── ⋆⋅☆⋅⋆ ─── #PROMOTWT #MOOTHUNT ;; Day 1 Nari ⋆ she/her ⋆ minor (in hs) I yap about lore and yuri, and I draw! Semi-interactive, I follow back most ᯓ★ ♡ + ↻ to be oomfs ;; Appreciated! #arttwt #alnsttwt #crktwt #yuritwt #rgutwt #ddlctwt ─── ⋆⋅☆⋅⋆ ── https://t.co/OmVI8UrL4w

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𝝑𝝔 Kami's intro ‧₊ .ᐟ any / all prns • unlabeled gender • aroacespec + lesbian • bandori + sdra2 fan | minor ₊˚⊹ ｡ ♡ / ↻ appreciated ! ✚ ˳ #bandoritwt #sdra2twt #jpoptwt #kpoptwt #lalaloopsytwt #promotwt #moothunt #danganronpatwt https://t.co/pq679EXKyV

Jimmy Fallon: "And do you use ChatGPT when raising your baby?" Sam Altman: "I cannot imagine figuring out how to raise a newborn without ChatGPT." https://t.co/jx29pvvpGM

Everyone lined up to watch me dive naked in Norwegian fjords https://t.co/cxregIghnL

Seamless agent collaboration in VS Code, tailored to the way you work best. Read the full release notes: https://t.co/A9p63tiyY2 Happy coding!

First large-scale field study of how people actually use AI agents in the wild. The hype says 2025 is the year of agentic AI. But systematic behavioral evidence on real-world agent adoption has been almost nonexistent until now. Researchers from Harvard and Perplexity analyzed hundreds of millions of anonymized user interactions with Comet, Perplexity's AI-powered browser with an integrated agent. They examined three fundamental questions: Who adopts AI agents? How intensively do they use them? And what for? The patterns reveal a stark adoption divide. Early adopters drive disproportionate usage. Users in the first access cohort (July 9) are twice as likely to adopt the agent and make nine times as many agentic queries as users who joined at general availability. The post-GA period accounts for 60% of agent adopters but only 50% of agentic queries. Country-level analysis shows strong correlations. Agent adoption per capita correlates with GDP per capita (r = 0.85) and average years of education (r = 0.75). "Relatively more economically developed and educated countries tend to adopt and use the agent more." By occupation, digital technology workers dominate: 28% of adopters and 30% of all agentic queries. Academia, finance, marketing, and entrepreneurship follow. Together, these knowledge-intensive sectors account for over 70% of total adopters and queries. Workers in marketing show the highest usage intensity relative to their user base (AUR = 1.46), followed by entrepreneurship (1.38) and students (1.26). What are people actually doing with agents? Productivity and Learning together represent 57% of all agentic queries. The top two subtopics, courses (13%) and goods shopping (9%), account for 22%. The top 10 out of 90 identified tasks represent 55% of all queries. The single most common task? Exercise assistance for courses at 9.4%, followed by summarizing research information (6.7%) and creating/editing documents (6.6%). Usage context breaks down to 55% personal, 30% professional, and 16% educational. For professional use, 80% of queries are productivity and career-related. Educational usage is dominated by learning at 89%. The top environments reveal where agents actually operate: Google Docs (12%), email services (11%), LinkedIn (9%), YouTube (7%), and Amazon (3%). Environment concentration varies dramatically: LinkedIn accounts for 93% of professional networking queries, while account management queries spread across many sites, with the top five covering only 28%. Use cases show strong stickiness. Users making consecutive queries tend to stay within the same topic. When they do transition, they most likely move toward productivity, learning, or media topics. Over time, query shares shift from travel and media toward more cognitively oriented categories like productivity, learning, and career. This is the first empirical baseline for understanding real-world AI agent adoption. The data reveals a clear pattern: knowledge workers in wealthy, educated countries are pulling ahead in agent usage, with specific occupations like marketing, entrepreneurship, and digital technology leading adoption intensity. Paper: https://t.co/L5UFjmRNTE Learn to work with AI Agents in our academy: https://t.co/zQXQt0PMbG

