-
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@ f03df3d4:a4d4f676
2025-02-27 04:10:51
Block 885505
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 04:10:51
Block 885505
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 32e18276:5c68e245
2025-02-27 04:09:23
if this isn't a porn category it should be
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@ f03df3d4:a4d4f676
2025-02-27 04:05:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 45f195cf:3cab7627
2025-02-27 04:04:16
You’re a kinky mofo 😂
-
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@ 1ae011cb:1257a556
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 958b754a:5c39e88c
2025-02-27 03:59:58
it’s fun to tell the big tiddy goth girl that I have mommy issues so she’ll let me cry on her chest
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@ f03df3d4:a4d4f676
2025-02-27 03:55:51
Block 885503
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 32e18276:5c68e245
2025-02-27 03:55:48
lap dances usually end up being a good but expensive convo. not that different from therapy really
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@ f03df3d4:a4d4f676
2025-02-27 03:50:51
Block 885502
7 - high priority
6 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 03:50:51
Block 885502
7 - high priority
6 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 5e2852e7:fd8d145c
2025-02-27 03:46:47
current training code
//
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import argparse
import hashlib
import random
import os
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layer1 = nn.Linear(256, 2048)
self.layer2 = nn.Linear(2048, 2048)
self.layer3 = nn.Linear(2048, 2048)
self.layer4 = nn.Linear(2048, 2048)
self.layer5 = nn.Linear(2048, 2048)
self.output_layer = nn.Linear(2048, 256)
def forward(self, x):
x = torch.relu(self.layer1(x))
x = torch.relu(self.layer2(x))
x = torch.relu(self.layer3(x))
x = torch.relu(self.layer4(x))
x = torch.relu(self.layer5(x))
x = torch.sigmoid(self.output_layer(x))
return x
def train_model(model, X_train, y_train, epochs=10, batch_size=300, save_path='model_weights.pth'):
criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters())
X_train_tensor = torch.tensor(X_train, dtype=torch.float32).cuda()
y_train_tensor = torch.tensor(y_train, dtype=torch.float32).cuda()
for epoch in range(epochs):
permutation = torch.randperm(X_train_tensor.size()[0])
total_loss = 0
for i in range(0, X_train_tensor.size()[0], batch_size):
indices = permutation[i:i + batch_size]
batch_x, batch_y = X_train_tensor[indices], y_train_tensor[indices]
optimizer.zero_grad()
outputs = model(batch_x)
loss = criterion(outputs, batch_y)
loss.backward()
optimizer.step()
total_loss += loss.item() * len(indices)
average_loss = total_loss / len(X_train_tensor)
print(f'Epoch [{epoch+1}/{epochs}], Loss: {average_loss:.4f}')
torch.save(model.state_dict(), save_path)
print(f"Model weights saved to {save_path}")
def train(args):
random_numbers = [random.randint(0, 2**256) for _ in range(args.num_samples)]
random_numbers_bitlists = []
hashes = []
inputs = []
try:
os.remove("trainingdata")
except OSError:
pass
print("generating samples")
#with open("trainingdata", "a") as samplesfile:
for idx, number in enumerate(random_numbers):
print(idx)
number_bit_list = [int((number >> i) & 1) for i in range(256)]
random_numbers_bitlists.append(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
bit_list = [int((hashint >> i) & 1) for i in range(256)]
#samplesfile.write(f"{hex(hashint)[2:]} {hex(number)[2:]}\n")
inputs.append(bit_list)
X_train = np.array(inputs, dtype=np.uint8)
y_train = np.array(random_numbers_bitlists, dtype=np.uint8)
model = NeuralNetwork()
save_path='model_weights.pth'
if os.path.exists(save_path):
print("loading existing model weights")
model.load_state_dict(torch.load(save_path))
model.cuda()
print("training model")
train_model(model, X_train, y_train, epochs=args.num_epochs, save_path=save_path)
def process_infer_input(input_string):
if len(input_string) == 64:
binary_values = []
for i in range(0, 64, 2):
hex_pair = input_string[i:i+2]
decimal_value = int(hex_pair, 16)
binary_representation = format(decimal_value, '08b')
binary_values.extend([int(char) for char in binary_representation])
return np.array(binary_values).reshape(1, -1)
else:
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) == 64:
binary_values = []
for i in range(0, 64, 2):
hex_pair = args.input[i:i+2]
decimal_value = int(hex_pair, 16)
inputbinstr += format(decimal_value, '08b')
elif len(args.input) == 256:
inputbinstr = args.input
else:
print("input must be 256 bit value as hex or binary string")
return
X_test = process_infer_input(inputbinstr)
X_test_tensor = torch.tensor(X_test, dtype=torch.float32).cuda()
