Mboh Bless Pearl

Working with Ai, software and learning new languages(Currently Español)

[Mboh Bless Pearl @Mboh_Bless]

My goal now to pivot my Aldrin towards this area as there’s a giant market and potential for this would change a lot of thing in this sector.

For anyone reading this once in a while I just post my thought to platforms without formatting it for beautification if you deem it interesting, feel free to comment

[Mboh Bless Pearl @Mboh_Bless]

I feel like cleaning the dust from here after a while so after a few months or proposing my infrastructure project called Aldrin for African Ai inference infrastructure, I noticed that it was vague and while the vague vision is valid I feel like bringing it down to a specific area and a recent set of experiences.

[Mboh Bless Pearl @Mboh_Bless]

With the current rise in quality and speeds of AI/ML, there are virtually most areas such as medical imaging have great work on them. little is being done on properly automating some redundant systems that slow down the hospitals like triage, reading ultrasounds, X-rays, ultrasounds and more.

[Mboh Bless Pearl @Mboh_Bless]

@IGAnaJD @grok explain this

[MBZUAI @mbzuai]

Sovereignty matters when AI systems start to matter.

As AI systems move from labs into institutions, the question shifts from “how well does it perform?” to “what are we actually deploying?”

With K2 Think V2, sovereignty means owning the full lifecycle of the model without hidden dependencies or external assumptions.

This matters because long-term trust in AI systems relies on independence, accountability, and the ability to stand behind the system you deploy.

K2 Think V2 reflects our belief that sovereign AI foundations are not a future concern, but a present requirement.

Download here:
https://t.co/4ccNrTsDOf
https://t.co/8ODkcST9ne

#AISovereignty #ResponsibleAI #FoundationModels #K2Think #MBZUAI

[Mboh Bless Pearl @Mboh_Bless]

Last year I was posted some stuff about infrastructure related work. I have been talking with some people and was told to write a proposal for the research and system implementation. I have been thinking of calling this system Aldrin and would be working on creating this proposal.
In case any one feels like giving a helping hand with writing a great project proposals, please comment.

[Mboh Bless Pearl @Mboh_Bless]

A few days ago I made a post on infrastructure,
giving an overview of what challenges we have on the African continent. Deals like these show the potential of working on infrastructure that’s gonna benefit the continent while being compliant and yeah let’s see what early 2026 looks like.

[Groq Inc @GroqInc]

Groq has entered into a non-exclusive licensing agreement with Nvidia for Groq’s inference technology.

GroqCloud will continue to operate without interruption.

Learn more here:
https://t.co/yg4TeBpuqa

[Mboh Bless Pearl @Mboh_Bless]

@asafor_ndifor Of course when ever you ready

[Mboh Bless Pearl @Mboh_Bless]

Africa's AI adoption isn't just about getting GPUs, it's about architecting systems that respect data sovereignty while enabling capability. Working on frameworks that might help bridge this gap.

Side note 😅: Personally I currently am looking for a really challenging engineering stuff to do as since I completed my graduate degree I have not been challenged enough.

[Mboh Bless Pearl @Mboh_Bless]

Data sovereignty policies are creating a critical tension in Sub-Saharan Africa's AI advancement. Nations are rightfully protective of their data, yet AI deployment often requires specialized compute infrastructure (GPUs) that's prohibitively expensive and scarce across the continent.

The challenge is multifaceted: high costs, limited technical expertise in infrastructure management, inadequate power/internet infrastructure, and extended lead times from major GPU providers. This creates a gap between policy intent and technological capability.

I've been analyzing implementation patterns across various platforms and identified potential architectural approaches that could help reconcile data sovereignty requirements with practical AI deployment needs.

The goal: enable faster AI adoption while respecting legitimate data governance concerns.

If the theoretical framework holds up through Q4, I'm planning to start building a proof-of-concept in early 2026 to validate whether these patterns can actually bridge the sovereignty capability gap at scale.

The opportunity isn't just technical it's about making AI adoption viable under real African constraints rather than importing infrastructure assumptions.

