Loading video...

Video Failed to Load

Go Home

We ran a major bug bounty programme. Significant prize pool. Zero findings. But that's just one layer. Internal security audits, external audits, pen testing, chain integrity is our number one priority by a long way. If the base layer is compromised, nothing else matters.

13,164 views • 4 months ago •via X (Twitter)

27 Comments

Leo XBT's profile picture
Leo XBT4 months ago

@Somnia_Network Really awesome to see the security measures taken for Somnia I believe the chain will definitely shine harder in the near future

eltanque.somi's profile picture
eltanque.somi4 months ago

THIS is Somnia🖤

Sanjeeb Das's profile picture
Sanjeeb Das4 months ago

Respect bro, strong security first is how real trust gets built. Somnia matters most

Janaro's profile picture
Janaro4 months ago

I think the biggest challenge is yet to come, the taller the tree the stronger the wind that hits it.

Kolcent's profile picture
Kolcent4 months ago

respect that approach

Klvn's profile picture
Klvn4 months ago

Agree with you Peter 🤝

Sofiya🇺🇦's profile picture
Sofiya🇺🇦4 months ago

Somnia should be safe.

Hexor 🗿's profile picture
Hexor 🗿4 months ago

How often are you rotating auditors or refreshing your testing approach?

Jack's profile picture
Jack4 months ago

audits are great but users need to stay vigilant too

Vito Botta's profile picture
Vito Botta4 months ago

Zero findings on a big prize pool is genuinely impressive. Most programmes get flooded with low-hanging fruit.

Tony's profile picture
Tony4 months ago

@Somnia_Network Excellent result Peter

Mogi's profile picture
Mogi4 months ago

somnia in safe hand

👑 Winston👑's profile picture
👑 Winston👑4 months ago

@Somnia_Network You failed to invite Lazarus!

Tim Arno's profile picture
Tim Arno4 months ago

Great step for a big adoption 🤝

Trastew's profile picture
Trastew4 months ago

based

0xAlex's profile picture
0xAlex4 months ago

good to always host bounty programs like this security matters a whole lot

joker101010's profile picture
joker1010104 months ago

Now, April is coming to an end, and Somnia has never gone up properly, but it continues to fall. This time, I got it right as I said. Some Somnia advocates said they'd watch for two weeks until the end of April. I guess it's gone now?As expected, the price of Somnia doesn't go up

Ayan's profile picture
Ayan4 months ago

Great Approach by Somnia

Dhruv (Revived)'s profile picture
Dhruv (Revived)4 months ago

Great to know this... The best chain needs to have the best security systems too

0xJames 🛰️'s profile picture
0xJames 🛰️4 months ago

Massive captain 🫡

Base.eth's profile picture
Base.eth4 months ago

Bảo mật hết sức quan trọng, hãy làm cho SOMI ko thể xâm nhập từ những kẻ xấu

Gold Crypto's profile picture
Gold Crypto4 months ago

لا تنخدع بهؤلاء المحتالون انظر الى طريقته في الكذب والاحتيال على الناس فتح شمعه من 17 سنت الى 25 سنت ثم عاد مره اخرى اياك ان تدخل هذه العمله المحتاله فلو ان لديهم مشروع حقيقي لوجدتهم حريصين على ان لا يكون شكل الشارت بهذا العفن عمله احتيال حتى لو شاهدت انك تربح سينزل بالسعر

joker101010's profile picture
joker1010104 months ago

Somnia is also falling in price. Somnia has never been maintained because the price has gone up properly. The price goes down right away. Don't believe Somnia if it doesn't rise or hold above $0.5. It's definitely going down.

Margie Naomi's profile picture
Margie Naomi4 months ago

We take our security incredibly seriously, constantly testing and updating to ensure the protection of our systems

Lincos 🚢 Web3 Contributor's profile picture
Lincos 🚢 Web3 Contributor4 months ago

@Somnia_Network I like what you are working on.