🧵 1/12 A Yale economist just published a paper that should terrify every knowledge worker. It's not about AI taking your job. It's about AI making your job economically worthless while the economy booms. Let me explain the nightmare scenario: 🧵 2/12 The paper "We Won't Be Missed" starts with two simple premises: 1️⃣ AGI arrives (AI that can do ANY economically valuable task) 2️⃣ Compute becomes abundant (keeps getting cheaper, like Moore's Law) From just these two assumptions, the whole economic order collapses. 🧵 3/12 Here's the key insight most people miss: The paper divides ALL work into two categories: Bottleneck Work = Essential for growth (energy, logistics, R&D) Accessory Work = Nice-to-have (arts, hospitality, therapy) This distinction changes everything. 🧵 4/12 Proposition 1 proves something shocking: AGI will automate ALL bottleneck work. Not because humans are bad at it. Because sustained growth REQUIRES it. The economy literally cannot afford to have critical functions limited by fixed human labor supply. 🧵 5/12 So what happens to economic output? Proposition 2 & 3: Output becomes a LINEAR function of compute. Growth rate = Compute growth rate. The entire economy's expansion is now tied to one thing: how fast we can scale computational resources. Human labor? Irrelevant. 🧵 6/12 "But surely humans still get paid well for the work we do?" Nope. Proposition 4 is brutal: Your wage converges to the cost of the compute needed to replicate your work. Not your skill. Not your experience. Just: How much would the AI version cost? 🧵 7/12 Think about that for a second. As compute gets exponentially cheaper, the ceiling on your wage FALLS. A surgeon's salary isn't set by years of training anymore. It's set by: "What does it cost to run the AI that can do the same surgery?" Replicable = Cheap. 🧵 8/12 This leads to the paper's most devastating conclusion: Proposition 5: Labor's share of GDP converges to ZERO. Not because we're unemployed. Because wages are capped while GDP grows infinitely with compute. We become economically invisible. 🧵 9/12 "So who gets all the money?" The owners of compute. All wealth flows to whoever controls the computational resources. It's like the transition from feudalism (land = wealth) to capitalism (capital = wealth). Except now: Compute = wealth. 🧵 10/12 The paper extends this to science itself: Proposition 9-11: AGI can automate scientific discovery. This creates "compounded growth" (faster than before). But NOT a singularity—growth is still limited by how fast we can scale compute. Progress, but not infinite. 🧵 11/12 The title "We Won't Be Missed" isn't about job loss. It's about economic irrelevance. The paper proves: "If tomorrow half the population stopped working, no one would notice." Growth continues. Living standards rise. Just... without us mattering. 🧵 12/12 This isn't sci-fi speculation. It's formal economic modeling with propositions and proofs. The questions it raises: How do we distribute wealth in a zero-labor-share economy? What is work FOR if not economic value? Who should own the compute? We need answers. Fast.

You go tweet for English, person go enter comment section dey see "my dear ztfdyhhgghh ssubah" continue for English na https://t.co/Pzbec9yVLU

NativeScript for web v0.1.5! Add Nuxt&SSR support! Only @NativeScript to @vuejs & @nuxt_js & Native GitHub👇 https://t.co/JIGUvTxp1x

Nano Banana Pro🍌 & Z Image Turbo prompt: check alt texts https://t.co/BS1kXlpYHR

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wow i wonder for who this is for https://t.co/TWGWF5ftF1

@USBPChief You should be on the streets monitoring native born https://t.co/ZC440UXC72

🔬💡 Tackling fast-evolving bacterial disease takes cutting-edge tech. @Phagos_biotech uses AI through Amazon SageMaker to rapidly find & predict phage–bacteria matches, accelerating antibiotic breakthroughs from decades to just months. Learn more 👉 https://t.co/EmY0xE552q https://t.co/41Wb4neNXu

