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?
Readit Newssebosp commented on Show HN: Performant intracontinental public transport routing in Rust github.com/ellenhp/farebo... · Posted by u/ellenhp
There's a composite image with the clouds and earth at https://clouds.matteason.co.uk/images/8192x4096/earth.jpg that you might be able to use?
Awesome, maybe some negative effect over it, how often does it refresh?
Can you think of a way to use your live cloud data as the background shader for https://github.com/sebosp/chartacritty ? I was also hoping to draw the iss progression through the earth, but sometimes people use terminals to actually read and may become confusing...
For the rewind functionality you could look into rerun.io, not sure it's compatible with your current libraries but may be fun
sebosp commented on A Beginner's Guide to the ESP8266 (2017) tttapa.github.io/ESP8266/... · Posted by u/davikr
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?
sebosp commented on Vector: A high-performance observability data pipeline github.com/vectordotdev/v... · Posted by u/tosh
I feel like the ecosystem is very, very close to ready for what I would consider to be a really nice medium-to-long-term queryable log storage system. In my mind, it works like this:
1. Logs get processed (by a tool like vector) and stored to a sink that consists of widely-understood files in an object store. Parquet format would be a decent start. (Yscope has what sounds like a nifty compression scheme that could layer in here.)
2. Those logs objects are (transactionally!) enrolled into a metadata store so things can find them. Delta Lake or Iceberg seem credible. Sure, these tools are meant for Really Big Data, but I see so reason they couldn’t work at any scale. And because the transaction layer exists as a standalone entity, one could run multiple log processing pipelines all committing into the same store.
3. High-performance and friendly tools can read them. Think Clickhouse, DuckDB, Spark, etc. Maybe everything starts to support this as a source for queries.
4. If you want to switch tools, no problem — the formats are standard. You can even run more than one at once.
Has anyone actually put the pieces together to make something like this work?
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
sebosp commented on Pipexec – Handling pipe of commands like a single command github.com/flonatel/pipex... · Posted by u/JNRowe
This is neat, but outside of a contrived ouroboros example, what’s a real world use case for this?
There’s a natural flow of outputs becoming inputs and I’m struggling to identify a situation where I would feed things back into the source. Also, named pipes kind of solve that already.
This reminds me of MIT's open courseware, 601 SC, unit 1 with state machines, going all the way to build Fibonacci with them without recursion, tbh the moment the teacher translated the state machine to bounds to electrical circuit I felt it was a leap and I couldn't quite understand their relationship, maybe I missed a requirement course. I tried to express that course in Rust as one of my first projects learning the language here https://github.com/sebosp/rustexercises/blob/develop/ocw601s... and I think a similar iteration in the direction of this project would be to build the dependencies as drag-and-drop boxes over the browser (maybe egui) and connect the state machines by clicks, maybe download the generated code as either bash or compilable rust code, you know, for kids.
Thats giving the community way too much organization credit.
Everyone just seems to be running experiments independently and then randomly drop some results, with basically no documentation. Sometimes the motivation is clearly VC money or paper exposure, but sometimes there is no apparent motivation... Or even no model card. Then when something works, others copy the script.
Not that I dont enjoy it. I find the sea of finetune generations fascinating.
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
sebosp commented on Audiobox: Meta's new foundation research model for audio generation ai.meta.com/blog/audiobox... · Posted by u/reqo
If I shutdown every voice other than the optimist's one in my head, this, along with other recent AI research, will mark the advent of never-seen-before role play game possibilities. If the current pace of progress continues, we'll see games with complete narrative freedom for players, where you aren't limited to pre-written answers anymore, but can actually talk to in-game characters with your actual voice, goals, and motivations. And those virtual conversation participants can talk back to you, react to your words and actions in a believable, fully immersive manner. That's a dream come true for every gamer on the face of this earth, I believe.
The more rational voices in my mind, though, become more and more afraid of a world where the only thing you can trust is people sitting right in front of you. That makes the world of information pretty small again.
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.
sebosp commented on ChatGPT generates fake data set to support scientific hypothesis nature.com/articles/d4158... · Posted by u/EA-3167
So we’re pretending making something an order of magnitude easier makes no difference? Ok.
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?
GPT-driven induced lucid dreams + sleeping pills + sleeping pods makes for a nice dystopian near-future movie plot where there's a new class of ever more hardcore Hikikomori that not only never leave their house, they also sleep for 20 hours per day and only wake up to do hygiene and so on. Maybe a further version includes supporting staff for life support maintenance like in paliative care place but for "never-awoke" people just sleep and navigate induced dreams 24/7 by having IV nutrition and staff to clean and turn them in bed.
Reminds me of https://en.m.wikipedia.org/wiki/Altered_States