AI & RoboticsNews

Xbox’s AI initiative with Muse is an attempt to read the tea leaves, not the room

Earlier today, the heads of Microsoft’s Xbox division revealed Muse, a generative AI model that intends to create both visuals and gameplay for games. The model, which was trained on the largely forgotten Ninja Theory multiplayer game Bleeding Edge, is not a shocking leap for Microsoft’s Xbox division. The company as a whole, from CEO Satya Nadella down, has wholeheartedly embraced generative…
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AI & RoboticsNews

AI can fix bugs—but can’t find them: OpenAI’s study highlights limits of LLMs in software engineering

Large language models (LLMs) may have changed software development, but enterprises will need to think twice about entirely replacing human software engineers with LLMs, despite OpenAI CEO Sam Altman’s claim that models can replace “low-level” engineers. In a new paper, OpenAI researchers detail how they developed an LLMs benchmark called SWE-Lancer to test how much foundation models can…
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AI & RoboticsNews

Replit and Anthropic’s AI just helped Zillow build production software—without a single engineer

Replit has transformed non-technical employees at Zillow into software developers. The real estate giant now routes over 100,000 home shoppers to agents using applications built by team members who had never written code before. This breakthrough stems from Replit’s new partnership with Anthropic and Google Cloud, which has enabled over 100,000 applications on Google Cloud Run. The collaboration…
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AI & RoboticsNews

LLMs Power AI: Exploring Transformer Architecture

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI applications such as text-to-speech, automatic speech recognition, image generation and text-to-video models have transformers as their underlying technology. With the hype around AI not likely to…
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