Sick
4.8K posts

Sick
@sickdotdev
software engineer and figuring out life
Delhi Katılım Nisan 2025
654 Takip Edilen5K Takipçiler

🚨Turns out, Pokemon Go players accidentally helped train real delivery robots.
Over the last 8 years, Pokémon Go players generated 30+ billion real-world scans, and now that data is being used to guide delivery robots through cities with centimeter-level accuracy.
Here’s what’s actually happening:
GPS is terrible in dense cities.
Tall buildings = weak signals = “you’re somewhere here, good luck.”
That’s not enough for robots.
So instead, they use visual positioning:
the robot looks around, matches what it sees to a massive 3D map, and figures out exactly where it is—down to the sidewalk, building entrance, even specific corners.
And that 3D map?
Built by millions of people scanning parks, statues, streets, and public places while playing a game.
Yes, it was technically disclosed.
Some in-game rewards literally asked users to scan locations.
But let’s be honest, no one reads terms.
Now people are uncomfortable, but the data isn’t what it sounds like:
It’s not surveillance footage or private spaces, it’s static scans of public environments, basically the opposite of live tracking.
Think of it like this:
Google mapped roads for cars
Niantic mapped where humans actually go
Sidewalks
parks
hangout spots
urban corners GPS doesn’t understand
But the bigger thing worth paying attention to is that Niantic is just one of many companies quietly building their own spatial map of the physical world right now. And whoever ends up with the most complete version owns something that starts to look like the operating system for reality.

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🚨 OpenAI didn’t win by building better AI.
They won by deleting the entire dev workflow.
build Codex to generate code
realize devs still juggle 5 tools
install → lint → type-check → test → deploy
so they didn’t improve the model…
they removed the pain
buy the f*cking tools
integrate everything
automate the entire loop
boom.
now:
→ code writes itself
→ dependencies install themselves
→ errors get fixed automatically
→ tests run without asking
→ features ship end-to-end
Codex isn’t “AI coding” anymore.
it’s the entire dev environment.
OpenAI Newsroom@OpenAINewsroom
We've reached an agreement to acquire Astral. After we close, OpenAI plans for @astral_sh to join our Codex team, with a continued focus on building great tools and advancing the shared mission of making developers more productive. openai.com/index/openai-t…
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Hot takes:
1. Job-hopping will pay you faster than loyalty ever will.
2. Refusing small beginnings is a silent career killer.
3. University is the same as being unemployed but your parents are proud of you
4. Job hunting is such a humiliation ritual
5. Leaving a toxic job for your mental health is actually a win.
6. Imagine applying for a job then not picking up calls from random numbers
7. Anyone saying “my job gives me a purpose in life" is genuinely a slave
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@carlos_bra31870 this is the scary part
people can ship faster than they can explain what they built
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@sickdotdev I know senior devs first-hand that no longer remember the core concepts because they just let AI do absolutely everything
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@sickdotdev Not just vine coding but using claude, gemini, chatgpt for anything stops learning.
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@pablobuilding this is the only sane take here
ai before fundamentals = illusion of skill
ai after fundamentals = leverage
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@sickdotdev Depends on where you start.
If you vibe code before understanding the fundamentals:
yes, it stops learning.
If you vibe code after:
it accelerates building.
The foundation has to come first.
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@SimonovicDev you are learning answers faster
not necessarily learning how to think
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False — it actually speeds up learning. You no longer have to spend hours digging through Google, Stack Overflow, or documentation. Instead, you get exactly what you need much faster.
In my 8+ years as a developer, I haven’t learned as much as I have in just the past few months using AI for coding. It also helps you discover new ways of thinking about problems.
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