Ezekiel Obhafuoso

I’m in the business of improving lives through technology.

[Daanish Khazi @bertgodel]

We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.

It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.

[Ryan Carter @Grow_withAI]

🚨 ANDREW NG JUST DROPPED A 2-HOUR MASTERCLASS ON GRAPH ENGINEERING — FROM ONE AGENT TO FULL AUTOMATION.

9:14 — Build your first agent
33:11 — Loop engineering
1:02:46 — Graph engineering
1:30:15 — Agents that rewrite themselves
1:49:05 — Build the full graph system

Two hours that could replace every agent course you bookmarked this year.

Prompts → Agents → Loops → Graphs

Most people build one agent and call it “automation.”

Andrew Ng shows what comes next:

A graph that connects everything, adapts, and keeps the workflow running without constant human input.

Same model.
Same tokens.
A completely different level of automation.

Watch it today.

The step-by-step guide is below ↓
Save this before everyone discovers it.

[Favourite Al & Automation @favoritetechgal]

Today, I’m starting a new chapter.

I’m officially starting my own agency

When I first stumbled into automation, I didn’t realize how much it could change the way people work. I was just experimenting, breaking things, fixing them, and staying up late chasing solutions.

But over time, I discovered something powerful: businesses don’t just need tools, they need systems that save them time and free them to grow.

That passion has now taken form as my own agency, dedicated to helping businesses leverage AI + automation to work smarter, not harder.

This is more than a business launch, it’s a dream I’ve been building piece by piece, mistake by mistake, lesson by lesson.

I’m excited (and a little nervous)🥹.

I will be documenting everything here as we make progress.

Here’s to bold steps and new beginnings.

[MTN Nigeria @MTNNG]

For 65 years, we’ve been making the world stop and say “Naija no dey carry last!” 🇳🇬

From afrobeats to fashion, sports to food, we keep showing the world what it means to be proudly Nigerian.

This Independence, let’s celebrate us.

YelloIndependence
NigeriaAt65

[Y Combinator @ycombinator]

Andrew Ng (@AndrewYNg) on how startups can build faster with AI.

At AI Startup School in San Francisco.

00:31 - The Importance of Speed in Startups
01:13 - Opportunities in the AI Stack
02:06 - The Rise of Agent AI
04:52 - Concrete Ideas for Faster Execution
08:56 - Rapid Prototyping and Engineering
17:06 - The Role of Product Management
21:23 - The Value of Understanding AI
22:33 - Technical Decisions in AI Development
23:26 - Leveraging Gen AI Tools for Startups
24:05 - Building with AI Building Blocks
25:26 - The Importance of Speed in Startups
26:41 - Addressing AI Hype and Misconceptions
37:35 - AI in Education: Current Trends and Future Directions
39:33 - Balancing AI Innovation with Ethical Considerations
41:27 - Protecting Open Source and the Future of AI

[Alex Veremeyenko @alex_verem]

This is going to revolutionize education 📚

Google just launched "Learn Your Way" that basically takes whatever boring chapter you're supposed to read and rebuilds it around stuff you actually give a damn about.

Like if you're into basketball and have to learn Newton's laws, suddenly all the examples are about dribbling and shooting. Art kid studying economics? Now it's all gallery auctions and art markets.

Here's what got me though. They didn't just find-and-replace examples like most "personalized" learning crap does. The AI actually generates different ways to consume the same information:

- Mind maps if you think visually
- Audio lessons with these weird simulated teacher conversations
- Timelines you can click around
- Quizzes that change based on what you're screwing up

They tested this on 60 high schoolers. Random assignment, proper study design. Kids using their system absolutely destroyed the regular textbook group on both immediate testing and when they came back three days later.

Every single one said it made them more confident.

The part that surprised me? They actually solved the accuracy problem. Most ed-tech either dumbs everything down to nothing or gets basic facts wrong.

These guys had real pedagogical experts evaluate every piece on like eight different measures.

Look, textbooks have sucked for centuries not because publishers are idiots, but because making personalized versions was basically impossible at scale. That just changed.

This isn't some K-12 thing either. Corporate training could work this way. Technical documentation. Professional development.

