-
@ 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.
-
@ 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
-
@ 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
-
@ 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
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@ 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
-
@ 3f770d65:7a745b24
2025-02-28 18:11:53
next time pull use a plastic fork, plastic knife, and plastic plate!
-
@ 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.
-
@ 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
-
@ 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
-
@ f8e6c643:03328ca9
2025-02-28 18:10:09
https://m.primal.net/POuX.jpg
-
@ 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/
-
@ 3cea4806:10fe3f40
2025-02-28 18:05:37
Financial wolf advice > decaying old human advice
-
@ 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
-
@ f8e6c643:03328ca9
2025-02-28 18:04:14
https://m.primal.net/POuD.jpg
-
@ 3f770d65:7a745b24
2025-02-28 18:03:20
*sends out mass text to all other devs*
LETS PARTAAAAAAAAAAAAAAAY!
-
@ 3f770d65:7a745b24
2025-02-28 18:02:05
this was so much fun 😉
-
@ 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.
-
@ 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
-
@ 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
-
@ 87730827:746b7d35
2025-02-28 18:00:03
yeah *when* FCMP is live and we have the ability for payment channel networks, it's gonna be more private, cheaper, and faster to have channels opens, closes, you'd be able to experiment and try around more, so it may evolve to be better, because on btc the incentive is to do as few on-chain txs as possible, so that creates all the issues we see today, but still will take a long time to get there and will probably be very unpopular since on-chain just works
-
@ 6389be64:ef439d32
2025-02-28 17:58:40
🚨🚨 BREAKING 🚨🚨
The earth is on its 7th completely different atmospheric composition since it cooled. nostr:note1kla64cvh7pf0l4824c952eerr7p0vuefzqf5re3uk5ck9d24fuwql46wkq
-
@ 3f770d65:7a745b24
2025-02-28 17:57:59
ok boss.
-
@ 3f770d65:7a745b24
2025-02-28 17:56:54
vitor: im the master of nips.
will: well, i look at nips all day long.
pablo: yeah, well, i look at nutsacks all day long.
kieran: why are we here, i don't drink, i want a steak.
-
@ f03df3d4:a4d4f676
2025-02-28 17:55:13
Block 885753
2 - high priority
2 - medium priority
2 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
-
@ 5b0183ab:a114563e
2025-02-28 17:55:10
DO NOT zap this note.
Absolutely DO NOT reply to this note because I WILL Zap you.
And for the love of god, please do not zap others who reply to this Note. I would hate to create a #Zapathon in this thread.
-
@ 3f770d65:7a745b24
2025-02-28 17:53:04
i didn't realize that etherrocks were still a thing. yikes.
-
@ 18905d0a:0b229b08
2025-02-28 17:52:31
Ya ok
https://media1.tenor.com/m/jDJkh3w0wTAAAAAd/gregzaj1-ln_strike.gif
-
@ 83fd07de:aec50d47
2025-02-28 17:52:06
where's MEGA BREAKING
-
@ 3f770d65:7a745b24
2025-02-28 17:51:56
jokes on you, i have zero fiat savings.
-
@ 3f770d65:7a745b24
2025-02-28 17:51:34
wow. at least my troll photo was edible. this is on another level.
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@ e7bf8dad:839ef3db
2025-02-28 17:50:13
Block 885752
2 - high priority
2 - medium priority
2 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-28 17:50:13
Block 885752
2 - high priority
2 - medium priority
2 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ 18905d0a:0b229b08
2025-02-28 17:48:33
I feel like we should test this on a non ⭕️ member first. He is one of our retarded brothers after all
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@ 83fd07de:aec50d47
2025-02-28 17:48:29
read myths and old tales to kids again
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@ 3f770d65:7a745b24
2025-02-28 17:47:52
sir do you have your stuff on Wavlake? we can zap you 😁
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@ 3f770d65:7a745b24
2025-02-28 17:47:15
Haha. Hilarious. I hope all is well, Tomer.
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@ 18905d0a:0b229b08
2025-02-28 17:47:07
Sorry in advance nostr:npub14srklruqae9ynu3v9n393h87dcg9mc9lq2dqfrar4r0yk5wph9ts8vrvyl ! We’re still brothers! Well…technically we’ll be siblings 😭😂😂😂😂
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@ 3f770d65:7a745b24
2025-02-28 17:46:54
in the ketchup!
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@ 3f770d65:7a745b24
2025-02-28 17:46:44
</trollface>
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@ 3f770d65:7a745b24
2025-02-28 17:46:28
you're welcome!
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@ f03df3d4:a4d4f676
2025-02-28 17:45:14
Block 885751
3 - high priority
3 - medium priority
3 - low priority
2 - no priority
1 - purging
#bitcoinfees #mempool
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@ a39d19ec:3d88f61e
2025-02-28 17:43:54
Wozu brauchen wir den Staat nochmal?
nostr:nevent1qqs0dz0s6sxq4wngpxu00nn7utmk8wvuk8yjumtv3uelqgue0el8aacpzdmhxue69uhhwmm59e6hg7r09ehkuef0qgsdwznsf5d578lywuct0hz0hjtfchrsff40pyxx2tzcecve4ukgmcgrqsqqqqqpfnw0fq
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@ a10260a2:caa23e3e
2025-02-28 17:43:41
I’m confused now. 😆
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@ 18905d0a:0b229b08
2025-02-28 17:43:32
I’m ready! Except for any experience whatsoever 🤭🤭🤭 https://i.nostr.build/wp62EWuB7ttcbF3e.jpg nostr:note1qhn3stngm30e89h2dpxyqhmq3jdfvyztfylsgg3zcqg73yqpgavq7hkdg7
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@ b300db32:0bf5db3a
2025-02-28 17:42:07
Aqui está uma lista de **principais laboratórios e instituições de pesquisa em Biologia** reconhecidos mundialmente e no Brasil, destacando suas áreas de atuação e contribuições científicas:
---
### **Mundialmente:**
1. **Broad Institute (EUA)**
- Líder em genômica, biologia de sistemas e pesquisa em doenças.
- Responsável por projetos como o *Human Genome Project* e estudos sobre câncer e doenças infecciosas.
2. **Salk Institute for Biological Studies (EUA)**
- Focado em neurociência, biologia celular e genética.
- Destaques: Pesquisas sobre envelhecimento, Alzheimer e terapias baseadas em células-tronco.
3. **EMBL (European Molecular Biology Laboratory) (Alemanha)**
- Rede europeia de excelência em biologia molecular, biofísica e bioinformática.
- Coordena projetos internacionais como o *Human Cell Atlas*.
4. **HHMI (Howard Hughes Medical Institute) (EUA)**
- Apoia pesquisas pioneiras em biologia celular, neurociência e evolução.
- Financia cientistas renomados, incluindo vários ganhadores do Nobel.
5. **Cold Spring Harbor Laboratory (EUA)**
- Referência em genética, biologia do câncer e neurociência.
- Conhecido por estudos em RNA não codificante e edição genética (CRISPR).
6. **Wellcome Sanger Institute (Reino Unido)**
- Especializado em genômica, microbiologia e doenças infecciosas.
- Líder no sequenciamento de genomas de patógenos e estudos de biodiversidade.
7. **Max Planck Institute for Biology (Alemanha)**
- Foca em ecologia microbiana, evolução e biologia sintética.
- Estudos sobre interações entre microbiomas e saúde humana.
8. **Whitehead Institute (EUA)**
- Destaque em biologia do desenvolvimento, epigenética e biologia de células-tronco.
- Associado ao MIT, com impacto em pesquisas de câncer e genética.
---
### **No Brasil:**
1. **Instituto Butantan (São Paulo)**
- **Áreas**: Imunologia, biologia molecular e venenos animais.
- Responsável pelo desenvolvimento de vacinas (como a da gripe) e antivenenos.
- Destaque na pandemia de COVID-19 com a produção da Coronavac.
2. **Fiocruz (Fundação Oswaldo Cruz) (RJ)**
- **Áreas**: Saúde pública, microbiologia e doenças tropicais.
- Líder em pesquisas sobre HIV, tuberculose, malária e vírus emergentes (como Zika e Chikungunya).
- Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos) produz vacinas e kits diagnósticos.
3. **USP (Universidade de São Paulo)**
- **Instituto de Biociências (IB-USP)**: Referência em ecologia, evolução e biologia celular.
- **CIBFar (Centro de Inovação em Biodiversidade e Fármacos)**: Estudos de compostos bioativos da biodiversidade brasileira.
4. **UNICAMP (Universidade Estadual de Campinas)**
- **Instituto de Biologia (IB-UNICAMP)**: Foco em biotecnologia, genética e microbiologia.
- Destaque em pesquisas com plantas transgênicas e terapias gênicas.
5. **INPA (Instituto Nacional de Pesquisas da Amazônia) (AM)**
- **Áreas**: Ecologia, biodiversidade e biologia de organismos amazônicos.
- Estudos sobre impactos do desmatamento e conservação de espécies.
6. **UFRJ (Universidade Federal do Rio de Janeiro)**
- **Instituto de Biofísica Carlos Chagas Filho**: Neurociência, biologia estrutural e biofísica molecular.
- Contribuições em estudos de doenças neurodegenerativas.
7. **LNLS/CNPEM (Campinas, SP)**
- **Laboratório Nacional de Luz Síncrotron**: Apoia pesquisas em biologia estrutural, cristalografia e estudos de proteínas.
8. **Embrapa Recursos Genéticos e Biotecnologia (DF)**
- **Áreas**: Biotecnologia vegetal, conservação de recursos genéticos e agricultura sustentável.
---
### **Observações:**
- **Brasil**: Muitos laboratórios nacionais estão vinculados a universidades públicas ou institutos de pesquisa (como CNPq e CAPES), com forte ênfase em biodiversidade, saúde pública e biotecnologia.
- **Parcerias internacionais**: Instituições como Fiocruz e Butantan colaboram com organizações globais (OMS, NIH) em projetos de saúde pública.
- **Desafios**: Financiamento insuficiente e burocracia ainda limitam o potencial de muitos grupos de pesquisa no Brasil.
Se quiser detalhes sobre algum laboratório específico ou área de atuação, é só pedir! 😊