jpeggtulsa
Joined 2 years ago
Karma
9
Submissions
23
Member since
Mar 19
Recent submissions
Comment · 11 months ago
Yeah, a world class content generator running as a vercel app?
Comment · 1 year ago
Isn't F5 the company that makes nginx?
Comment · 1 year ago
Me and another developer did this on a 300 seat call center on Windows Embedded thin clients probably 8 years ago now. We used timestamps and a high precision javascript library for synchronization. After everybody went home for the night, it would scroll the name of the business and the stats from the day across all the screens until a couple hours before the first calls, then it would load a queued video or text or even just colored lines similar to the windows screen saver depending on the day.
Comment · 1 year ago
That makes no sense whatsoever. Autocomplete helps you speed up the writing of the code so you can focus on solving the problems more often.
Comment · 2 years ago
10 cents per minute of video... Pass.
Comment · 2 years ago
Because you can buy it using FSA/HSA. There are very strict laws against what is considered purchasable on those plans.
Comment · 2 years ago
One of the earliest projects I took over from a higher level developer was an auction website back around 1998. The site worked like eBay in as far as you could put a maximum bid, and it would automatically bid higher than the last bid up to that point. The problem was, it was all dependent on users being on that page so that the auto-reload http header would fire again and refresh the page. If nobody was on the site watching the auction, no automatic bids would happen and nobody would be declared the winner.
Comment · 2 years ago
I use this monitor for gaming and programming. My laptop is USB-C, and my desktop is obviously HDMI/USB-A. The KVM let's me switch between those 2 and use the same keyboard and mouse. Plus it's ultra-wide 1440p and 144hz.
https://www.newegg.com/p/N82E16824012043R?Item=N82E168240120...
Comment · 2 years ago
How do you do the "Swipe out of bounds" one on desktop?
Comment · 2 years ago
The pursuit of artificial general intelligence (AGI) continuously demands higher computing performance. Despite the superior processing speed and efficiency of integrated photonic circuits, their capacity and scalability are restricted by unavoidable errors, such that only simple tasks and shallow models are realized. To support modern AGIs, we designed Taichi—large-scale photonic chiplets based on an integrated diffractive-interference hybrid design and a general distributed computing architecture that has millions-of-neurons capability with 160–tera-operations per second per watt (TOPS/W) energy efficiency. Taichi experimentally achieved on-chip 1000-category–level classification (testing at 91.89% accuracy in the 1623-category Omniglot dataset) and high-fidelity artificial intelligence–generated content with up to two orders of magnitude of improvement in efficiency. Taichi paves the way for large-scale photonic computing and advanced tasks, further exploiting the flexibility and potential of photonics for modern AGI.