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thicknavyrain

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thicknavyrain
·8 เดือนที่ผ่านมา·discuss
This is so cool. I used to work on urban heat island analysis and now work in natural catastrophe modelling, and in both cases knowing the average heights/volumes of buildings is a very handy thing to have but is surprisingly difficult information to retrieve. Even a coarse estimate available at annual resolution has some really awesome use cases, very excited to see this.
thicknavyrain
·10 เดือนที่ผ่านมา·discuss
I know it's a reductive take to point to a single mistake and act like the whole project might be a bit futile (maybe it's a rarity) but this example in their sample is really quite awful if the idea is to give AI better epistemics:

    {
        "causal_relation": {
            "cause": {
                "concept": "vaccines"
            },
            "effect": {
                "concept": "autism"
            }
        }
    },
... seriously? Then again, they do say these are just "causal beliefs" expressed on the internet, but seems like some stronger filtering of which beliefs to adopt ought to be exercised for an downstream usecase.