Imagine if every boring compliance course used examples from your actual job instead of generic office scenarios.

We might have just watched the industrial education model crack for the first time. About damn time.

[François Chollet @fchollet]

The 3rd edition of my book Deep Learning with Python is being printed right now, and will be in bookstores within 2 weeks. You can order it now from Amazon or from Manning.

This time, we're also releasing the whole thing as a 100% free website.

I don't care if it reduces book sales, I think it's the best deep learning intro around, and more people should be able to read it.

[Baxate @Baxate]

Listen up students and developers early in your career:

If you want to up-level your skills in AI, learning how to build an AI Agent is a must!

Models are getting smarter, but giving them access to tools, chaining multiple models together, and enabling them to query data allows you to build valuable solutions you otherwise wouldn't be able to.

This blog and associated launchable to follow along will teach you everything you need to know about building a simple agent, leveraging Langraph, @openrouter , and NVIDIA's Nemotron Nano V2 model.

It is intended for beginners. Give it a shot!

[Georgia Channing @cgeorgiaw]

Seeking students & open-source contributors to join some ML-for-science projects at @huggingface.

If you're curious about ML × biology or ML × materials science, this could be a great way to learn + contribute. I can offer Pro subs, support, and (for longer-term work) recommendation letters.

If you or anyone you know might be interested—reach out (DMs open).

[Akhilesh Mishra @livingdevops]

Why senior DevOps engineers get paid 2-3x more?
Because they think differently, not harder.

Take this example:
A production Kubernetes cluster goes down. 500 pods crash simultaneously.

Junior DevOps Engineer:
Frantically checks random logs across 20 different services. Looks at CPU metrics, memory usage, disk space. Restarts pods one by one hoping something works. Opens 5 different monitoring dashboards. Googles “Kubernetes pods crashing” for the 10th time.

3 hours later: Still debugging.

Senior DevOps Engineer:
Asks 4 simple questions before touching anything:

- What deployments happened in the last 24 hours?
- What cronjobs or automated processes are running?
- What external dependencies could be affecting this?
- What does the event log show for the failing pods?

Runs:
kubectl get events --sort-by='.lastTimestamp' | head -20

Discovers a new ConfigMap deployment removed a critical environment variable that one services depend on.

Issue resolved in 15 minutes.

The difference isn’t technical knowledge. It’s thinking methodology.

Junior engineers react. Senior engineers investigate.

Junior engineers check symptoms. Senior engineers find root causes.

Junior engineers panic in chaos. Senior engineers follow a mental framework.

Real-world Kubernetes troubleshooting isn’t about memorizing kubectl commands.

It’s about understanding:

- How distributed systems fail
- What changes trigger cascading failures
- How to trace problems across multiple services
- When to rollback vs when to fix forward

This is what separates DevOps engineers making 25 LPA from those making 50-60+ LPA.

P.S. Every Senior was once a junior but not all junior get to be a senior. It’s not about years.

[Raul Junco @RaulJuncoV]

Most engineers stay average because they practice code questions.
Top engineers get ahead because they practice system design questions.

These 20 aren’t trivia.
They’re the ones that reveal if you can actually scale, simplify, and ship.

Read them. Save them. Drill them.
Because the engineer who can design systems…
…owns the room.

Add more to this list.

[Santiago @svpino]

Building AI applications has never been simpler!

Here is an agentic for loop combined with an agentic conditional written in Python.

AI is changing software development!

[Ezekiel Obhafuoso @ezekieltech]

8/8
This project showed how AI can bridge customer trust & retail workflows in Nigeria—and hopefully, in other emerging economies.

Would love to hear from anyone working at the intersection of AI, commerce & emerging markets.

#myMScJourney #AI_in_emerging_markets

[Ezekiel Obhafuoso @ezekieltech]

1/8
My MSc journey at the University of Lagos has been wonderful. I'm concluding this year. My final project explored how conversational AI can transform retail in emerging markets like Nigeria. I will like to share an overview as I wrap up this journey

[Ezekiel Obhafuoso @ezekieltech]

7/8
Why It Matters
Emerging markets don’t just need fluent chatbots.
They need trust-sensitive, workflow-integrated assistants that scale sales while preserving the human touch.