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objecting to features

Graydon Hoare graydon

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objecting to features
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Supporting examples 90 words (9 examples @ 10 words each)
Elevator pitch 50 words
Positioning statement 35 words
Headline benefits 24 words (3 benefits @ 8 words each)
Mission statement 20 words
Brand pillars 15 words (3 pillars @ 5 words each)
Target audience 15 words
Brand promise 10 words
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graydon / devanagari.txt
Created April 6, 2019 05:28 — forked from Manishearth/devanagari.txt
devanagari breakdown
common stuff
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Basic consonants(32):
कखगघङचछजझटठडढणतथदधनपफबभमयरलवशषसह
Weirdo that only is used in ligatures, but necessary(1)
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graydon / bel-eve-vr.md
Created January 27, 2020 23:06 — forked from wtaysom/bel-eve-vr.md
A Review of Paul Graham's Bel, Chris Granger's Eve, and a Silly VR Rant

Hello Friends,

This elf begging to climb onto the web for Christmas began as a personal email, a review of Paul Graham's little Lisp Bel. He sprouted arms, legs, and in gingerstyle ran away. Arms for symbols, legs for conses: these primitives are the mark a Lisp — even more so than the parenthesis. What do we get when we remove these foundation stones: naming and pairing?

No pairs. No cons. No structure. Unordered. Chaos. Eve, a beautifully incomplete aspect oriented triple store. No need for legs when you can effortlessly transport to your destination. Lazy. Pure. Here and now, a retrospective.

No symbols. No names. No variables. Combinators. Forth. No need for arms when you can effortlessly push and pop your stack. No words. A world without words. Virtual worlds. Virtual reality. Space. Time. Motion. Action. Kinetic Programming, a proposal.

I apologize in advance. Checking my pocketwatch, I see I haven't t

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graydon / LLM.md
Created March 29, 2023 03:59 — forked from rain-1/LLM.md
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.