AGI is in Alpha

I've been reading about AI in one way or another since 2006. I graduated college in 2014 with a degree in Computer Science and it was around that time that I started to get serious about trying to learn about AI itself. I spent countless hours at night in my 2 bedroom apartment in Orange County, trying to figure out the world of AI. I read countless books and countless papers, I spent a lot of time not only reading but also trying to code all the things I was learning into a few different projects.<br><br>I was so excited to learn about the world of AI. I had studied machine learning at college, but once you venture out into the AI world there is so much more to learn. I had to learn about planning, reasoning, NLP, robotics, and some philosophy. I had to learn about planning and that planning was important, but I had to learn what planning is and there is a lot to planning. The world of planning goes deep. I had to learn about reasoning and how reasoning is different from planning. I had to learn about NLP and that it can be used for reasoning and planning and how to use it to do so. I had to learn about robotics and how robotics worked. I had to learn about philosophy and ethics and how to incorporate that into my AGI system.<br><br>In the end after 10 years, I had a system that was completely useless. I could not get my system to do anything. I tried to make it reason. I tried to make it plan. I tried to make it do anything. I tried to make it understand NLP. I could not do anything. I could not figure out how to integrate everything together and make a system that could do anything. And I was not alone. Every other researcher at that time was having the same problem. We were all trying to figure out how to integrate everything together and make a complete system. And we all failed, every single one of us failed miserably.<br><br>I took a break from all of it in 2014 and then started again in 2018. I started again from the beginning with my project. I rewrote everything and tried to do better. I tried again to integrate everything together. At first we were doing better. I had a few things working and I had some success. Finally some real success. But then I hit another wall. I could not figure out how to integrate reasoning into my system. I would stare at lines of code for hours at a time trying to figure out how to do something. I would stare at lines of code for days trying to figure out how to do something. I was stuck. I could not do anything. But then I had a breakthrough. I figured out how to integrate reasoning into my system and I had a working AGI system. I then had an AGI system that was working. I could then have it reason and plan. I could then have it understand NLP. I could then make it do all the things I wanted it to do. I now have a complete working AGI system. I have a complete AGI system that is fully integrated. It is a complete AGI system that can reason and plan and understand NLP.<br><br>I have a complete AGI system, but it is not perfect. It is not perfect and I still have work to do. It is an Alpha, and I call it an Alpha. I am letting companies use it now though and a few companies have been using it. They have been using it successfully. It is not perfect and it does not work 100% of the time. It works most of the time but it is far from perfect. I call it an Alpha because it is an Alpha. It is not a beta, it is an alpha and it is a big milestone to have an Alpha. It is a big milestone to have a working AGI system that is integrated completely. It is a big milestone that I have been trying to get to for almost 20 years.<br><br>Just because we have an Alpha, it does not mean that it is ready for mass adoption. It is not ready for mass adoption. It is not ready for the average person to use. It is close though. It is very close. Once it is running good, then we can think about mass adoption.