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Comment Re: Definition of car vs SUV (Score 1) 254

It's not an SUV unless it can comfortably go up an old logging road with exposed rocks embedded in the road and many potholes, on a mountain.

A Pathfinder was an SUV, as was a Forerunner, or a Range Rover.

These new "SUVs" (grocery getters, kid soccer transporters) are a marketing joke that we all seem to have accepted. Those are cars. with a slightly more upright seating position.

Comment Re:look ma, (Score 1) 69

OFC this actually exists: magic Bean Coin. It was an inflationary coin (holding coins generated more coins). I met one of the developers a few years ago. He was a really smart thoughtful principled guy. Just chose a really weird goal to throw himself into and not much formal economics education (but lots of "alternative economics"). I just checked first time in a decade, the 24 hour volume was like six bucks and the project webpage is gone

Comment Yes, AI is thinking (Score 1) 289

The transformers used by LLMs discover and encode the relationships between words IN HUMAN THOUGHT EXPRESSIONS. The multi-layer nature of the deep neural net into which the transformers encode these relationships results in increasing levels of abstraction of the relationships being encoded in different layers of the neural net, along with the ways and strength that each more abstract relationship-aspect is involved in each more particular relationship. By focus on contextual relationships that humans attend to in their communications, and by having the ability to capture abstract aspects of the relationships, the LLM is effectively learning a semantic network of the concepts that words and word sequences utttered by humans represent. The carefully hierarchically organized and represented statistical properties of human syntax (when averaged over many many uttereances so as to ignore accidental, non-essential differences in expression) ultimately result in a usable (cheaply associatively tourable) representation of the semantics (MEANING) behind human communications. i.e. a general and specific knowledge base has been represented in the deep neural net.

It is then possible to design and implement various query-driven and goal-directed associative touring algorithms to visit the concepts in the knowledge base in appropriate touring orders (nearby concepts are nearby in the neural net representation, more general ones are "above", more specific ones are "below") so that we could say these algorithms are thinking abouit the queries and appropriate answers to them.

Comment Re:No complaints (Score 2) 69

... and in Texas, you are getting it very hot in the summer and suddenly freezing cold in the winter and with insufficient electricity grid and rapidly diminishing water resources and increasing political strain with your biggest trading partner and a rising culture that is proudly pro-faith and anti-science

Jesus fuck you could not pay me to move there

Comment Re:At last. (Score 1) 69

Think about it for a few more seconds with your engineering hat on. The use case Bitcoin is designed for is peer-to-peer electronic cash. Internet money transfers, with no central authority.

That has two parts:

  1. Internet money transfer
  2. No central authority

Number 1 has been a solved problem for over a decade now. Between credit cards, ApplePay/Venmo/PayPal/CashApp/etc etc, cash transfer over the internet is virtually instantaneous and acceptably small cost.

Number 2 is of absolutely no interest to governments. They want a central payments authority, the ability to sanction, reverse, etc etc.

Crypto is an attempt to solve a usecase that governments do not have

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