Reinforcement learning is a decades-old way of having a computer learn to do something through experimentation combined with positive or negative feedback. It came to the fore last decade when Google DeepMind showed it could produce algorithms capable of superhuman strategy and gameplay. More recently, AI engineers have used the technique to get large language…
It’s not rocket science. A huge part of the reason why Ray-Ban Meta Wayfarers are the best face computer is because a lot of people already do want to wear Ray-Ban Wayfarers. It’s a lot easier to persuade people to wear a smart accessory when that accessory looks sharp as hell. Meta has committed to…
Today, we’re starting to roll out interactive chart visualizations in AI Mode in Labs to help bring financial data to life for questions on stocks and mutual funds. Now, you can compare and analyze information over a specific time period and get an interactive graph and comprehensive explanation — custom-built for your question. Ask to…
Recordings of business meetings, interviews, and customer interactions have become essential for preserving important information. However, transcribing and summarizing these recordings manually is often time-consuming and labor-intensive. With the progress in generative AI and automatic speech recognition (ASR), automated solutions have emerged to make this process faster and more efficient. Protecting personally identifiable information (PII)…
Databricks, a company that helps big businesses build custom artificial intelligence models, has developed a machine-learning trick that can boost the performance of an AI model without the need for clean labeled data. Jonathan Frankle, chief AI scientist at Databricks, spent the past year talking to customers about the key challenges they face in getting…
In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s. Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can…
