Nvidia Launches Robotics AI Suite with 7B-Parameter Reasoning Model Ask ChatGPT

✨TodayOnAI’s Daily Drop

• Nvidia Launches Robotics AI Suite with 7B-Parameter Reasoning Model Ask ChatGPT

• Datumo Raises $15.5M to Bring No-Code AI Safety Tools to the Enterprise

• The AI Billionaire Boom: Record Fortunes, Unprecedented Speed

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

Nvidia AI

Nvidia Launches Robotics AI Suite with 7B-Parameter Reasoning Model Ask ChatGPT

🚀 TodayOnAI Insight: Nvidia used SIGGRAPH to debut a suite of robotics-focused AI tools, led by Cosmos Reason—a 7B-parameter vision-language model designed to give robots “reasoning” capabilities for planning and decision-making in the physical world. The launch underscores Nvidia’s push to make robotics the next major frontier for its AI GPU ecosystem.

🔍 Key Takeaways:

• Cosmos Reason enables embodied agents to plan actions using memory and physics-based understanding, targeting robot planning, video analytics, and data curation.

• Cosmos Transfer-2 accelerates synthetic dataset creation from 3D simulations or spatial inputs, alongside a distilled, speed-optimized version.

• New neural reconstruction libraries support realistic 3D world simulation from sensor data, now integrated into the open-source CARLA simulator.

• Omniverse SDK updated with enhanced simulation tools for robotics workflows.

• Hardware support includes the RTX Pro Blackwell Server for unified robotics workloads and DGX Cloud for cloud-based robotics development.

💡 Why This Stands Out: Nvidia’s robotics push blends its GPU dominance with advanced simulation, synthetic data generation, and embodied AI reasoning—key ingredients for scaling real-world autonomy. By unifying hardware, simulation, and AI models, Nvidia is positioning itself as the backbone for next-gen robotics, much as it did for generative AI in data centers. The question is no longer if robots will benefit from large AI models, but how quickly they’ll move from labs to real-world deployment.

Datumo/AI

Datumo Raises $15.5M to Bring No-Code AI Safety Tools to the Enterprise

🚀 TodayOnAI Insight: Seoul-based Datumo, a former data-labeling startup turned AI evaluation platform, has raised $15.5M to help enterprises test, monitor, and improve AI models without deep technical expertise. The funding comes as concerns over AI safety, explainability, and trust grow across industries.

🔍 Key Takeaways:

• Originated in 2018 as SelectStar, a reward-based data-labeling app, before evolving into a full-stack AI evaluation company.

• Now serves 300+ clients, including Samsung, LG, Hyundai, Naver, and SK Telecom, generating ~$6M revenue in 2024.

• Offers Datumo Eval, a no-code platform that auto-generates test data and flags unsafe, biased, or incorrect AI outputs.

• Differentiates with licensed datasets, including structured human reasoning from published books—data often too messy for competitors to clean.

• New funding from Salesforce Ventures, KB Investment, ACVC Partners, and SBI Investment will expand R&D and global reach in South Korea, Japan, and the U.S.

💡 Why This Stands Out: Datumo’s pivot from manual labeling to automated trust and safety evaluation mirrors a larger market shift from building AI to governing it. With tech giants like Meta making billion-dollar plays for training data, demand for clean, high-quality datasets and robust evaluation tools is set to intensify. The bigger question is whether AI safety can scale as fast as AI capabilities.

AI

The AI Billionaire Boom: Record Fortunes, Unprecedented Speed

🚀 TodayOnAI Insight: Prime Video is testing AI-assisted dubbing for 12 licensed titles, combining machine translation with human oversight to improve accessibility. The feature currently supports English and Latin American Spanish, marking Amazon’s latest push to integrate AI into its streaming platform.

🔍 Key Takeaways:

• Hybrid AI-Human Dubbing: AI-generated voiceovers are refined by localization experts to ensure translation accuracy and natural tone.

• Initial Rollout: The feature launches with 12 titles, including “El Cid: La Leyenda,” “Mi Mamá Lora,” and “Long Lost,” which previously lacked dubbing.

• Language Support: Available in English and Latin American Spanish, with potential expansion depending on viewer response.

• Broader AI Push: Prime Video already uses AI in features like X-Ray Recaps and Dialogue Boost to enhance the viewer experience.

💡 Why This Stands Out: AI dubbing helps unlock global audiences for content that might otherwise be inaccessible due to language barriers. As streaming platforms compete for international growth, Prime Video’s hybrid approach reflects a strategic blend of automation and human quality control. Expect AI-assisted localization to become standard across major services.

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📰 More from the AI World

• Elon Musk confirms shutdown of Tesla Dojo, ‘an evolutionary dead end’

• Apple’s new Siri may allow users to operate apps just using voice

• Meta Launches Aria Gen 2 to Power the Future of Perception & Contextual AI.

• Nvidia unveils new Cosmos world models, infra for robotics and physical uses Rebecca Szkutak AI Enterprise

🧰 Today’s AI Toolbox Pick

• 🍋LemonSqueezy (Finance Tool): Handles the tax compliance burden so you can focus on more revenue with less headache.

• 💻ZipWP (Web Design Tool): Creates stunning websites in seconds.

• ⚙️DupDub (Content Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.