AI by Hand
byhand.ai
August 14, 2026
1 min read
🔥🔥🔥🔥🔥
56/100
Summary
AI by Hand focuses on teaching math, algorithms, and architectures through hands-on techniques. Prof. Tom Yeh leads the initiative, which has garnered over 73,000 subscribers.
Key Takeaways
- The article emphasizes the importance of understanding algorithms and architectures in AI development.
- Prof. Tom Yeh advocates for a hands-on approach to learning AI concepts through practical application.
- The platform has over 73,000 subscribers, indicating a strong interest in AI education.
Community Sentiment
Positives
- The deep-dive video on Qwen 3.6 has viewers excited, as it promises to unravel the inner workings of the model, which is crucial for understanding AI's complexities.
- Commenters appreciate the 'by hand' approach to learning AI concepts, highlighting its effectiveness in bridging the gap between theory and practice.
- The sharing of projects like the NumPy deep learning library demonstrates a collaborative spirit in the community, emphasizing hands-on learning and experimentation.
Concerns
- Some users are frustrated with the subscription barrier, feeling it hinders access to valuable content that should be freely available for learning.