HowToGetMoneyAndTruth
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@HowToMoneyTruth
Here's the TOP 5 inexpensive BRANDED things on Amazon: https://t.co/NTt6vvRupR
It’s no secret that we intend to launch Starship a lot, targeting thousands of flights per year. That cadence will require the ability to launch from many different locations, so we are constantly exploring to find viable sites to expand Starship operations in the future, both domestically and internationally
An eventful first day at Nabanna as the Chief Minister of West Bengal. Today, we transformed promises into action. Chaired the first Cabinet Meeting and took 6 landmark decisions to reclaim the glory of our State:- 1) Ayushman Bharat: Finally, the people of West Bengal will receive the benefits of the Hon'ble PM’s flagship health care scheme. 2) Securing Borders: Ensured the immediate transfer of land to the BSF for Border Fencing, which is to be completed within 45 days. 3) Empowering Youth: As promised in the Manifesto, increased the age limit for State Government job seekers by 5 years to support those who lost precious time during the previous regime. 4) Re-established the Constitutional Modalities: Officially implemented the Bharatiya Nyaya Sanhita (BNS) and gave the green light for the Census to ensure proper representation. 5) Justice for Martyrs: Taken steps for the fulfillment of commitment towards the well-being of the 321 families who lost their loved ones while standing for democracy in West Bengal. 6) Removing obstruction for the implementation of Central Government Schemes - Paving way for smooth implementation of Central Government Schemes like PM Vishwakarma, Pradhan Mantri Fasal Bima Yojana, PM Ujjwala 3 etc... From allocating portfolios to my esteemed colleagues Shri @DilipGhoshBJP, Smt. @paulagnimitra1, Shri @NisithPramanik, Shri Ashok Kirtania, Shri Khudiram Tudu to meeting with top Bureaucrats and Administrative Officials, the message is clear - this is a Government "Of the People, By the People, For the People," not For the Party, unlike how the previous Govt operated. The era of 'Asol Poribortan' has begun. Jai Hind 🇮🇳
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 ⬇️
