… A startup called Wafer is training AI models to do one of the most difficult and important jobs in AI—optimizing code so that it runs as efficiently as possible on a particular silicon chip. …
… Reardon tells me that his team has identified paths to near-term revenue that exploit recent brain research. They’re developing a hippocampus-inspired way to handle memory that will allow the company’s models to learn without extensive training data, he says. …
… That's still the case here, even with the transition to Google Health, and the company says there's an opt-in if you want your data used for research and development and model training. …
… Rather than having humans provide training data, the company wants robots to learn how to do things for themselves. …
… In the world of AI, an interview is standard fare for everyone. This has prompted some people to suspect—despite companies’ assurances to the contrary—that the interview process itself is a means of harvesting data, a form of free AI training. …
… Researchers this week revealed that thousands of vibe coded apps were left exposed on the open internet, revealing sensitive corporate and personal data. The security failings are a reminder: Just because you can vibe code something doesn’t necessarily mean you should. …
… The world of AI is now more focused on LLMs and a different approach to training that involves feeding vast quantities of human text scraped from books, internet pages, and other sources into AI algorithms. Reinforcement learning has, however, played an important role in creating today’s AI systems. …
… Brian Barrett: Meta announced, and this was more public, that they were going to put software on employee laptops that would monitor their keystrokes and how they move their cursors and basically how they do their job as Meta engineers and use that as training data for their own internal models to … …