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Quick reminder for those who deposited into the $1WIN Token Sale You’re participating in the Lamborghini Urus SE giveaway as part of Lucky Drive. Rules (read them pls): • For every full $100 contributed to the Token Sale pool between October 15-30, you get 1 extra Lucky Drive ticket. • Tickets are calculated based on the total amount you contributed, before oversubscription allocation/refunds. • Extra tickets are added to your regular Lucky Drive tickets, with a maximum of 32 tickets per 1win account in total. • You need a 1win account and must make a deposit from the same Solana wallet you used for the Token Sale so we can match your wallet to your account. • The deposit must be made by November 12, 20:59 UTC. Deposits made later won’t be included. • If the same wallet is linked to multiple 1win accounts, all tickets will be credited to the account with the most recent deposit. Tickets will not be split or duplicated. Tickets will be credited once before the draw on November 15. Participation link: Good luck

This is what Google's Gemini 4 Carbon is capable of. It built an interactive 19th-century-inspired Parisian physics laboratory, Analyse Spectrale (Mod. M1-2-15), using nothing but a reference image. It features 92 machined brass, copper, and borosilicate parts, a live Beer-Lambert Rankine vortex, an axial exploded view, and an archival Bento UI with a 60 FPS SVG Watt indicator and schematic plate. The materials look incredibly realistic, and it even came up with the entire UI design on its own. I didn't provide any design references for that. Gemini models are getting so good at 3D and physics 🤯

we just made @ethrex_client again the fastest client in @ethereum. i've always said, lambda would deliver and push the boundaries of ethereum. after a couple of months focused on Glamsterdam hardening and Hegota prototyping, including hosting several public testnets for the most important EIPs coming in Hegota, we've turned our attention back to performance. this doesn't mean we're stepping away from that work, where we still have a lot to contribute. The early results are very promising. In just a couple of days, we brought block processing time down from ~40ms to ~26ms in mainnet, making ethrex the fastest client once again. The image below compares how we perform today (ethrex-baseline) with what we've been cooking (ethrex-testing). congrats @class_lambda, i'm proud of the team we've built. i love working with people that are way smarter than me. thanks @ethereumfndn for the constant support.

I'm still amazed there are people who use Claude Code and Codex on the daily yet don't own a Tesla Tesla's FSD v14.3 is like Opus 5.5. It just works and it is just so good and buttery smooth Imagine Astra-level computer use, but for driving your car "but I love mah car, vroom vroom in my Lambo, it's a machine!" please sit down. if you drive 30 or more mins per day and you haven't gotten a Tesla yet bc you "love to drive," I'm telling you that you sound like a programmer still hand-coding lines of Perl and PHP You owe it to yourself to take a test drive of a new Tesla to see how far they have come and what FSD feels like

1/ 如果一家新的 AI 实验室需要 GPU，业内人最推荐谁？ Chris Barber 发起了一轮投票： 15 票：SF Compute 11 票：CoreWeave 10 票：Modal、Nebius 9 票：Lambda 5 票：Fluidstack 4 票：RunPod 3 票：Crusoe、Together AI 2 票：Baseten、Google Cloud、Oracle、Ornn

I asked people: "where should neolabs go for GPUs?" 15 votes: SF Compute (@evanjconrad @jeztek @Ethan_is_online @EricMenees @apagajewski) 11 votes: CoreWeave (@BrianVenturo @branninmcbee) 10 votes: Modal (@bernhardsson @akshat_b) 10 votes: Nebius (@romanchernin) 9 votes: Lambda (@stephenbalaban) 5 votes: Fluidstack (@garywu @CesarMaklary @jimcox25) 4 votes: RunPod (@flash__singh) 3 votes: Crusoe (@ChaseLochmiller @Electron_Cowboy) (also received one vote against) 3 votes: Together AI (@vipulved @ce_zhang @tri_dao @percyliang) 2 votes: Baseten (@tuhinone @amiruci @saltyph @defpan) 2 votes: Google Cloud (@sundarpichai) 2 votes: Oracle (@ClayMagouyrk) 2 votes: Ornn (@bavaria_kush @wayne_nelmz) People couldn't pick a company they work at or founded. Disclosure: I'm a small investor in SF Compute. I didn't vote.