Agreed. The limitations of human context window and communication bandwidth restrict the complexity of large-scale software.
LLM will have an extremely large context window and extremely high communication bandwidth in the future. Therefore, even more complex large-scale software will emerge.
"Maybe I should consider transforming my woodworking hobby into a profession."
As an AI optimist, I think all forced labor should eventually be done by AI. People can then spend their time pursuing their own hobbies. Just as many people still play Go after AlphaGo appeared, because they genuinely love the game.
In the future, coding may return to being an art form. People will no longer focus on utility alone, but instead on the enjoyment of the process of writing code itself.
Many behaviors are determined by hormones. Men are no exception. When calm, men tend to prefer intellectual women, but when they're impulsive after drinking in a bar, they prefer sexy women.
Great work! I really hope it can be designed to be agent-friendly. The current CodeX/Claude code sandbox functionality is very limited; it would be wonderful to use this as a sandbox.
Yes, I realize how easily language can be manipulated.
For example, when some people in high positions enjoy privileges, politicians will defend them by talking about their contributions, and the topic shifts from privileges to contributions. Similarly, when a few bad people emerge from a certain ethnic group, politicians will constantly emphasize these few bad people to negate the entire ethnic group and call for action against the group. The most crucial factors should be whether contributions and privileges are commensurate, and the degree of correlation between the ethnic group and individual events. But nobody discusses this.
When I use Codex/Claude to complete a computer vision task, such as extracting assets from an image, OpenCV is their default solution. However, I believe that using YOLO and other methods is outdated. The best solution now is to directly use Nano Banana or other AI image models. A paper has proven that image generation models can perform most CV tasks well. I believe the new OpenCV should become a wrapper for VLM or AI image models.
LLM will have an extremely large context window and extremely high communication bandwidth in the future. Therefore, even more complex large-scale software will emerge.