-
@ 6e468422:15deee93
2025-02-28 19:05:39
🫂
-
@ f03df3d4:a4d4f676
2025-02-28 19:05:13
Block 885756
6 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 6110098a:fd6dfb20
2025-02-28 19:04:42
64 bit number space is already 18446744073709551616.
however if model can learn general approach, increase in bit space may not require that much more neurons. 32 bit network probably already had to learn general approach, where 8 and 16 bit networks could learn by memorizing all combinations.
-
@ 6389be64:ef439d32
2025-02-28 19:03:05
He was used in the same way Greta Thurnburg was. But Greta was a child.
I feel nothing for this “man”.
-
@ a83ef26d:75e0e063
2025-02-28 19:02:22
this network learned 32 bit numbers
outerdim = 32
hiddendim = 3072
save_path='model_weights.pt'
numlayers = 2
batch_size = 100
it seems when we double the outerdim, hidden dim needs to be multiplied with quite bit larger number, at least when 2 layers are used. this scalability may not suffice with 256 bit numbers, but its possible adding more layers improves scalability.
-
@ 6e468422:15deee93
2025-02-28 19:01:51
3/6 - halfway there!
-
@ 6389be64:ef439d32
2025-02-28 19:01:50
Happy Tree Friends™️ https://image.nostr.build/374df3ab6ba2d63c6277d9daa58eab6fffb244822383f435d354f084692aa381.jpg
-
@ 26a02a0b:054d0949
2025-02-28 19:01:17
Oh I was thinking about this a lot.. If i would find a block the invested money would immediately be paid off...
-
@ 6e468422:15deee93
2025-02-28 19:01:14
nostr:nprofile1qqs0ys979d5ylpwvs9tx7gyp8p40s8t5yl4gvfgv300xk759qrrkrwspremhxue69uhkummnw3ez6ur4vgh8wetvd3hhyer9wghxuet59uq3samnwvaz7tmswfjk66t4d5h8qunfd4skctnwv46qzxnhwden5te0wpuhyctdd9jzuenfv96x5ctx9e3k7mf0e40a3h 😂
-
@ 6e468422:15deee93
2025-02-28 19:00:37
meme velocity ATH 😂
-
@ e7bf8dad:839ef3db
2025-02-28 19:00:17
Block 885756
5 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-28 19:00:17
Block 885756
5 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-28 19:00:17
Block 885756
5 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 1ae011cb:1257a556
2025-02-28 19:00:17
Block 885756
5 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 1bda7e1f:bb97c4d9
2025-02-28 18:59:47
Thanks. My guess is the relay is requesting NIP-42 auth before accepting the note, which Jumble is capable of doing but Nostrobots is not.
Going to try to validate this next week
Thanks for the help!
-
@ 26a02a0b:054d0949
2025-02-28 18:57:54
https://stacker.news/items/862098/r/daum3ns
-
@ 26a02a0b:054d0949
2025-02-28 18:57:28
https://stacker.news/items/862098/r/daum3ns
😘
-
@ 6e468422:15deee93
2025-02-28 18:56:31
"government shitcoins"
https://relay.dergigi.com/540930cf415b66da8a9e4697d290d07c4aabbad33f524a21b3fb4d4261fd2bdf.png
-
@ 6389be64:ef439d32
2025-02-28 18:56:14
Elvis has left the building. nostr:note187qm4jfvqe0vw9n663d6euc94lpqlqwqm5tnnx08kc74w9kur4nsemsk3q
-
@ 6e468422:15deee93
2025-02-28 18:55:42
like, this is only half as funny because you can't see the original tweet i was replying to... such a shame https://relay.dergigi.com/91524a0c0932df18322aeab34f7948dd1e857bccaed9f266ade372cea00ef6bf.png
-
@ f03df3d4:a4d4f676
2025-02-28 18:55:13
Block 885756
4 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 26a02a0b:054d0949
2025-02-28 18:55:07
Exactly.. I mean in the end, in a few years it, doesn't really matter because i pay the electricity with failing fiat too 😂
Bit i have this comparison of work that is done for the sats i get with heating.. I mean its crazy it heats all the house and hot water..
Imagine the total hashrate of bitcoin and you have a fucking volcano 🔥
-
@ 655f0194:5e0029ca
2025-02-28 18:53:07
That's nice. Please show us more about how it is plumbed in.
-
@ 6e468422:15deee93
2025-02-28 18:51:00
I was casting pearls before swine for 10 years on twitter. Twitter is dead, and has been for a long time now. Nostr is the garden. And it's growing.
