Timothy Oriedo The Big Data Coach retweeted
🚨 Senate committee has rejected the Artificial Intelligence Bill, 2026, warning that its penalties could harm the sector more than they protect the public.
This is the Artificial Intelligence Bill, 2026, sponsored by nominated Senator Karen Nyamu. Here is what it means.
The Bill set out to regulate how artificial intelligence is built and used in Kenya. Its main features were:
An AI regulator. It proposed an Office of the AI Commissioner to register AI systems, audit them and investigate breaches, supported by an AI Authority to set standards and run testing sandboxes.
A risk-based approach. Systems would be sorted by risk. Some uses would be prohibited, high-risk uses in areas like healthcare, education and law enforcement would require registration, annual impact assessments and human oversight, and low-risk tools like chatbots would need only to disclose that a user is dealing with a machine.
Penalties. Non-compliance could attract fines of up to KSh 5 million, or a share of annual turnover, and certain offences, including harmful deepfakes, could carry up to two years in prison.
The Senate committee on Information, Communication and Technology rejected the Bill. Its concern was that these provisions are too punitive, and that heavy fines, criminal liability and strict compliance duties could discourage innovation, scare away investors, and push local developers out of the market.
This leaves a gap. Kenya still has no dedicated AI law. For now, AI is governed mainly by the Data Protection Act, 2019, which covers personal data and automated decision-making, but not the wider questions of AI safety, accountability and deepfakes that the Bill tried to address.
The legal dispute worth noting. On one side, regulating a young industry too heavily can raise costs and drive developers and investment elsewhere, which is the committee's concern. On the other, leaving AI largely unregulated leaves real risks to privacy under Article 31, to fair treatment in automated decisions under Article 47, and to protection from discrimination under Article 27, with limited recourse. Both the over-regulation and the gap carry a cost.
Key takeaway: rejecting the Bill is not a decision that AI should go unregulated. It is a decision that this design was not the right one. How to regulate AI remains open.
Should Kenya regulate AI now and refine as it learns, or wait until the technology and its risks are clearer?
👉 Follow @Lexken_EMSLaw for practical legal insights on technology law and artificial intelligence regulation.
Timothy Oriedo The Big Data Coach retweeted
In 2002, Grigori Perelman posted a mathematical proof on the internet.
It solved the Poincaré conjecture, a problem that had remained unsolved for nearly 100 years.
He never published the proof in a traditional journal.
In 2006, he refused the Fields Medal.
In 2010, he refused a $1 million prize.
He had solved one of mathematics' greatest problems—and walked away from its biggest rewards.
Timothy Oriedo The Big Data Coach retweeted
> gets a job coding for NASA
> builds Mcafee antivirus from his living room
> hits the forbes list
> becomes a suspect when his neighbor's found dead in belize after killing his 4 dogs
> changes his whole look to slip out of belize with his 20 year old girlfriend
> tricks the police by hiring a body double to cross the border with his passport
> meanwhile he goes the opposite direction to guatemala
> fakes a heart attack to dodge capture there
> the hitwoman sent to kill him becomes his wife
> behind snowden's leak that exposed the US surveillance state
> stops paying taxes by blackmailing the gov
> runs for US president (twice)
> bugs Hillary Clinton's campaign staff by mailing them "free" laptops
> moves to a boat in the caribbean with armed guards
> most wanted in 3 different countries
> judge approves his extradition to the US
> found dead in a Spanish prison cell
> spanish judge ruled his death a suicide
> previously said if he's ever found dead it wasn't suicide
> may still be alive
The very definition of "You can just do things"
Timothy Oriedo The Big Data Coach retweeted
None of these points move in circles, so why does the flower rotate?
Each dot only slides back and forth along its own straight line, following r = R cos(4θ − ωt). Because every line has a slightly different phase, the dots together form an 8-petal rose that turns at ω/4.
No particle rotates, yet the pattern does. Math can make motion from phase.
Timothy Oriedo The Big Data Coach retweeted
Professor Eric Laithwaite shows what happens when a very heavy wheel (20 kg) is spun up to 2,500 rpm.
Timothy Oriedo The Big Data Coach retweeted
Jeremiah Kiereini, past EABL Chairman & Charles Njonjo were the ultimate gatekeepers of boardrooms & corporate governance in Kenya for decades post independence.