Shufcop's profile picture
Shufcop4 months ago

Excellent result Keep it up💪

Shawn's profile picture
Shawn4 months ago

Believe in Somnia

Related Videos

Backpropagation by hand ✍️ ~ 11 steps walkthrough below Backpropagation is the algorithm that actually trains a neural network, and it is where most people stop following along. It is not calculus you cannot do. It is matrix multiplication, working backward, one layer at a time. So I drew and calculated one entirely by hand. Goal: push the loss gradient back through a 3-layer network and land on a new value for every weight and bias. = 1. Given = A 3-layer perceptron, an input X, predictions Ypred = [0.5, 0.5, 0], and the truth Ytarget = [0, 1, 0]. = 2. Backprop gradient cells = Let us draw empty cells for every gradient we are about to compute. The shape of the answer comes first. = 3. Layer 3 softmax = We get dL/dz3 straight from Ypred minus Ytarget = [0.5, -0.5, 0]. No chain rule needed, and that shortcut is the whole reason softmax and cross-entropy are paired. = 4. Layer 3 weights and biases = Let us multiply dL/dz3 by [a2 | 1]. One multiplication gives the gradient for W3 and b3 together. = 5. Layer 2 activations = We multiply dL/dz3 by W3 to get dL/da2. The gradient moves back across a layer the same way the signal moved forward. = 6. Layer 2 ReLU = Let us pass it through the gate: keep the gradient where the activation was positive, zero it everywhere else. = 7. Layer 2 weights and biases = We multiply dL/dz2 by [a1 | 1]. The same figure as step 4, one layer up. = 8. Layer 1 activations = Let us multiply dL/dz2 by W2. = 9. Layer 1 ReLU = We apply the same gate again, now on a1. = 10. Layer 1 weights and biases = Let us multiply dL/dz1 by [x | 1], and every weight in the network now has a gradient. = 11. Update = We subtract, and the network has learned. In practice a learning rate scales this step. The gradients: dL/dz3 = [0.5, -0.5, 0] dL/da1 = [1, -2, 2, -1] dL/dz1 = [0, -2, 2, -1] The takeaway: matrix multiplication is all you need. Just like the forward pass, backpropagation is matrix multiplications end to end. You can do every one by hand, slowly and imperfectly, which is exactly why a GPU's ability to do them fast mattered so much to deep learning. 💾 Save this post!

Tom Yeh

961,186 views • 1 month ago

Chains all scale the same way now. Throw activity onto an L2, spin up another rollup, let the liquidity scatter and call it progress. Cardano Community went the other direction and it’s the more telling move 👇 ◢ Relocation, not Repair An L2 doesn't fix a congested base layer. It moves the congestion to a room with a different name. You get more bridges to drain, more chains that don't talk, users spread so thin that "the ecosystem" stops meaning one thing. It demos beautifully on launch day. that's the whole appeal. ◢ Nowhere to Hide Fixing the base layer is slower and a lot less forgiving. You can't ship it and walk away. It has to survive real load while the consensus that's secured the chain for years keeps holding, and if it cracks there's no rollup to point at. Leios picked the version with no escape hatch. ◢ The flex is what stayed the same Throughput is the number people will quote but it's not the interesting decision. The interesting decision was leaving the trust model untouched, growing capacity on top of what already works instead of ripping it out and praying the replacement holds. Restraint is harder to market than a big number, which is probably why nobody markets it. ◢ Read the packaging A swordsman's name. Five phases you have to clear in order. That framing is doing work. Ship-fast teams sell the destination; this one is selling the discipline of getting there, which is a quiet way of saying judge us on the grind, not the announcement. My take: in a market that pays out to whoever is loudest, choosing the slow unglamorous path to scale is almost a contrarian bet on itself. It doesn't make leios right, that's what months of testing are for. but "we made the base layer carry more without breaking what made it trusted" is a sentence that still means something in a year. 🔗 Testnet + SPO onboarding:

Onur

19,157 views • 2 months ago