Musa Molla

What if AI frameworks worked like flight systems, not magic tricks?

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Think about it.
When a pilot takes off, they don’t hope it’ll work.
Every system has a checklist. Every fault has a fallback.

But in AI?
We still “deploy and pray.”

The model hallucinates → we shrug.
The agent crashes → we retry.
The data drifts → we patch and move on.

Somewhere along the way, “fragile but flashy” became normal.

When we built GraphBit, we borrowed from aviation, not automation.

  • Deterministic execution

  • Redundant state systems

  • Circuit breakers instead of blind retries

It’s not about making AI smarter, it’s about making it airworthy.

So here’s the question:
If AI systems had to pass a “flight test” before production, what would your checklist include?

- Musa

Try Graphbit here: github.com/InfinitiBit/graphbit

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Sanskar Yadav

Love this analogy! So if AI had a flight test, my checklist would include: state persistence after every step, clear rollback points, automated diff checks for output consistency, and a human-in-the-loop failover when confidence drops.

Abdul Rehman

If ML had a flight test, step one would be:
Can this system recover without a human holding its hand?