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ISKRA experiment 02_10_2024-1 - "Defeat the Minecraft creeper" [reupload]

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ISKRA experiment 02_10_2024-1 - "Defeat the Minecraft Creeper" Hello everyone! In this post, I will describe my recent and first public ISKRA Project experiment. I have conducted some experiments before, but I believe they are not worth publishing. Let's consider this one the first official ISKRA Project experiment. Let's begin with the description of it. I've built an installation in Minecraft Bedrock Edition: This was the starting point and viewport of our AI: The goal of the AI was to defeat the Creeper by using a set of pre-defined control commands: W - move forward 1 block S - move backwards 1 block A - strafe left 1 block D - strafe right 1 block P - place a brown dirt block in front of you R - destroy block in front of you F - punch to attack/fight The commands P and R were never actually implemented since they were unnecessary for this experiment. The Creeper was trapped in a structure to prevent...
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Some updates (04.2025)

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Hello everyone reading this! As you've likely noticed, I haven't been active whole last month. I would like to apologize for that. I was just very busy with other, more important things.  I however have lot of other new stuff worth sharing, such as AR glasses for which I am developing a control library, brainwave reader (brain-computer interface) which I also have yet to write software for because the original doesn't really work, and I got an RTL-SDR and I have been trying out radio recieving. My goal is to recieve and decode a photo from a weather satellite, which I hope to manage to do soon. I also hope to finally do and describe next AI-related experiments (ISKRA series), as well as some tutorials that I promised (such as offline GPT training). I also should return to solving mystery of the green platform in LEGO Indiana Jones 2, I honestly forgot about it. Small part of readings from the brainwave reader Barely visible photo transmission from NOAA 18. Sadly too poor to...
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Making ChatGPT capable of video analysis - part 2 - adding speech recognition and more

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Hello. In this follow-up, we will continue development of the solution to let ChatGPT describe videos. In my approach, the video is split into fragments and then these fragments are turned into "comics". Then, every fragment gets described and all the descriptions are sent to the master AI agent, which interacts with the user.  Since the last post, I updated the code to make it more modular and move AI processiong out of initalizer: from moviepy.video.io.VideoFileClip import VideoFileClip from PIL import Image import os import easyapiopenai from WojSafeAPI import * #My own library for loading API keys safely, you cannot use it. class Video_ChatGPT: def __init__(self,openai_api_key:str, video_path: str, time_between_frames_seconds: float, frames_per_scene: int, process_audio=True, frame_height = 480, watcher_model='gpt-4o-mini',master_model='gpt-4o', watcher_token_limit = 500, master_token_limit=15*10...
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