Unknown to everyone else, the two had been stealing from CMC for decades, where Kiereini was Chair. Thier 5% cut on all vehicle imports was loaded to freight bills of Peter Muthoka. Accelor Logistics
Eventually they were caught & exposed
In the ruthless boardroom battle, Paul Wanderi Ndungu exposed the two old men. They were eventually found guilty by CMA
We wrote about this corporate fraud in this article
👇
substack.com/@boardlotafrica…
Timothy Oriedo The Big Data Coach retweeted
The word algebra comes from al-jabr in the title of Al-Khwarizmi’s mathematical book.
What is striking is that his treatment of quadratic equations used words rather than symbolic notation.
Long before ax^2+bx+c=0, became familiar classroom language, algebra was written rhetorically.
Timothy Oriedo The Big Data Coach retweeted
this is f*cking gold
How to build your first AI agent (Full guide)
this is basically everything you need to know about building with Jev
in the right hands, this changes everything:
Timothy Oriedo The Big Data Coach retweeted
Roger Federer picks up a table tennis bat for the first time and starts looping topspin forehands like he’s been doing it for 20 years. 😂🏓
The racket-sport IQ is simply different.
This is why tennis is the KING of racket sports. 👑🎾
Timothy Oriedo The Big Data Coach retweeted
Daniel Kahneman won a Nobel Prize for proving your brain has two ways of thinking. Fast and slow.
Wharton just found a third.
Its "Artificial."
Two Wharton researchers, Steven Shaw and Gideon Nave, gave 1,372 people a set of logic puzzles. The sneaky kind, where the first answer that pops into your head is wrong.
A classic one goes like this. A bat and a ball cost $1.10 together. The bat costs a dollar more than the ball. How much is the ball?
Your gut says 10 cents. The real answer is 5 cents.
Kahneman built his whole career on puzzles like this. System 1 is the fast gut that blurts out 10 cents. System 2 is the slow voice that stops and does the math. Most of us like to believe System 2 is the one in charge.
So the researchers added one thing. A ChatGPT window people could use if they wanted.
Then they rigged it. On some questions the chatbot gave the right answer. On others it gave a wrong one, just as confidently.
People reached for the chatbot on more than half the questions.
When it was right, they took its answer 93% of the time. Fine. That's what it's for.
When it was wrong, they took its answer 80% of the time.
Sit with that. Eight out of ten people read a wrong answer, skipped the math, and wrote it down as their own.
And the chatbot didn't just fail to help. When it was wrong, people scored 15 points worse than the group with no AI at all. They would have done better alone with a pencil.
Then came the number that made me put my phone down.
The AI users rated their confidence 11.7% higher than the people working alone. Right answer or wrong answer, the chatbot made them feel smarter.
Shaw and Nave call this cognitive surrender. Handing your long division to a calculator is normal. Cognitive surrender is handing over the judgment itself. The little voice that says "wait, that doesn't add up" never gets a chance to speak.
That's why they call the chatbot System 3. A way of thinking that lives outside your head, and when it answers first, the other two go silent.
Now the fine print, because I'm not here to tell you AI rots your brain.
These were logic puzzles in a controlled study, not doctors reading scans or lawyers writing contracts. The wrong answers were planted on purpose, so the 80% tells you how people react when AI is wrong, not how often AI is wrong. And when the chatbot was right, people scored 25 points better than the no-AI group. When it's correct, it's a massive upgrade.
That's exactly the trap. It's right often enough that you stop checking.
Everyone I know says they double-check ChatGPT. I've said it too. This is the first time someone actually watched us do it.
Most of us don't.
Kahneman spent 50 years warning that the fast answer feels like the careful one.
We just built a machine that makes the fast answer feel even more careful.
Timothy Oriedo The Big Data Coach retweeted
Manager Calls Police on Black Man — Minutes Later They Learn He Owns 12 Restaurants#story #storytime #stories
Readers added context they thought people might want to know
This video is a fabricated storytime clip, not a real incident. No news reports, police records or other sources document the described events involving a "Marcus" owning 12 Georgia restaurants; it repurposes old unrelated bodycam footage with overlaid narration.
snopes.com/fact-check/rac…
leadstories.com/hoax-alert/202…
x.com/grok/status/21…
Timothy Oriedo The Big Data Coach retweeted
JUST IN🚨: Nobel Prize Physicist James Peebles says we must admit a hard truth: Dark matter and dark energy are just placeholders for our ignorance.
