The Data Guy

If you guys want Inspiration for Design check this new one out. Designed for Vibe Coders 😂 https://www.inspora.design/

You won’t believe what they say 😆 They are saying to treat Claude like a Person and give it feedback when it did good thing ! I will try to post the recording when it comes out Man I wish they know how we treat Claude, like our slave at this point 🤣

They have moved from explainer videos to Explainer Games !!

Really great way to change your incidents and bugs as Evals for next time reviews . . . People in Claude actually Debug in Prod too 🤣 Crazy to see these people do that too

Vibe code Terminology is dead now, they call it. Rapid Application Development RAD

Really great way to learn about Claude Maxxing and become seriously Advanced user

Guys check Claude Webinars

For the first time in a while OpenAi didn't release a model after Claude ! This is Surprising !! I hope you guys have tried Fable 5.2

Got sick today guys, we will do it next time ! 🙏🙏🙌🙌

Let me know if you guys are up for SMA we can do it today or tmr…. Let me know if you guys are here Like this post if you are around now and want SMA today… we can do it tmr as well . . . Ask away

Claude Duet ! The part of Claude that reaches you out and initiate tasks and responses! Been waiting on this one, was on Waitlist for long time!! What do you think I should do with it … drop your comments on what I should test it with @datawithsimon

Hello everyone, We want to share a quick update regarding airtime redemptions on https://dataset.et telegram group. We have temporarily paused redemptions while we rebalance our resources and platform operations. As a reminder, every dataset we build here is completely open-source and created for the public good. The airtime rewards were introduced as a token of appreciation for our contributors, rather than as compensation or a guaranteed source of income. Because of this, airtime redemptions are not always guaranteed. If your primary goal is financial compensation, this project may not be the right fit for you. However, if you are passionate about advancing the future of the Ethiopian AI ecosystem, you are in the exact right place. We deeply value your dedication and will continue finding meaningful ways to recognize and thank our core contributors. Thank you for your understanding and continued support!

Few Areas to Advance in your Career as a Data Professional: Business understanding: AI struggles when requirements are unclear or stakeholders disagree. Learn to define metrics, clarify business rules and translate requests into measurable outcomes. Production reliability: Deepen CDC, distributed systems, duplicate handling, late events, reconciliation and disaster recovery especially failures spanning multiple systems. Architecture and cost: Learn to choose between batch and streaming, design data models, and balance speed, reliability and cloud spending. Data quality: Become strong at proving data is correct. Focus on data contracts, meaningful tests, observability and tracing errors back to their source. Security and governance: (Specially these days) Develop expertise in access controls, sensitive data, lineage and retention. Applying these correctly requires organizational context. Industry knowledge: Pick one domain and understand its operations deeply, This could be FinTech, EduTech, GeoSpatial, Telecommunications, Logistics & Transportation, Media, Advertising & Gaming, AgriTech and Finally Government Areas as well. Learn revenue calculations, refunds, fraud, reconciliation and reporting rules! These are always common ! Working with AI: Practice specifying requirements, Architectural methods, Fallback mechanisms, Backups, Security, Verification loops and Primarily Build on Observability Layer !! Directing agents and independently validating their output. Anthropic’s research associates stronger domain expertise with more successful agent use. Future outlook my forecast: More implementation will be automated; engineers who can design, verify and operate dependable systems should remain better positioned. USBLS still projects growth in data architecture.

This looks like a joke, but They are Heavily Training Ai to really do wonders with SYNTHETIC DATA !

People in the data space, Listen UP ‼️ The data realm is too deep and if you guys are using Ai for Everything and specially if you are letting it do some concept or method you dont know about, You are getting cooked 😭 So please take time to learn new methods and new architectures while you have time !

Hey Guys, make sure to check this Fellowship program for anyone who wants to do Ms or PhD

TG Brain is live I mapped Ethiopian Telegram creators as a living 3D brain. Neuron by Neuron, then trained a model with all the data that exists. Every connection is real. It comes from who mentions whom, who posts about the same things, and how ideas have actually moved between channels. What you can do: Find yourself and see your neuron light up Trace the pathway between any two creators Test an idea and watch it spread. See who’d pick it up first, who’d pass it on, and why each one was chosen Share your neuron to your channel There is No AI guessing. The model learns only from what’s actually been posted. Go find your neuron 👇 https://tg-brain.pro.et/ If you’re in it, share yours. That’s how the brain grows

I can testify for this ! I have worked for poor companies and I have worked for rich companies! The game is totally different 💯

For anyone interested in Masters Programs this is the right time. Check the above links for those in depth