Notices by …might work for coffee… (mwfc@chaos.social)

@aral
Well, I was a participant.

And given another group won in my field (rightfully) I will do our approach by grant stuff.

I just do not get why, if you have mainly students as audience, you do not promote this path more.

You had out shitty low prices (100-300 EUR per participant if you win is nothing) and only promote the get rich or die trying way?

Why not:you managed to get something nearly meaningful done in a weekend, what about good funding for a year and have it floss.Awesome world

I will never give a group a point in a Hackathon that deals with disasters and talks in their pitch about a "product" that you can buy and potential many costumers.

Fuck you.

Here: Forest fires.

You lost all respect from me when you consider stuff that you build for disaster as a product and not a service. Terminology matters.

You just gave the impression that you would not support poor countries w/o subscription. In a fucking disaster. You allied with Disaster for money. Money over people.

@aral

I disagree. Not on the taxing stuff.

There is good reason to use AI and ML in various settings, especially due to climate change.

Where? a good case is remote sensing. We have limited tools and data in temporal and spatial resolution.
And yes, we need more data for various things. I just worked on "how to determine safe water intake bodies for fire fighting planes" and no, this is not trivial to know the depth at every position of a water body worldwide to ad hoc calculate it

@aral

We do not need chatGPT kind of shit. But we need certain data for various scenarios and no, many counties will do shit prior and will not be able to respond in a decent way when shit hits the fan.
We need to do modelling, need to give them tools to help. A mouseclick to get water bodie candidates. Then double check whether assumptions were OK.

When shit hits the fan, we need automation and as real time information as possible. ML is needed with correction factors due to current data.