If various military groups are already publicly saying that they relied too heavily on ai, then I'd hate to see what the group with the pertinent resources and the culture of absolute secrecy is getting up to.
3,653 karma · joined January 12, 2012
If various military groups are already publicly saying that they relied too heavily on ai, then I'd hate to see what the group with the pertinent resources and the culture of absolute secrecy is getting up to.
They antagonise each-other most of the time, but they also support each other in times of stress. If one goes to the vet and the other doesn't, the initial reaction is hissing and being a dick. Then, after a few minutes, it's licking and comforting.
I don't like to anthropomorphise too much, but they definitely look out for each-other. Equally, they definitely annoy each-other.
My goto example for this is Hilti powertools. They can (and have) made some of the best tools in the game, but they now make most of their money from companies going the "fleet" option, where, for a monthly fee, tools can be replaced almost immediately when they fail. The result of this is tools that work brilliantly for a short time but are non-field-repairable, and aren't really designed to last any more.
Economic incentives beat engineering ability.
I'm up to my 3rd prototype of a device that combines GPS with TERCOM style algorithms using a bunch of sensors for use in areas that have terrible GPS coverage (initial use was canyoning). Hopefully, when I receive the samples, I'll have ironed out most of the hardware faults!
I've also just (sort of) finished a TinyGo version of firmware that runs on a cheap Adafruit board in combination with Gaudi Lab's OpenThereminV3 shield to provide MIDI theremin capabilities for live music performance. That one is available at https://github.com/intermernet/theremin if anyone wants to play with it.
I'd love to know the algorithm they're using for this. Fuzzy search seems like it was a mostly solved problem 20 years ago, and it's definitely worse than it was 10 years ago.
When did Apple dominate? I'm not trying to hate on Apple here, but there's this weird belief that Apple have had a lead in personal computer OS market share at some point in the last few decades, and it isn't really true since about 1984.
You can argue that they should dominate, but that doesn't seem to have happened.
I made one purchase on Amazon while connected to a VPN.
Amazon froze my account and demanded proof of identity.
Amazon don't accept an existing photo of primary ID for their preferred ID verification check, it must be a photo taken by a camera on-device, and I don't have a webcam on my desktop PC. Once you select the secondary method, it seems you can't go back to the primary.
My bank can't issue a statement on the mobile app.
My bank, even through the website, can't issue a statement that has the required details (name, credit card details - blanked except for last four digits, and transactions) that includes pending transactions.
I had to manually request a statement from my bank (via a phone call) that included the pending transaction, edit it in an image editing app, submit it to Amazon via their web-site.
None of the apps (bank, Amazon, government ID, camera) had the flexibility to solve the problem.
The root cause was using a VPN to make an online purchase of a $12 piece of hobby electronics.
Not only are apps broken, the current state of the internet (and the random ways companies try to enforce "security") is also broken.
1. The Guarantee: A Smooth Sweep Across Flatland 2. The Surprising Part: Existence Does Not Help You Find It 3. Why the Obvious Answer Fails: The Center-of-Mass Trap 4. It Gets Stranger: The Ham Sandwich Theorem 5. How I Turned the Math into a Game 6. Why This Is Harder Than It Looks
At least there's nothing loadbearing about it.
I still don't know which huge part of the training corpus led to this style. It had to be something massive that I never interact with in real life. Maybe marketing presentations? Pitch meetings? LinkedIn posts?
Where did the LLMs start to learn to talk like this? Are there actual examples from the pre-LLM era that anyone can point to that resulted in this style of output?
https://onlinelibrary.wiley.com/doi/book/10.1002/97813942771...
I did this as an experiment on my current project and it found a bunch of minor, non-critical, but completely valid problems with my deisgn.