Very useful guide to SQL, thanks!
621 karma · joined April 10, 2019
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A statement from Microsoft Chairman and CEO Satya Nadella Nov 17, 2023 | Microsoft Corporate Blogs
As you saw at Microsoft Ignite this week, we’re continuing to rapidly innovate for this era of AI, with over 100 announcements across the full tech stack from AI systems, models, and tools in Azure, to Copilot. Most importantly, we’re committed to delivering all of this to our customers while building for the future. We have a long-term agreement with OpenAI with full access to everything we need to deliver on our innovation agenda and an exciting product roadmap; and remain committed to our partnership, and to Mira and the team. Together, we will continue to deliver the meaningful benefits of this technology to the world.
This was created a year ago and Crates.io haven't taken it down so I assume they're ok with it.
I'm talking about the fast food workers, retail shop assistants, cleaners in the Google offices, etc. How are these people able to afford the average monthly SF rent on their hourly wages?
This is the main reason why although I love my MacBook M1 Air keyboard and screen, I still use an external monitor and keyboard for the majority of my work.
SF engineer salaries are still insane to these people. And they need to deal with the cost of living in SF.
> Manuel Kroiss, software engineer at DeepMind on the reinforcement learning team, describes how the bottlenecks posed by the GIL lead to rewriting Python codebases in C++, making the code less accessible:
> "We frequently battle issues with the Python GIL at DeepMind. In many of our applications, we would like to run on the order of 50-100 threads per process. However, we often see that even with fewer than 10 threads the GIL becomes the bottleneck. To work around this problem, we sometimes use subprocesses, but in many cases the inter-process communication becomes too big of an overhead. To deal with the GIL, we usually end up translating large parts of our Python codebase into C++. This is undesirable because it makes the code less accessible to researchers."
For average usage like web apps, no-GIL can be solved by multiprocessing. But for AI workloads at huge scale like Google and DeepMind, the GIL really does limit their usage of Python (hence the need to translate to C++). This is also why Meta are willing to commit three engineer-years to making this happen: https://news.ycombinator.com/item?id=36643670