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
Let me make Local AI easy for you
Give Codex Cli the article below & tell it:
- Infer the right Inference Engine from your hardware + article below
- Use uv+venv
- Pick the right kernels
- Tune flags, batching, KVCache, etc
- Optimize for your hardware & chosen model
See? Easy
@TheAhmadOsman Guess what! I asked my agent yesterday to find the absolute best way to maximize Tokens Per Second (TPS) while running Claude Max supervision.
The move? It actually went out and scraped your x and repository to optimize itself.
@TheAhmadOsman@sudoingX When is the discord? I have so much to ask during my 0 to Hero journey and may be may regularly share my milestones. I started with 1 3090ti, just got the second 3090ti and am now deciding on a new motherboard and stuff, etc.