NVIDIA’s Big Announcements & Cute Robot

Also, agentic AI is coming for even influencer marketing now

Author

Jack Lajoie
March 19, 2025 • read time ~ 8 minutes

⚡️ Headlines

🤖 AI

AI chatbots struggle to predict March Madness brackets - Despite advancements, AI chatbots are not yet reliable for selecting accurate March Madness brackets.

Nvidia and Google DeepMind collaborate to enhance Disney's entertainment robots - Nvidia and Google DeepMind are partnering with Disney to develop Newton, a physics engine aimed at improving the expressiveness and functionality of Disney's next-generation entertainment robots.

Google introduces new collaboration features in Gemini - Google's Gemini platform now offers Canvas and Audio Overview features, enhancing collaborative and creative capabilities for users.

Meta's Llama AI model surpasses 1 billion downloads - Meta's Llama AI model has achieved over 1 billion downloads, marking a significant milestone in AI accessibility and adoption.

Nvidia unveils DGX Spark Station AI supercomputers - Nvidia introduces DGX Spark Station, a new line of AI supercomputers powered by Grace and Blackwell architectures, aiming to accelerate AI research and applications.

Adobe's AI agents can create personalized websites for customers - Adobe launches AI agents capable of autonomously designing personalized websites, enhancing customer engagement and experience.

AI search engines face challenges in accuracy and reliability - Despite advancements, AI-powered search engines like Adobe Analytics, Google, Perplexity, and OpenAI still encounter issues with accuracy and reliability in delivering search results.

🤳 Social Media

YouTube Shorts updates editing tools amid copyright concerns - YouTube Shorts enhances its editing features while addressing ongoing copyright issues to improve user experience.

Snapchat leverages movie and TV fandoms to boost engagement - Snapchat taps into the enthusiasm of movie and TV fans, offering new features to increase user interaction and brand partnerships.

🔬 Research

Study measures AI's ability to complete long tasks - A recent study proposes a new metric, the 50%-task-completion time horizon, to evaluate AI systems' capabilities in handling extended tasks, noting significant progress in AI autonomy.

⚖ Legal

JD Vance advocates for minimal AI regulation to benefit workers and innovators - Vice President JD Vance argues that reducing AI regulations will promote innovation and benefit American workers and tech leaders.

🔌 Plug-Into-This

Nvidia CEO Jensen Huang delivered the GTC 2025 keynote, unveiling significant advancements in AI computing, open-source software, and robotics. Key announcements included the Blackwell Ultra platform, the Dynamo inference system, and the 'Blue' robot developed with Disney Research and Google DeepMind.

  • Blackwell Ultra Platform: Nvidia's Blackwell Ultra platform offers a 40-fold increase in AI performance over its predecessor, Hopper.

  • Dynamo Inference System: The open-source Dynamo system accelerates and scales AI reasoning models, serving as an operating system for AI factories.

  • 'Blue' Robot: Developed in collaboration with Disney Research and Google DeepMind, 'Blue' is a Star Wars-inspired robot demonstrating Nvidia's advancements in robotics and the Newton physics engine.

  • Partnership with General Motors: Nvidia is collaborating with General Motors to develop custom AI systems for vehicles, factories, and robots, integrating Nvidia's accelerated computing platforms.

  • Product Roadmap: Following Blackwell Ultra's release in late 2025, Nvidia plans to launch the Vera Rubin platform in 2026, with Vera Rubin Ultra expected in 2027, indicating a rapid innovation cycle.

🦾 Nvidia seems determined to maintain the lead it gathered during the initial AI boom by shipping frequent hardware updates — and now also by integrating with the obvious next frontier in AI application, interactive robots. Who better to prepare us for life alongside cyborgs than Disney and Jensen Huang?

Agentic Marketing Technologies (AMT) has secured $3.5 million in seed funding, led by NFX, to revolutionize influencer marketing through AI automation. Their platform leverages an AI agent named Lyra to streamline campaign management, reducing manual workloads and enhancing efficiency.

  • AI-Driven Campaign Management: Lyra communicates with influencers using natural language, handling tasks such as booking campaigns, tracking results, processing payments, and addressing inquiries.

  • Autonomous Influencer Matching: The platform can independently identify influencers that align with specific campaign objectives, optimizing targeting strategies.

  • Technological Integration: AMT utilizes various AI models, including OpenAI's for general purposes, Google's Gemini for multimodal analysis, and Hume AI for tone assessment, ensuring tailored interactions.

  • Operational Efficiency: By automating processes, AMT reduces the typical nine-hour manual workload per influencer partnership to just five minutes, significantly enhancing productivity.

💁‍♀️ Traditional influencer marketing platforms often require extensive human involvement and charge per seat, so it certainly seems to be an area ripe for agentic AI innovation.

At Adobe Summit 2025, Adobe unveiled a suite of AI-driven innovations aimed at transforming customer experience orchestration (CXO) by integrating creativity and marketing. Central to these advancements is the Adobe AI Platform, designed to deliver personalized experiences at scale.

  • Adobe Experience Platform Agent Orchestrator: This new capability enables businesses to build, manage, and orchestrate AI agents across Adobe and third-party ecosystems, enhancing customer engagement and operational efficiency.

  • Expansion of Adobe Firefly: Adobe is integrating commercially safe AI models via its generative AI platform, Firefly, across various workflows and applications, optimizing the content supply chain and ensuring brand consistency.

  • Adobe GenStudio Enhancements: New capabilities in Adobe GenStudio streamline content production, management, and delivery, reducing bottlenecks and accelerating time-to-market for marketing campaigns.

  • Strategic Partnerships: Collaborations with companies like Acxiom, Amazon Web Services, Genesys, IBM, Microsoft, Publicis Groupe, RainFocus, SAP, ServiceNow, and Workday aim to enhance AI agent interoperability and drive unified customer experiences.

  • Adobe Experience Cloud Performance: The platform has seen a 50% year-over-year revenue growth in FY2024, with a 30% increase in new customers, powering over one trillion experiences annually.

🎨 Going big (as in, targeting enterprise more) makes a ton of sense for Adobe as they are likely feeling the pressure from small creative AI startups that are quickly providing cheaper solutions for individuals and creatives in spaces that Adobe previously had a stranglehold.

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