I've met many amazing people at Planet as an artist in residence. We've had great 1:1 discussions about satellite imagery and machine learning for art, agricultural uses, and tracking environmental change. Happy to be featured on their blog!
Want to see what is happening under the hood at Yearn? 🕵️
Check out our newly launched dashboard at https://t.co/yNBZE0aWe9. 👀
Track Vaults, Iron Bank, and more! This dashboard gives the most accurate measurement of TVL for all of Yearn products. 🔥
https://t.co/yNBZE0aWe9
Look ma! I'm running over 1024 containers on the same host and Linux bridge with faasd.
All it took was a custom kernel and patch to BR_PORT_BITS in net/bridge/br_private.h 😀
We wrapped up Expo Community Day on 2/17. Here's what's brewing in the “community” themed adventures in KERNEL Block 2 ☕
🎨 5 NFT projects
🌿 4 DAOs
✨ 3 Social Token projects
🏦 crypto community treasuries manager
📢 DB of online governance in web3
👇🏼 More in the thread,
Search inside YouTube videos using natural language 🗣️🔎📺
This is my new project, which allows you to search for particular moments in any YouTube video using natural language search queries. It is again powered by @OpenAI's CLIP model.
https://t.co/BDctCLV4IG
👇 Examples 👇
Successfully synced my Ethereum archive node with #TurboGeth and moved it to a Raspberry Pi4 8GB + external SSD. Works since several days without any issues 🚀 Now comes the fun part to look into the data and do some interesting on-chain analysis 🤓
@bodil Awesome idea and pretty compact! I'm running a ZFS pool on a Pi4 8GB. With a powered USB3 hub you can add several cheap disks into a vdev mirror and max out your LAN bandwidth for R/W access while having a good feeling about data integrity. ZFS + Pi = ❤ 😅
@alexellisuk Is the TRIM command passed through by your controller? Mine didn't pass it to the SSD so the only way to do TRIM would be to put the SSD into another machine from time to time 😅 I'm netbooting my raspi #k3s cluster with it🪜☁️ Performance is good but SSD is getting super hot 🔥
My take on map, filter, and reduce in emoji form. Hoping this is easier to understand than some of the ones I’ve found.
Map:
[🥚,🐷,🧈].map(cookBreakfast) => [🍳,🥓,🥞];
Filter:
[🍓,🌽,🫑,🍒,🥦].filter(isFruit) => [🍓,🍒];
Reduce:
[🍅,🧄,🧅].reduce(sundaySauce) => 🥫;
Install the #COVID19 coughing monitor app as a quicktest and to feed the AI. It might just save a live. And it respects privacy. https://t.co/k4K0qeQpIm
Today, my colleagues on the (now very virtual) radar team are ready to share the 23rd volume of the ThoughtWorks Technology Radar. We hope you enjoy it.
https://t.co/7NRkjvT9zg
@au_eden @defiprime It's based on blockly from google which is the basis for scratch. In this PoC I've applied it to the DeFi composability idea. Maybe that's one way to make DeFi even more pluggable and easy to use and configure than it's already today. We'll see 🤩