yassa9

I tried to use the sun info , but honestly I couldn't at all,

thx for the tip

really thank u John, I felt disappointed after those comments, someone below said that the pangram is against my text, I doubted myself and even went to online pangram : https://pangramaidetector.org/

spent literally half an hour copying each single section and paragraph (removed the code and Katex) and literally all the results are "0% AI-generated text" or max 15%

haha : "write like a non-native English speaker"

man, Im actually non native speaker xDD

"replace you for u" ???? what ?!

glad u liked it :D

thaaank u man, I really appreciate ur comment

haha, I wish , this is my first OSINT challenge to solve tho

do u mean the whole work ? I spent at first 3 "whole" days in research, trial and error trying different methods and scripts, like for example tried the depth estimation to build upon it, failed many times till I gave up then came back after a week and spent another 4 days till succeeded then the refining, cleaning and organizing of all of that, also structuring and writing the blog, took about another 3 days

you can say that total is ~10 days of work

omg wow, thats super hard, although cool ,

haha, I actually agree

really glad that you liked it

ok

thanks ! no idea about Palantir, but in my opinion, this can not be automated , needs much manual work and tons of trial and error

thanks, and yea, it should be solved easily by passing the img to google lens, the website is the first result, but I found a fun opportunity to solve it in different way

honestly, I didn't think about it, I just trusted the OSM polygons

thanks, appreciate it

yea thank u, that's another part, but mainly it would hard although knowing that, because you need to know elevation of the drone or the camera, which is also extremely difficult (I already mentioned that in the blog)

ok, if u came with the whole conclusion by only this line, ok , but to answer u, ( I hate to justify myself , but have to ) I started writing the blog after I started solving another challenge from gralhix : https://gralhix.com/list-of-osint-exercises/osint-exercise-0...

and the part of the solution came from the metadata, the camera model, you can check urself, so when I came back to write the blog, it just came by flow,

I meant the blog itself, the writeup, the steps and the walkthrough all by hand , the final code u see is llm refined, of course, I wont publish my messy and spaghetti files with much tests, failures and dead ends, also vizualizations functions to produce that green maps , and faulty versions of them

but you are right, I should add that

yea, thanks :D , I used a tiny idea from geoguessing, that I banded the search on islands only in latitude between -30 to +30 deg. based on the sky and the tropical vibes in the img , and it worked !

oh, wow, I didnt know that existed, thank u, sure gonna look into it

yea, good observation, my guess is its the data more than the filter. OSM coastline polygons are generalized to different degrees depending on who traced them and from what imagery, so the fine shape detail a halo check would key on often is not in the geometry at all.

I observed that at the end, didnt push on it further though. It already passed and I was super exhausted

haha, thanks :D I was hesitant to whether write it or not, but I really really despise llm generated posts and blogs and im glad someone appreciated it

yea, search about geoguessing on youtube, people like Rainbolt, https://www.youtube.com/@georainbolt

they literally memorize and get patterns of every possible road, place, map of any area (scanned by google earth), getting exact coordinates from single image, and play competitions and world cup based on that

they do really nice videos about finding places in old photos people ask for

yea , heard about them before, but didnt know that whole treasure till I really used it , impressive

thannks, really grateful :D

thaaank you !! Its my first ever challenge to do, and yea, I really found my passion

in Egypt, every person is born with a universal national ID number , which is standardized everywhere here, but it created some problems, it became extremely valuable to attackers. If leaked, it can be reused across completely different services ( and you can never change it under anycase )

Having the full name + national ID was enough to bypass verification and activate various services, and many people weren't tech savvy enough to realize how dangerous it was to share or leak that info

thaaanks man, this channel seems really informative, although < 10K subs only !

Can anyone who has that specific personal test he tries on different models , and tries this model , to tell us here if possible , how good or bad is this new model ? compared to others ?

I only trust those users genuine personal tests

can you tell me ideas of usecases of 9 or 10B language models ? I cant find any usecases other than training a lora on them to give good bash commands for example