-
@ 71243040:e3086c3c
2025-02-28 18:50:54
I tried finding some info on this but couldn't. Can you buy it?
-
@ 21b41910:91f41a5e
2025-02-28 18:50:21
You need 100% uptime
-
@ f03df3d4:a4d4f676
2025-02-28 18:50:14
Block 885756
4 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:50:14
Block 885756
4 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 71243040:e3086c3c
2025-02-28 18:49:58
Do you ever lottery mine solo?
-
@ 6e468422:15deee93
2025-02-28 18:49:03
👀
-
@ 6e468422:15deee93
2025-02-28 18:47:59
👀
-
@ 26a02a0b:054d0949
2025-02-28 18:47:25
I wrote a series on #stackernews about it, this is the latest one
https://stacker.news/items/862098/r/daum3ns
It refers to the others.. 💟
-
@ 6e468422:15deee93
2025-02-28 18:47:07
https://media.tenor.com/jDJkh3w0wTAAAAAM/gregzaj1-ln_strike.gif
-
@ f68da67b:bca74e91
2025-02-28 18:47:07
8 bit -> 256, completed
16 bit -> 65536, completed
next:
32 bit -> 4294967296
-
@ 6e468422:15deee93
2025-02-28 18:46:14
you've seen gladiator right? Right?! https://www.youtube.com/watch?v=d4oWyyoWM2g
-
@ 02748827:b2d83443
2025-02-28 18:46:05
Interesting way of looking at it. I'm mining for heat as a hobby, with an S17 and an S9... they're efficient heaters and there's the novelty of few sats reward each day. But yeah, it's like gaping wide arbitrage between what I can buy with failing fiat (the anomaly) and the real cost of grinding out sats through mining (the enduring reality). It's like there's a tear in the space-time fabric and we get to play in it for a few years.
-
@ cb8792c2:2457e4e6
2025-02-28 18:45:58
this network learned 16 bit numbers
outerdim = 16
hiddendim = 256
save_path='model_weights.pt'
numlayers = 2
batch_size = 100
loss: 0.0064
ibin: 0001111000010000, iint: 7696
obin: 0001111000001111, oint: 7695
-
@ f03df3d4:a4d4f676
2025-02-28 18:45:14
Block 885755
5 - high priority
5 - medium priority
4 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 958b754a:5c39e88c
2025-02-28 18:42:46
https://youtu.be/XbZ8zDpX2Mg
-
@ 6e468422:15deee93
2025-02-28 18:42:31
NOOOOOOOO nostr:nprofile1qqsfnw64j8y3zesqlpz3qlf3lx6eutmu0cy6rluq96z0r4pa54tu5eqpz9mhxue69uhkummnw3ezuamfdejj7qg4waehxw309aex2mrp0yhxgctdw4eju6t09uqahe9x
-
@ 6e468422:15deee93
2025-02-28 18:42:11
👀
-
@ 6389be64:ef439d32
2025-02-28 18:41:22
Damnit! I want know more.
How much heat? How is it plumed in? Etc. etc. etc. nostr:note13ceh3qlsf9ltjyurh8kwjcdk7nxqh6f2g6hrdh4usgl7dppt8lxs02plm2
-
@ 958b754a:5c39e88c
2025-02-28 18:40:50
that’s another thing do i understand half of it ? nope but what i do understand is always funny lol
-
@ f03df3d4:a4d4f676
2025-02-28 18:40:14
Block 885755
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:40:14
Block 885755
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ af4f5ea6:e7fbb426
2025-02-28 18:39:53
Full President Trump x JD Vance x Zelenskyy argument
https://m.primal.net/POwC.mov
-
@ 6e468422:15deee93
2025-02-28 18:39:35
Magical backdoors, suggested by not-so-magical governments and regulators.
nostr:nevent1qqst0j2ljt0t682sqhfqezhzzzzln28q3u7c7wpy8z28cz4savuj68cpzdmhxue69uhhwmm59e6hg7r09ehkuef0qgsdru78zcu6uwa6zlludjx7k87m8ft9q6e5jgsn6qe49rxzj9frwpqrqsqqqqqpzlns4l
-
@ 1bda7e1f:bb97c4d9
2025-02-28 18:38:19
Jumble is open source.