Honoured to be at the AFN Special Chiefs Assembly to engage on urgent priorities like community safety, mental health, and tackling the overrepresentation of Indigenous peoples in the justice system. Together, we’re building a future shaped by Indigenous leadership & partnership. https://t.co/NDPlpYmldm

Hitler was a fucking loser https://t.co/SlHRdI6F7u

Tech company looking for a tech person for nss, my mental health is at stake atm and I want to do reposting 🙏🏾. I come with grit, ambition and passion and knowledge ready to be improved and groomed 🙏🏾. https://t.co/QY7TVls4EV

NOW LIVE on Dexari: USDH pairs by @nativemarkets. Powered by Hyperliquid. https://t.co/dnqWxq7eMY

Tesla has added a dashcam tools repository on GitHub at teslamotors/dashcam This repo will help you extract FSD & vehicle telemetry from dashcam clips https://t.co/idXMf9dlmh

【好評受注中】 『saitom』さんイラスト「ミユ」 原型制作：あきもふ #wf2020w #ネイティブ https://t.co/ot6bEDoDmr https://t.co/hln823xukC

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【好評受注中】 『マッパニナッタ』さんイラスト 「ツインテちゃん」 原型制作：そんそーす https://t.co/ot6bEDoDmr #ロケットボーイ #エロホビ https://t.co/SKjE6PqMn1

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【好評受注中】 『朝凪』さんイラスト 「転校生のリリスちゃん」 原型制作：マッカラン24 https://t.co/ot6bEDoDmr #フロッグ #エロホビ https://t.co/itVNEvCqOQ

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never seen any other brand do this (name is NATIVE) and i kinda love to see it although products with way longer labels could probably not do this https://t.co/l9uzCu4NWo

【好評受注中】 『戦乱プリンセスG』より 「初芽局」 原型制作：エンガワ https://t.co/ot6bEDoDmr #バインディング #エロホビ https://t.co/CKxume15bZ

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【好評受注中】 『朝凪』さんイラスト 「サキュバス女王 リズベット,」 原型制作：ベンチマアク https://t.co/ot6bED7Akr #セカンドアックス #エロホビ https://t.co/8t8xsqNIQr

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【初お披露目】 『朝凪』さんイラスト 「オナ吉先生（仮）」 #バインディング #エロホビ https://t.co/bL0KsWeofx

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'Mind Prompt' , a collaboration with @Gogolitus 🪄 G⭐️M https://t.co/AddRIKzzvF

Nativ is based on a replica of the real world so locations have meaning, history and value, unlike most metaverse environments which are fictional settings. Find out more at https://t.co/Ikc6qtWt6X and download our whitepaper at https://t.co/iSASK6qll3 #nativerse #crypto #nfts #MetaverseWorlds

Every transaction made in the marketplace will be subject to Nativ duty. This sophisticated system will benefit Nativs and investors by generating further income for the economic system. Click here to read the whitepaper https://t.co/jflkOdyane https://t.co/49iypDY8rB

Nativ duty is a sophisticated system that will benefit Nativs and investors by generating further income for the economic system. Every transaction made in the marketplace will be subject to Nativ Duty. https://t.co/M2eQKxLxod

【好評受注中】 『きょくちょ』さんイラスト 「遠藤あいな メイドVer.」 原型制作：YOSHI/サラミ神 https://t.co/ot6bED7Akr #ピンクキャット #エロホビ https://t.co/VR5DKSLps0

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Unveiling our tech collaboration with @NativMetaverse Nativ metaverse ecosystem combines a virtual Earth environment with a simplified investment platform and thriving economy. Tenset is happy to support their technical development and help them bring their vision to life. More details: https://t.co/d7PWmRaWQH

Our inference-time scaling method AB-MCTS (NeurIPS’25 Spotlight✨) is already powering multiple real-world projects. By combining strong domain knowledge with inference-time scaling, we’re tackling important, hard problems that vanilla LLMs struggled with. 🚀 "Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search" 📄Paper: https://t.co/tz20wmJaDp 🌐Blog: https://t.co/xrVFegEeKd 💻Code: https://t.co/MFRJJNxtwy

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