Let's just say building systems that communicate with each other and make autonomous decisions is great
Insights are also very important to see what decisions were made and why they were made.
Audit log should be part of your workflow
@bytechaindev
netrobe retweeted
HIRING via Sentry: visa sponsorship to Austria π¦πΉ (case by case)
Software Engineer, New Grad (2027)
Vienna (hybrid), β¬75K-β¬80K + equity
They help you relocate and cover housing.
Not affiliated, just sharing. Apply directly π
jobs.ashbyhq.com/sentry/f345β¦
οΌΏοΌΏοΌΏοΌΏοΌΏοΌΏοΌΏοΌΏ
| Weβre [still] hiring |
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A few open roles...
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Asked an ai agent to fix something for me, supposed to be a simple fix, i am seeing 9000+ line changes. Nah to clear context start afresh
netrobe retweeted
Replying to @YouVersion
@YouVersion didnβt ask, but I crocheted it anyway.
netrobe retweeted
A little over two years ago, I came to the U.S. from Nigeria at 14 with a suitcase and an obsession with ML.
Today, I'm 16 and working on Computer Vision + Robotics at @Apple
Recap:
β Competed in Math & Physics Olympiads from 11y/o
β Won Rubikβs Cube competitions at my boarding school, with a personal best of 18 seconds
β Lost my grandma to an undiagnosed illness: one of the reasons I became very interested in AI
β Graduated high school and started college at 15
β Researched diffusion models for crystal generation, inspired by drug discovery
β Prototyped robotic wheelchairs for people with disabilities
β Worked on an EdTech startup, OpenClaw for Students
β Joined @Apple this may on the ESCI org!
β Went to @ycombinator startup and met of the brightest and most ambitious minds
My dream is to build companies that expand what humanity can do with AI
I'll be sharing my journey here! Physical AI, agentic systems, and everything I'm learning along the way.
Completed my first paper, MapReduce.
A key thing is the importance of data locality in distributed systems, the proximity of data to the worker is important. Network bandwidth is an important resource a critical part of distributed computing is communication.
Started this lecture on distributed systems by Robert Morris from MIT. First paper is MapReduce.
MapReduce helps to model operations for processing large dataset by running a MAP over inputs then running REDUCE over its response to produce a final output
Just watched a fascinating 9-year-old talk by Martin Kleppmann on End-to-End Encryption, and it perfectly explains why older encryption standards had to evolve.
If you want to know how WhatsApp and Signal secure your messages, here are the most interesting takeaways π§΅π
The fix? Authenticated Key Exchanges.
By combining Diffie-Hellman with Digital Signatures and MACs (Message Authentication Codes), modern protocols prove who sent the message, while preserving "deniability"βmeaning nobody can permanently prove what you said off-the-record.
Doing side quests.
Iβve always wanted to type faster. Back in 2019, I asked a senior dev how he built his speed.
His brutal advice? "If you can't type, you're not even ready."
Safe to say, I'll never forget that encounter.
















