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  • 😳 Alibaba just shocked Silicon Valley

😳 Alibaba just shocked Silicon Valley

Plus: Google introduced a new feature to edit photos by talking... and we got a masterclass for you to learn how to build AI agents

Today, we’re seeing Google push AI even deeper into daily life by letting you edit photos just by talking. Also Alibaba is staking its claim in the AI race with a trillion-parameter model designed for agents that think and act with less human input.

In today’s post:

  • You can now edit photos in Google Photos… by talking

  • Alibaba just launched a trillion-parameter AI model

  • $500B AI project just added five new sites

  • Best AI tools to use right now

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UPGRADE

Google’s AI now edits your photos from a simple voice prompt

Image Credits: Google

Google just made photo editing on Android way simpler. Its Gemini-powered tool lets you edit photos just by describing what you want, no sliders or menus needed.

Here’s everything you need to know:

  • The new feature is live in Google Photos for Android users in the U.S.

  • You can edit photos by talking or texting with the AI using plain English

  • Say things like “make it brighter” or “remove the person in the background”

  • Gemini can also offer creative edits like fantastical effects or image restoration

  • Follow-up commands are supported for deeper edits and refinements

  • Users can tap “Help me edit” to get started or use AI suggestions like “make it better”

  • It also includes C2PA Content Credentials marking images created or modified by AI

Here’s what I think:

This is the clearest signal yet that AI editing will become the default. What used to take time, skill, or guesswork now takes a sentence. But it also raises a subtle question: as AI editing gets easier, will our photos get better or just less honest?

LAUNCH

China’s biggest AI model yet shows Alibaba’s shift from commerce to compute

Image Credits: South China Morning Post

At its annual conference, Alibaba unveiled Qwen3-Max; its largest AI model to date, with over 1 trillion parameters. It’s a signal that Alibaba is serious about competing globally in the AI arms race.

Here’s everything you need to know:

  • Qwen3-Max is Alibaba’s most powerful model, with over 1 trillion parameters

  • It excels in autonomous agents and code generation, needing fewer prompts than typical chatbots

  • Alibaba says it outperformed models like Claude and DeepSeek-V3.1 in third-party tests

  • CEO Eddie Wu confirmed the company will increase AI spending beyond its initial $53B plan

  • Wu called the speed of AI development “beyond expectations”

  • Alibaba also revealed Qwen3-Omni, a multimodal system for smart glasses and AR/VR interfaces

  • The company is positioning itself as a full-stack AI provider spanning models, chips, and cloud infrastructure

Here’s what I think:

This isn’t just a bigger model, it’s a bigger bet. Alibaba’s trillion-parameter leap shows how China’s tech giants are responding to U.S. AI dominance. But the real competition won’t be in parameter counts, it’ll be in what these models actually help people do.

GROWTH

OpenAI’s Stargate expansion puts it ahead of schedule

Image Credits: Open AI

OpenAI, Oracle, and SoftBank are going big on AI infrastructure. They just unveiled five new data center sites under the Stargate initiative bringing the project closer to its massive $500B, 10-gigawatt goal.

Here’s everything you need to know:

  • Stargate now has nearly 7 gigawatts of planned capacity, up from 0 in January

  • The five new U.S. sites include locations in Texas, New Mexico, Ohio, and the Midwest

  • Together, they’re expected to create over 25,000 onsite jobs and thousands more indirectly

  • Oracle is delivering NVIDIA GB200 racks to the Abilene site, already operational

  • SoftBank is developing fast-build data centers in Lordstown and Milam County

  • The new sites were chosen from 300+ proposals across 30 states

  • Stargate’s early progress is being credited to policy tailwinds and presidential support

This isn’t just an infrastructure story, it’s a land grab for AI scale. Whoever controls compute, controls capability. Stargate’s speed isn’t just ambition; it’s strategy. The bigger question now is whether this kind of centralization will shape AI's future or stall it.

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