Made a simple agent harness (Similar to Claude code) in golang with some help from Codecrafters' Build-your-own-x
Was a fun and quick project, and got to learn about many interesting things, from how to make clis in golang, to implementing agent loops with persistent memory
Do check it out, link in the comments
Day 16-17:
Assignments and case studies, assignments and case studies
Assignments and case studies
I probably should just restart this series cos so far it's just filled with me spamming through assignments๐ญ๐ญ
Interesting bio from a 17 year old Dario
- multiple time USAMO qualifier, 2nd at BAMO, Physics olympiad camper, Sumac
- Calc BC as a freshman, Real Analysis, Abstract algebra in high school (back in late 90s/early 2000s, where acceleration was much rarer)
- sub 5 mile time!
brutal IQ mog
Day 16-17:
Assignments and case studies, assignments and case studies
Assignments and case studies
I probably should just restart this series cos so far it's just filled with me spamming through assignments๐ญ๐ญ
Day 15/85:
Gave my compiler quizzes and project reviews
Then spent like 4 hours writing the most useless case study by hand๐ญ๐ญ
Started a bit of pytorch, I'm thinking of going top down in learning deep learning this time.
Somehow the absolute embodiment of buffonry ended up in my os project team
Girl said that she would explain the ml part, proceeded to not know what a train-test split, config file or even *CSV file* is ????????
Wtf๐ญ๐ญ๐ญ
She also didn't know how to git fork and I taught her yesterday
I hate when my marks get reduced for factors out of my control๐ญ
If someone still asked me what they should learn and invest all their energy in, Iโd probably say maths, physics, computer science, and even hardware.
Even in the peak AI era, these fields are becoming increasingly important. Energy, resources, efficiency, integrated circuits, mathematics everything is going to make sooo much sense in the future.
I think the world is heading towards a new transition, where we might actually see flying cars, futuristic buildings, and even those Iron Man suits, haha.
The future feels so real because the surface area for experimentation is expanding so rapidly. It demands more intellectual people than ever before.
Game theory teaches: never enter a game you havenโt studied. Never show your hand before the money is on the table. And never play to be liked. Play to build so much leverage that the rules eventually stop applying to you entirely. Most people lose not because they are outworked but because they are outplayed. They do not understand the game they are in, they reveal too much too soon and they care more about approval than position. Learn the game first. Move quietly. Build until you have enough leverage to write your own rules.
The problem isnโt that AI is intelligent. It isnโt. The problem is that too many adults (but not all) are at once mechanistic, imitative, unimaginative, stupid, formulaic, influenceable, & gullible, arrogant beyond their skill set, & too expensive to maintain.