nashadelic

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

rubberhose cryptography makes another comeback!

I really like this simplification

Wow “RAD” is such a throw back. Everything is now RAD with AI, we need to bring back the term.

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)

I've never engaged with their support (I have dedicated POC), but they don't use AI for their support?

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.

Dropbox is a $6B product, just no second act

whats even more confusing is that the Middle East Palantir team is almost all Chinese ¯\_(ツ)_/¯

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.

they invented MCP, Skills, made these standards open so anyone could build the harness around them.

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.

hyperbolic but it might be safe to assume any local data on a connected device is going to be accessible.

I pay upwards of 200/yr for storage, the free Gmail is a funnel to revenue for them and I reckon it’s very profitable

Yeah it’s “the world is becoming machine coded” and “we’re reducing by 30%” at the same time, like they don’t believe in their own words

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

Whats funny is that nearly every major desktop app and feature has come out on macOS first and windows has nearly always been an after thought

additional humor is the open in openai

if we're being serious, they made bets on instagram, whatsapp and now manus and are great 2nd, 3rd and 4th acts even if external.

if you just believe the title of that book, you can justify any action against the makers of AI. plot of so many sci-fi to send someone back in time to kill the creator of ai

Whoa, when did they come out with JA3?

wow, the pi version looks... better v. cc?

Your take is brutal but spot on

And they had hundreds of engineers reverse engineer the GUI smh

Why? Imagine the frontier labs lobbying for a ban on using "chinese ai" for commercial use in america

something about Bill Gates telling Steve Jobs he didn't steal from him, he stole from their rich neighbour Parc

I'm very curious about how much of it is re-using (remixing?) an existing browser implementation it has seen in the while or its trained on. Even in that case, 99% of all code isn't doing anything novel so this copying would still have significant practical use.