[Mboh Bless Pearl @Mboh_Bless]

These are some ground work examples for how the issues(my previous 2 posts) can be approached though there'd be some fundamental differences

[Delta Institute @DeltaInstitutes]

🚨 Academics don’t have enough compute!

We’re solving this by connecting seekers (those who need more compute) with providers (companies with extra compute and GPU providers)

Fill out the relevant form below!

Seeker: https://t.co/r2t36IpSPk
Provider: https://t.co/lx5vah0rv1

[Mboh Bless Pearl @Mboh_Bless]

Data sovereignty policies are creating a critical tension in Sub-Saharan Africa's AI advancement. Nations are rightfully protective of their data, yet AI deployment often requires specialized compute infrastructure (GPUs) that's prohibitively expensive and scarce across the continent.

The challenge is multifaceted: high costs, limited technical expertise in infrastructure management, inadequate power/internet infrastructure, and extended lead times from major GPU providers. This creates a gap between policy intent and technological capability.

I've been analyzing implementation patterns across various platforms and identified potential architectural approaches that could help reconcile data sovereignty requirements with practical AI deployment needs.

The goal: enable faster AI adoption while respecting legitimate data governance concerns.

If the theoretical framework holds up through Q4, I'm planning to start building a proof-of-concept in early 2026 to validate whether these patterns can actually bridge the sovereignty capability gap at scale.

The opportunity isn't just technical it's about making AI adoption viable under real African constraints rather than importing infrastructure assumptions.

[Mboh Bless Pearl @Mboh_Bless]

I am currently evaluating topics to work, I am targeting the COLM (Conference on language modeling) march abstract submission deadline. I am just shooting a random shot out there if any one would be interested in brainstorming and coming up with a project and let's attempt to submit and see if we could attend this in oct 2026.

[Mboh Bless Pearl @Mboh_Bless]

@asafor_ndifor The kind of squad you see when you pull up to Boho in Kigali on a Friday evening.

[Mboh Bless Pearl @Mboh_Bless]

@asafor_ndifor 🔥🔥🔥🔥🔥

[Mboh Bless Pearl @Mboh_Bless]

Currently attending the @NbaAfricaTV s’ #NBAAfricatripledoubleaccelerator currently holding at @cmu_africa.
Great pitches to help change the content

[Mboh Bless Pearl @Mboh_Bless]

@mjovanc Facts

[Mboh Bless Pearl @Mboh_Bless]

Ohhh just a wild thought if this is good enough, rather than managing embedding generation for client queries, small enough state of the art embedding models can be loaded onto the client web application when dealing with RAG, thereby only making you spend for responses generation if that’s what you into. This could be useful in building CV applications too especially around classification and object detection.

[Chrome for Developers @ChromiumDev]

📢 WebGPU is now officially supported across Chrome, Edge, Firefox, and Safari → https://t.co/TNB1bpcQtq

Access high-performance 3D graphics and AI capabilities right in the browser with this major milestone.

[Nina Schick @NinaDSchick]

Three years ago, a million tokens of AI inference cost $60. Today? Six cents.

A 99.9% cost collapse. When something this powerful becomes this cheap, it doesn’t stay confined to research labs, It is able to flood the economy.

AI is now diffusing faster than any technology in history — into every industry, every workflow, every device; 800 million people use ChatGPT weekly. And we’re still nowhere near the high-water mark of what’s possible.

The real story is diffusion and ubiquity. Can intelligence become a utility — cheap, improving, self-learning, and embedded everywhere?

Because in a geopolitical contest defined by capability and speed, the nation that diffuses intelligence the fastest, across government, industry, and society, will gain an extraordinary advantage.

[Mboh Bless Pearl @Mboh_Bless]

Working with biometric data might seem like an easy problem especially around software implementation until we look at it from a standpoint of interoperability . Few days back, while working on a biometric task, I got to discover the CBEFF, framework developed by nist and later adopted by multiple other organizations and governments, currently powering top ranking passports such as that of the US and digital id systems used by more than 1.4B people in India and many more.
While not giving too much of technical details, it can be summarized as a standard for interoperability while allowing for the flexibility of customizations within given bounds of the framework.