Sumayah✧💙

Math | AI | Mobile(Flutter) | STEM | SDG 4&5 @thegirlstechie

[Sumayah✧💙 @summydev]

Systems, Structures, Mastery

[Nithya Shri @Nithya_Shrii]

Universities should really give alumni lifetime access to the library. We paid enough for tuition, the least you can do is let us keep reading.

[Gali @Papa_Galii]

Calculations like these are just aesthetics

Them no hard like that🤣🤣

[Sumayah✧💙 @summydev]

@NShiaki Ouchh sorry Nunsi. Get well soon 🫂

[Sumayah✧💙 @summydev]

@Ree_sznn Eiii😭😂

[Sumayah✧💙 @summydev]

@OJofABJ + terribly reduce the quality

[OJ of ABJ @OJofABJ]

Biscuit companies no dey complain about the economy, if e red dem just comot 1 from inside

[chinedu🦀 @chinedu_10]

No one is noting this, but the good thing is they are all Nigerian investors. We are getting there gradually.

[Robinho @deolarepublic]

They’re not losing the market to Bach. They left the B2C market to Bach while they pursued the bigger B2B pie. Flutterwave powers BRT in Lagos, paystack powers the train network from Yaba to Ibadan.

They left the B2C market for something bigger. Great opportunity for Bach to grab..

[sammy @_itzsammy]

Google wasn't the first search engine. The iPad wasn't the first tablet. Facebook wasn't the first social network. Tesla wasn't the first EV maker. Winning isn't about being first. It's about getting it right when the market is ready.

[Harmless @HarmlessHQ]

An individual citizen is hosting an online game with millions of users and the site is still active.

Meanwhile, INEC, with a budget of over N355 billion, couldn't implement a simple election without glitches.

[Mr Orero @mr_orero]

must you people advice?

you don build app with 1m users in 3 days before?

[Tobi Odogwu @Tobibanks]

Claude don suffer this period. ‘Replicate a game like Lagos life. Make no mistakes’

[Joseph Brendan @Joe_brendan_]

As people don see that babe revenue for the Lagos game

People go launch games from tomorrow like mad
See ehn, just prepare
You go see games

No be Nigerians again?

[Rosmine @rosmine]

AI model horror story time

At my last job, a engineering team (without ML background) built an AI classification model. It got 97+% accuracy, it got people promoted, and was running in production for about a year.

Then there was a reorg and ownership of the model got transferred to our ML team. We analyzed the model... and found it was useless. The accuracy wasn't any better than random chance. There were several problems:

1. They weren't using useful features, so from the start it was impossible to get good accuracy
2. They did their train/test split wrong, so there was huge overlap which made results look good
3. They didn't know the importance of monitoring performance online, which would've shown something was wrong
4. They didn't get reviews by anyone with actual ML experience who could've caught these issues

In the end all they did was waste months of development and money on compute.

So reminder to everyone using agents to build AI systems: AI is extremely easy to do wrong. Spending time learning the basics instead of blindly trusting agents will go a long way

[Roland Essang @Riyon1412]

@TheVictorOkafor Getting recommendations alone can open doors you never existed
Let alone your surname

[Sumayah✧💙 @summydev]

@AyomideBolu7 If you are interested with helping you for just £50per advicee let me know.

[Sumayah✧💙 @summydev]

Spent my day at a wedding, got home to fix(still on it oo 😕 ) a feature that had broken , just for me to get a call on an organizational fight I had zero knowledge of when it transpired(but got draggedinit) I've to give advice to this friend of mine in a relationship.

Merlin

[Jay⚡️(The AI/ML Guy) @dlifeof_jay]

Please, i need to know who these people are.

[Sumayah✧💙 @summydev]

@elmustyy_ *scary actually
Especially with the issue of data collection and ownership