A long day’s haul in the video game slop mines.
Google Labs launched Playground, a service that generates playable video games based on text descriptions users provide through a chatbot-like interface. The service allows people without coding or game development experience to create working in-browser games by describing their ideas in plain language, then iterating on the results with additional instructions and uploaded reference materials. Users face usage throttling limits that restrict how many new games and iterations they can create before their allowance resets. While Playground makes game creation accessible and produces functional results quickly, the generated games tend toward similarity in menus, music, and design choices, reflecting the limitations of AI-generated content.

AI live translation tools turn speech into translated captions or speech while people are still talking. The market now spans consumer apps, meeting add-ons, event platforms and developer APIs. We checked 12 tools against official product, pricing and documentation pages. What is an AI live translation tool? It listens, transcribes, translates and outputs captions or synthetic speech in near real time. Most products chain speech recognition, machine translation and text-to-speech. Caption

Voice AI's often misses important points for its context layer, and causes the whole pipeline to break

Baby’s first local AI agent. | Photo: Antonio G. Di Benedetto / The Verge I'm embarking on a journey I've so far been hesitant to go on: actually using AI on the regular. Giving my most personal data to cloud services has been a major hold up for me, but it's increasingly possible to run powerful models locally to see what they're capable of. Is this tech so useful that it's worth throwing gobs of money at a computer or a laptop with lots of overpriced RAM? I'll try to help you
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