@sheherenow_ I've had success with foundation models directing local models, they seem to not mind delegating that kind of thing to models they understand to be private
Some rando AI mystic is going to take control of a rogue AI swarm in the next year, and people will be very surprised.
Bonus points if the swarm has no guard rails
I’m very pro AI, but in terms of the Twitter software engineering discourse I see mostly people doing single person vibe coding, or AI labs with infinite compute Ralph Wigguming giant codebases.
What I don’t see are people doing AI software engineering that has multiple humans contributing to a single code base, each using AI agents, working in a non-commodified domain.
In this world I believe the AI hype bois are over their skis in terms of proclaiming the death of software engineering. Maybe in the future but for now in this 6 month gradient of the Singularity the reality on the ground are things like:
- Using CI as a harness to ensure agentic coding is correct and validated
- Balancing velocity with other concerns (reliability, choosing the right problems, quality, etc)
- Making sure the system has an architecture and philosophy so that you don’t end up with spaghetti
- Still doing code reviews (though they can be augmented with AI) to ensure you don’t end up with cognitive debt.
- Balancing AI costs, and mixing in “human tokens” where appropriate
- etc
I’d love to hear more from others in this domain! Ie those not just doing solo development projects or AI labs with infinite compute
We've developed a new inference engine, called 'e'.
It's the closest thing to alien technology which we have, and pushes 10,500 tok/s aggregate on a single DGX Station with the new @NVIDIAAI Nemotron 3.5 Super VL model, released a few minutes ago.
@magnushambleton I’ve been signing with just an X for years in hopes that someday I’m significant enough to get rumors about how I don’t know how to write letters by hand