For me, I find the most productive time is when I work without any connection to the internet. It helps me focus my energy on thinking and planning, reduces my temptations to randomly check things online, not chat, and waste time. This only works if you are a knowledge or office worker. I go so… Continue reading Work in airplane mode as often as you can
Month: January 2022
“The EOS Life” book review
Gino Wickman has a book called “The EOS Life” that I just finished reading. I love his writing style and have devoured most of his books and processes. If you read any of his other EOS (Entrepreneur Operating System) books, a lot of the material will be familiar to you. He basically takes the EOS… Continue reading “The EOS Life” book review
Dealing with politics at work
I finally can write about a colleague I dealt with a few years ago. I’ll call him Billy. I wanted to write about it because it was the first time I had to deal with politics and it impacted some of my work. So here are my lessons and things I learned from working with… Continue reading Dealing with politics at work
Log of Machine Learning work and experiments
Learn to say no to yourself
My personality test results
I’ve taken a bunch of personality tests over the years. I don’t necessarily agree with the results, but here they are in case you want to work with me 🙂 Myers Briggs test results: INTJ The “architect”, supposedly its the same type as Elon Musk and Arnold Schwarzenegger, I’ll take that 🙂 Strength Finder results:… Continue reading My personality test results
Big Unsolved areas in artificial intelligence and AGI
Turning any one of the ideas listed below into computer algorithms would improve our understanding of the mind and bring us closer to AGI. how the mind focuses and can have attention on specific things how the mind is able to store invariant amodel representations of concepts how the mind can time travel how the… Continue reading Big Unsolved areas in artificial intelligence and AGI
Ideas to encourage more people to work on AGI
AGI is a hard problem, so there are not a lot of people working on it. The majority of people working on it are in universities or research institutes. Some random ideas to encourage people to work on AGI: publish a book on AGI create an integrated school for teaching AI related courses (neuroscience, computer… Continue reading Ideas to encourage more people to work on AGI
A computational definition of understanding
Computer scientists and researchers constantly argue on whether a computer can ever understand anything like humans. One of the main reasons for the confusion is because the definition of “to understand” is not clear enough to implement in a computer.From the Merrimack dictionary, “To Understand ” means: to know the meaning of (something, such as… Continue reading A computational definition of understanding