@ArminWolf@georg_renner Gehaltsvergleiche mit privaten Medienunternehmen wären interessant. Immerhin bilden die zusammen mit den ORF ja den relevanten Gehaltsmarkt. Würde Wofe für Wolf! Live deutlich besser vergüten?
I just opened a pull request to add support for Cloudflare KV caching and Cloudflare D1 memory storage in @langchain JS 🤖
This allows you to save context and past history - example code below!
https://t.co/cetzcZ9Ssj
I just opened a pull request to add support for Cloudflare KV caching and Cloudflare D1 memory storage in @langchain JS 🤖
This allows you to save context and past history - example code below!
https://t.co/cetzcZ9Ssj
@DrawsMiguel Bummer to hear! I have really enjoyed our long chats the last few weeks. And thanks for your help in teaching me Rust! I am sure whatever you do next will bring success! Take care!
Probably the best thing you'll see today.
In 2017, a group of developers hilariously competed for who could create worst volume control interface in the world.
The results 🧵
1/22
This is very cool: it has become a lot easier to read academic research.
If you open a paper in Microsoft Edge (I know, I know), the Bing AI sidebar can read the PDF and you can ask it questions about the paper. (I checked & the results seem high-quality, but be careful with AI)
Really striking how every AI hype tweet is explicitly trying to induce FOMO. "You're getting left behind. All your competitors are using this. Everyone else is making more money than you. Everyone else is more productive. If you're not using the latest XYZ you're missing out."
If you ask everybody in an organization what percentage of the organization's success they're personally responsible for, you'll wind up with a total of about 300 percent. That's just the reality, and it shows why you must be precise in attributing specific results to specific people's actions. Otherwise, you'll never know who is responsible for what – and even worse, you may make the mistake of believing people who wrongly claim to be behind great accomplishments. #principleoftheday
In a coding world we used to express costs in relation to engineers compensation. Going forward we will measure compensation in GPU hours👌👍. If your model costs billions to train… 🤣.
Top NN (neural net) engineers are getting paid $5-20M annual compensation packages. I've now heard this from 4 different extremely reputable sources but I don't see people talking about it publicly yet so here goes...
What are the implications of this insanity ?!?!?!? ... 🧵
When you speak German, this video by Harald Lesch about eFuels is fun to watch. Harald can't quite believe that something so inefficient as eFuels is presented as a solution for car mobility.
ht @WulfHemmerle
https://t.co/x6VJkEtnLI