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Todayโ€™s Highlights:

  • ๐Ÿ“‰ ChatGPT Uninstalls Jump 295%

  • ๐Ÿš€ Nvidia Invests $4 Billion in Photonicsย 

  • ๐Ÿคฏ Someone Tried to Steal Claude

  • ๐Ÿš— Nvidia Unveils First VLM for Self-Driving AI

  • ๐Ÿ‘‘ Microsoft Muscles Into the AI Enterprise Crown

  • ๐Ÿ“ˆ Runway Gen 4.5 Takes #1 Spot in AI Videoย 

  • ๐Ÿค OpenAI + Accenture Bring AI Agents to Corporatesย 

  • ๐Ÿ’ฅ Kling Omni Launch Week Sparks โ€œOmniverseโ€ Hype

Read Time: 4 mintue

People Are Using These AI Hustles to Quit 9-5sย 

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LATEST AI NEWS

OPENAI

Image Source: GiulioBenzin/DepositPhotos

After OpenAIโ€™s announcement that ChatGPT would be deployed on classified U.S. military networks, many users reacted strongly โ€” and it showed up in the app data.ย 

The Details:

  • U.S. mobile uninstalls of the ChatGPT app spiked 295% day-over-day on February 28, 2026 โ€” far above its typical uninstall rate.ย 

  • This surge occurred right after news broke that ChatGPT would be used under a Pentagon partnership.ย 

  • In the same period, downloads of rival AI assistant Claude climbed significantly, with Claude reaching the No. 1 position on the U.S. App Store.ย 

  • App reviews reflected the shift in sentiment too: one-star ratings for ChatGPT shot up sharply while five-star reviews declined.ย 

Why it matters:

The data shows how public sentiment and ethics concerns can influence user behavior, especially around AIโ€™s role in sensitive sectors like defense. A sharp uninstall spike, coupled with growing interest in alternatives, highlights that trust and positioning remain crucial in the competitive AI app landscape.

NVIDIA

Image Source: ย Cath Virginia / The Verge

Nvidia is making a major strategic move to power the next generation of AI data centers by investing heavily in photonic technology โ€” a key frontier for faster, more efficient AI computing.ย 

The Details:

  • Nvidia announced that it will invest $4 billion in photonics through two major partnerships, putting $2 billion each into Lumentum and Coherent, companies focused on optical and laser components vital for AI infrastructure.ย 

  • These investments come with multi-year agreements and include purchase commitments and future access rights to advanced optical technologies.ย 

  • The funds are aimed at accelerating research, development, and expanded manufacturing capacity in the United States.ย 

  • Photonics technologies use light instead of electrical signals for data transfer, enabling higher bandwidth, lower latency, and better energy efficiency for large-scale AI systems. ย 

Why it matters:

As AI models grow larger and more complex, data movement between chips becomes a bottleneck. Nvidiaโ€™s investment signals a shift toward silicon photonics as a core enabler for future AI โ€œfactories,โ€ helping the industry scale processing power more efficiently and remain competitive in high-performance computing.ย 

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MORE AI & TECH NEWS

  • Microsoft is embedding Copilot across Office and launching tools like WorkIQ, Agent 365, and Foundry to lead in enterprise AI. Itโ€™s positioning itself as the core of corporate AI infrastructure.

  • Appleโ€™s AI head John Giannandrea is retiring; Amar Subramanya (ex-Microsoft/Google) will take over as Apple struggles with poor Apple Intelligence reception while competitors invest heavily in AI compute

  • Kling AI kicked off Omni Launch Week, teasing its โ€œOmniverseโ€โ€”a bold step into high-end video creation. Creators are hyped, but some note persistent issues like lip-sync glitches.

  • Runwayโ€™s Gen 4.5 model now tops the Video Arena leaderboard, praised for realistic motion, physics, and camera workโ€”beating Google Veo 3 and OpenAI Sora 2 Pro.

  • Alibaba, ByteDance, and DeepSeek are training AI models in Southeast Asia to bypass U.S. chip export rules. DeepSeek is also working with Huawei on alternative chip solutions.

  • OpenAI & Accenture are partnering to scale AI agent adoption in big enterprises via ChatGPT Enterprise and automation programsโ€”training thousands of staff.

  • AI-generated music is dominating charts and streaming platforms. Most listeners canโ€™t distinguish it from human-made songs, sparking concerns around ethics, job loss, and the fading value of human stories in music.

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