

Fewer features = smaller frame, easier to satisfy, better customer targeting.