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jcims

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jcims at crandal.org

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Yeah if the lower 48 states (~2800 miles) span the width of my entire screen (2560px), each pixel represents just over a mile. The satellites at that level were rendered with dots that are ~3px or just over 3 miles/.1% of that width.

The Starlink v2 is 100ft on it's longest dimension. This means that the actual size of the satellite relative to the dot is on the same order of magnitude (.6%) as the dot is to the size of the US when it takes up my entire screen.

The Vespa at 80 18 days ago

What a goofy comment.

Pedestrians are *also* subject to right-of-way rules, just like everyone else on the road. Many examples of people running between parked/stopped cars and getting smoked when they hit an open lane with a vehicle they did not expect to be there.

Not the driver's fault.

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.

Great comment!

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.

Very cool idea.

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.

It's probably not going to be an auto-rejection, it's just going to sit in a queue that looks like this

    Screened Applications [13]
    Unscreened Applications [39148]
Will It Mythos? 29 days ago

Same. I still say please and thank you as well. It's not for the LLM, it's for me.

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.

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.

I just did some analysis on this last weekend, in 2024 there were roughly 100 CVEs published every day. In April we hit approximately 200 per day.

Going backwards from 2023, the doubling interval for published CVEs was approximately 4 to 4 1/2 years. Since then it’s approximately two years.

There has definitely been a rapid uptick.

How is this post two hours old and I don't see any references to Project Farm:

https://www.youtube.com/c/projectfarm

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.

Do the whole "too dangerous to release" shtick.

One aspect that isn't really discussed much in this context is how to wrap one's head around the corporate risk with models of ever increasing capability. It might not be too dangerous to society, but it could be too dangerous to Anthropic.

Seeing Birdsong 2 months ago

I can’t say for certain but I’m nearly positive I’ve seen ads for this on Facebook or Insta or something like that.

The number one thing for me would be to standardize methods to implement soft failures. Minimally in standard clients and libraries the ability to warn when certs are nearing expiration. Cert extensions to declare lifecycle expectations and possibly even warning endpoints for notification. Basically some way to empirically look at a valid cert and know something is wrong before it fails.

There are all sorts of potential privacy/security issues with any feature built in this area so it would have to be done carefully, but I think useful improvements could easily be made.

I just find it incredible that in 30+ years the industry hasn't adapted one bit to the brittle failure modes of certificates. I did some subcontract work with Verisign to deploy their CA infrastructure back in the early oughties and it felt like a solution was overdue way back then. I was at Google in the teensies when gmail broke due to expired SMTP certs. WAAAY overdue by then. Here we are, a decade later and it's still the same lol.

Tested Amazon Linux 2023 and it doesn't appear to be vulnerable in the default configuration. Would be interested if anyone finds anything different.