#DesignSystem finally released our generator! It starts with the figma plugin, and we generate the API for #tailwindcss for devs to consume. Let's GOOOOOO!!!!!
https://t.co/uL3PCeYtGy
Good evening, Twitter! I’m spending my Friday night in the affluent Bay Area suburb of Millbrae, where the county is presenting a plan to turn a hotel into ~100 homes for unhoused residents.
It appears that the entire city is here, and they are *pissed*. 🧵
Finally finished my online multiplayer game course. Worked super hard on this—it took a long time to learn all the complexities, but can proudly say it's all jam packed into one video now 🥳
~6 hours in total, enjoy!
https://t.co/kmKsawacnZ
what happens when @trueadm joins your team
(and the performance isn't even the most exciting part! svelte 5 is going to be radical and i can't wait to share more)
How to diagnose a mysterious process that’s taking too much CPU, memory, IO, etc?
The diagram below illustrates helpful tools in a Linux system.
🔹‘vmstat’ - reports information about processes, memory, paging, block IO, traps, and CPU activity.
🔹‘iostat’ - reports CPU and input/output statistics of the system.
🔹‘netstat’ - displays statistical data related to IP, TCP, UDP, and ICMP protocols.
🔹‘lsof’ - lists open files of the current system.
🔹‘pidstat’ - monitors the utilization of system resources by all or specified processes, including CPU, memory, device IO, task switching, threads, etc.
Credit: Brendan Gregg, Linux Performance
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🚀📢 GPT models have blown our minds with their astonishing capabilities. But, do they truly acquire the ability to perform reasoning tasks that humans find easy to execute? NO⛔️
We investigate the limits of Transformers *empirically* and *theoretically* on compositional tasks🔥
Interesting how a $6B company has products millions of developers know about, ~4,300 customers in total, and 830 of them spend more than $100K/year. Those 830 customers generate 89% of their annual ~$500M revenue.
Enterprise software is both profitable, but also hard.
@christopher4lis Hallucination is the biggest problem with LLMs. They confidently give wrong answers, and without the appropriate background and skills, it's hard to fact check. At least with code, we can run it
@JoshWComeau LLMs are like hammers. Some problems are easier to solve with them, and for others, they lead you astray. When we have a hammer, we develop a tendency to think everything is a nail, but on the contrary, we should think about creative ways to leverage the hammer beyond bashing