📢 We're excited to announce "Whose Intelligence?" by ML Collective (Africa)!
Building Agentic AI in Africa Without Frontier Model Dependency.
Register here https://t.co/pgSw6j7aLT
More details coming soon.
#WhoseIntelligence#AgenticAI#AfricaAI#ResponsibleAI#AISafety
Holy shit… this might be the most unreal academic-writing upgrade I’ve ever seen 🤯
A team from NUS just dropped PaperDebugger an in-editor, multi-agent system that lives inside Overleaf and rewrites your paper with you in real time.
Not copy-paste. Not a sidebar chatbot.
Actual agentic editing inside your LaTeX editor.
Here’s why this is insane 👇
→ You highlight a messy paragraph, and it launches a full critique + rewrite pipeline
→ Returns clean before–after diffs like Git, then patches your document instantly
→ Runs Reviewer, Enhancer, Scoring, and Researcher agents in parallel
→ Uses Kubernetes pods to scale multi-agent reasoning inside the editor
→ Taps an MCP toolchain for literature search, reference lookup, and section-level enhancement
Deep research mode is even crazier:
It pulls relevant arXiv papers, summarizes them, compares your method against them, and generates citation-ready tables… all inline while you're writing.
It’s basically a mini committee of reviewers embedded in your document rewriting, critiquing, sourcing, and polishing without ever breaking flow.
If this scales, Overleaf stops being an editor… and becomes a full AI-assisted research environment.
Almost half the researchers at RareSkills are from Nigeria.
If you can’t find good talent there, it’s a skill issue with recruitment, not a country problem.
I used to think that Africa was technologically behind until my cousin and I partnered with a major $100B fund and had to search for ventures doing $1m ARR and ready to IPO in 3 years. I met companies I never knew could exist in Africa. My favorite made airplane parts here.
Then Aerobotics blew my mind away as their market is now in America. The real people building amazing stuff in Africa are not seeking validation from the African media; they are quietly building and going global.
This is why AI references about African tech based on media announcements alone annoy me. There is so much we don't know about Africa, and we are not even making enough effort to know.
Last week, I gave a talk on The State of African NLP: Africa has 2000+ languages, yet most remain low-resource in AI. Only 61 languages have speech corpora, and gaps are stark. Still, talent is rising: communities like Masakhane are building world-class research by bringing...
A little while ago, many of you gave generously to support a number of MLC-Nigeria researchers in attending Deep Learning Indaba #DLI2025. Here's the crew 👇that attended; from what we hear it was a bustle of talks, posters, mentorship, and sparks of collaboration!
Today we say goodbye to @DeepIndaba after six inspiring days in Kigali rich with keynotes, tutorials, workshops, mentorship circles, and insightful posters that kept us learning non-stop. Some of us were only able to make it down to #DLI2025 because of your generous support.
We're halfway there!https://t.co/NTMEJTMuHr
To me, @ml_collective is a cheat code to becoming a researcher from a constraint environment. Many of its members are now PhD students at top labs across Europe and North America, people who, not long ago, were in the same position
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ML Collective is bridging the gap in AI by making it possible for these young researchers to attend @DeepIndaba ’s annual conference this year. Please consider supporting these undergrads by donating to this cause. They've all shared their stories in the video from this tweet ❤️.
I will be presenting a poster titled “Understanding LLM Reasoning Capabilities through Rebus Puzzles” at DLI @DeepIndaba 2025.
Other early-career researchers like me would also be showcasing their work, and your support, no matter how small, will go a long way
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Over a year ago, I was new to research without a clearly defined research area. It initially felt ambiguous, with little understanding of the prerequisites for conducting ML research. But @ml_collective gave me the platform to build my foundation. Although before that...
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@ml_collective has created a space for people like me and so many others to grow, ask questions, and take our first steps into ML research without feeling out of place. That kind of support means everything.
I'm implementing a paper that uses breath sounds (e.g., wheezing, stridor) to train an AI model to diagnose respiratory conditions like asthma and tuberculosis.
We are HALFWAY there! Thanks to all those who've kindly contributed 🙏🙏
With Indaba <4 weeks away, let's send all the 25 African researchers to their dream conference!
Donate what you can: https://t.co/ryCItIoxNs
Can curvature-aware regularization tackle the sharp minima problem in deep networks to achieve better generalization?
I hope to present my findings at DLI’25 — and we’re almost halfway there!
Help make it happen.
Donate/share: https://t.co/UHBfpWSHY2
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That one opportunity became a launchpad.
My project went on to win Best Poster awards at two national conferences, and was recently presented on a global stage at EuroPython. The manuscript is currently under development to be submitted at AAAI26. 🌍✨
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When I first pitched my project at an MLC Nigeria Sunday Research Jam (frame 1), I had no idea how to turn it into proper research.
But with their support, mentorship, encouragement, and even transport funding to IndabaX Nigeria, everything changed.