Good morning, it’s Monday. If your bracket’s already busted like mine, take heart—AI marches on (sorry, that pun sounded better in my head). NVIDIA is veering hard into “AI factory” territory, aiming to become the operating system that runs it all. And soon, you might have a humanoid robot as a roommate—1X is testing them in homes next year.

Plus, in our latest installment of I Will Teach You to AI, we’re breaking down LLM sizes—small, medium, or large—and how to pick the right one for your needs.

Read on!

🗞️ ICYMI RECAP

Top Stories You Might Have Missed

🦿 1X Testing Humanoid Robots at Home: 1X will test its humanoid robot, Neo Gamma, in hundreds of homes by late 2025. Early adopters will help train the AI, though remote operators will still guide its movements. Full autonomy? Not quite yet—but it’s learning fast.

⛏️ High Schooler’s AI vs. Minecraft Showdown: A 12th-grader built MC-Bench, a site where AI models face off in Minecraft build-offs. Users vote on the best creation, helping measure AI’s creative progress and spot strengths beyond traditional benchmarks.

🤑 Microsoft Eyes AI Training Data Credits: Microsoft is researching ways to trace AI outputs back to specific training data, potentially enabling contributor recognition and payouts. Facing copyright lawsuits, this could reshape how AI training data is sourced and valued.

🎓 Sam Altman’s Career Advice for Gen Z: OpenAI’s CEO urges grads to master AI tools, calling it the new coding. AI literacy tops LinkedIn’s fastest-growing skills, with tech giants like Apple and Meta hunting for AI talent—and offering huge salaries for top expertise.

🏥 NHS Uses AI for Instant Skin Cancer Checks: Chelsea and Westminster Hospital now uses an AI app on iPhones to diagnose skin cancer in under five minutes with 99.9% accuracy. Nearly half of patients are discharged immediately—freeing up doctors for urgent cases.

⚖️ Will AI Replace Lawyers? 73% of legal experts plan to use AI, with tools like Harvey raising $100M. AI boosts efficiency in contract analysis, research, and drafting—but human judgment remains key for complex cases where nuance, ethics, and strategy still matter.

🔎 Claude’s Web Search Powered by Brave: Anthropic’s new web search feature for Claude seems to use Brave Search, as spotted in its subprocessor list. This follows Mistral’s Le Chat deal with Brave, mirroring OpenAI’s partnership with Bing for ChatGPT search.

🏛️ Federal Workers Slam GSA Over AI Focus: GSA staff grilled acting administrator Stephen Ehikian over layoffs and budget cuts after he showcased an AI chatbot. Frustrated workers demanded answers on job security and software access—not another AI demo.

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🏗 INFRASTRUCTURE

NVIDIA Wants to Be the Operating System of AI – And It’s Almost There

The Recap: NVIDIA is transforming from a leading graphics chipmaker into a full-scale AI infrastructure provider. CEO Jensen Huang’s recent GTC keynote and follow-up Q&A revealed how the company is positioning itself as the "operating system" of AI factories, providing the hardware and software backbone for future AI-powered applications.

Highlights:

• NVIDIA is now building an AI platform for cloud providers, tech vendors, and enterprises, moving beyond graphics into foundational AI infrastructure

• Huang described AI factories as systems for generating tokens used in modern foundation models, central to future revenue generation for businesses

• NVIDIA Dynamo is a new software tool designed to optimize AI inference by dynamically allocating GPU resources, increasing inference capacity by up to 30x with existing hardware

• NVIDIA announced the Blackwell Ultra GPU series and the future Vera Rubin architecture with advanced Arm-based CPUs and GPUs, looking ahead to 2028

• NVIDIA partnered with Cisco on optical networking and enterprise integration and collaborated with storage and hardware providers to optimize GPU-accelerated infrastructure

• Expanded focus on autonomous vehicles (deal with GM) and robotics, using real-time AI infrastructure to improve operational efficiency

• Huang emphasized that announcing future products early helps ecosystem partners prepare for upcoming technological shifts

Forward Future Takeaways:
NVIDIA’s strategic shift to AI infrastructure positions it at the heart of the next tech revolution. By becoming the backbone of AI-powered applications and physical AI, NVIDIA aims to profit from the overall growth of AI computing, even as competition intensifies. This shift could cement NVIDIA’s dominance in both hardware and software for years to come. → Read the full article here.

🧑‍🏫 FORWARD FUTURE PRO

Since the introduction of GPT-3 in 2020, the development of Large Language Models has seen an impressive acceleration. What was once considered a technological breakthrough has evolved into a vibrant ecosystem of diverse models that vary in size, architecture, capabilities, and accessibility. Companies such as OpenAI, Anthropic, Meta, Google, Mistral AI, and various open-source initiatives continue to drive innovation and push the boundaries of what is possible with artificial intelligence.

However, this rapid development has led to a complex landscape in which organizations and developers face the challenge of identifying the most suitable model for their specific use cases. Choosing the right model is not a trivial decision, as it can have far-reaching implications for factors such as performance, efficiency, costs, integration effort, and ethical considerations.→ Continue Reading Here.

⚔️ RIVALRY

Google’s High-Stakes Battle to Catch Up with OpenAI

The Recap:
Google’s internal scramble to catch up with OpenAI’s ChatGPT ignited a high-stakes sprint that ultimately birthed Gemini — a next-generation, multimodal AI model capable of integrating text, images, and more. The project reflects both a defensive maneuver to preserve Google’s dominance and an ambitious leap forward in AI innovation.

Highlights:

• In late 2022, Google launched an intense 100-day sprint to build Bard, its answer to ChatGPT, amid mounting fears that OpenAI’s product could cannibalize Google Search; Sissie Hsiao led the charge, backed by executives like James Manyika.

• Despite early setbacks — from clunky integration to internal restructuring — the initiative culminated in Gemini, a powerful language model that surpassed its predecessor and contributed to boosting Google’s market value by the end of 2023.

• Google adopted a startup-like pace, accepting higher risk, cutting staff, and accelerating development, all while wrestling with technical shortcomings and thorny ethical dilemmas.

• The merger of DeepMind and Google Brain under Demis Hassabis injected fresh momentum into the AI push, with longer-context reasoning among the early breakthroughs.

• While Gemini’s rollout has faced issues with inaccuracies and problematic outputs, Google has pushed forward aggressively, determined to stay in the race against OpenAI and other challengers.

• Privacy and security concerns became central to development, prompting Google to implement stricter compliance frameworks as Gemini moved closer to public deployment.

• Underpinning it all is Google’s strategic pivot: prioritize frontier AI research not just to compete, but to reassert dominance in a rapidly shifting technological landscape.

Forward Future Takeaways:
Google’s all-in bet on Gemini reveals the high pressure facing tech giants to stake their claim in the AI arms race. This is not just about keeping up — it’s about redefining how users interact with the internet itself. But as AI systems become more powerful and pervasive, the tension between innovation, regulation, and public trust will define the road ahead.→ Read the full article here.

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📽️ VIDEO

OpenAI Unveils NEXT-GEN AI Audio! - TTS, Speech-to-Text, Audio Integrated Agents, and more!

OpenAI announced new audio models, including advanced speech-to-text and text-to-speech with better emotion control. They also introduced tools to convert text agents to voice agents easily. Get the full scoop in Matt’s latest video! 👇

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