Dear Readers,

Every week, the frontier moves again. This time, it’s not just software getting smarter, it’s matter itself learning to think. NVIDIA unveiled NVQLink, fusing GPUs with quantum processors; OpenAI laid out a concrete path to superintelligence by 2028; and Google joined the game with Pomelli, an AI that can design your next marketing campaign from scratch. The edges between thought, computation, and creation are starting to blur—and the pace is breathtaking.

In Today’s Issue:

🧠 OpenAI maps its path to superintelligence

⚛️ NVIDIA unveils a breakthrough interconnect for hybrid quantum-classical computing

🏭 NVIDIA pushes into "Physical AI" with its Mega Omniverse Blueprint

💻 U.S. is building a massive AI supercomputers with NVIDIA and Oracle

✨ And more AI goodness…

All the best,

Has Google just killed all creative and marketing start-ups? Pomelli is a new AI-powered marketing tool from Google Labs in partnership with DeepMind, aimed at helping small-to-medium businesses rapidly produce on-brand social media campaigns. It analyzes your website to build a “Business DNA” profile (tone, colors, fonts, imagery), then proposes campaign ideas and generates marketing assets you can edit and download.

OpenAI Update and Q&A with Sam Altman and Pachocki

What an evening! In a bold strategic shift, OpenAI formally moved from its original nonprofit roots toward a for-profit (or hybrid) structure, targeting greater-scale investment and growth. Speculation has also mounted around whether OpenAI will pursue an IPO. According to reports, while an initial public offering is possible: “OpenAI CEO Sam Altman said in a call Tuesday that “the most likely path” for the newly formed business is that it becomes publicly traded on the stock market"

Later that evening, OpenAI held a livestream. CEO Sam Altman and Chief Scientist Jakub Pachocki gave an outlook on the future of OpenAI – and provided some deep insights.

OpenAI plans to introduce automated AI research interns by September 2026, followed by fully autonomous AI researchers by March 2028—a milestone Altman described as the point when “science will be completely AI-automated.” Both leaders expressed strong confidence that Deep Learning alone could lead humanity to superintelligence within ten years, calling the outlook “very bright.” They revealed that around $1.4 trillion has already been invested in global datacenter infrastructure, with plans to ramp up to 1 GW-scale factories per week, bringing the once-unthinkable $7 trillion goal within reach. While internal models are not yet vastly superior to public releases, Pachocki noted that scaling laws are holding and that a massive leap in model quality is expected by late 2026. Model costs, Altman added, have dropped by a factor of 40 and continue to fall. OpenAI also acknowledged that automation will likely transform labor markets, possibly leading to widespread job displacement, even as new AI-driven fields emerge.

Why it matters: Because OpenAI’s timeline implies that AI may soon shift from assisting research to conducting it independently. It also shows the roadmap for AGI and ASI, and more importantly, Sam Altman is confident that these goals can soon be achieved through deep learning.

Sources:
🔗 https://x.com/kimmonismus/status/1983240872113394048

🔗 https://openai.com/index/built-to-benefit-everyone/

🔗 https://apnews.com/article/openai-chatgpt-nonprofit-microsoft-c661df3242766d6b0ddbab401ad1fd84

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NVIDIA just unveiled NVQLink, a breakthrough interconnect bridging quantum processing units (QPUs) and GPUs for real-time collaboration. With latency as low as four microseconds, it allows seamless CUDA-Q calls, unlocking hybrid quantum-classical workflows once deemed impossible. It’s the missing link that could accelerate the race toward practical quantum computing.