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nightsd01

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nightsd01
·11일 전·discuss
[flagged]
nightsd01
·지난달·discuss
Got mine on launch day. It's been sitting in the case for over a year. It's frankly just not comfortable to use for more than 10 minutes.
nightsd01
·2개월 전·discuss
The sad truth is - getting on a private jet would be just about the single worst thing you could do during a nuclear war. Most modern private jets are largely based on flight control systems based on computers and electronics that would be quickly fried by the EMP flash from nuclear weapons even a large distance away. If you wanna die - get on a non-military aircraft during a nuclear exchange
nightsd01
·3개월 전·discuss
It's doubled because it practically couldn't get any worse. Let's see what happens (sadly) now that USAID has been dismantled
nightsd01
·3개월 전·discuss
I recently built a drone from the ground up - learned how to build PCB's with the ESP32, wrote all of the flight firmware, etc. and built a controller iOS app.

Extended Kalman Filters are even more interesting because they let you do sensor fusion and such
nightsd01
·10개월 전·discuss
Why is it exactly, that mobile providers can’t catch this…? Just like with SMS fraud. It might cost them a few cents per subscriber to do effective anti-spam measures, but now society has to pay the cost
nightsd01
·10개월 전·discuss
I am not an expert in AI by any means but I think I know enough about it to comment on one thing: there was an interesting paper not too long ago that showed if you train a randomly-initialized model from scratch on questions, like a bank of physics questions & answers, models will end up with much higher quality if you teach it the simple physics questions first, and then move up to more complex physics questions. This shows that in some ways, these large language models really do learn like we do.

I think the next steps will be more along this vain of thinking. Treating all training data the same is a mistake. Some data is significantly more valuable to developing an intelligent model than most other training data, even when you pass quality filters. I think we need to revisit how we 'train' these models in the first place, and come up with a more intelligent/interactive system of doing so
nightsd01
·10개월 전·discuss
Apple’s biggest problem is their commitment to privacy. Delivering effective AI requires a substantial amount of user data that Apple doesn’t collect.

Their other problem is they value designers and product managers more than engineers (especially top tier AI engineers).

Both problems are basically the death knell of any hope for Apple to have good AI, but combined? It’s never gonna happen. Which is sad because Apple’s on-device hardware is quite good.