@LukeW Yesterday we invested lot of time and use the software to close the loop. Today, software does most of the work and we close the loop. Tomorrow there won't be any software: the work is the software and the intent we underwrite is the program.
It's summer time and parental control for kiddos' gaming needs more up to date tech. Use GG Time freely for Mac https://t.co/JSZW3ir2Wv.
I'm thinking of creating a shared economy for it, eg chores > more time.
One strange thing about collaborating with AI: you want it to move fast to think with you, but you also want to know you can get yesterday back.
That is what I'm testing in MindEcho, a history bar you can play around visually. I can see way better than I remember when I changed a piece. Works offline too.
The useful part is feeling safe enough to try things.
Opus wrote code I could read, learn and steer with time.
until Fable... Fable is like hiring an engineer so good you can't review their code anymore. That strange feeling that shadows the excitement of progress.
@joaomdmoura super curious about CrewAI since day 1. The demos however show only sequential processes, which makes it not far from what n8n and langraphs, care to point to more advanced examples, e.g. cursor style agent would be great.
@Kt0rzV @igfish Cool app! There are various models and just using basic parameters would be heavily oversimplifying. Nevertheless, look at https://t.co/Pk1DlPJPEo for a comparison of logistic (more probable) vs log models.
We are hosting @munich_gophers
for their next @Meetup on 18th Oct ✌️
Our new Head of Engineering will also be delivering a talk on "Building a full-stack app with Golang and Google Cloud Plattform in one week"
Looking forward to meet all Gophers 🙂
https://t.co/phN2zvrbz5
We are super excited to share that our first Tech Meetup hosted in office went better than expected✌️We had python devs and data engineers from various backgrounds. Thanks to @PyData for their support 👏
We are hosting our first Tech meetup on Wednesday (21.02.2018) in our office from 7 pm - 9 pm.
If you are interested in knowing more about "How to keep your data science projects lean and manageable?" Join us as we host @PyData ✌️
https://t.co/taY45CtY3a
#munich#tutorial