Welcome to the interactive tutorial on how to use side-effect "operators" in MobX! Over the course of the next three samples, you'll learn (and be able to explore) exactly how autorun, when and reaction work, and when/why you would use them when building reactive applications.
Sam Parker Sambosis
Sambosis
/ contemplative-llms.txt
Created
January 11, 2025 06:36
— forked from Maharshi-Pandya/contemplative-llms.txt
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
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| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
Sambosis
/ crypto-gsheet-populator.py
Created
May 31, 2024 02:49
— forked from rhettre/crypto-gsheet-populator.py
I built this script to populate trades made in any trading pair available on Coinbase Pro or Gemini into a Google Sheet so it would be easier to track trades, profitability, and cost basis. This could be extended to other exchanges. See https://www.youtube.com/watch?v=hutDJ-FVatw for full explanation.
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| import json | |
| import gspread | |
| import time | |
| import sys | |
| import base64 | |
| import hashlib | |
| import hmac | |
| import urllib.request | |
| import requests | |
| from datetime import datetime, timezone |
Sambosis
/ interpolate.py
Created
May 31, 2024 02:27
— forked from cbh123/interpolate.py
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| import os | |
| import argparse | |
| import requests | |
| import replicate | |
| PROJECT_NAME = "photomash" | |
| def interpolate(): | |
| model = replicate.models.get("google-research/frame-interpolation") | |
| version = model.versions.get( |
Sambosis
/ 1 - Intro---README.md
Created
October 1, 2023 02:16
— forked from lostintangent/1 - Intro---README.md
Learning MobX (Side-Effects)
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| import openai | |
| import sys | |
| openai.api_key = "add your key here" #should be an environment variable, but this will do for now | |
| def call_gpt4_api(prompt, messages): | |
| data = { | |
| "model": "gpt-3.5-turbo", #gpt-4 is also possible..but slow | |
| "messages": messages, | |
| "max_tokens": 50, |