zoombigui $GUI 💚🐶💚

Top 6 Best Websites to Find Crypto Airdrops in 2026: 🪂 1. Airdrops.io airdrops.io The most trusted platform for finding high-quality and well-researched airdrops. 2. CoinMarketCap Airdrops coinmarketcap.com/airdrop/ Official campaigns from reputable crypto projects. 3. DappRadar Rewards dappradar.com/rewards Great for discovering Web3 and on-chain reward opportunities. 4. AirdropAlert airdropalert.com A reliable website with beginner-friendly airdrop guides. 5. AirdropBob airdropbob.com Regularly updated with legitimate and trending airdrops. 6. AirdropsMob airdropsmob.com Simple and clean platform for tracking new opportunities. Use these websites daily to stay early and never miss quality airdrops.

Allah kahretsin aldığımız ticker'a bak. Neyse bende $shit tutuyorum utanarak yazıyorum arayana marifeti bol biraz hype birazda bahsedilme arttıkça ve tickerın rezalet olmasından dolayı yürüyeceğini düşünerek aldım. Entry 2m Ca : trade.padre.gg/trade/eth/0xaf…

Grid 9 Our first flagship game on @movement_xyz Coming soon this May

Gm we know something others don’t

Gm We’re building something inevitable

Gm fam Have a wonderful day

@insaatdoktoru Böyle yapmaları buna için iyi birşeymi kötü birşey mi?

Kadıköy Suadiye’de cepheleri komple perde dönülmüş bir bina inşa ediliyor Hiçbir konutta bu kadar çok betonarme perde gördünüz mü?

Just another day at the office $gui

Gmgm Are you coming?

Winter's Over

🚀 Set Your Reminders! ​We’re heading back to Spaces this Friday to talk all things Gui Inu! Catch us live for the latest updates, community alpha, and some good vibes. ​📅 Friday, April 24 ⏰ 2:00 PM UTC 📍 Right here on X x.com/i/spaces/1akbd… ​Don’t miss out—see you there! 🐾💻

Just in: GUI apple is the new CEO of apple Rip tim apple

Happy Sunday, everyone! ☀️✨ ​Wishing you all a day full of relaxation, good vibes, and a little extra sunshine to carry you through the week. Enjoy every moment! ☕️🌿

@kriptokurduu Teşekkürler bu bilgilendirici içerik için 😃

Neden Hep Aldığın Tokende Zarar Ediyorsun? Çoğu kişi insiderların kurbanı oluyor çünkü cüzdanları okumayı bilmiyorlar. GMGN ve CoinCarp kullanarak bir tokeni nasıl analiz edebileceğinizi anlattık. Videomuzu izlemek için 👇 youtu.be/1EiDYXfIHEU

Saturday checklist: 📈 Check the charts ☕️ Grab a coffee 🐕 Hang with gui ​Taking a moment to appreciate the journey so far. Weekends are for recharging, but the vision never sleeps. Stay cozy, fam. 🧡

Nine billion miles of driving data just became a chip. Tesla AI5 is finalized for production. The design files are at Samsung in Texas and TSMC in Arizona. The transistors are locked. There is no going back. Tape-out is the hardest gate in semiconductor engineering because everything before it is reversible and everything after it is silicon. How this particular chip was designed is the most interesting part. Nvidia builds general-purpose GPUs. They pack transistors into a full-reticle die, ship it with CUDA, and let customers figure out which operations matter. Blackwell B200 delivers 4.5 petaFLOPS at up to 1,000 watts. It runs any model for any customer. That generality is the moat and the tax. Every workload pays for circuits it never uses. Tesla designed AI5 backward. They started with 9 billion miles of FSD inference data and asked one question: where does the neural network waste cycles? The answer was softmax computation and quantization precision loss. Two specific mathematical operations that consume disproportionate silicon area and power in every general-purpose GPU on Earth. Operations that Nvidia cannot optimize away because other customers need those transistors for different workloads. Tesla hardened them. Burned custom quantization and softmax accelerator blocks directly into the die. Five times more efficient on those operations than any general-purpose equivalent. Then they added 10 times the raw compute and 9 times the memory capacity relative to AI4. The result: a single AI5 system-on-chip delivers roughly 5 times the useful compute of the current dual-chip AI4 configuration at an estimated 250 watts. Musk has framed a single AI5 as Nvidia Hopper class and dual AI5 as Blackwell class for Tesla workloads, at 3 to 5 times better power efficiency and roughly 10 times better performance per dollar. This is not a chip designed to compete with Nvidia. This is a chip designed to run one thing: the learned differentiable physics engine that emerged from 9 billion miles of camera observation. Every transistor serves that engine. No wasted silicon. No generality tax. The neural network wrote its own hardware. The chip goes to two foundries. Samsung in Taylor, Texas. TSMC in Arizona. Both American. Musk thanked both this morning and added: “It will be one of most produced AI chips ever.” Samples arrive late 2026. Volume targets H2 2027. In the same post, Musk confirmed AI6, Dojo3, and “other exciting chips” are in active development. The 9-month cadence is real. AI6 targets tape-out by December. Dojo3 restarts on the unified architecture after Musk shut down Dojo2 last August as an “evolutionary dead end.” Intel joined Terafab eight days ago for advanced packaging. The $16.5 billion Samsung deal runs through 2033. The chip that taped out this morning is not a product. It is the physical crystallization of 9 billion miles of learned physics into transistors optimized for the exact mathematical operations that physics requires. The software trained on the road. The silicon was designed from what the software learned. And the factory that will mass-produce it is being built in the same city where the cars that generated the training data roll off the line. The loop is closed.

Round 2 is calling! 📢 ​Join us this Friday at 2 PM UTC as we host our second X Space. Bringing the community together to discuss everything Gui and the latest CT alpha. ​Drop your questions below and we’ll answer the best ones live! 👇twitter.com/i/spaces/1yxBe…

Happy International Pet Day 🐾 Loyalty, patience, and unconditional love. If you own $GUI… you’re already celebrating.

Happy Sibling Day!