Category: News

GitHub CEO Thomas Dohmke announced his resignation in August 2025. After nearly four years leading GitHub, Dohmke will remain until the end of 2025 to support the transition before leaving to start a new tech startup, returning to his “founder roots.” His departure signals a major restructuring, with Microsoft integrating GitHub fully into its CoreAI team, led by Jay Parikh. Microsoft will not be replacing the CEO role at GitHub, effectively ending GitHub’s independence as an entity and folding it under direct Microsoft AI engineering operations.

During Dohmke’s tenure, GitHub grew significantly, with over 1 billion repositories and 150 million developers, and saw a doubling of AI-related projects. The transition places GitHub more closely aligned with Microsoft’s AI platform, reflecting the increasing role of AI tools like GitHub Copilot.

The leadership restructuring will have GitHub management report to several Microsoft executives with Julia Liuson overseeing revenue, engineering, and support, and Mario Rodriguez reporting to the head of Microsoft’s AI platform products, Asha Sharma.

In summary, Dohmke’s resignation marks the end of GitHub’s independent CEO leadership as it becomes integrated into Microsoft’s CoreAI division, while Dohmke moves on to found a new startup.

Elon Musk’s AI company xAI is publicly threatening to take legal action against Apple, accusing the tech giant of anticompetitive behavior related to App Store rankings. Musk alleges that Apple has been manipulating its App Store curation and ranking system to favor OpenAI’s ChatGPT chatbot over xAI’s direct competitor, Grok. According to Musk, this manipulation effectively blocks Grok and potentially other competing AI products from reaching top visibility or prominent placement in the App Store, despite strong user interest and downloads.

Here is the key points of the dispute include:

• Musk has accused Apple of a clear antitrust violation by giving preferential treatment through rankings to OpenAI’s ChatGPT, which holds the No. 1 spot in the U.S. App Store, while Grok is lower ranked, around 5th or 6th place.
• Musk questioned why Apple refuses to feature xAI’s apps (Grok and Musk’s news app X) in the “Must Have” section of the App Store, despite their large user base.
• The allegation centers on platform discrimination and abuse of Apple’s market power as the gatekeeper for app distribution on iOS devices.
• This dispute comes amid Apple’s expanding partnership with OpenAI, integrating ChatGPT deeply into Apple devices, which Musk ties to the alleged favoritism.
• Musk publicly declared on his social platform X that xAI will take “immediate legal action” if the situation is not addressed.
• Apple is expected to defend itself by saying that its app rankings are based on neutral criteria like downloads, engagement, and quality control.
• The conflict is occurring against a broader backdrop of regulatory scrutiny and legal challenges to Apple’s App Store practices globally.
• OpenAI CEO Sam Altman has responded by accusing Musk of manipulating his own social platform to harm competitors, intensifying the rivalry.

As of now, no formal lawsuit has been filed, but the public threat of litigation and regulatory interest could escalate the situation quickly. In summary, the xAI vs Apple dispute is about Musk accusing Apple of unfairly favoring OpenAI’s AI chatbot through rigid App Store ranking policies, potentially breaching antitrust laws, which Musk claims stifles competition for his AI offerings.

NVIDIA Showcases Cutting-Edge Physical AI Research at SIGGRAPH 2025

At SIGGRAPH 2025, NVIDIA highlighted groundbreaking advancements in physics-based AI, demonstrating how artificial intelligence is revolutionizing simulations, robotics, graphics, and scientific computing. The event featured research papers, presentations, and demos emphasizing AI’s role in enhancing real-world physics modeling for applications like autonomous systems, digital twins, and immersive virtual environments.

Key Research Breakthroughs

1. Physics-Informed Machine Learning
   NVIDIA researchers presented AI models that integrate physical laws into neural networks, improving accuracy in fluid dynamics, material science, and climate modeling. These models combine deep learning with traditional simulation techniques, enabling faster and more efficient predictions.
2. AI-Accelerated Robotics
   A major focus was on embodied AI, where robots learn from simulated environments before real-world deployment. NVIDIA’s Isaac Sim platform showcased reinforcement learning agents that master complex tasks—like object manipulation and locomotion—through high-fidelity physics simulations.
3. Neural Physics for Real-Time Graphics
   New techniques in neural rendering and physics-based animation were unveiled, allowing hyper-realistic virtual worlds to adapt dynamically. AI-driven approaches now simulate cloth, hair, and fluids in real time, benefiting gaming, film VFX, and the metaverse.
4. Generative AI for 3D Content Creation
   NVIDIA introduced AI tools that generate 3D objects and scenes from text or 2D images, significantly speeding up digital content workflows. These models incorporate physics-based constraints to ensure structural realism.
5. Digital Twins for Industry & Climate Science
   AI-powered digital twins are being used to model large-scale systems, from factories to weather patterns. NVIDIA’s Earth-2 initiative demonstrated climate simulations enhanced by AI, offering higher resolution and faster predictions.

Industry Impact & Partnerships

NVIDIA announced collaborations with leading automotive, aerospace, and entertainment companies to deploy these AI technologies. For example:

• Autonomous Vehicles: AI simulates millions of driving scenarios to improve safety.
• Manufacturing: Factories use digital twins for predictive maintenance and optimization.
• Entertainment: Studios leverage AI to automate animation and special effects.

NVIDIA’s commitment to scaling physics-based AI, with plans to integrate these advancements into its Omniverse platform for broader industry adoption. Researchers aim to bridge the gap between simulation and reality further, unlocking new possibilities in science and engineering. As a result , SIGGRAPH 2025 underscored NVIDIA’s leadership in merging AI with physics-based computing. By enhancing simulations, robotics, and digital content creation, these innovations are set to transform industries reliant on accurate, real-time modeling of the physical world.

Reddit is currently blocking the Internet Archive’s Wayback Machine from indexing most of its content. This means that the Wayback Machine can now only crawl and archive Reddit’s homepage, but it cannot access or archive posts, comments, subreddits, profiles, or detailed content on Reddit.

The reason behind this move is that AI companies have been using the Wayback Machine to scrape Reddit data without licensing or permission, bypassing Reddit’s rules on data use. Reddit has struck licensing deals with companies like OpenAI and Google to provide access to its data for AI training but wants to prevent unauthorized scraping via archival services. This has led Reddit to close off the free archiving of its site’s content outside of the homepage to protect user privacy, control content ownership, and monetize access.

This shift marks a big change from earlier policies when Reddit allowed “good faith actors,” such as the Internet Archive, to archive the site freely. Now, Reddit is restricting access until the Internet Archive can ensure compliance with Reddit’s rules, especially concerning user privacy and removed content. This means many Reddit conversations and cultural content may no longer be preserved for posterity through the Wayback Machine.

In summary, Reddit is restricting the Wayback Machine’s ability to archive its content due to concerns about AI scraping and to protect its data licensing interests, limiting the archive’s scope to the homepage only.