John's AI blog

Intro I've experimented now for about a year with giving ChatGPT tasks. The below criticisms apply to ChatGPT 4o . I recently got access to ChatGPT 4.5 which is better at coding and following instructions (it at least takes the instruction to give steps one at a time, seriously, whereas ChatGPT 4o almost always ignores that). However, 4.5 is more grumpy in tone. I found o1 and o3 not great either, so I keep going back to 4o. Anyway, so far my primary concern is that I can see that within a year or two, this thing will be able to do most of what I can do. It certainly makes my work more efficient. The bad Anyway, this is what 4o is bad at: Making, interpreting, processing, editing spreadsheets. You have to convert the spreadsheet to CSV first (you lose all formulas and charts). It is ok at interpreting small data sets, e.g. 20-30 bits of simple information e.g. amount of money spent per month, with each month listed. It's no good at, for example, creating a Nett Present Value...

Install coqui (see other post here:  https://johnsaiblog.blogspot.com/2025/03/coqui-going-down-how-to-install-before.html ) Now if you save your discussion into a text file, called full_conversation . txt , in this order: speaker 1 blah blah blah speaker 2 blah blah etc etc (ie one speaker per line, no multi-line sentences), you can split the file up into sections of speech to convert to speech. Make sure each sentence is approximately 250 letters or less. Shorter is better. This script creates a folder called conversation_parts / which contains the conversation split up by speaker and by sentence.  import os import re # Input and output folder input_file = "full_conversation.txt"   # The full transcript output_folder = "conversation_parts" max_length = 250   # Maximum characters per chunk # Ensure output folder exists os.makedirs(output_folder, exist_ok=True) # Function to split text into manageable chunks def split_text(text, max_length=250):     sentence...

 Sadly, coqui.ai is going down. It's a Text to Speech tool using python and other things. It breaks and downloads tons of dependencies if you try just installing it with pip, it's better to use conda. There is a docker option but that wants to download like 7gb of garbage.   Check that dependencies like espeak-ng and ffmpeg are installed. Installer script 1, probably won't work #!/bin/bash # Exit on error set -e echo "   Starting Coqui TTS installation..." # Ensure Miniconda is in PATH export PATH="$HOME/miniconda3/bin:$PATH" # Create and activate the Conda environment echo "   Creating Conda environment 'coqui' with Python 3.10..." conda create -n coqui python=3.10 -y source activate coqui || conda activate coqui # Install Coqui-TTS and dependencies echo "   Installing Coqui-TTS..." pip install --upgrade pip pip install coqui-tts # Install espeak-ng for phoneme-based synthesis (needed for some models) echo "   Installi...