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@omarsar0
Building and measuring frontier intelligence @dair_ai • Prev: Meta AI | Galactica LLM | Papers with Code | Elastic | PhD
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Arena invited coding and web-development tests on November 11; its announcement said Code Arena scores were coming soon.
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Expo’s paid-plan service gives agents cloud iOS and Android test environments, with recordings and browser-based handoffs, the company says.
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According to @omarsar0, Keenable built its own search stack and uses agent queries to improve it.
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Google’s speed-focused model rolls out across Search, Gemini and developer tools, with free app access routed through automatic selection.
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Zeromatter reportedly spent four years building a shared simulation platform for cars, drones, aircraft and robots.
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Posts describe agents sharing files and logins on one cloud computer, though access and pricing remain unverified.
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Omarsar0 reports zero data retention for Concentrate AI’s BAA-covered routes, but advises checking model and provider coverage.
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Posts describe Intangible 2.0’s editable 3D scenes, with camera controls and changes that carry into subsequent renders.
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Plurai Simulation reportedly checks promised refunds against simulated billing records instead of taking an AI agent’s “done” on faith.
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Google says Gemini Decision 1 handles up to 1,000 questions per request, at $0.10 per million input tokens.
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DateBench reports eight bot questions across 1,277 dating-app conversations, but that doesn’t prove everyone else was fooled.
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Willow reportedly leads on edit-free drafts in Dictation Bench, while Claude leaves a smaller share of characters needing correction.
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Posts pitch Nod as n8n Labs’ experimental agent for browser chores, with provider choice and Windows 11 preview support.
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The new service combines AI agents, researchers and computing power to adapt models for robotics and other physical-AI workloads.
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Human-guided AI helped verify specific Signal protocol protections in four weeks, under assumptions that include perfect cryptography.
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At one million tokens, i14 reports up to 32x as many requests per server as its baseline.
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Robbyant’s collection lists two variants, while omarsar0 describes a shared Transformer learning from different kinds of tactile sensors.
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Rohan Paul says Emma’s face, voice and conversational reactions come from recordings made with an actress.
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His early-access testing favored one agent for coding projects, but clear goals and human oversight still mattered.
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The reported workflow pairs brokerage explanations with text messages asking users to approve suggested trades.