It’s depressing how the tech ecosystem works as a self-reinforcing cartel against workers for statusquo preservation. Yes, it’s rational from the tech industry as a whole’s POV, there’s little to no chance a single individual can really stand against such machinery
It takes your instructions, write a versioned spec, then generates a hybrid workflow of code+LLM calls and protects it with tests/evals
The result is that the agents run much faster (90% of it is code), cheaper (LLM steps are scoped tightly and uses smaller models) and reliably (specs get turned into coded state-machine)
The only real way to see this if you have consistent evals for common usecases in your B2B SAAS product and see if the tricky usecases are being solved. You'd then go down to the cheapest model that can solve the evals.
Dropbox has deep integration ecosystems, runs your company's data, I think its a no-brainer for it to become the agentic memory for your company if done right with it syncing data across all company services.
There are so many research papers; just finding a solution to, say, a bio problem in a deep math paper would be a gold mine of opportunity. Very exciting times!
I've been thinking about this and I believe the best place to be is a scientist who keeps looking at an AI's output, prods it in the right directions, verifies the proofs, fixes and fills gaps, takes the proof to production with safety, risks etc mitigated and then distribution with a company wrapped around the discovery. I think it wouldn't be black-boxed as much and will require a lot more understanding and reviewing to trust and productize it.
couldn't an llm be used for verification like we're seeing some OSS projects do? Some projects are moving so fast, its almost certain there's little human involvement.
As AI takes over first drafts of code, science, and creative work, the leverage shifts toward those who can validate discoveries and ship them into the world