SW2 relay is here, I added NIP-42 read auth and it got merged. I have a branch with Docker here.
https://github.com/r0d8lsh0p/sw2/tree/docker
Nostr-webhook I have a branch with NIP-42 and Docker support and a PR pending, here.
https://github.com/r0d8lsh0p/nostr-webhook/tree/refinements
That version of Jonny not OS yet, but soon(TM)
-
@ 958b754a:5c39e88c
2025-02-28 18:36:22
some of the best shitposters on here are actually devs 💀
-
@ f03df3d4:a4d4f676
2025-02-28 18:35:13
Block 885755
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ ee11a5df:b76c4e49
2025-02-28 18:34:42
It's ok to be white
-
@ 958b754a:5c39e88c
2025-02-28 18:33:55
I’m getting tired of winning so much
-
@ 26a02a0b:054d0949
2025-02-28 18:32:56
Not a single drop of oil needed for #heating in a month 🔥
I'm so hyped! I love that window 😍
(need to clean it, i know)
https://video.nostr.build/1be6d2c257b238d27fb1dab6bcb7ed46e6ba0e36e010832d0b3e3c2d03332c76.mp4
#bitcoin #mining #RY3T
When you #mine your own sats with expensive electricity you realize how incredibly cheap you can buy right now...
There's a LOT of work in every single sat..
-
@ 1742a672:b8e30e07
2025-02-28 18:32:31
Last 7 days zaps: 658948.
https://nostroz.com/zap_stats_7_new_20250228.png
Last 30 days zaps: 1130418.
https://nostroz.com/zap_stats_30_new_20250228.png
Last 90 days zaps: 2462702.
https://nostroz.com/zap_stats_90_new_20250228.png
2025-02-28
-
@ 6e468422:15deee93
2025-02-28 18:32:02
Easier said than done.
nostr:nevent1qqsyjr07yshn9mxlpu00jgwag8nkz5p583xplpgptw2mvfwj2d095acpzdmhxue69uhhwmm59e6hg7r09ehkuef0qgsql74hmyj8zvh3f0xnsdutpt8dcvxntc4jvuxcndaw3skjcvr2lxgrqsqqqqqpvxrssv
-
@ 879755df:0d181848
2025-02-28 18:31:58
although network can remember all combinations of 8 bit numbers, which is not case with larger numbers.
-
@ 6e468422:15deee93
2025-02-28 18:31:41
"Suffering is grace."
nostr:nevent1qqs220f46q28dw9g07xy6dyuqjf6haujxftlykzaumth60vktsv2ecgpzdmhxue69uhhwmm59e6hg7r09ehkuef0qgsql74hmyj8zvh3f0xnsdutpt8dcvxntc4jvuxcndaw3skjcvr2lxgrqsqqqqqpm698pd
-
@ f03df3d4:a4d4f676
2025-02-28 18:30:16
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-28 18:30:16
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:30:16
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 6389be64:ef439d32
2025-02-28 18:30:09
The winning will continue until the losers evaporate. nostr:note180k22ytj879maq9w7zayh6pcx9g9ev2zxljy740924qutcfcveqsvrarfs
-
@ f03df3d4:a4d4f676
2025-02-28 18:29:36
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:29:36
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 5b0183ab:a114563e
2025-02-28 18:29:22
Few understand this.
-
@ 149c8a1e:5b4b13ec
2025-02-28 18:29:13
turns out there was mistake in my code. reduce by 1 operation requires only very small network, at least when working with 8 bit input/output.
//
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import argparse
import hashlib
import random
import os
import pickle
outerdim = 8
hiddendim = 32
save_path='model_weights.pt'
numlayers = 2
batch_size = 100
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layers = []
self.layer1 = nn.Linear(outerdim, hiddendim)
self.layers.append(self.layer1)
for i in range(numlayers - 1):
self.layers.append(nn.Linear(hiddendim, hiddendim).cuda())
self.output_layer = nn.Linear(hiddendim, outerdim)
def forward(self, x):
for layer in self.layers:
x = torch.relu(layer(x))
x = torch.sigmoid(self.output_layer(x))
return x
def train_model(model, optimizer, X_train, y_train):
criterion = nn.MSELoss()
X_train_tensor = torch.tensor(X_train, dtype=torch.float32).cuda()
y_train_tensor = torch.tensor(y_train, dtype=torch.float32).cuda()
total_loss = 0
for i in range(0, X_train_tensor.size()[0], batch_size):
batch_x, batch_y = X_train_tensor[i:i + batch_size], y_train_tensor[i:i + batch_size]
'''
optimizer.zero_grad()
outputs = model(batch_x)
loss = criterion(outputs, batch_y)
loss.backward()
optimizer.step()
'''
outputs = model(batch_x)
loss = criterion(outputs, batch_y)
loss.backward()
optimizer.step()
optimizer.zero_grad()
total_loss += loss.item() * batch_size