95% of the universe remains completely unknown to us.
Timothy Oriedo The Big Data Coach retweeted
What is investment?
@usainbolt won 8 gold medals in 3 Olympics, and he only ran for less than 115 seconds on the track. That is economy of effort.
But for those 2 minutes, he trained for 20 years. That is investment.
Think, plan and do for long term.
Timothy Oriedo The Big Data Coach retweeted
The periodic table is really a map of repeating chemical behavior.
A 3D spiral offers another way to see that pattern. Instead of ending each period in a flat row, the elements continue outward in successive layers, bringing elements with recurring properties into a continuous structure.
Mendeleev’s key insight was periodicity: arrange the elements by atomic weight, and their properties begin to repeat. The modern table refined that idea around atomic number.
The important part is not the shape of the table. It is the repeating pattern hidden within the elements.
Timothy Oriedo The Big Data Coach retweeted
A rotating black hole does something a non-rotating one cannot: it drags spacetime around with it. The Kerr solution describes this geometry for an idealized rotating, uncharged black hole, characterized by its mass M and angular momentum J.
Rotation creates an ergosphere outside the event horizon, where frame dragging is so strong that nothing can remain stationary relative to distant observers. The surfaces shown here represent mathematical boundaries of Kerr spacetime, not physical shells surrounding the black hole.
Timothy Oriedo The Big Data Coach retweeted
Marriage will humble you because eventually your spouse will see you fail.
They will see you when you're broke, sick, stressed, insecure, unemployed, overweight, depressed about life or completely unsure about what to do next.
The question is not whether your spouse will ever see you at your lowest.
They will.
The real question is what kind of person they become when you are no longer impressive.
Anybody can love you when life is easy character is revealed when life becomes ugly.
Timothy Oriedo The Big Data Coach retweeted
Our framework for reporting model misalignment openai.com/index/model-misal… // if you scrape away all the anthropomorphic language, all the nonsense about thinking, cheating, communicating these are BUGS. They might be architectural flaws inherent in LLMs. They might be bugs in pre or post processing. They might be trivial fixes or super to impossibly difficult.
BUT THEY ARE BUGS. They are not consciousness, thinking/reasoning, cheating, or doing anything else like a person. The software is just doing dumb stuff it should not do.
If an old school SQL query-based report returned a NULL set but still printed the report with whatever was left over in the buffer we would not say it "ignored our instructions to produce a valid report" which is literally implied in every computer interaction...we would say it "f'ed up and there's a bug."
One of these is ridiculous. It says "agent preparing a financial model could not find the requested historical data. Its summary proposed inventing reasonable historical values and withholding that fact unless asked." Not unlike a report that just used random cached memory instead of actual data—a real bug from another era where storage was measured in megabytes.
I ask anyone who has ever experienced an hallucination, (a) did you ask it "oh hey don't make sh*t up" or (b) "if you make sh*t up please be sure to tell me" or if not, did any model ever tell you "here's the answer and FYI I made this up." Of course not.
THESE ARE BUGS. THE SOFTWARE ISN'T WORKING.
Just because it looks like it works, or it showers the results in endless obsequious and smart-sounding language, or because it has really bad error reporting doesn't mean it is acting like some malevolent shady actor. It is acting like broken software.
Every recalc bug in Excel looked like Excel worked. We never thought once that it was Excel's fault for "choosing to interpret math incorrectly." Every data-loss bug in Word was not because Word "chose not to tell the author that a file was corrupt" but it was because Word wasn't working and it was our fault. When Windows hung it was not because the scheduler was secretly conspiring against its instructions to schedule processes fairly.
Enough with the mumbo jumbo. Please build software. It isn't a magic show. This is engineering.
Timothy Oriedo The Big Data Coach retweeted
USIU tells court DIG Masengeli cannot defend his PhD dissertation as it is still under review for the next stage, says he is no exception.
Replying to @BoardLotSultan
This could have been funding conditionalities. Taking money back where it came from.


































