Good morning. It’s Wednesday, May seventh.
On this present day in tech history: 2014: Scientists created the primary realistic “virtual universe,” simulating 13 billion years of cosmic evolution in a cube with 350 million light-year-long sides and unprecedented resolution.
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Google’s Gemini 2.5 Pro
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OpenAI’s Recent Playbook on Nonprofit Control
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Lightricks Launches Open-Source AI Video Model
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4 Recent AI Tools
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Latest AI Research Papers
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Today’s trending AI news stories
Google’s Gemini 2.5 Pro Leads AI Coding, Now With Video-to-App Generation
Google’s Gemini 2.5 Pro I/O Edition has emerged because the leader in AI coding, surpassing Claude 3.7 Sonnet with a top rating of 1499.95 on the WebDev Arena leaderboard. This version enhances web app generation, UI design, and developer workflows, due to improved error reduction and performance calling. It supports video content evaluation, allowing users to generate applications directly from video input.
The update also facilitates creating code-based visualizations from images and automates web project feature integration, equivalent to CSS styling for elements like color and spacing. Developers can now use Gemini 2.5 Pro for multimodal tasks, combining text, images, video, and code to streamline complex programming tasks. For instance, it enables the creation of interactive learning platforms from videos, like converting YouTube content into learning apps. Available via Gemini API and Vertex AI, the update guarantees greater reliability, fewer errors, and no price increase over the previous version.
Moreover, Google’s latest “Simplify” feature for iOS allows users to convert complex text into simpler, digestible content, enhancing user understanding particularly for difficult topics like science and technology without losing key details. This feature is rolling out to iOS users this week. Read more.
We’re releasing an updated Gemini 2.5 Pro (I/O edition) to make it even higher at coding. 🚀
You’ll be able to construct richer web apps, games, simulations and more – all with one prompt.
In @GeminiApphere’s the way it transformed images of nature into code to represent unique patterns 🌱
— Google DeepMind (@GoogleDeepMind)
3:04 PM • May 6, 2025
OpenAI’s Recent Playbook on Nonprofit Control, Windsurf Buyout and Microsoft Standoff
OpenAI has reversed its decision to transition right into a for-profit entity, confirming that its nonprofit will retain control over the corporate’s operations moving forward. As a part of this strategic pivot, it can convert its for-profit arm right into a Delaware public profit corporation under its nonprofit parent, replacing the capped-profit model with standard shares, while assuring regulators and AI-safety advocates that control stays unchanged.
4 facts about our structure:
-OpenAI will proceed to be controlled by the present nonprofit
-Our existing for-profit will turn into a Public Profit Corporation
-Nonprofit will control & be a major owner of the PBC
-Nonprofit & PBC will proceed to have the identical mission
– OPENAI (@OpenAI)
6:04 PM • May 5, 2025
Financially, OpenAI plans to chop the ~20% revenue share it pays Microsoft—its $13.75B investor and exclusive Azure partner—to 10% across all partners by 2030. While SoftBank’s $40B investment talks remain on course, Microsoft has yet to endorse the brand new structure, searching for guarantees that its ownership stake is not going to be diluted. The corporate can be acquiring coding start-up Windsurf for ~$3B, its largest buyout so far, strengthening its developer tools against rivals like GitHub Copilot and Claude Code.
Although a philanthropic advisory board is planned, observers query whether it can hold real sway or merely echo the symbolic oversight seen at other tech giants. Legal experts also note that retaining core mental property under the nonprofit may complicate a future IPO, potentially limiting investor influence. The newest restructure trades one set of governance complexities with one other, leaving OpenAI’s effort to balance mission and margin to be tested over time. Read more.
Lightricks Launches Open-Source AI Video Model with 30x Speed
Lightricks has launched LTX Video 13B, an open-source AI video model that builds on its 2B parameter predecessor, offering enhanced scale and precision. Running efficiently on consumer GPUs, it delivers high-resolution video as much as 30 times faster than similar models. A brand new multi-scale rendering feature allows creators to regularly enhance video details, while upgraded controls enable camera motion, keyframe editing, multi-shot sequencing, and scene-level adjustments.
Trained on licensed Getty and Shutterstock data, LTX Video 13B ensures commercial-safe usage with high visual quality. Available on Hugging Face and GitHub, the model is free for organizations earning under $10M, allowing developers to fine-tune and integrate it. Read more.
Today we’re introducing our latest open source video model—and it’s a giant one.
This release sets a brand new bar for speed, quality, and control. It’s faster than anything in its class, full of latest features, and able to run on your individual hardware.
Let’s break it down 👇
1/7
— LTX Studio (@LTXStudio)
1:48 PM • May 6, 2025


4 latest AI-powered tools from around the net

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