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Which AI model actually fits the job? You won't know until you experiment. The Alibaba Cloud Token Plan makes it easier to try, test and compare, with: · One credit pool across Qwen, Wan, HappyHorse, DeepSeek and GLM · Text, audio, image and video capabilities · Clearer visibility into your AI usage And it’s easy to start, with your first month priced at just $4. Explore the Token Plans: #AlibabaCloud# #TokenPlan# #Qwen# #Wan# #HappyHorse# #DeepSeek# #GLM# #MultiModelAI# #GenerativeAI# #AIWorkflow#
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Multimodal reasoning has a latency problem. More video frames leads to more waiting. We built Damage Scout with Gemma 4 on Cerebras, running at over 2,300 toks/s, to show what fast multimodal inference unlocks. Damage Scout samples frames from a rental car walkaround, sends them to Gemma 4, gets back structured findings and box coordinates, then renders an annotated damage report in under 6 seconds. Same task. Same frames. A complete different experience powered by Cerebras ⚡️
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The multi-model advantage for the agentic era: Spanner is a unified multi-model database that natively integrates relational, key-value, graph, full-text search, and vector search on a single, globally consistent engine. In the 2025 Gartner® Critical Capabilities for Cloud Database Management Systems for Operational Use Cases report, Google (Spanner) ranked #1# in the Lightweight Transactions Use Case for the second consecutive year—in our opinion, proving it is the most efficient engine for modern microservices and event-driven architectures. Learn more →
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How do we ensure multimodal foundation models remain reliable when faced with real-world distribution shifts? Meet Naman Goyal and Jenny Ni today at the Google booth (#B206#) to explore how small changes like cropping, dimming, or compression can impact both a model's answers and its verification evidence. Discover why deployment reliability is tested trust, not just a clean benchmark score. #ICML2026#
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Our new multi-model agentic security system brings together more than 100 specialized agents across frontier and custom models to find exploitable bugs, delivering top performance on the CyberGym benchmark. We used it ahead of Patch Tuesday to help find and fix 16 vulnerabilities. Today we’re announcing that customers can sign up to test it in private preview.
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Pluralis v0.1 is a novel multimodal, multi-regional, and multilingual dataset built from a culture-first perspective. Meet Lora Aroyo today at 9:30am at the Google booth (#B206#) to explore localized safety evaluation paradigms. #ICML2026#
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Sneak peak of the new multimodal Rankings page 👀 Google's Veo 3.1 climbing the video leaderboard
Supporting @MITEECS and @nlp_mit’s Multimodal Machine Learning course (Spring 2026). 🎓 Students are leveraging the multimodal capabilities of Kimi K2.5 to power their final research projects. We look forward to seeing the innovative applications that will emerge this semester. 🔗 Happy coding! ✨
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499 Detalks [CN] 225: Deconstructing the Agentic Web: Multi-Model Intelligent Routing & On-Chain Financial Infrastructure Accelerating AGI Landing Time:28, April, 2026, 20:00 (UTC+8) Hosted by 499 and co-hosted by @BAI_AGI, this Space explores how intelligent model routing, on-chain data infrastructure, and dedicated agent financial rails can bridge the gap and accelerate AGI into the real world. Mod: Charis @charis_em, 499 Core Member Guest Speakers: Jtsong @Jtsong2, Head of APAC, @0G_labs Anita @Anitahityou, APAC, @SentientAGI Leslie @leslieloser_ , Content Creator Mia @Artistkatty_ , Growth from Starchild Rika @rayrayweb5, KOL Key discussion topics include: -- From “chat tools” to “autonomous economic entities”: What is the single biggest bottleneck stopping AI Agents from true mass adoption -- Multi-model intelligent routing & data orchestration: How far has the industry come in routing across multiple models and data sources -- Agent Wallets & on-chain credit systems: The power of Machine-to-Machine (M2M) value transfer when every AI has its own wallet Space Link: Telegram Group:
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