As a European I'm happy to use their product (and pay for it), I just ask one tiny little thing from them: build a better model with lower latency.
What failed with Mistral?
Which anti-AI regulations are we talking about, and don't these apply to any solution distributed in the European Union, hence also to American ones?
Yesterday, gemini told me to run this:
echo 'export ANDROID_HOME=/opt/my-user/android-sdk' > ~/.bashrc
Which would have effectively overriden my whole bashrc config if I had blindly copy-pasted it.A few minutes later, asking it to create a .gitignore file for the current project - right after generating a private key, it failed to include the private key file to the .gitignore.
I don't see yet how these tools can be labeled as 'major productivity boosters' if you loose basic security and privacy with them...
I'm not sure of what "production ready" is supposed to mean here, but the demo image is not optimized, `optipng` command decreases its size by 53.21%.
It might be worth considering a feature to time/schedule each flow's animation, rather than having them run in an infinite loop, all at the same time.
UX feedback:
* The animation and the whole interface are sluggish on firefox/linux. There's about 1 sec delay after each action (like clicking on an option). * The site's CSS does not load on an old version of Chrome - v90 - (and the chart and animation don't either).
The idea is to eventually add more categories like “restaurants,” “theaters,” “roads,” etc., so you can play based on local themes.
I’d love to hear your thoughts - any feedback on what you’d like to see, what feels off, or any issues you run into would be super helpful.
Bug: I tried in my area in the Canary Islands and all the places were off, sometimes in the middle of nowhere or even in the sea.
Also, in small villages, we don't necessarily have a town hall, a library, etc (within selected radius), but the game asked to pin these.
Well thought, sophisticated ways of modeling data for analytics purposes -using established approaches - are being replaced by just pulling data from the data sources - with barely any change in the source structure - into cloud data platforms.
In the past we used to model layers in a data-warehousing infrastructure each with a purpose and a data modelling methodology. For instance, an operational data store (ODS) layer, integrating data from all the sources, with a normalized data structure. Then a set of datamarts, each of them containing a subset of the ODS content, in a denormalized format, focused each on a specific functional domain.
We had rules, methods to structure data in order to get performant reporting, and a customer orientation.
Coming from this world, it seems like data governance principles are gone, and it feels like some organisations use the modern data stack same way as each analyst would be doing their own Excel files in their own corner, without any safeguards.