The video discusses the role of algorithms in shaping our digital world. It explains that algorithms are responsible for the content we see online, the prices we pay, and even the decisions made by banks and stock markets. The video also delves into the concept of algorithmic BOTS, or bots that are built using algorithms.
The speaker describes how these BOTS are created. Initially, they are built with random instructions, and then a teacher BOT tests them. The BOTS that perform well are kept, while those that don't are discarded. This process is repeated multiple times, leading to the creation of a BOT that can perform a specific task, such as recognizing images.
The speaker also emphasizes that while humans can understand individual lines of code or clusters of codes, the wiring in the BOT's head is incredibly complicated and beyond human comprehension. This complexity is a result of the random changes made to the BOT over time.
The video concludes by stating that while we use tools that we don't fully understand, we are increasingly in a position where we are used by tools that no one, not even their creators, understands. The speaker encourages viewers to like, comment, and subscribe to the video to help the BOTs learn and improve.
1. Algorithms are used on the internet to bring content to users, such as videos and tweets.
2. The algorithm decides what a user sees when they search through their photos.
3. Algorithms are used to set prices and detect fraudulent transactions at banks.
4. Algorithms are used in the stock market for trading.
5. Algorithmic BOTS are used to shape the world, especially when they don't understand how they work.
6. Algorithmic BOTS are built by giving them instructions that humans can explain.
7. Many problems are too big and hard for a human to write simple instructions for, which is why BOTS are used.
8. There are billions of financial transactions per second, and billions of videos on YouTube.
9. Algorithmic BOTS are used to answer questions, not perfect answers, but much better than a human could do.
10. Companies that use these BOTS don't want to talk about how they work because the BOTS are valuable employees.
11. The brains of BOTS are a fiercely guarded trade secret.
12. To get a BOT that can recognize what is in a picture, you don't build it yourself. Instead, you build a BOT that builds BOTS.
13. The Builder bot builds BOTS, but it's not very good at it at first. It connects the wires and modules in the BOT's brain almost at random.
14. The teacher BOT tests the student BOTS. The student BOTS that survive are just lucky.
15. The builder BOT keeps the best and discards the rest.
16. The student BOT is very good at exactly only the kinds of questions it's been taught.
17. The teacher bot can't teach all the human overseer can do is give it more questions to make the test even longer.
18. Companies are obsessed with collecting data, more data equals longer tests equals better BOTS.
19. The net me tube algorithm selects videos based on the BOT and the user data it had access to.
20. The human overseers direct the teacher bot to score the test that's what the bot is trying to be good at to survive.
21. The student bot gets to be the algorithm because it's point one percent better than the previous bot at the test the humans design.
22. There are tests to increase user interaction or set prices just right to maximize revenue or pick the posts from all your friends you'll like the most or articles people will share the most or whatever.
23. If it's testable, it's teachable.
24. We are increasingly in a position where we use tools or are used by tools that no one not even their creators understand.
25. We can only hope to guide them with the tests we make and we need to get comfortable with that as our algorithmic bot buddies are all around and not going anywhere.