Chege

The super successful are super obsessed...

This is why a business idea sitting in your head is worth exactly zero.

This would have been making millions if it were to be in the western world

Patrick Bet-David: The most dangerous temptation in life.

Awww, she can’t wait to see him 🥹

The realist view of Machiavelli

The thefts involving SHA are now getting completely out of control!

So Ruto wanted to Use RSF to Facilitate his 2027 Bid,?

@DPOGroup @DPOGroup wajamiiustawi@gmail.com, kindly assist.

@mr_Tonito @mr_Tonito Thank you for conatcting DPO. We acknowledge receipt of your query. To assist you further, kindly share with us the email address you used when submitting your details so that we can review your request and provide feedback as soon as possible. Kind Regards, ^ER

Hello @DPOGroup, why can't you give feedback on account onboarding? It's been two months now. Bureaucracy for an account opening, really?

Journalists barred from photographing cleared Karura section Read more: nation.africa/kenya/climate/…

SHOCK !! Rafael Tuju exposes how Wafula Chepukati helped Ruto win the 2022 election

@drfrajee I don't know how many Kenyans are boiled out by the state of the country.

Statehouse goes in Panic mode after an intelligent GenZ did this live on TV WANTAM is Unstoppable

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

CONFIRMED. Trump raped minors. And it's all on tape.

UNBELIEVABLE!!

Wind is here🍃🍃

The Epstine file Look at the fear in the girl's eyes