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Today:

• OpenAI Model Stuns Math Experts

• Apple Opens its AI to Developers

• Amazon to Invest $20 Billion in AI Innovation

• OpenAI Hit $10B Annual Revenue

• China Shuts Down AI tools

Mathematicians STUNNED as o3-mini answers the world's hardest math problems…

At a secret math event, OpenAI's O4 Mini stunned top mathematicians by solving complex problems in real time—some experts even called its reasoning near-genius. Though a few exaggerated claims surfaced, the AI’s math skills are clearly improving fast. 

Still, it sometimes reaches right answers with flawed logic, raising concerns about overtrust. Tools like Alpha Evolve hint at self-improving AI systems that could reshape science and society with or without true understanding.

WATCH THE VIDEO ON YOUTUBE

Apple Opens its AI to Developers

Apple unveiled powerful upgrades for developers, including on-device AI tools, ChatGPT in Xcode 26, and a new design system called Liquid Glass. Developers can now create smarter, privacy-first apps faster using Apple’s Foundation Models and new APIs. Tools for coding, gaming, safety, and visual intelligence are deeply integrated. Apple’s latest software pushes for seamless, expressive, and intelligent app experiences across iPhone, iPad, Mac, and more.

Why This Matters

1. On-device AI democratizes privacy-focused intelligence
   Apple is bringing generative AI directly to devices, reducing cloud dependency and enhancing user privacy.
   

2. Xcode 26 brings LLMs into mainstream development
   By baking in support for ChatGPT and custom models, Apple is normalizing LLM-assisted coding for millions of developers.
   

3. Apple’s ecosystem gains AI-native design foundation
   Apple is reshaping app design around intelligence, signaling a broader shift to AI-first user experiences at the OS level.

Amazon to Invest $20 Billion in AI Innovation

Amazon is investing at least $20 billion in Pennsylvania to build new data centers that support AI and cloud technologies. This move will create 1,250 high-skilled jobs and boost local economies through workforce training, STEM education, and sustainability grants. The investment includes programs for students, job seekers, and educators. Amazon aims to strengthen U.S. leadership in AI while embedding cloud infrastructure deeper into communities and industries across Pennsylvania.

Why This Matters

1. Massive AI infrastructure boost
   This is one of Amazon’s largest U.S. investments, aimed at scaling the physical backbone for generative and agentic AI models.
   

2. Workforce transformation at scale
   The training programs signal how AI jobs are shifting beyond tech hubs, with hands-on roles in data center operations becoming widespread.
   

3. Cloud-AI integration accelerates innovation
   Amazon’s expansion ensures more businesses, schools, and agencies can adopt powerful AI tools via AWS—driving real-world transformation faster.

OpenAI Hit $10B Annual Revenue

OpenAI announced it has reached $10 billion in annual recurring revenue, nearly doubling from last year’s $5.5 billion. The revenue comes from ChatGPT’s consumer and business products, as well as its API. With 500 million weekly users and 3 million paying business clients, OpenAI is growing fast. The company aims for $125 billion in revenue by 2029 but faces pressure due to high spending on talent and infrastructure.

Why This Matters

1. Massive Scale: OpenAI's $10B milestone confirms AI’s role as a mainstream business force, not just a research experiment.
   

2. Widespread Adoption: 500 million weekly users signals massive public and enterprise integration of generative AI tools.
   

3. High Stakes Growth: The race to $125B revenue shows how aggressive the financial bets are on AI’s future—and raises the bar for all competitors.

🧠RESEARCH

Reinforcement Pre-Training

Researchers introduced Reinforcement Pre-Training (RPT), a new method that uses rewards to improve how language models predict the next word in a sentence. This approach boosts accuracy and scales well with more data and computing power, offering a strong base for further training in real-world tasks.

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Lingshu is a new medical-focused AI model trained on both images and medical text. It solves common problems in current medical AI, like poor reasoning and false answers, by using better data and training methods. Lingshu outperforms other models on key tasks like medical Q&A and report writing, showing strong real-world potential.

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA

Researchers created EverGreenQA, a multilingual dataset that helps AI tell if a question has a stable answer or one that changes over time. This improves how trustworthy and accurate AI is when answering questions. The team also built a top-performing classifier and showed how evergreen tagging boosts AI reliability in real-world tasks.

🛠️TOP TOOLS

Sendsteps AI - AI-powered presentation maker that streamlines the creation of engaging, interactive presentations in minutes.

Dumme - AI-powered platform designed to automatically transform long-form videos and podcasts into short-form clips suitable for social media platforms.

BigJPG - AI-powered image upscaling tool that leverages Deep Convolutional Neural Networks to enlarge images while maintaining quality.

AICheatCheck - Educational tool designed to detect AI-generated content in academic settings.

PixaMotion - Mobile application designed to breathe life into static images through animation and motion effects.

📲SOCIAL MEDIA

🗞️MORE NEWS

• To stop cheating during China’s crucial college entrance exams, top AI apps like Qwen and Doubao have disabled features like image recognition. The move highlights growing concerns about AI misuse in education.

• Anthropic shut down its AI-written “Claude Explains” blog just weeks after launch. The blog faced criticism for unclear authorship and marketing motives, raising concerns about trust, transparency, and overpromising Claude’s writing abilities.

• Ohio State University will require all undergraduates to become fluent in artificial intelligence, integrating AI education across all subjects. The goal is to prepare students to responsibly apply AI in any future career.

• AI companies admit they don’t fully understand how their powerful models work or why they behave unpredictably. Despite this, they keep pushing ahead, raising deep concerns about control, safety, and global consequences.

• Getty Images is suing Stability AI in a major UK trial, accusing it of mass copyright violations to train its image generator. The case could set key legal precedents for AI content training worldwide.

• Reddit is suing Anthropic for scraping user data without permission to train its AI model, Claude. The case adds to growing legal battles over whether AI firms can use copyrighted content without consent.

• Mark Zuckerberg is forming a new Meta AI team to pursue artificial general intelligence (AGI), aiming to rival OpenAI. The effort includes plans to hire top talent and a major investment in Scale AI.