George

developer | enjoying the peace of cycling

[Eunice Ajim @euniceajim]

"Who will pay for SaaS in Africa?"

This question came up hundreds of times across my comments this week.

It's the right question. And most people are asking it wrong.

Let me explain.

[George @_georgeodev]

@DrZikOye @JAMBHQ Lol

[George @_georgeodev]

@aymanfsm 🤣🤣🤣

[George @_georgeodev]

@HaYoMiDe_ lol there isn’t

[George @_georgeodev]

@Bunny_ngl @asemota Gentrice

[George @_georgeodev]

@Damilolawo1a Understand their syntax. And their built-in functions.

[George @_georgeodev]

@fidexcode C

[LaughBreak: Dad Jokes ‘N More @MediocreJoker85]

A computer programmer goes to buy some bread.

On his way out, his wife says, “And while you're there, get a carton of eggs.”

He never returned.

[Afuevu @Afuevu1]

Our latest ECU board is in.

This is an upgrade to what’s already powering our electric bicycles on the road today

We’re building EV control systems for 2-wheelers right here in Nigeria, starting with electric bicycles and scaling to full EV bike ECUs.

[George @_georgeodev]

@ItsSoniaNG @Ollie_68 @ChuksEricE But that was the focus of your comment.

[George @_georgeodev]

@adiotayo @DAMIADENUGA Lol

[GitHub Projects Community @GithubProjects]

A Self-Hosted WhatsApp REST API for Developers

[Fredrick @Drickfavour]

I'll answer that; not from a place of excuse or support but a cause for enlightenment. I think the real question to ask is: does a successful product falter? Given Okra's 175% surge in usage in a single quarter in 2020. So, I'll tell what happened and why it all ended this way.🧵

[George @_georgeodev]

😂😂😂😂😂

[Ben Lang @benln]

Andrej Karpathy on how software is changing:

[Y Combinator @ycombinator]

Elon Musk (@elonmusk) on digital superintelligence, multiplanetary life, and how to be useful this week at AI Startup School.

[Aish @aish_caliperce]

Andrej Karpathy explains why human-AI collaboration often fails: we've got the workflow backwards and the bottleneck wrong.

He points out that when working with AI, there's a clear pattern. The AI generates solutions quickly while humans verify the output. The goal is making this loop as fast as possible to get real work done.

The first way to speed this up is through better verification tools. GUIs are crucial because they tap into our brain's visual processing power. Reading through walls of text is slow and painful, but visual interfaces create a highway to understanding.

The second approach is keeping AI constrained. Karpathy warns that people are getting too excited about autonomous agents. An AI that instantly generates 10,000 lines of code isn't helpful when a human still needs hours to verify it's bug-free and secure.

The fundamental problem is that even instant AI generation becomes useless if humans can't verify fast enough. The human becomes the bottleneck, having to check for bugs, correct implementation, and security issues in massive outputs.

His solution is simple: constrain AI output to maintain manageable verification loops. Don't let AI run wild with massive changes. Keep it on a leash so humans can actually review and approve the work effectively.

[George @_georgeodev]

@Official_ly_Dev C++

[George @_georgeodev]

@OEzebilo @vhubofficial @chude__ So do we as a population start basing our decision making on fake, synthetic data? That will be the more reason why we will be cooked. Not that the AI is good but that we believe the false and synthetic data it fed us.

[George @_georgeodev]

@OEzebilo @vhubofficial @chude__ It all depends on available data. We humans create new data (something never done before) off impulse and gut feel. So Yh AI may get better but will still hit the wall of data availability. It depends on us for that data.