
Norwegian Nerd
23.2K posts

Norwegian Nerd
@ShipGeneration
Passionate about tech and creating, whether it’s memes or hands-on DIY projects. Free speech, bold ideas, and plenty of laughs. I love running! $TSLA Trump2024




$ASTS: 🚨FCC PAVES THE PATH FOR SPACEX TO OPERATE THEIR OWN TERRESTRIAL NETWORK AND BE THEIR OWN MOBILE NETWORK OPERATOR WITHIN YEARS "Today’s decision allows SpaceX to use its new spectrum flexibly for terrestrial, space-based, and hybrid network architectures. That flexibility is subject to firstof-its-kind performance obligations designed to be technologically neutral. SpaceX must meet demanding standards to use its spectrum intensively and provide meaningful, reliable connectivity to the public—whether D2D, terrestrial, or both—within years." CC: @TMobile @MikeSievert



Announcing agentic performance benchmarking for Speech to Speech models on Artificial Analysis. We use 𝜏-Voice to measure tool calling and customer interaction voice agent capabilities in realistic customer service scenarios Even the strongest Speech to Speech (S2S) models today resolve only about half of realistic customer service scenarios end-to-end - a meaningful gap relative to frontier text-based agents on the same tasks. Voice channels introduce significant complexity: challenging accents, background noise, and packet loss, all while requiring fast responses, consistency across long multi-turn conversations, and reliable tool use. Performance also varies considerably by audio condition: in clean audio some models perform notably better, but realistic conditions continue to pose a challenge. Conversation duration also varies meaningfully across models, with implications for both customer experience and operational cost. About 𝜏-Voice: Our Agentic Performance benchmark is based on 𝜏-Voice (Ray, Dhandhania, Barres & Narasimhan, 2026), which extends 𝜏²-bench into the voice modality to evaluate S2S models on realistic customer service tasks. It measures multi-turn instruction following, support of a simulated customer through a complete interaction, and tool use against simulated customer service systems. The simulated user combines an LLM-driven decision model with realistic audio synthesis: diverse accents, background noise, and packet loss modelled on real network conditions. This complements our Big Bench Audio benchmark measuring intelligence and Conversational Dynamics (Full Duplex Bench subset) benchmark measuring conversational naturalness. Scores are the average of three independent pass@1 trials. We evaluate under realistic audio conditions using the 𝜏²-bench base task split across three domains: ➤ Airline (50 scenarios): e.g., changing a flight, rebooking under policy constraints ➤ Retail (114 scenarios): e.g., disputing a charge, processing a return ➤ Telecom (114 scenarios): e.g., resolving a billing issue, troubleshooting a service problem Task success is determined by deterministic checks against expected actions and final database state, consistent with the 𝜏²-bench evaluator. Key results: xAI's Grok Voice Think Fast 1.0 is the clear leader at 52.1%, averaging 5.6 minutes per conversation, the second-longest overall. OpenAI's GPT-Realtime-2 (High) (39.8%, 3.0 min) and GPT-Realtime-1.5 (38.8%, 4.8 min) follow, with Gemini 3.1 Flash Live Preview - High close behind at 37.7% (3.8 min). Speech to Speech is a fast evolving modality and we expect movement in rankings as we continue to add new models with these capabilities, and model robustness improves. Congratulations @xAI @elonmusk! See below for further detail ⬇️













🚨 Arcadia Mayor Eileen Wang in California has been charged with acting as an illegal agent of the People’s Republic of China in the United States. Mayor Wang admitted to acting as a foreign agent from at least 2020 through 2022 - promoting PRC propaganda in the U.S. and acting at PRC’s direction to promote their interests. She has agreed to resign from office and plead guilty. @FBI and our federal partners continue to move aggressively to root out this kind of influence in American institutions all over the country. nypost.com/2026/05/11/us-…







750,000 cars built at Giga Berlin. Here’s what it takes.















