chris
2.5K posts

chris
@sonofnos_
engr” bro. did a thing or 2 in banking/fintech and startups, now a member of taste staff. i told you i am monitoring the situation…
Beigetreten Ekim 2017
568 Folgt376 Follower
Angehefteter Tweet

@abuHNS24 @segoslavia is this a joke ?
did you not see the image?
they wrote an email like a url
English

@segoslavia The @ (if it's what you are referring to) is to hide a "." to prevent from bots and stuff.
English


quote behind the bus:
“we are LASUED!. we are professional!!”

chris@sonofnos_
note: light traffic in VI this minute and there is a LASUED 40+ seater bus next to the car. looking through their window is a lady seating on top a half clad guy (except his shorts) and looking through their window are 8 other sets of people in similar posture.
English
chris retweetet
chris retweetet


just found out i am still on the waitlist (more than 6 days) and the event is starting merely hours from now.
how far @cursor_ai @CursorNigeria ?

English

nostalgia is a bug, not a feature
chris@sonofnos_
nostalgia is a bug, not a feature. You should acknowledge the past, but do not cling unto it, never, … you have to forgive, to let it go, in order to move forward …to avoid breeding the worsts of the “-isms” - fasc*sm - rac*sm - tribal*sm - antisemit*sm - sex*sm - elit*sm
English
chris retweetet

Africa holds 20 percent of the global population and produces exactly 1.8 percent of the world's AI research. The geographical gap in machine learning talent is massive.
Google DeepMind and University College London built an advanced AI curriculum to change those numbers. Now they are distributing the entire thing for free on Google Skills.
They bypassed basic AI literacy completely. The course drops students directly into building and fine-tuning generative language models and transformers from the ground up. Learners get hands-on experience engineering the exact architecture powering modern artificial intelligence.
An online course alone doesn't scale in emerging markets. Google.org pushed 4 million dollars to the FATE Foundation and the African Institute for Mathematical Sciences. That capital funds a massive train-the-trainer programme. African university lecturers receive specialised toolkits to bring the course offline and directly into physical classrooms.
They also localised the curriculum. The models and datasets focus on real-world research use cases specific to the continent.
We can't expect a fraction of the world to build the infrastructure for the entire planet. Researchers solving local problems need the resources to train their own models. The foundation is ready, and the syllabus is live.

English