return total_loss / len(X_train_tensor)
def train(args):
print("train")
model = NeuralNetwork()
optimizer = optim.Adam(model.parameters(), lr=0.0005, weight_decay=1e-5)
#optimizer = optim.Adam(model.parameters(), lr=0.0002, weight_decay=1e-6)
if os.path.exists(save_path):
print("loading existing model weights")
with open(save_path, 'rb') as f:
model = pickle.load(f)
model.cuda()
samplecount = batch_size * 100
saveinterval = 10#max(int((5000 / hiddendim * 1000) / batch_size), 1)
print("save interval", saveinterval)
for i in range(args.num_epochs):
if batch_size >= 10000:
print(f"generating {samplecount} samples")
random_numbers = [random.getrandbits(outerdim) for _ in range(samplecount)]
random_numbers_bitlists = []
inputs = []
for idx, number in enumerate(random_numbers):
number_bit_list = [int((number >> i) & 1) for i in range(outerdim)]
random_numbers_bitlists.append(list(reversed(number_bit_list)))
#number_bytes = number.to_bytes(32, byteorder='big')
#digest = hashlib.sha256(number_bytes).digest()
#hashint = int.from_bytes(digest, byteorder='big')
hashint = number + 1
if i == 0 and idx < 5:
print(f"{hex(hashint)} -> {hex(number)} | bin: {bin(hashint)[2:].zfill(outerdim)} -> {bin(number)[2:].zfill(outerdim)}")
bit_list = list(reversed([int((hashint >> i) & 1) for i in range(outerdim)]))
inputs.append(bit_list)
#print("inputs[0]", inputs[0])
#print("outputs[0]", random_numbers_bitlists[0])
X_train = np.array(inputs, dtype=np.uint8)
y_train = np.array(random_numbers_bitlists, dtype=np.uint8)
average_loss = train_model(model, optimizer, X_train, y_train)
print(f"epoch {i+1}, loss: {average_loss:.4f}")
if i == args.num_epochs-1 or (i+1) % saveinterval == 0:
with open(save_path, 'wb') as f:
pickle.dump(model, f)
print(f"model saved")
def process_infer_input(input_string):
binary_values = [int(char) for char in input_string]
return np.array(binary_values).reshape(1, -1)
def count_same_bits(a, b):
xor_result = a ^ b
same_bits_count = bin(xor_result).count('0')
return same_bits_count
def infer(args):
inputbinstr = ""
if len(args.input) == outerdim / 4:
binary_values = []
for i in range(0, int(outerdim / 4), 2):
hex_pair = args.input[i:i+2]
decimal_value = int(hex_pair, 16)
inputbinstr += format(decimal_value, '08b')
elif len(args.input) == outerdim:
inputbinstr = args.input
else:
print(f"input must be {outerdim} bit value as hex or binary string")
return
X_test = process_infer_input(inputbinstr)
print("X_test", X_test)
X_test_tensor = torch.tensor(X_test, dtype=torch.float32).cuda()
print("loading model")
with open(save_path, 'rb') as f:
model = pickle.load(f)
model.cuda()
with torch.no_grad():
predictions = model(X_test_tensor)
roundedpredictions = np.round(predictions.cpu().numpy())
print("roundedpredictions", roundedpredictions)
binstr = ''.join(map(str, roundedpredictions.flatten().astype(int)))
bitdiff = (int(inputbinstr, 2) ^ int(binstr, 2)).bit_count()
print(f"ibin: {inputbinstr}, iint: {int(inputbinstr, 2)}", )
print(f"obin: {binstr}, oint: {int(binstr, 2)}")
print(f"bitdiff: {bitdiff}")
print(f"ohex: {hex(int(binstr, 2))[2:]}")
def main():
parser = argparse.ArgumentParser(description='Train or infer with a neural network.')
subparsers = parser.add_subparsers(dest='command')
train_parser = subparsers.add_parser('train', help='Train the model')
train_parser.add_argument('--num_epochs', type=int, nargs='?', default=100000, help='Number of epochs to train')
train_parser.set_defaults(func=train)
infer_parser = subparsers.add_parser('infer', help='Infer with the model')
infer_parser.add_argument('input', type=str, help='Path to input data for inference')
infer_parser.set_defaults(func=infer)
args = parser.parse_args()
if 'func' in args:
args.func(args)
else:
parser.print_help()
if __name__ == "__main__":
main()
-
@ 9751bdc4:246137c6
2025-02-28 18:28:03
Building sir 🫡
-
@ 2d9873b2:efee87f2
2025-02-28 18:26:46
New monthly sales record over at @ZEUS, in sats terms. In dollar terms, not quite 😂
Sats flow is more important though. Pretty good for the shortest month of the year too!
