Yes, contradicting the claim that it’s “more objective”.
Yes, contradicting the claim that it’s “more objective”.
I was pretty desperate for a job at that point and didn’t even tell him what a fucking idiot he is.
But it’s all good, I landed another job with roughly 60% higher pay. Two interviews, one 20min for screening, and a second one 1h with higher ups. They did ask me to prepare and present a case to them for the second interview. But I was fine with that, I could tell they are serious.
Applied for a job with a 6 tier interview process for an entry level support position. Tier 2 was a 45(!!!)min assessment test. Queue level 3 were we spend 20min discussing the results. The 20min end with the interviewer telling me they filled the position the day before but he wanted to give me the courtesy of a talk about the test anyway. What . The . Fuck. You wasted both of our time?!
Moon wen? 🚀🚀🚀
While correct in the sense of word and versioning via mail being a nightmare, I really don’t think you can expect anyone to learn latex just so they can comment in your document. I would have offered to send a pdf. Shoot me.
Are you giving out a license for all your posts? Are you following up on the usage or is it more of a symbolic act?
That’s a dick way of saying fuck off but I mean they do provide a free service. If they have a vision and don’t want to deal with random people whining about it that’s their prerogative. Same as yours to find that utterly insufferable.
Geminis answer: LLMs cannot perform the computations needed to find a SHA-512 hash with specific characteristics. This requires specialized hardware and software designed for brute-force calculations.
ChatGPT: Yes, getting an AI to solve a problem like finding a SHA-512 hash with 12 leading zeros would indeed take a significant amount of computational time and resources. This is because it would require brute-forcing through a vast number of inputs to find one that produces the desired hash, which is a computationally intensive task.
Finding a SHA-512 hash with 12 leading zeros involves iterating through possible inputs and hashing each one until you find a hash that starts with 12 zeros. This is a classic example of a proof-of-work problem, similar to what is used in cryptocurrency mining.
Here’s a Python script that demonstrates how one might go about attempting this task:
import hashlib def find_hash_with_leading_zeros(target_zeros): target = '0' * target_zeros nonce = 0 while True: input_str = f'{nonce}' hash_result = hashlib.sha512(input_str.encode()).hexdigest() if hash_result.startswith(target): return nonce, hash_result nonce += 1 # Example: Find a SHA-512 hash with 12 leading zeros target_zeros = 12 nonce, hash_result = find_hash_with_leading_zeros(target_zeros) print(f'Nonce: {nonce}') print(f'Hash: {hash_result}')
Running this script can take a very long time, especially as the number of leading zeros increases. The number of possible combinations grows exponentially, making it a time-consuming process.
To actually implement this in a controlled and efficient manner, specialized hardware (like ASIC miners used in cryptocurrency mining) would be required. This is beyond the capabilities of typical general-purpose CPUs and would indeed tie up computational resources for a significant amount of time.