Fake tracking numbers are a common occurrence in scams now. Somehow the scammers are getting access to a database of real time legitimate tracking numbers, they wait until there’s a shipment in their database going to the same city as the buyer, and then use that tracking number to claim that they shipped the package. Maybe they’re paying a real merchant for access to their shipping database? Or are UPS tracking numbers short enough to brute force?
Higher frequency means smaller and therefore lighter transformers, which is very important on aircraft. Nowadays a DC voltage supply would be better, but DC to DC voltage converters didn't exist when the 24V 400Hz standard was created.
For mains voltage we use 50-60 Hz because lower frequencies work better with very large AC generators in power plants and, and lower frequencies are more efficient to transmit long distances.
Right I intentionally left off Step 1 from that chart to simplify the explanation, since it didn't seem necessary. Is Step 1 just for creating the ChatGPT content blocker?
The way they went from GPT-3 to ChatGPT is really quite genius. My understanding is that it's something like this:
1. Start with GPT-3, which predicts the next word in some text and is trained on all the text on the internet
2. Take thousands of prompts, generate several responses for each of them, and have human reviewers rank the responses for each prompt from best to worst
3. The GPT model needs a massive amount of training data, it would be cost prohibitive to get enough human feedback to fine tune GPT manually. So you train another model, called the reward model, to predict how the humans will rate each response. Then you train the GPT model against the reward model millions of times
5. Feed a small percentage of the output from that training process back to the human reviewers to continue training the reward model, based on heuristics like reward model uncertainty which predict how helpful the human feedback will be towards improving the reward model
6. Release ChatGPT to the public, and use user feedback like response upvotes/downvotes to further optimize the reward model, while continuing to train ChatGPT against the reward model
A friend's 18yo brother was motorcycling in the mountains with their father, crashed and broke his femur. Ambulance would have taken hours, they had helicopter rescue insurance, but the only helicopter company that operated there wouldn't take it. Got a $25k bill for the helicopter ride and negotiated down to $16k iirc.
One theory is that the crypto quant funds figured out how to exploit the Alameda FTX market maker starting in 2020-2021 to take tons of money from Alameda. But FTX couldn't just turn off the Alameda market maker because most of the FTX trading volume, and therefore FTX revenue, was these crypto quant funds taking money from Alameda. So if they turned off the Alameda money spigot then their revenue would drop off a cliff and they wouldn't be able to raise more money from Sequoia or the UAE. And the value of FTT was tied to the trading volume and was a huge portion of their assets, so if volume fell they would be insolvent.
Basically they turned customer deposits into revenue at pennies on the dollar.
Yeah fair. But I think that any gc language for microcontrollers should have a couple features:
1) A compiler flag or similar optional static check that throws a warning if you have dynamic memory allocation. In scripting languages it can be easy to do accidentally
2) A way to block the gc from happening in a time critical section of code, like how you can disable interrupts
3) Some guarantee on the maximum time gc will take