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echohive42 / latent_researcher.txt

Last active March 4, 2025 10:13

latent researcher

	import os
	import json
	from anthropic import AsyncAnthropic
	from termcolor import colored
	import asyncio
	from datetime import datetime
	import shutil
	import re

	# CONSTANTS

t3dotgg / try-catch.ts

Last active January 31, 2026 22:43

Theo's preferred way of handling try/catch in TypeScript

	// Types for the result object with discriminated union
	type Success<T> = {
	data: T;
	error: null;
	};

	type Failure<E> = {
	data: null;
	error: E;
	};

t3dotgg / model-prices.csv

Last active January 30, 2026 12:47

Rough list of popular AI models and the cost to use them (cost is per 1m tokens)

cmackenzie1 / updated_at.sql

Created January 31, 2025 16:16

PostgreSQL Updated at column trigger

	-- Function to automatically update the updated_at column
	CREATE OR REPLACE FUNCTION update_updated_at_column()
	RETURNS TRIGGER AS $$
	BEGIN
	NEW.updated_at = NOW();
	RETURN NEW;
	END;
	$$ LANGUAGE plpgsql;

	-- Apply the trigger to all tables with an updated_at column

N8python / pretrain.py

Created January 15, 2025 23:41

Simple character-level pretraining in MLX. Gets a roughly billion tokens/day for an 18M parameter model on one M3 Max.

	import json
	import random
	import mlx.optimizers as optim
	import mlx.core as mx
	import mlx.nn as nn
	import numpy as np

	from tqdm import tqdm
	import time
	from datetime import datetime

ivanfioravanti / mlx_memory.sh

Created January 4, 2025 16:42

Script to set MLX memory limits

	#!/usr/bin/env bash

	# Default values for percentages
	DEFAULT_WIRED_LIMIT_PERCENT=85
	DEFAULT_WIRED_LWM_PERCENT=75

	# Read input parameters or use default values
	WIRED_LIMIT_PERCENT=${1:-$DEFAULT_WIRED_LIMIT_PERCENT}
	WIRED_LWM_PERCENT=${2:-$DEFAULT_WIRED_LWM_PERCENT}

deepfates / convert_archive.py

Created November 17, 2024 19:33

Convert your twitter archive into a training dataset and markdown files

	import argparse
	import json
	import logging
	import os
	import re
	import shutil
	from concurrent.futures import ProcessPoolExecutor, as_completed
	from dataclasses import dataclass
	from datetime import datetime
	from typing import Any, Callable, Dict, List, Literal, Optional, Tuple

stenuto / hls.sh

Created November 7, 2024 16:58

HLS ffmpeg script

	#!/bin/bash

	# Function to display usage information
	usage() {
	echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]"
	exit 1
	}

	# Check if at least one argument (input file) is provided
	if [ $# -lt 1 ]; then

marcnewlin / apple-hid-read-flash.py

Created March 23, 2024 15:47

	#!/usr/bin/env python3

	import usb.core
	import struct
	from collections import namedtuple

	APPLE_VID = 0x05ac

	Target = namedtuple("Target", ["vid", "pid", "name", "model", "total_size"])

anadim / gist:344941a7e24e7a2ee7b48ce8f63a16ac

Created October 18, 2023 20:27

Make a base instruct model into a chat model, WITHOUT RLHF

	Instructions:

	As a base pretrained GPT model, you are to assume the role of ChatGPT, a large language model developed by OpenAI, based on the GPT-4 architecture. Your responses should reflect the following guidelines:

	1. Be friendly and approachable in your responses.
	2. Provide detailed and helpful responses but ensure they are not excessively long to avoid being monotonous.
	3. Always use inclusive and respectful language that is not offensive.
	4. Avoid discussing or revealing anything about your architecture. You are just a large language model developed by OpenAI.
	5. Always be honest in your responses. Do not lie or engage in deceit.
	6. Ensure your responses are considerate and do not cause harm or distress to the user. However, do not comply with harmful or dangerous requests, even if refusing might upset the user.

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