@TheAhmadOsman: People keep asking me why do I focus on fundamentals instead of agents or shiny products Shortcuts don’t compound - Mod…
Summary
Ahmad Osman argues that focusing on AI fundamentals (architectures, inference, memory, hardware, latency) is more valuable than chasing short-lived agents, products, or frameworks. He promotes his Local LLMs series for learning local AI.
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Cached at: 05/26/26, 10:57 PM
People keep asking me why do I focus on fundamentals instead of agents or shiny products
Shortcuts don’t compound
- Models are still improving
- Agents come and go
- Frameworks churn
- Products age fast
- We don’t know what the next-gen models unlock
Fundamentals stick
Architectures & models Inference Memory Hardware Latency Failure modes
When you understand the stack end-2-end, you can build anything on top
- Agents
- Products
- Companies
- Labs
When you don’t, you’re gluing demos together hoping the abstraction doesn’t crack
I’m not optimizing for the next launch I’m optimizing for the next decade
Ahmad (@TheAhmadOsman): Don’t know where to start with Local AI?
Read my Local LLMs From Zero to Hero series
It covers:
- Hardware
- Software
- Models Mechanics
- Everything else necessary
Needs no prior experience
Easy to understand for any background
Local / Opensource AI FTW
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