Recent submissions

Comment · 3 months ago
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
Comment · 3 months ago
rubberhose cryptography makes another comeback!
Comment · 3 months ago
I really like this simplification
Comment · 4 months ago
Wow “RAD” is such a throw back. Everything is now RAD with AI, we need to bring back the term.
Comment · 4 months ago
Compiled agents: http://squig.com/

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)

Comment · 4 months ago
I've never engaged with their support (I have dedicated POC), but they don't use AI for their support?
Comment · 5 months ago
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.
Comment · 5 months ago
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.
Comment · 5 months ago
Dropbox is a $6B product, just no second act
Comment · 5 months ago
whats even more confusing is that the Middle East Palantir team is almost all Chinese ¯\_(ツ)_/¯
Comment · 5 months ago
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!
Comment · 5 months ago
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.
Comment · 5 months ago
they invented MCP, Skills, made these standards open so anyone could build the harness around them.
Comment · 5 months ago
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.
Comment · 5 months ago
hyperbolic but it might be safe to assume any local data on a connected device is going to be accessible.

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