Windows Central points out that a switch to GPT-4 Turbo on the free tier of Microsoft’s AI assistant means searches on Copilot will be more current, and answers can be more thought out. GPT-4 Turbo was trained on data until April 2023 and can understand more complex questions.
However, for those who prefer the older model, Pro accounts can toggle between GPT-4 Turbo and GPT-4.
The New York Times writes about this startup developing AI software to help sorting robots interact with the physical world. With videos or text input (users can talk with them like a chatbot), the robot can “learn” how to function in factories without long strings of instructions.
Founded by former OpenAI researchers, Covariant’s work is the latest in a wave of robots integrating with AI foundation models.
Match runs Tinder, Hinge, OkCupid, and many other popular dating platforms. Yoel Roth eventually left Twitter in the wake of Elon Musk’s takeover — and received death threats after Musk tweeted about him — and tells Wired in an interview that he’ll work on improving spam detection, removing underage users, and protecting users in marginalized groups in dating apps.
I stand by this statement every time I read about AI companion platforms, even if that’s not their stated goal. I talked to Verge EIC Nilay Patel on Decoder about AI dating, its potential pitfalls, and why people still fall in love with chatbots.
The real estate broker app has added “Ask Redfin,” which uses large language models to answer questions like, “Does this house have air conditioning?” ” How much do homes in the neighborhood sell for?” and “Is it safe?” Users can also connect to an agent through the chatbot.
So far, Ask Redfin is available in Atlanta, Boston, Charlotte, Chicago, Dallas, Las Vegas, Philadelphia, Portland, Ore., Phoenix, Sacramento, Tampa, and Washington, D.C.
Google’s new demo MediaPipe LLM Inference API lets developers run AI models on devices like laptops and phones that don’t have the same computing power as servers.
This new release enables Large Language Models (LLMs) to run fully on-device across platforms. This new capability is particularly transformative considering the memory and compute demands of LLMs, which are over a hundred times larger than traditional on-device models. Optimizations across the on-device stack make this possible, including new ops, quantization, caching, and weight sharing.
[developers.googleblog.com]
