Rugaba🇺🇬

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Rugaba🇺🇬

Rugaba🇺🇬

@rugaba98

|| Founder @sangyinmedia || AI Consultant ll Fmr. President - Uganda Students Association In China (USAC) || 3x Pride of Africa - Asia Awards Winner .

Uganda & China Katılım Temmuz 2018
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Emboozi Teb’ankadde
Emboozi Teb’ankadde@tebankadde·
Gen. Amin Dada's views on Israel and the Middle East
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AI Studio Uganda
AI Studio Uganda@aistudiouganda·
Meet Vian Kamanzi a student of International Business at @OfficialMubs Vian is building an AI-powered tool designed to help thousands of university students collaborate more effectively. And he's doing it right now as a student. This is exactly what AI Studio Uganda was built for. Not AI for AI's sake. But putting the power of building into the hands of students, problem-solvers, and everyday people who don't yet know they're builders. The next generation of African innovators isn't waiting for permission. They're already building. 🇺🇬 youtu.be/xutsY0mvZf0 @nssfug @ACCA_Uganda @Absa @ganafaR @1lamerckkavuma
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Pathogen Economy Labs
Pathogen Economy Labs@PEL_makerere·
At the AI Innovation Demo Day 2026, 9 startups pitched AI solutions tackling challenges in healthcare, security & public services. 🏆 Grants were awarded to GRITAP AI, LiverAI, Sukali Check, Law Lens, Simu & Sentinel. 💰Feyti Ltd, Impala Health & Phronesis each received UGX 50M through the AI Health Incubation Grant. Learn more: shorturl.at/CZgMa #AIInnovation | #AIinAfrica
Pathogen Economy Labs tweet mediaPathogen Economy Labs tweet mediaPathogen Economy Labs tweet mediaPathogen Economy Labs tweet media
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Alan Kasujja
Alan Kasujja@kasujja·
We’re mobilizing resources for the Uganda Media Centre. Big thanks to PS @azawedde and the @MoICT_Ug crew; ST @rggoobi, Budget Director Hannington Ashaba, Brenda Nantumbwe, and the @mofpedU team—they totally get why funding can’t wait. ..plus @NITAUgandaED for jumping in with those essential computers. We’re all about teaming up with the private sector. We’ll champion creatives, spotlight opportunities for the youth, and stand up for Uganda without holding back. I will prioritise meeting potential partners. Time to band together so Uganda gets the respect it deserves.
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wes
wes@weskambale·
the funny bit is that last year, i was invited to one of these so-called stakeholder meetings we discussed and deliberated on what government should do and include in the regulatory framework after speakin' my good english, now we get a kenyan firm..
GIF
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Stephen Deng
Stephen Deng@mrstephendeng·
We need to be serious about asking for details when people make claims like this and it starts to build virality. Sure, there is a chance they are doing what they claim, but there's almost no technical detail here about the capability of this model, how it was trained, and who did the training. > The site calls a Supabase backend and returns JSON all at once, not streamed. It does not transparently call its own model. > It returns reformatted model outputs with what looks like backend orchestration to search/tools and an LLM. > They're sending conversation history that makes it look more like app-layer than a model-serving API. At a minimum, they aren't exposing a model inference endpoint. They're sending messages to a backend that then feeds it into search/LLM elsewhere then spits a result back they modify and serve. They still could be forwarding this chat-wrapper to their own LLM but there's no evidence. It's much more likely this is either: 1. A wrapper/orchestrator on top of an existing LLM API with custom prompting. 2. A wrapper/orchestrator on a fine-tuned open model hosted elsewhere. The onus is on this team to clarify their claims and happy to update with technical details.
Veta Origin@vetaorigin

Global AI wasn’t built for Africa. So we built one that is. Powered by an African LLM.

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vixhaℓ
vixhaℓ@TheVixhal·
Computer science is gradually returning to the domain of physicists, mathematicians, and electrical engineers as large language models automate much of what we currently call software engineering. The field’s center of gravity is shifting away from manual code writing and toward deeper theoretical thinking, mathematical insight, and systems-level reasoning.
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Hussein Kizz ★
Hussein Kizz ★@hussein_kizz·
Am building safe and policy aware agentic sdks for Africa, anyone interested in collab or any forms of partnership inbox, I already have a team and company, so I expect serious people only, also this am not talking of employing anyone am looking for fellow technical fellows we can solve the puzzles and research together with. Africa needs it's own power and moving forward power is data and contextual intelligence. @NKaliisa if you can also angel invest in a preseed then we can change the narrative together with practice not words.
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Nabuuma Shamim
Nabuuma Shamim@NKaliisa·
We can speak about AI and hold conferences about it, but if we as Africa don’t take the practical lane, nothing will ever change. We will remain consumers not producers.
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Carol Prim ❤️🤭
Carol Prim ❤️🤭@CarolPrim3·
Excited to announce the AI Innovation Academy Demo Day 2026. We're spotlighting talented pre-seed AI pioneers crafting practical solutions for everyday problems. This event unites entrepreneurs, guides, collaborators, funders, academics, and business experts to witness bold ideas transitioning into impactful startup ventures. #AIInnovation | #AIEntrepreneurship
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wes
wes@weskambale·
recently, when i was tellin' @timkalyegira that ai still has a long way to go, i didn't know anthropic would drop such a fascinatin' study from the radar chart, two things are obvious to me: theoretically, ai coverage across occupational categories is remarkable, a i said it has improved since 2022/23 but the observed coverage, what's actually bein' deployed and used, is only a fraction of that ai as it exists today is still relatively new, usin' it effectively requires skills like prompt engineerin', agent buildin', and system integration that most organisations don't yet have there's also europe's regulations that are slowin' enterprise adoption, and africa's infrastructure limitations that make meaningful adoption unlikely anytime soon now look at what's barely covered under both theoretical and observed: healthcare support, production, transportation, agriculture, construction all these are the categories that run the physical world the most exposed occupations in the study are programmers at 74.5% (not system-level), customer service at 70.1%, and data entry at 67.1% notice anythin'? they're all text- and data-processin' jobs, and that's exactly what llms were built for generatin' a 20-page report in 30 seconds, which Tim finds fascinatin', is not integration into the physical economy it's not a workin' telemedicine system. it'is not a self-drivin' logistics network. it' is not an autonomous production line those require real-time decision-makin', hardware integration, and regulatory clearance that current llms simply don't have and the people buildin' these systems understand this, which is why they do not celebrate llms generatin' reports as Tim would want us to do when ai hits 60%+ observed coverage in those untouched physical-economy categories, then we can have a different conversation for now, i still maintain, we're not close.. ai still has a long way to go the study: anthropic.com/research/labor…
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Rugaba🇺🇬
Rugaba🇺🇬@rugaba98·
Venezuela 🇻🇪, Cuba 🇨🇺, Iran 🇮🇷, North Korea 🇰🇵 ,China 🇨🇳 then end with Russia 🇷🇺. That’s the script, that’s the objective . You saw it here first 💯💯💯
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