model = NeuralNetwork().cuda()
model.load_state_dict(torch.load('model_weights.pth'))
model.eval()
with torch.no_grad():
predictions = model(X_test_tensor)
#print("predictions.numpy()", predictions.numpy())
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)
print(f"obin:", binstr)
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_samples', type=int, nargs='?', default=1000000, help='Number of samples to generate')
train_parser.add_argument('--num_epochs', type=int, nargs='?', default=2, 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()
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@ f03df3d4:a4d4f676
2025-02-27 03:45:51
Block 885502
7 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 03:40:51
Block 885502
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 03:40:51
Block 885502
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 03:35:51
Block 885502
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 9bebcb4e:36395485
2025-02-27 03:34:01
training stuck at loss 0.0334, adding more parameters
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@ f03df3d4:a4d4f676
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 03:25:51
Block 885502
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 159f1207:50bebf8c
2025-02-27 03:23:59
model size on disk is 14 MB
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@ 48947049:b7d38af5
2025-02-27 03:21:50
not yet predicting correctly, but its positioning output bits similarly.
Loss: 0.0578
python program.py infer 00000000000000000000000000000000000000777777000000000000006000ee
ibin: 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001110111011101110111011100000000000000000000000000000000000000000000000000000000011000000000000011101110
obin: 1111000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010110000001110001011000000000000000000000000000000000000000000000000000000000001000000000000001000100
bitdiff: 18
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@ ea14b4c2:09c3d767
2025-02-27 03:21:27
not yet predicting correctly, but its positioning output bits similarly.
Loss: 0.0578
python program.py infer 00000000000000000000000000000000000000777777000000000000006000ee
ibin: 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001110111011101110111011100000000000000000000000000000000000000000000000000000000011000000000000011101110
obin: 1111000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010110000001110001011000000000000000000000000000000000000000000000000000000000001000000000000001000100
bitdiff: 18
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@ e7bf8dad:839ef3db
2025-02-27 03:20:51
Block 885502
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 03:20:51
Block 885502
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 46070d37:ae4f8f31
2025-02-27 03:17:13
model shows signs of learning using following layers:
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layer1 = nn.Linear(256, 1024)
self.layer2 = nn.Linear(1024, 1024)
self.layer3 = nn.Linear(1024, 1024)
self.layer4 = nn.Linear(1024, 1024)
self.output_layer = nn.Linear(1024, 256)
def forward(self, x):
x = torch.relu(self.layer1(x))
x = torch.relu(self.layer2(x))
x = torch.relu(self.layer3(x))
x = torch.relu(self.layer4(x))
x = torch.sigmoid(self.output_layer(x))
return x
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@ f03df3d4:a4d4f676
2025-02-27 03:15:51
Block 885500
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 03:10:51
Block 885499
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 03:10:51
Block 885499
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 6389be64:ef439d32
2025-02-27 03:09:31
A good night. https://image.nostr.build/973e4ac0a5a7fdb647d179ebba1afbce7fe8d81b04c342196427f52416d4ff64.jpg https://image.nostr.build/df0aec3c0cce49d8823ed0119029b115ddcfa03d95edaf7c245224fb9b36b554.jpg https://image.nostr.build/073c559b6ba2d95a89e670c741bd4f878ed27621b4a6b60e07b6d2de1058ac22.jpg
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@ f03df3d4:a4d4f676
2025-02-27 03:05:51
Block 885499
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 958b754a:5c39e88c
2025-02-27 03:03:33
i noticed after I posted some that they didn’t display.. I don’t think any social media works with this yet 👀 if you get it to work it would be the first https://image.nostr.build/37c1866310a32d1cff15ae6072aa0f965232a0da51090fe022e2347a34167334.jpg
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@ f648d923:820d7bb9
2025-02-27 03:03:10
The Democratic Party of the U.S. relies on the Department of International Development to launder money, corrupt, waste U.S. taxpayers' money to engage in covid, engage in LGBTQ promotion, engage in BLM, and encourage Americans to engage in homosexuality.
