You're the foreman/factory manager. You can optimize the factory over time upgrade machines, place machines closer or add conveyor belts for more productivity.

The only think that slightly worries me is that the Labs are clearly incorporating the best in class logic from their datasets.

Also it's missing the point of a software factory concept

A software factory will not work infinitely forever for everything. A software factory isn't a solve anything button (aka god).

In a conventional factory, things break and fail. Process machines get poluted. Extruders get jammed.

You still need to establish intent, define what you care about, define guardrails, and of course manage the factory.

I think the critical thing you will need to explain is durability and loss window. Making some guarentees on failure modes would go a long way towards making me believe i can run operations on something like this.

With AI you should be able to do some exhaustive testing both for load, power loss, server loss, etc. Anxious to see the potential results

This is completely different than asking for general medical reasoning which is more derived from papers, public standards and textbooks.

Text exists at the right scale but images don’t.

https://libeigen.gitlab.io/

Though you can expect very verbose compiler output. (I had 35 pages of compiler output output for a single type error once). Probably Nbd with llms.

My hunch is that Opus scale models probably have shortcuts encoded into the model that handle these ambiguities cases, wheres this model has learned a program to reason through the edge case (crystalized vs fluid intelligence). Remembering that probablity (frontier) vs calculating it on the fly (vibethink)

Some reference code if you want to throw your agent at it. https://github.com/rapatel0/rq-models

150M is small in comparison to the 20B he overpaid by. Investors were well compensated.

The RyanAir CEO was even quoted that he expected some tickets to be come "zero-fare" Link: https://www.theguardian.com/business/2016/nov/22/ryanair-fli...

The point stands, airlines don't make money on flights. Flights are loss leaders.

So if they tend to compete themselves into oblivion, or need to turn into banks to subsidize their product, then it might make sense that they should be regulated monopolies.

Still you're probably right, if they can turn into banks and stay profitable, then maybe that's a better market outcome overall.

I'm not saying that this a better outcome (power companies have their problems too). I was just commenting that this issue parallels the historical solution that was applied to utility companies.

Unless this initiative will turn into a credit card company (which nobody likes or wants to do) it won't go anywhere

Private equity will likely sell the company for parts. There is no operational improvements for cash flow that they can do.

Useful watch (skip to 2:20): https://youtu.be/ggUduBmvQ_4?si=cyysP7aH_CIEDZRq

"Before SpaceX, launching rockets was costly because industry practice used expensive materials and discarded rockets after one use. Elon Musk applied first-principles thinking: What is a rocket made of? Mainly aluminum, titanium, copper, and carbon fiber. Raw material costs were a fraction of finished rocket prices. From that insight, SpaceX decided to build rockets from scratch and make them reusable."

Everything including humans are made of cheap materials but that doesn't convey the value. The AI got close to the answer with it's first sentence (re-usability) but it clearly missed the mark.