Good morning, AI enthusiast.

Microsoft is making a significant move in AI-generated video, as Bing now offers a new feature powered by OpenAI's Sora model. This development provides widespread, free access to Sora-related technology for the first time, allowing users to create videos from text.

While currently offering short, vertical videos, this tool democratizes powerful video creation capabilities. How will this broad accessibility impact the creator landscape and the quality of user-generated video content as more features are rolled out?

In today’s AI recap:

• Bing's free Sora-powered video creator

• Samsung's potential Perplexity AI integration

• Meta's AI-driven ad creation plans

• FDA's new 'Elsa' AI for efficiency

Bing Debuts Free Sora-Powered Video Tool

The Recap: Microsoft Bing has launched Bing Video Creator, a new feature within the Bing app that uses OpenAI's Sora model to generate videos from text prompts. This marks the first time Sora-related technology is widely accessible for free.

Unpacked:

• The tool is initially available on the Bing mobile app, with desktop access and Copilot Search integration coming soon; video generation can take minutes to hours.

• Users get 10 free video creations; afterward, "Fast" creations cost 100 Microsoft Rewards points each, while standard speed remains an option.

• Videos are currently 5 seconds long in a 9:16 vertical format, perfect for social sharing, with a 16:9 horizontal option planned for the near future.

Bottom line: This move significantly lowers the barrier to entry for AI video generation, putting powerful creative capabilities into more hands. Professionals and creators can now more easily experiment with turning ideas into compelling short videos.

Samsung Explores Perplexity AI for Galaxy Devices

The Recap: Samsung is reportedly in advanced discussions to integrate Perplexity AI's assistant and search features into its Galaxy smartphones, potentially replacing Google's Gemini as the default starting with the Galaxy S26. This move, detailed in a Bloomberg report, signals a significant shift in Samsung's AI strategy and a major investment in the AI startup.

Unpacked:

• The potential integration extends beyond just an app, with discussions including Perplexity powering parts of Samsung's browser, its Bixby virtual assistant, and even contributing to a new AI-infused operating system.

• While a full rollout with the Galaxy S26 is anticipated in 2026, Perplexity's app could appear on upcoming Galaxy devices, possibly including the Z Fold and Flip series, later this year.

• Samsung is also expected to be a lead investor in Perplexity's next funding round, as the AI company, which has already partnered with Motorola, aims to raise $500 million at a $14 billion valuation.

Bottom line: This potential collaboration highlights Samsung's drive to diversify its AI capabilities and reduce reliance on single providers like Google. For users, this could mean more powerful, integrated AI search and assistance directly on their Galaxy devices, fostering greater choice in the mobile AI ecosystem.

Meta's AI Takes Over Ad Creation

The Recap: Meta Platforms is gearing up to empower advertisers to fully create, personalize, and target campaigns using generative AI across Facebook and Instagram. This major shift, first reported by The Wall Street Journal, is anticipated by the end of 2026 and could reshape the advertising landscape.

Unpacked:

• Advertisers will simply provide a product image and a budget, and Meta's AI plans to generate the entire ad—including imagery, video, and text—and then suggest optimal user targeting.

• While this signals a significant change, Meta's CMO clarified that the company believes in the future of agencies, seeing AI as a tool to free up creative resources, especially benefiting small businesses that lack agency support.

• This ambition is backed by serious investment, as Meta plans to boost its spending on AI infrastructure, signaling a deep commitment to making AI central to its advertising powerhouse.

Bottom line: This development points towards a future where AI significantly automates ad creation, potentially leveling the playing field for businesses of all sizes. The move underscores AI's growing role in making marketing more accessible and data-driven.

Where AI Automation Experts Share Their Best Work

Join Our AI Automation Community

Join our FREE community AI Automation Mastery — where entrepreneurs, AI builders, and AI agency owners share templates, solve problems together, and learn from each other's wins (and mistakes).

What makes our community different:

• Real peer support from people building actual AI businesses

• Complete access to download our automation library of battle-tested n8n templates

• Collaborate and problem-solve with AI experts when you get stuck

Dive into our course materials, collaborate with experienced builders, and turn automation challenges into shared wins. Join here (completely free).

FDA Deploys AI 'Elsa' for Efficiency

The Recap: The U.S. Food and Drug Administration (FDA) has launched "Elsa," an agency-wide generative AI tool, to enhance operational efficiency. This new system, detailed in an official announcement on June 2, 2025, aims to help streamline scientific reviews and other critical agency tasks.

Unpacked:

• Elsa helps FDA staff streamline tasks by summarizing adverse drug events, generating code for databases, and expediting clinical protocol reviews.

• Built on Amazon Web Services' GovCloud, the AI ensures sensitive information remains secure and importantly, does not train on proprietary data submitted by drug and device manufacturers.

• The accelerated deployment, rolled out ahead of schedule, aims to quickly integrate AI for faster evaluations, though some reports indicate internal discussions on realizing its full capabilities across diverse agency tasks.

Bottom line: This initiative underscores a significant commitment by a major regulatory body to use AI for improving operational performance. Professionals should monitor how such internal AI tools drive efficiency in the public sector and potentially inspire similar adoptions elsewhere.

The Shortlist

Agno introduced a full-stack, model-agnostic framework for building high-performance multi-agent AI systems with built-in memory, knowledge, and reasoning capabilities.

Microsoft unveiled NLWeb, a new protocol designed to enable conversational AI interfaces to interact with website content by leveraging large language models' understanding of Schema.org data.

Microsoft announced a $400M investment in Switzerland to expand its AI and cloud infrastructure, including bolstering its four existing data centers and supporting local innovation.

Researchers explore reversible computing principles for significantly more energy-efficient AI, with startups like Vaire Computing now working to commercialize chips based on this technology that processes data both forwards and backward.

Signing off,

David, Lucas, Mitchell — The Recap editorial team