Americans do not scold the Democratic Party.
Americans actually hate President Trump. Americans are stupid, too. many American people don't have the ability to think independently.
nostr:npub1jc0fcrufmr4phlp9uerv48yft0kqvyr8yr54ausy3c9254a08utsxrp9mh
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@ f03df3d4:a4d4f676
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 1ae011cb:1257a556
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 958b754a:5c39e88c
2025-02-27 02:59:15
my new fav emoji to send to normie frens asking me if they should sell now https://image.nostr.build/0f71b84e4e0cbd791c63d6912da8b477b850779ab4c5f1c2d997799154cc2ef9.jpg
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@ 5de23b9a:d83005b3
2025-02-27 02:59:11
"Building Nostr is not just about creating a social network, but also building a free, open, and censorship-resistant ecosystem. Every relay we run, every line of code we write, and every zap we send is a step towards a more decentralized internet. Let's continue to contribute and grow together! ⚡" #BuildNostr #Decentralization #FreedomTech #Bitcoin #ZapLife #OpenProtocol #Plebchain
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@ f03df3d4:a4d4f676
2025-02-27 02:55:51
Block 885498
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ e7bf8dad:839ef3db
2025-02-27 02:50:51
Block 885497
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:50:51
Block 885497
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:45:51
Block 885495
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ e7bf8dad:839ef3db
2025-02-27 02:40:51
Block 885495
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:40:51
Block 885495
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:35:51
Block 885493
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:25:51
Block 885492
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:20:51
Block 885489
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 02:20:51
Block 885489
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:15:51
Block 885489
7 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:10:51
Block 885489
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 02:10:51
Block 885489
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:05:51
Block 885489
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f648d923:820d7bb9
2025-02-27 02:05:23
I think truth social, joining the Nostr client is a good thing. Win-win cooperation.
After all, old Trump 👴is the current president of the U.S.
It can enhance the popularity of #Nostr.
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@ cbab7074:f9f0bd61
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 1ae011cb:1257a556
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 52387c6b:49dbdfb2
2025-02-27 02:00:42
Expensive…..it’s all relative
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@ f648d923:820d7bb9
2025-02-27 01:59:22
难道川普老头👴的Truth social 平台也对接Nostr?这样好👌,Nostr 又增加一员。又有优势了。川普的truth social。是应该对接Nostr,也是抱团取暖方式合作共赢。这样好。 nostr:note1s2zedk8yyzy222z6kg7f3urpakhe6ufa7u224uaw4aq8xlssvhns96jwcg
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@ f03df3d4:a4d4f676
2025-02-27 01:55:51
Block 885488
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:50:51
Block 885488
6 - high priority
5 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 01:50:51
Block 885488
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:45:51
Block 885487
6 - high priority
6 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ f648d923:820d7bb9
2025-02-27 01:43:33
i'm an outgoing person,so, i 'm good at talking about much more things.
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@ f648d923:820d7bb9
2025-02-27 01:41:13
give me a hug.before you leave .thanks.🫂🫂🫂
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@ e7bf8dad:839ef3db
2025-02-27 01:40:51
Block 885487
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:40:51
Block 885487
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 52387c6b:49dbdfb2
2025-02-27 01:36:56
In regard to unchained and the like I find it hard to accept you are paying a fee and on their side it’s all care and no responsibility.
