dgemm

If AI comes for the trades it seems like it will not be via robots but instead by leveling up all of the DIYers and lower skill handyman types allowing them to troubleshoot/build/fix more than they were capable of before.

They were free in TTC stations.

I find it hard to imagine nvidia's moat not drying up - the hyperscalers already have more cost effective silicon and the AI labs already use a mixture of all the capacity they can get their hands on.

The strongest moat I see is ownership of training data - an area where Google seems to have a clear edge

They bill you per output token.

Never heard of work louder, but it sounds like an idea I used to joke with coworkers about, around making a clickly keyboard with an amplifier and speaker to passive-aggressively demonstrate how annoying the clicky keyboards are in a high density office environment.

They won't necessarily map out all the circuits but they will generally test them all with a tester to find wiring problems.

Becoming increasingly convinced that the pattern that will stick is not AI "integrated" into everything but personal agents. As in I will have one personal assistant that helps me in all of my tasks instead of using the little ones bolted on to every product.

Similar - had an HVAC tech out to diagnose mine (some intermittent electrical problem was killing thermostats randomly) and since it was intermittent they couldn't figure it out. I ended up using Gemini to narrow down a list of potential problem components and just replacing them all which fixed the issue.

Kind of a superpower to turn anyone with a bit of tech inclination and problem solving skills into an HVAC tech - not a very good one, but one with enough motivation to get the results you need

Kinda tired of being inundated with low quality AI slop absolutely everywhere.

Same - 13" macbook screen becomes less functional when you fill it with padding.

State of the art 7 months ago is good enough for a lot of use cases.

I think a lot of usage will move to the cheap open weight Chinese models once there is an incentive to do that. Everything below the highest end frontier models are becoming commoditized and I suspect the commodity segment will pass the "good enough" bar for most applications.

This seems true for our moment in time but looking forward I'm not sure how much it will stay that way. The LLMs will inevitably need to find a sustainable business model so I can very much see them becoming enshittified similar to google eventually making 2) and 3) more similar to each other.

It's a forcing function that ensures the middle layers of a vertically integrated stack remain market competitive and don't stagnate because they are the default/only option