It’s also surprisingly reliable given the physics of it all. I built a house out in the country in 2007 and 10Mbps DSL was all that was available for terrestrial connectivity up until literally yesterday.
The DSL would go down for hours a couple of times per month. I got on an early starlink pilot program and had a dish up in early 2021. Aside from momentary blips on the leading edge of a stormfront and occasional network issues a couple of times per year, it’s been rock solid with half the latency and 20x the bandwidth.
>I thought was kind of the most fascinating part of the damninteresting article was the revelation that the evolved programs were inseparable from the single physical FPGA used in the training.
100% agree with this!!! It gave me this weird feeling the first time i read it, like the onset of some alien intelligence. xD
I definitely think a simulator is the way to go, but I'm guessing tools like that could find problems and edge cases in the simulator that nobody thought to test for.
I'm just glad they still have the article up. I bet I've shared it 50 times over the past 20 years lol.
I'm sure this can be annoying when people do this, but I can't help myself lol. I wonder if you could operate in a different modality and find discontinuities in material properties rather than use it as a classifier. For some reason skin cancer detection popped into my head, but general purpose inspection/detection cases for any discontinuities might be pretty helpful. Depending on the resolution/size of the field it's inspecting a realtime camera overlay might be interesting for correlation sake.
I've noticed that more and more of my mental attention while speaking is observing the words that come out of my mouth rather than 'generating' them. I split time between rough pathfinding in my mind to fit a conceptual framework then kind of sit and listen as it comes out to think about how they sound. If I had to guess this happens on a 1-2 sentence chunk at a time.
I wonder how much the concept of 'roles' in an LLM is a artifact of the technology vs. a projection of our own human limitations into the training data.
I've recently switched from nearly 30 years in cybersecurity roles into a platform role and I can feel the switch in how I approach problems. They wind up being framed against different priorities and constraints, and it feels like something that's just part of how my mind works.
Good consideration but I still think there’s an uptick. This is all AI generated as I’m not in a spot to do anything more at the moment but this is a chart of ‘linux kernel’ CVEs rated as high/critical correlated with NVD.
Hammer faces would work (def wear goggles!!!). Hit the face of the disposable one with a mixture of hydrogen peroxide, vinegar and salt and wait an hour.
One of the best review channels for products in this area. I moved from DeWalt to Milwaukee for most of my daily drivers about six years ago and have been very happy with them, but for things I will rarely use I tend to go with whatever Harbor Freight is selling. If I break it then it's time to upgrade.