OpenAI

Key Highlights Moonshot AI’s Kimi K2 Thinking model outperforms OpenAI’s GPT-5 and Anthropic’s Claude Sonnet 4.5 in multiple benchmarks The model’s training cost was approximately $4.6 million, significantly lower than its US counterparts Kimi K2 Thinking achieves state-of-the-art performance in reasoning, coding, and agent capabilities The recent release of Moonshot AI’s Kimi K2 Thinking model has sent shockwaves through the AI community, as it surpasses OpenAI’s GPT-5 and Anthropic’s Claude Sonnet 4.5 in multiple performance benchmarks. This move reflects broader industry trends, where Chinese companies are increasingly challenging the dominance of US-based AI developers through cost-efficient innovation and open-source development strategies. The Kimi K2 Thinking model’s impressive performance has sparked renewed debate about the future of AI development and whether the US will maintain its lead in the field. ...

Overview As the AI landscape continues to evolve, concerns about the impact of these technologies on younger generations have grown. In response, OpenAI has taken a proactive step by introducing the Teen Safety Blueprint, a comprehensive framework designed to ensure that AI tools are developed with the well-being and safety of teenagers in mind. This move reflects broader industry trends, where companies are acknowledging the need for responsible AI development that prioritizes user safety, especially among vulnerable demographics like teens. ...

As the short-form video sharing landscape continues to evolve, OpenAI’s Sora AI video generator has officially launched on Android in the U.S., Canada, Japan, Korea, Taiwan, Thailand, and Vietnam. This move reflects broader industry trends, where AI-powered video creation is becoming increasingly popular. With Sora’s arrival on the Google Play Store, the app is poised to attract a larger user base, building on its initial success on iOS, where it amassed over 1 million downloads in a week. ...

The word “free” in AI tools doesn’t mean what you think it does. In 2025, offering free AI isn’t charity — it’s one of the most aggressive commercial strategies in tech. Behind every generous free tier lies a carefully calculated business model designed to capture market share, feed enterprise sales, or lock users into ecosystems. This guide breaks down the 15 most popular free AI tools of 2025, explains what you actually get, and reveals the strategy behind each “free” offering. ...

The development of Artificial General Intelligence (AGI) has sparked intense interest in creating AI systems that can understand and interact with humans in a more nuanced way. However, most existing benchmarks for evaluating AI capabilities are limited to English and Western cultures, leaving a significant gap in understanding how AI systems perform in diverse cultural contexts. This is where IndQA comes in - a new benchmark designed to evaluate AI systems on Indian culture and languages. ...

This move reflects broader industry trends, where access to high-performance computing resources has become a critical component of AI development. OpenAI’s recent deals with AWS, Oracle, and Microsoft, totaling $600 billion, demonstrate the company’s commitment to securing its AI compute supply chain. The $38 billion deal with AWS, in particular, provides OpenAI with access to hundreds of thousands of NVIDIA GPUs, including the new GB200s and GB300s, and tens of millions of CPUs. ...

This move reflects broader industry trends towards strategic partnerships in the AI sector. The recent announcement of a multi-year partnership between AWS and OpenAI marks a significant milestone in the development of artificial intelligence. With a $38 billion commitment, OpenAI will leverage AWS’s world-class infrastructure to run and scale its advanced AI workloads, starting immediately. The partnership will enable OpenAI to utilize Amazon EC2 UltraServers, featuring hundreds of thousands of chips, and scale to tens of millions of CPUs for its advanced generative AI workloads. As OpenAI co-founder and CEO Sam Altman notes, “Scaling frontier AI requires massive, reliable compute.” This partnership strengthens the broad compute ecosystem that will power the next era of AI innovation. ...

The development of AI agents has been a topic of significant interest in recent years, with many experts predicting a rapid advancement in the field. However, according to Andrej Karpathy, co-founder of OpenAI, we are still about 10 years away from achieving true AI agents. This move reflects broader industry trends, where the focus is shifting from narrow, specialized AI models to more general, autonomous agents. Karpathy’s statement is significant, given his experience in leading Tesla’s self-driving efforts from 2017 to 2022. He notes that while large language models (LLMs) have made huge progress, there is still a lot of “grunt work” to be done before we can achieve artificial general intelligence (AGI). As Karpathy puts it, “I still feel there’s so much work to be done” - but he adds that “they’re going to get better, and it’s going to be wonderful.” ...

As the world of artificial intelligence continues to evolve, OpenAI’s latest move reflects broader industry trends towards more accessible and interactive AI experiences. The company has opened up its Sora social media app to users in the US, Canada, Japan, and South Korea, allowing them to download and explore the platform without the need for an elusive invite code. This development is significant, as it marks a new era in AI-generated content and social media interaction. ...

The way we interact with the web is on the cusp of a significant transformation, driven by the integration of artificial intelligence (AI) and machine learning (ML) into our daily browsing experiences. This move reflects broader industry trends towards more personalized, intuitive, and efficient web interactions. At the forefront of this revolution is OpenAI’s latest innovation: the OWL (OpenAI’s Web Layer) architecture, which powers the company’s new ChatGPT-based browser, Atlas. ...

As the AI landscape continues to evolve, ensuring the safety and reliability of AI systems has become a top priority. In a significant move, OpenAI has introduced a new research preview of “safeguard” models, designed to put more safety controls directly into the hands of AI developers. The gpt-oss-safeguard family of open-weight models is specifically aimed at customizing content classification, allowing developers to tailor their own safety frameworks. This move reflects broader industry trends towards more transparent and agile AI development. By providing two models, gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, OpenAI is giving developers the flexibility to choose the right tool for their specific use case. Both models are fine-tuned versions of the existing gpt-oss family and will be available under the permissive Apache 2.0 license, enabling free use, modification, and deployment. ...

In a move that reflects the rapidly evolving AI landscape, OpenAI has undergone a major reorganisation, solidifying its nonprofit foundation’s control over its for-profit business. This strategic shift aims to establish the OpenAI Foundation as a global philanthropic powerhouse, with a significant stake in the commercial arm valued at approximately $130 billion. The reorganisation is designed to ensure that OpenAI’s commercial success directly funds its original mission, maintaining the strongest representation of mission-focused governance in the industry. ...