sebosp

I am working on my project swarmy, making data analysis of Starcraft 2 replays easily available for gamers/casters, all in rust, using nom to parse replay binaries and map data, exporting to apache arrow snapshots to analyze with polars, managing the data flow via tauri, exposing the aggregations/controls via leptos, using rerun to navigate replay timeline, bevy to deep dive through the maps and provide "geo" stats, this weekend started playing with bevy skein to manage assets/materials via blender.

Wow this is super cool! Will you use something to draw this on a map? If so what? Is it the same data format available in Europe and North America? What is something you suspected was going to be trivial and turned out to be extremely difficult?

Awesome, maybe some negative effect over it, how often does it refresh?

What's the equivalent to foreman/quickstart but for embedded devices, ie you got a bunch of devices, different architectures, different sensors to different pins, different versions of firmware, some of them off, how do you keep track of them?

Would this fit your medium to long term? It's a weekend work to automate: json logs go to Kafka, logstash consumer to store batches in hive partitioned data in s3 with gzip compression, Athena tables over these s3 prefixes and prestodb language used to query/cast/aggregate the data

Now I feel I have to read again Haroun and the Sea of Stories from Rushdie thanks to your last comment <3 that's one of my favorite childhood reads

I'm old and I sympathize with your last sentence, I _imagine_ certain reinforced paths through repeated experience are myelin covered so much as to be almost static. But if I think of generations growing up, their brains aren't reinforced/seasoned enough to spot these "Wait... What?" moments in online content that is almost sensical but not quite. In a world with ever increasing AI hallucinated content, when children absorb fake content and build strong paths in their brains, at some point the words/meaning could be so distorted that you cannot understand anymore the person in front of you? I think of the political landscape where we have similar problems, social media algorithms curate content to keep you entertained within subjects A and B, and you have a community with shared values and you are seasoned and share its language domain. How would the landscape look like when the net can be bombarded by content that appears to be true, valid and useful but it really is not, for young generations? Also if somebody can paint the right myoline picture in my head (not plausible text generation but science) I would really appreciate it.

This is so worrying for me, the amount of digital garbage that can now be generated that is not obviously garbage, that one must read and discern first nonsensical bad text generation and second if factual, is truth becoming a needle in the hay stack? How can this be cleaned?

Is this from a book? If not please write it

Is there an approximation/ratio in which the amount of digital garbage/hallucinations online generated by AI is so big that it cannot be used to train AI itself? Like are AI companies running against the clock because, say, in 5 years the internet will be flooded by false information to such an extent that it would render the internet as an invalid training ground. In a way requiring a snapshot of the internet pre-AI, because this is click bait problem times infinity it feels like

I wonder if AI generated web pages block AI agents from indexing their content, like, one engine indexing the other's content in a loop until the amount of digital garbage is so gigantic that is the end of the information era, or how are we ever stopping this? What is our failsafe?