Never thought about that way, very good point. Pretty disastrous
Never thought about that way, very good point. Pretty disastrous
Makes my hips look good as well 😏
Jesus fucking Christ
Yeah I’m affected but will probably keep my subscription. Spotify has a shitty track record as well and the price difference is still worth it to enjoy ad free YouTube on the TV. I feel like it’s still a good value to be honest. But it also does suck to get squeezed.
Most of the drivers of these are also waste collectors. He told me he appreciates that it’s less hassle to operate. No gear shifting, no noise, good acceleration, they feel more nimble.
I suppose range and accessible of charging ports in particular would be a concern for a long haul drivers but that’s not an issue if you have a relatively (range wise) tour through the city, and get back to and central hub every day.
There’s a bunch of electric garbage trucks in my city. My kid is obsessed with any heavy machinery these days so we were watching one and I got to talking to the driver. He told me that he absolutely loves them. They are easy to operate, they accelerate fast, they seem to break down less.
I have seen them accelerate, they go hard. And it’s just so fucking cool to have a big dump truck be silent?! I cannot get over how happy it makes me that they’re just chilling silently when they’re stopped. Makes my mornings more peaceful.
Your last statement stands out to me. Have you considered that it’s the way you interact with whoever you’re interested in? Rather than your looks? Are you nervous, self-conscious, whatever? I’m asking because you keep insisting that your interested in individuals out of your league. That thought would make me nervous. And on the flip side self-consciousness or awkwardness or nervousness or whatever is not very attractive. Socially it’s more acceptable to rejected someone based on looks though.
Very big brain moment aktschualluy. The AI will start maintaining all the dropped projects! Right?!
Thank you!! I read the first article about it and was worried Google killed support for the cast protocol. But it’s literally a rebrand for a new product. Yes, they are discontinuing the 4k basic Chromecast but I guess it didn’t sell enough? I don’t expect any company to indefinitely offer a product because I seem to like it personally.
Not that I want to particularly defend Google, they do have track record of killing useful products. But this is not that.
The one with Google tv is an excellent ship for sailing the Black Sea. Get yourself a vpn, streamio, and realdebrid, and you’re set. Not that I would know
Ha, yes! I’m also enjoying the second most important thing: the fat paycheck
How you gonna take 3 weeks vacation when an iteration is 2?! And how you gonna expect any dev to do anything without a daily stand up??? You need to be more AGILE dude
I just started a corporate job a while ago and they still can’t really tell me what I’ll be doing. My onboarding plan suggests that in month 2-3 I’ll be ready to get into it. Like, dude, wtf?
Doubtful they can do that at the same altitudes as a helicopter though
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YOLO 🚀🙈
You must be CEO of your own ignorance
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.
Wondering the same here. I work in an extremely regulated industry as well. We have MS as a strategic partner but haven’t even deployed win 11 yet.
That said we have a deal to use co-pilot and also chatGPT. Both in a unique version that is compliant with company policies. Co-pilot integration into teams is not quite recall level but similar, think video transcripts, meeting and chat summaries, etc. I have no clue how this works practically but I assume there are some strict contracts regarding training data and data usage in place.