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#India’s 1st anti-clockwise circuit is almost ready. Coastt Circuit to be #TamilNadu's Longest Car Racing Track. At 3.8km, #Coimbatore Auto Sports Transport Trust (COASTT) will be an FIA Grade 2 Race Circuit & also include a Grade 1 CIK karting track on its infield. (1/2)

25,014 次观看 • 2 年前 •via X (Twitter)

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INTRODUCING OCBTW: THE FIRST PANDA-BACKED ASSET A FIRST-OF-ITS-KIND 2-WAY NFT NFT SWAP We just deployed a smart contract on Bitcoin that allows you to mint "OCBTW", a limited edition generative art collection by tclow.sats, solely by swapping an Alkane Pandas ⬢ OCBTW has a supply of 200 unique pieces and is inspired by Oyl | Building Alkanes's signature hexagon logo that defines all native Alkane assets (e.g., $DIESEL). It is 100% on-chain generative art using three.js code via HTML ⬢ OCBTW can only be minted by swapping a Panda using the 2:70104 smart contract. After 200 swaps have been completed, on a first-come-first-served basis, the mint will conclude. However, OCBTW can be swapped back to a Panda at any time, freeing up supply for another Panda holder to collect a OCBTW piece from the contract. ⬢ OCBTW is thus backed entirely by Pandas, meaning each piece will never be worth less than a Panda. This is the first time on Bitcoin that an NFT is minted with another NFT. This may be the first time this has ever been done on any chain. ⬢ OCBTW also effectively locks up up to 200 Pandas for perpetuity. Just like AP-69, this swap contract has no withdrawal function. The only way to get Pandas out of the contract is to swap your OCBTW back to a Panda. This operates on a last-in, first-out (LIFO) basis. ⬢ OCBTW can be minted by calling the 2:70104 contract using opcode 42 and including a Panda in the transaction, either by using or You can only mint 1 OCBTW per transaction. Rarity of Pandas has no effect on what OCBTW mint you will receive. ⬢ OCBTW can be viewed natively in browser on iDclub 💥 Building Alkanes at the following link: Please be patient after minting for their indexer to update after blocks clear. Please also note that the Ordiscan Alkanes indexer is currently down. ⬢ OCBTW is purely art. Art on Bitcoin. Forever.

Alkane Pandas

22,591 次观看 • 1 年前

🔴IMPROVE YOUR SUPER COUNTER🔴 I will refer to you the host as player 1 and friend as player 2 Step 1 - Invite friend to room and create a private match Step 2 - Make DP teams, equip Max health and ki recovery to all your character for this match. Step 3 - To initiate training player 1 should approach player 2 and charge melee attack (smash attack it’s called in game) As demonstrated on this video, also note you have 2 assault vanishing attacks not including lightning attack which would be (O on ps5) per assault combo string. Player 2 can try and super counter that first charged attack and if he fails he’s got another 2 chances at super counter after you follow up the next two vanishing assaults. Step 4 - Flick Up followed by rush attack (⬆️+🟪) so UP first than SQUARE almost simultaneously but fast! on hit. It sounds silly that it has to be on hit but it is literally how it is done so (same time you get hit is the time you input ⬆️+🟪) Step 5 - Never break this rule: you and your friend can only damage each other with successful Super counter. A little tip to reset the vanishing assaults mid vanishing assault combo sequence. - So say player 1 has connected a charged smash and a(1) vanishing assault, And player 2 did not succeed in executing super counters, what should happen next is player 2 should vanish the 2nd Vanishing Assault of player 1 by pressing (🔴) instead of attempting Super Counter (⬆️+🟪), and once player two knocks back player 1 with a successful 🔴 counter player 2 should now press 🔺to do 2 vanishing assault combos, whilst player 1 attempts doing (Super Counter), and if player 1 fails to super counter the first vanishing attack player 1 should press 🔴 on the 2nd attack, now making it so that player 2 has to attempt super counter.. 😭😂💀 I know complicated but it really isn’t. The entire battle can be of you two simply super countering each other! Me and my friend did this for a few hours to build muscle memory and reaction speed because what’ll notice is you have to be fast to react to super counters or else you will take tons of damage. Also I can’t tell you how satisfying it is to perform these. My friend Erci was like: Goku come on man you’re the MC this is cake for you DO IT!! I was like: I am the son of of the prince of all Saiyans you can’t touch me GOKU 😈😂😭 we were talking mad trash to each other. I love this game ❤️ Good luck labbing and see you all tomorrow for a fun dual stream on twitch and YouTube 🔥💪🏾

GameBreakerGod

181,438 次观看 • 1 年前

🚀 A better, faster co-folding-based binding affinity model. Predicting how tightly a drug candidate binds to its target is critical in drug discovery. It also requires massive computational resources. State-of-the-art models can take 20 seconds to a minute per prediction, impractical for the demands of large scale early-stage programs . 💠 Today, Recursion’s Valence Labs is releasing Nesso-1: the fastest open-source co-folding-based binding affinity model available. At 1 second per prediction, it’s roughly 20x faster than our previous collaboration on Boltz-2 while matching or surpassing its accuracy across public and internal benchmarks. By leveraging NVIDIA Healthcare cuEquivariance, we’ve been able to further accelerate both training and inference by an additional 2-3x. We look forward to continuing to improve Nesso-1 in collaboration with NVIDIA. Weights and code are fully open-sourced. The core architectural ideas behind Nesso-1 build on the insight that coarse-grained co-folding representations can match full-atom models for affinity prediction at a fraction of the cost. Nesso-1 is the first open implementation of this approach with no proprietary dependencies, trained entirely on public data, built to be reproducible and extensible. We’re already using Nesso-1 internally in active drug discovery programs. Fast, reliable affinity prediction at scale is foundational to the kind of autonomous design loops that define our vision for Autonomous Precision Design and Nesso-1 is a meaningful step toward that. 👉 Report: 👉 Github: 👉 HF:

Recursion

156,768 次观看 • 1 个月前