What are you working on? Any new ideas that you’re thinking about?
Hello! Today, let’s discuss a fascinating topic: complex systems. Throughout my career, I’ve worked in many complicated environments. For instance, I worked on optimizing driver-passenger matching in ride-hailing at a Uber’s competitor. This context, like others, was technically challenging. Yet, nothing comes close in terms of complexity with my current experience at Google and two
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I’ve been grinding on my solo project—a little app to help remote workers find coworking spots nearby—for months, and some days it feels like I’m yelling into the void. Nobody’s signing up, and I’m burned out. But I’ve figured out a few tricks to keep going:Set Tiny Wins: I break it into micro-goals, like “fix
Hopes that Return to Office will bail out the office sector of CRE seem premature: Data on office attendance and Working from Home. By Wolf Richter for WOLF STREET. The good folks in commercial real estate, including institutional investors, have been saying for over a year that the Return-to-Office mandates will scuttle Working-from-Home and fill up office space
Like many teams probably the works ebbs and flows – it seems a lot of our work items are just super small (less than 1-2 dozen LOC diff). Part of this is by design to make work items “manageable” but it's kind of absurd to me.Is your job similar or different?
“Because of my background, I’m always interested in how technology can serve the underserved in society, and how it can empower people to live their best lives.With AI, I’m not worried about robots taking over the world. I’m more worried about people using technology to do bad things to other people, rather than the technology
A prominent physicist working in the UK for over 20 years on hypersonic technology has now joined China to lead an innovation team working to make hypersonic vehicles more efficient and effective. Zhang Yonghao came to Britain in the early 2000s from China to work as a computational scientist at Daresbury Laboratory. In 2020, he
LangChain is a framework that simplifies working with large language models (LLMs) such as OpenAI GPT4 or Google PaLM by providing abstractions for common use cases. It supports both JavaScript and Python. To understand the need for LangChain, we first need to discuss how LLMs work. Under the hood, LLMs are statistical models that, given
I am a remote worker, and the only solution I've found to stay focused is to close the door of my room. What about you?