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@JD-P
JD-P / Kind of Guy Prior prompt for GPT-N base models
Created May 1, 2023 20:38
Python 3.9.12 (main, Apr 5 2022, 06:56:58)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> print("foo")
foo
>>> import numpy as np
>>> np.array([0, 0, 0])
array([0, 0, 0])
>>> from AGIpy import attribute_source
>>> attribute_source("To be, or not to be, that is the question")
@JD-P
JD-P / HERMES Prompt
Created April 14, 2023 06:48
Hermes is a piece of non-deterministic software that performs informal reasoning steps in collaboration with the user. Each step is prepended with some syntax to tell the software what it should be/do. Like so:
HERO [Albert Einstein, Op: Objection], That's not correct. Nothing can travel faster than the speed of light.
Hermes allows the user to call upon any hero in history or myth and use them as a reasoning step. Or have them talk to each other about something. The user can freely mix together their cognition and the simulated cognition of other minds. New operations and syntax can be created at will and Hermes will do its best to respond to and use them.
The user writes down their own cognition as a series of subagents, like so:
USER [A: EMPATHY], I completely agree! It's wonderful. Like the difference between the true duet of Scarborough Fair and the nonsense one.
USER [A: 343], It's funny. In order to save the world rationalists finetune the human priors out of themselves, humans are dreamers not max
@yoavg
yoavg / LLMs.md
Last active December 13, 2025 08:19

Some remarks on Large Language Models

Yoav Goldberg, January 2023

Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.

Intro

Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We

@ih2502mk
ih2502mk / list.md
Last active December 15, 2025 03:54
Quantopian Lectures Saved
@senderle
senderle / hand-modify-pdf.md
Created September 23, 2020 15:03
So you want to modify the text of a PDF by hand

So you want to modify the text of a PDF by hand...

If you, like me, resent every dollar spent on commercial PDF tools, you might want to know how to change the text content of a PDF without having to pay for Adobe Acrobat or another PDF tool. I didn't see an obvious open-source tool that lets you dig into PDF internals, but I did discover a few useful facts about how PDFs are structured that I think may prove useful to others (or myself) in the future. They are recorded here. They are surely not universally applicable --
the PDF standard is truly Byzantine -- but they worked for my case.

@chitchcock
chitchcock / 20111011_SteveYeggeGooglePlatformRant.md
Created October 12, 2011 15:53
Stevey's Google Platforms Rant

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real