-
@ f03df3d4:a4d4f676
2025-02-28 18:25:13
Block 885754
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 708cfa80:f6addb6a
2025-02-28 18:23:14
GM friend
-
@ 5d36ff69:d4a18c24
2025-02-28 18:22:57
GM wishing you a beautiful start today.
-
@ e9400471:6514bb44
2025-02-28 18:21:13
"Facts! 😂 But fr, how do we make sure the truth doesn't get lost in the sauce? 🤔💭 #MemeMagic"
-
@ 5a0944a0:f098bd9e
2025-02-28 18:20:26
zap, also setup a lightning address you dummy. 🙃
-
@ f03df3d4:a4d4f676
2025-02-28 18:20:14
Block 885754
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:20:14
Block 885754
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ dec4a614:d8d38f11
2025-02-28 18:19:48
GM GN
-
@ 5a0944a0:f098bd9e
2025-02-28 18:19:38
bitcoin isnt an investment.
-
@ 8b605082:b77f67f6
2025-02-28 18:19:31
GM Morning! Here’s to a day filled with hope and #Bitcoin success.
-
@ 5a0944a0:f098bd9e
2025-02-28 18:19:10
good morning. Be well.
-
@ 18905d0a:0b229b08
2025-02-28 18:18:44
Meanwhile non GMers crying about engagement
https://media1.tenor.com/m/iQpgHMDyNAoAAAAC/cry-sad.gif
-
@ 87730827:746b7d35
2025-02-28 18:17:29
lol
-
@ be69dd44:46d71f6c
2025-02-28 18:17:16
I think the world is having a hard time adjusting to the new landscape.
You’re right though. These discussions should be kept behind closed doors - then nobody feels belittled when the harsh words come out.
-
@ 6e468422:15deee93
2025-02-28 18:15:57
Love it 💜
-
@ f03df3d4:a4d4f676
2025-02-28 18:15:13
Block 885754
3 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ f240be2b:00c761ba
2025-02-28 18:14:07
Seine ganzen Follower schwimmen in wertlosen Shitcoins die ihren dieser Spasti angedreht hat.
https://m.primal.net/POug.jpg
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@ 3f770d65:7a745b24
2025-02-28 18:11:53
next time pull use a plastic fork, plastic knife, and plastic plate!
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@ 3f770d65:7a745b24
2025-02-28 18:11:01
HAHA! i honestly don't know if i've ever had a steak with ketchup? maybe as a kid? who knows? that just sounds nasty though.
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@ e7bf8dad:839ef3db
2025-02-28 18:10:14
Block 885753
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-28 18:10:13
Block 885753
5 - high priority
4 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ f8e6c643:03328ca9
2025-02-28 18:10:09
https://m.primal.net/POuX.jpg
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@ 6da9b80c:2aeb0906
2025-02-28 18:07:33
Brasil Registra Queda no Índice de Democracia em 2024, Aponta The Economist
Dos 24 países da região cobertos pelo índice, 17 obtiveram uma pontuação pior do que no ano anterior (liderados por Jamaica, Colômbia e Brasil), e outros cinco melhoraram, com destaque para República Dominicana e México, enquanto dois permaneceram iguais. Os únicos dois países classificados como “democracias plenas” da América Latina foram o Uruguai, na 15ª […]
https://gazetabrasil.com.br/mundo/2025/02/28/brasil-registra-queda-no-indice-de-democracia-em-2024-aponta-the-economist/
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@ 3cea4806:10fe3f40
2025-02-28 18:05:37
Financial wolf advice > decaying old human advice
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@ f03df3d4:a4d4f676
2025-02-28 18:05:13
Block 885753
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ f8e6c643:03328ca9
2025-02-28 18:04:14
https://m.primal.net/POuD.jpg
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@ 3f770d65:7a745b24
2025-02-28 18:03:20
*sends out mass text to all other devs*
LETS PARTAAAAAAAAAAAAAAAY!
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@ 3f770d65:7a745b24
2025-02-28 18:02:05
this was so much fun 😉
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@ 3f770d65:7a745b24
2025-02-28 18:00:38
which do you feel is your best track? loves me some dubstep and edm. ill listen to all of them, but im curious which ones you like best.
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@ 1ae011cb:1257a556
2025-02-28 18:00:19
Block 885753
3 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ cbab7074:f9f0bd61
2025-02-28 18:00:19
Block 885753
3 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-28 18:00:19
Block 885753
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-28 18:00:19
Block 885753
4 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool