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#GoNative isn’t just a project it’s the engine powering the next era of #Bitcoin utility. Sovereign. Fast. Intelligent. Unstoppable. The future of BTCFi starts here. 🐝⚡ @goNativeCC #BTCFi #BitcoinOnSui #Beeartist @Tommy_The_Gods @AagyeSanidhya @EdgardS54056 https://t.co/eWxq7ZVQXp

I built the most advanced IDE for iPad that has ever come. It's basically Xcode for iPad. It implements its own Swift interpreter, allowing iOS and visionOS to run code and SwiftUI apps (with UIKit support). It is even faster than SwiftUI Previews on macOS. More to show soon. Will be able to replace the Mac for many developers and allow developers that didn't have access to developer tools this advanced to now build whatever they want.
You think you know what's next in XR optics? Well, I think (💯 sure) you will be totally surprised. Next gen @HyperVisionXR optical engine is mind blowing... to say the least. ✅ 220° FOV ✅ 4k Micro-OLED displays ✅ Incredible clarity & brightness Video soon ⤵️ https://t.co/gVmgLp83oN
And more incredible 🤯 news from Hypervision coming soon 🔥
StereoWorld Geometry-Aware Monocular-to-Stereo Video Generation https://t.co/897E9PL6G3
discuss: https://t.co/TRfl3sCygD
OmniPSD Layered PSD Generation with Diffusion Transformer https://t.co/IQnUyjCsZb
discuss: https://t.co/3tzDZsYgVz
ELON: YOUR ATOMS HAVE BEEN INSIDE STARS Elon paused for a moment, thinking out loud about where everything began. He traced the story of existence from a cloud of hydrogen to the birth and death of stars, all leading, somehow, to us. His thought drifted from physics into philosophy: “I’ve thought about how we got here if we just started as a hydrogen gas cloud that condensed and formed stars, and then these stars exploded and then re condensed and formed stars again, and then exploded again, and eventually you get to us, 13.8 billion years later. One of the interesting questions to think about is how many times have your atoms been at the center of a star?” Every carbon, oxygen, and iron atom in your body was once inside a star. Hydrogen, the simplest and most abundant element, came from the Big Bang itself. The rest was forged in furnaces of collapsing giants that lived, died, and scattered their cores into the cosmos. You are, quite literally, the universe recycling itself into consciousness. Source: @LaceyPresley @elonmusk
GROKIPEDIA IS ALREADY GRABBING WIKIPEDIA’S TRAFFIC Claude blinked first and started pulling answers from Grokipedia instead of the old, dusty hall of "fact" citations. The Shift: • Claude now cites Grokipedia by choice, not by force • Grokipedia runs on open source data with real time updates and bias cleanup • Elon shrugs it off since the whole thing stays open and public Traffic follows utility, and Grokipedia is already pulling the crowd toward the real truth! Source: @elonmusk, Benzinga
@8teAPi Cool
https://t.co/gAYDwMWah6
JENSEN HUANG: I want to be involved in nearly everything Elon Musk does. "For xAI, I'm super excited about the financing opportunity that they're doing. We're an investor already. The only regret I have is I didn't give him more money. Almost everything that Elon is part of you really want to be part of as well, and and he gave us the opportunity to invest in xAI, I'm just delighted by that."
✍️ 'Free speech warrior Elon Musk is right. Europe’s best hope is for the US to support independence movements across the continent' | Writes @NileGardiner Read the column ⬇️ https://t.co/XHXJGGveWK https://t.co/0VTvHJqMC6

Microsoft AI is programmed to hate White people. Who programmed it? https://t.co/xzM3qzELNM
We're LIVE in less than an hour! We've got an extra special livestream for our last @code release of the year - see you there: https://t.co/kobiSUIq8p
#fairytail #nalu #nancydragneel #nashidragneel @giushia https://t.co/RZ6oFE3b9k

【初お披露目】 バインディング商品 『DSマイル』さんイラスト「Chris&Sarah」 原型制作進行中! #wf2018w #ネイティブ https://t.co/dGkWU5dJCU

On #Pride remember the women who have been erased most often in our society--the First Nations women. #Chrystos is a #NativeAmerican/indigenous poet, activist, two-spirit, #lesbian. ❤️💜💙💚🧡💛🖤🏳️🌈 https://t.co/mOG4Zaevl7

【あと3日】 DSマイル氏オリジナルキャラクター「Chris-クリス-」の受注締切は2月13日(水)19時となっております!(`・ω・´)ゞ 国内 : https://t.co/Bxccne7IFa overseas : https://t.co/WPmxTtvBp5 https://t.co/yAQiJUDcnC

⠀⠀⠀ ▸⎰Ꮛαch 𝖔𝖋 𝖚𝖘 needs ɯhαt nαture ━━┅┄ gıves 𝖚𝖘, ɯhen nαture gıves ıt. · • ⠀⠀⠀ https://t.co/5AAlideazQ

⠀⠀ nothıng hαs such ᬦ poɯer to broαden the mınd αs the ⨳ αbılıtч to ınvestıgαte sчstemαtıcαllч αnd trulч αll ━━┅┄ thαt comes under thч observαtıon ın lıfe. ⠀⠀ https://t.co/aNWJdklkk0

【好評受注中】 『くろぬこネーロ』さんイラスト 「チェルシー」 原型制作:永野健民(永野工房) https://t.co/ot6bEDoDmr #バインディング #エロホビ https://t.co/JvDprB8N08

🚨 #VALORANT CHRONOVOID BUNDLE GIVEAWAY🚨 ✅FOLLOW @CrescenttVal 🔁RETWEET ▶️ TAG 2 FRIENDS ⌛️GIVEAWAY ENDS 9/30⌛️ https://t.co/qZGWnrbdHH

【初お披露目】 『左藤空気』さんイラスト 「浅葉 依吹」 原型制作:デイラ #クレイラドール #エロホビ https://t.co/x0m1c8fKza

❤️❤️❤️❤️🌺🌺🌺🌺🌺🌺Birthday gal💐💐🌺🌺🌺🌺🌺🌺🌺 https://t.co/mha2UrE8Xo

ななお氏が描く、人魚のように美しい「クリスティーナ」をビッグサイズで立体化! ご案内中の「椿原ミラ」と合わせて、あなただけの豪華な楽園を創造してください! また2枚でひとつのイラストになるイラストカードがそれぞれに付属! 日本: https://t.co/yT7vu35nic EN:https://t.co/pB49WS3Rq7 https://t.co/dp1gbWuReQ

『スロウ・ダメージ』より 「トワ」 原型制作:アルネブ(okachimatic) #ネイティブ #CHiRAL #スロダメ https://t.co/CuKs3jB6gL

【初お披露目】 『朝凪』さんイラスト 「女月くるみ」 原型制作:にゃばー #のくちゅるぬ #エロホビ https://t.co/fH9dsmxIKt

Naomer moment if you are interested in full res, check out link in bio https://t.co/4qBLjQ8cgM

I’m sorry y’all… I’m still tweeting about my momma. I won’t stop either lol. She deserves it. Look at how beautiful. She was Native American. I do have her cheekbones, nose and smile. https://t.co/miIH7i4D8a

🧠 Your Personal AI Learning Tutor Is Here! 🎓Stop merely memorizing. In Qwen Learn Mode, Qwen Chat turns information into understanding that actually sticks.Powered by our Qwen3-Max model and grounded in cognitive psychology, it designs a learning path tailored to the way you think. ✅ Guides you through Socratic-style dialogue, instead of just giving you answers ✅ Adapts to your current level, like a tutor who always works in your optimal learning zone ✅ Builds mental scaffolds so you can handle complex logic without feeling overwhelmed Unlock your potential, not just the answer key. 🧬 ✨Try it now: https://t.co/7d7lUekv7i
Open-sourcing AutoGLM, a vision-language model that understands phone screens and acts as an autonomous mobile agent. - Get started: https://t.co/4YKzjnvqX3 - Why we built it: https://t.co/IsUvP5QM8t - Model weights: https://t.co/8AFklmcTnT You can also access the model via API on https://t.co/DRCwFHQQRn API (free), @novita_labs , and @parasail_io . Thanks to the community for the incredible support. ⚠️ Any use for illegal data access, system interference, or other unlawful activities is strictly prohibited. #MobileAI #AndroidDev #AgenticAI
Major new research from Google and MIT. "More agents is all you need" has become a mantra for AI developers. We know multi-agent systems can be effective, but we do this mostly based on heuristics. The default approach to building complex AI systems today remains adding more agents, more coordination, more communication. It would be helpful to have a more principled way to scale agentic systems. This new research introduces the first quantitative scaling principles for agent systems, testing 180 configurations across three LLM families (OpenAI, Google, Anthropic) and four agentic benchmarks spanning financial reasoning, web navigation, game planning, and workflow execution. The findings: Multi-agent systems show an overall mean MAS improvement of -3.5% across all benchmarks, with massive variance ranging from +81% improvement to -70% degradation depending on task structure and architecture. Three dominant effects emerge from the data: The tool-coordination trade-off: tool-heavy tasks suffer disproportionately from multi-agent overhead. The efficiency penalty compounds as environmental complexity increases. A task with 16 tools makes even the most efficient multi-agent architecture paradoxically less effective than a single agent. The capability ceiling: once single-agent baselines exceed approximately 45% accuracy, coordination yields diminishing or negative returns. This is quantified as a statistically significant effect. Additional agents simply cannot overcome the coordination tax when baseline performance is already reasonable. Architecture-dependent error amplification: independent multi-agent systems amplify errors 17.2x through unchecked propagation. Centralized coordination contains this to 4.4x via validation bottlenecks (these catch errors before propagation). The presence or absence of inter-agent verification determines whether collaboration corrects or catastrophically compounds mistakes. The performance heterogeneity is also interesting to look at: - On parallelizable financial reasoning tasks, centralized multi-agent coordination achieves +80.9% improvement. - On sequential planning tasks requiring constraint satisfaction, every multi-agent variant tested degraded performance by 39-70%. - Decentralized coordination excels on dynamic web navigation (+9.2%) but provides essentially no benefit elsewhere. The researchers derive a predictive model achieving cross-validated 𝑅^2=0.513 that correctly predicts the optimal architecture for 87% of held-out configurations. This model contains no dataset-specific parameters, enabling generalization to unseen task domains. Overall, architecture-task alignment, not the number of agents, determines collaborative success. The research replaces heuristic guidance with quantitative principles: measure task decomposability, tool complexity, and baseline difficulty, then select a coordination structure accordingly. Paper: https://t.co/6QY8rT15Pd Learn to build effective AI agents in my academy: https://t.co/JBU5beIoD0