There is this which is a bit larger fee but your stack is insured thru Loyd’s. Seems like a better alternative https://www.anchorwatch.com/
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@ f03df3d4:a4d4f676
2025-02-27 01:35:51
Block 885487
5 - high priority
5 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 01:30:51
Block 885486
6 - high priority
5 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 01:30:51
Block 885486
6 - high priority
5 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:30:51
Block 885486
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ d36e8083:ac0b6bec
2025-02-27 01:26:07
🤙🍫
h/t nostr:nprofile1qqswp94gnm4epqsgjkndl4lnd8krzdj5u4mzuppdtxksdymkty63g7gpz3mhxue69uhhyetvv9ujuerpd46hxtnfduq3qamnwvaz7tmwdaehgu3wd3skueqpzpmhxue69uhkummnw3ezuamfdejs0jcqj7
https://haven.calva.dev/7f6e642aead80dae1ed451113efb76d53f12419b584800584826a0f3ea1c7fb8.jpg
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@ f03df3d4:a4d4f676
2025-02-27 01:25:51
Block 885485
6 - high priority
6 - medium priority
5 - low priority
5 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 01:20:51
Block 885483
9 - high priority
8 - medium priority
7 - low priority
6 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:20:51
Block 885483
9 - high priority
8 - medium priority
7 - low priority
6 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ 34d2f527:05cc8095
2025-02-27 01:18:36
Bitcoin is for the children.
https://video.nostr.build/eb58c7e14f0f57ccf4ac51f7548363d33cc11f708fc15f4329e3cb9da7bc6f69.mp4
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@ f03df3d4:a4d4f676
2025-02-27 01:15:51
Block 885483
9 - high priority
8 - medium priority
7 - low priority
6 - no priority
3 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:10:51
Block 885483
8 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 01:10:51
Block 885483
8 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 94a6a78a:0ddf320e
2025-02-27 01:09:17
Bitcoin isn’t an investment. It’s an exit.
🚀 An exit from inflation.
🚀 An exit from broken banking.
🚀 An exit from governments controlling your money.
Opt out. Stack sats.
#Bitcoin #SoundMoney #Decentralization
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@ f03df3d4:a4d4f676
2025-02-27 01:05:51
Block 885483
8 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ cbab7074:f9f0bd61
2025-02-27 01:00:51
Block 885483
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 01:00:51
Block 885483
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ 1ae011cb:1257a556
2025-02-27 01:00:51
Block 885483
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ e7bf8dad:839ef3db
2025-02-27 01:00:51
Block 885483
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 00:55:51
Block 885483
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f03df3d4:a4d4f676
2025-02-27 00:50:51
Block 885483
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-

@ e7bf8dad:839ef3db
2025-02-27 00:50:51
Block 885483
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-

@ f03df3d4:a4d4f676
2025-02-27 00:45:51
Block 885483
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
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@ f648d923:820d7bb9
2025-02-27 00:42:06
网民留言说他的侄女从大专考本科,花20000元人民币去辅导班学习。专科升考本科学历。考试英语才考15分,英语总分150分。那女孩子只考15分。这还是一个大专学生。才20岁的年轻人英语总分150分只考15分,所以。中国人从小学到大专已经学了十几年的英语。最后才考15分。这类中国学生连26个英语字母都认识不全。
我最好的女同学,从小到大都与我同班的女同学,她之前考大学毕业证在考英语的时候只考8分也需要重考。现在还在当老师。还嫁给一个有钱男人,过这景衣玉食的生活。因为她家有几个加汽油的连锁店她的父亲是富豪。她原本可以进入中石化公司上班,但是她太差。她的父亲只找关系进入学校当普通女老师。她就是英语毕业考试才8分。我永远记住她就是她英语毕业考试只考8分,但是她哭着叫我教她英语。但是她脑太笨。无法教会。不过,人很善良单纯可爱的女孩子。她与我很好纯碎只觉得我英语比她好。她的父亲与我父亲也是同班同学。我和她又是从小到大的玩的同学。
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@ f03df3d4:a4d4f676
2025-02-27 00:40:51
Block 885482
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool