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One missing array entry started it all. then two WordPress core bugs chained through SQL injection, cache poisoning and an administrator identity switch -> ending in unauthenticated RCE. We reconstructed the path. CVE-2026-63030 kudos for discovering hashkitten Assetnote

15,935 Aufrufe • vor 2 Monaten •via X (Twitter)

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ResNet by hand ✍️ ~ 10 steps walkthrough below "Deep Residual Learning for Image Recognition" (Kaiming He, CVPR 2016) is among the most cited papers in all of deep learning. Why does it matter so much? It fixed the exploding and vanishing gradients that kept deep networks from being deep, and made thousands of layers possible. How simple was the fix? An identity matrix. Goal: push three input vectors through a residual block, then through a transformer encoder block, filling in every cell yourself. = 1. Given = A mini batch of three input vectors, 3D, and the weights of the layers ahead. = 2. Linear layer = Let us multiply by the weights, add the bias, and apply ReLU so negatives become 0. Three feature vectors out. This is F(X). = 3. Concatenate = Now the trick. Stack an identity matrix beside the second layer's weights, and stack the input vectors under the features. Draw the lines between rows and columns: those are the skip connections. The identity is the residual. = 4. Linear layer + identity = We multiply the two stacked matrices. The identity carries X straight through while the weights transform it, so a single multiplication computes F(X) + X. Apply ReLU and hand it to the next block. Now watch the same trick inside a transformer, first in attention. = 5. Attention = Let us take three input vectors in 2D, compute the attention matrix, and multiply to get attention weighted vectors. = 6. Concatenate = We stack two identities this time, two residuals, which is how you get 1 + 1, and stack the input vectors with the attention weighted ones. = 7. Add = Multiply the stacked matrices. The identity adds attention to its own input, across the columns, which is how positions get combined. And again in the feed forward layer. = 8. First layer = Let us multiply by the feed forward weights and bias, then ReLU. Three feature vectors. = 9. Concatenate = Stack and link exactly as in step 3: the residual again. = 10. Second layer + identity = We multiply, apply ReLU, and pass the result to the next encoder block. This identity adds across the rows, combining features rather than positions. Takeaway: one simple "add" is what made really deep networks possible. 💾 Save this post!

Tom Yeh

18,152 Aufrufe • vor 1 Monat

An Azov fighter was left alone at his position and single-handedly fought off a Russian attack. Video transcription: “I started firing back and realized that I was the only one firing from the position. But then, after I had gone through all the positions, I realized that I couldn’t do it alone. So I picked three firing positions in the trench where I could operate and placed rifles at each of them. I would simply run in with loaded magazines, insert one, fire through two or three magazines, and then change positions. I switched from single shots to bursts and started firing burst after burst, magazine after magazine. The mortars were firing, the AGS was firing, and a tank rolled out on the right. Anyway, I could hear the MLRS launching. I thought, well, they must be hitting somewhere in the rear, probably the evacuation groups. Then the first Grad rocket exploded about 60 meters from the position I was in at the time. And I realized that the Grads would start landing closer and closer. I just dropped down in the trench and curled up, and the next one exploded somewhere about five meters away. That feeling… it felt like all the air had been sucked out of my lungs. Phew! It was quite a crazy situation back then. I remember something… well, there’s nothing to tell the kids.” The fighter was buried under earth from the explosion, but fortunately help arrived and dug him out — which is what we see at the beginning of the video.

𝔗𝔥𝔢 𝕯𝔢𝔞𝔡 𝕯𝔦𝔰𝔱𝔯𝔦𝔠𝔱 🦩🇬🇪🇺🇦🇺🇲🇬🇷

111,386 Aufrufe • vor 1 Monat

Jason Sudeikis says Ted Lasso started as just a commercial for the Premier League before both NBC and Netflix passed on it, and Apple said yes “NBC Sports got the rights for the Premier League back in 2013. An ad company came to me with five ideas. One was a football coach coaches soccer. This was like May of 2013” “I was like, okay, can I bring two friends. They came over. We had the laptop open and just wrote out beats for ideas. We knew we were going to have two days. We were going to shoot it in London. It was one of those moments where I was just in a flow state” “We go over there and make the commercial. It's a multi million dollar campaign. We did not write a script. We have no script. The ad company did, but we were only using little pieces of it. I came up with the name Ted Lasso. I was just like, what about Ted Lasso. I liked the idea of a first name and a noun” “It was a little short film. It was three and a half minutes. It was just a commercial for the Premier League on NBC Sports. Here's a couple hundred grand to make this commercial. The commercial does so well with football fans, soccer fans, comedy people” “Then we enjoyed doing it so much that we were like, hey, can we do another one. They said, yes, but we don't have the budget we had last year, so we can't fly you over there. The whole premise of the commercial is Ted Lasso gets hired by Tottenham Hotspur and then gets fired three days later because he doesn't know what he's doing” “Then we did the second one. That's where the show idea came from. Ted gets hired, gets fired, but isn't mad at anybody. He falls in love with soccer, falls in love with London, and now he's living back in New York, waking up at 7 am to watch Premier League games, driving a Mini Cooper. All these silly jokes” “We sit around for a week and wrote for three days. So many good ideas came out that in three days we had six episodes figured out. Joe had written a spit draft of the pilot, which was about 85% of what we ended up doing. That was 2015. Then it just sat there for years” “Then it wasn’t until, Bill Lawrence had an idea for a show he wanted me to do that wasn't the right fit. I said, me and my friends have this. I handed him the stack, and he read it. Yeah, there's a lot of good ideas there” “NBC passed on it. We went to all the people. NBC, Netflix. But it makes sense. Nobody knows, it's just an idea. And Apple was like, yeah, let's do it”

dank

355,507 Aufrufe • vor 2 Monaten