AI

Key Highlights Virgin Atlantic is using ChatGPT Enterprise and Codex to enhance the travel experience The airline has seen significant productivity gains from AI adoption, particularly in digital and software development teams Virgin Atlantic’s digital concierge is a prime example of how AI can reimagine brand experiences in a human and on-brand way The travel industry is undergoing a significant transformation, driven in part by the adoption of artificial intelligence (AI). Virgin Atlantic is at the forefront of this trend, leveraging AI to enhance every step of the travel experience. In a recent conversation with Oliver Byers, Chief Financial Officer at Virgin Atlantic, it became clear that the airline is committed to using AI to drive innovation and improve customer satisfaction. ...

Key Highlights OpenAI partners with Deutsche Telekom to bring AI to millions across Europe Deutsche Telekom will introduce ChatGPT Enterprise to enhance customer care and workflows The collaboration aims to make AI more accessible, secure, and useful in everyday life The recent partnership between OpenAI and Deutsche Telekom marks a significant milestone in the journey to democratize access to advanced AI capabilities. With Deutsche Telekom serving over 261 million mobile customers worldwide, this collaboration has the potential to impact a substantial portion of the European population. This move reflects broader industry trends towards leveraging AI to enhance customer experiences and operational efficiency. ...

What if an AI agent could look at a piece of content and think, “Huh, I don’t know much about this”—and then do something about it? Not just flag it for a human. Actually go out, find relevant data, validate it, verify it, and eventually use it to improve itself. This isn’t science fiction. It’s a practical architecture I’ve been thinking about, and I want to walk you through it. ...

Key Highlights OpenAI launches a nationwide initiative in Australia to unlock AI benefits Partnership with NEXTDC to develop sovereign AI infrastructure Skills training initiative with CommBank, Coles, and Wesfarmers for over 1.2 million workers This move reflects broader industry trends towards artificial intelligence adoption and development. As AI continues to transform industries and economies, initiatives like OpenAI for Australia are crucial for countries to remain competitive. The launch of this program underscores the importance of sovereign AI infrastructure and workforce skills in harnessing the full potential of AI. ...

Key Highlights OpenAI acquires Neptune to improve AI model training and research The acquisition aims to provide deeper insights into how frontier models learn Neptune’s tools will be integrated into OpenAI’s training stack to enhance visibility into model behavior The recent announcement of OpenAI’s acquisition of Neptune marks a significant step forward in the development of AI research capabilities. This move reflects broader industry trends towards increasing investment in AI research and development, with a focus on improving the efficiency and effectiveness of AI model training. By acquiring Neptune, OpenAI is poised to gain a deeper understanding of how its models learn and make decisions, enabling the development of more advanced and sophisticated AI systems. ...

Key Highlights Mistral AI releases the Mistral 3 family of open-source multilingual models Optimized for NVIDIA supercomputing and edge platforms, with 41B active parameters and 675B total parameters Enables distributed intelligence, bridging the gap between research and real-world applications The recent announcement by Mistral AI marks a significant milestone in the development of artificial intelligence (AI) models. By making the Mistral 3 family of models openly available, the company is democratizing access to frontier-class technologies and empowering researchers and developers to experiment and customize AI innovation. This move reflects broader industry trends towards open-source and collaborative development, which is crucial for driving progress in AI research. ...

Key Highlights Nano Banana Pro offers unprecedented control over image generation and editing Gemini 3 Pro powers the new model, enabling more accurate and context-rich visuals Users can try Nano Banana Pro across various Google products, including the Gemini app and Google AI Studio The recent introduction of Nano Banana Pro by Google DeepMind marks a significant milestone in the development of image generation and editing technologies. This move reflects broader industry trends towards more sophisticated and user-friendly AI tools. With Nano Banana Pro, users can create studio-quality designs with enhanced text rendering and world knowledge, making it an invaluable asset for professionals and casual creators alike. ...

Key Highlights DeepSeek’s V3.2 AI model achieves comparable results to OpenAI’s GPT-5 with fewer training FLOPs The model uses DeepSeek Sparse Attention (DSA), reducing computational complexity while preserving performance The open-source availability of DeepSeek V3.2 enables enterprises to evaluate advanced reasoning and agentic capabilities without vendor dependencies The AI industry has long been driven by the notion that achieving frontier AI performance requires greatly scaling computational resources. However, DeepSeek’s latest breakthrough challenges this assumption, demonstrating that working smarter, not harder, can yield comparable results. By developing innovative architectures like DeepSeek Sparse Attention (DSA), the company has managed to reduce computational complexity while preserving model performance. ...

Have you ever wondered how a neural network learns to understand complex things like language or images? A big part of the answer lies in a component that acts like a tiny decision-maker inside the network. This component is the activation function, and it is a critical element that significantly impacts the performance of deep neural networks. Understanding these functions is key to grasping how a network goes from seeing random data to recognizing sophisticated patterns. So, let’s explore what they are, why they are so essential, and how they have evolved. ...

Everyone talks about RAG, but few have actually built one. Let’s break the spell and implement a semantic search system step by step using Python and Qdrant.

Key Highlights Evalite provides a purpose-built test harness for AI-powered applications It offers a web UI for local iteration and a robust scoring system Evalite supports pluggable storage and scorer integrations for flexibility The increasing adoption of AI-powered applications has created a need for more efficient and reproducible testing methods. This is where Evalite comes in, a TypeScript-native eval runner that enables developers to write reproducible evals, capture traces, and iterate locally with a web UI. As the AI landscape continues to evolve, tools like Evalite are crucial for ensuring the reliability and performance of AI-driven features. ...

Key Highlights Semantic caching reduces LLM costs and latency by storing frequent queries and their responses. ScyllaDB’s Vector Search enables efficient semantic caching for large-scale LLM applications. Combining LLM APIs with ScyllaDB’s low-latency database optimizes performance and cost. The increasing adoption of Large Language Models (LLMs) in various applications has led to significant concerns about costs and latency. As LLMs continue to grow in complexity and size, the need for efficient and cost-effective solutions becomes more pressing. This move reflects broader industry trends towards optimizing AI workloads and reducing operational overhead. ScyllaDB’s semantic caching offers a promising solution to these challenges, allowing developers to reduce the number of LLM calls and improve response times. ...