Monday, September 21, 2026

The USA government has FAILED to give us Online Freedom of Speech. How many innocent people is evil Google unfairly censoring?

 



Black Americans are DONE with white liberals, and ESPECIALLY Karens.



Learn the truth about Slavery.


Did the British help to STOP evil Slavery?

Yes.

Not by themselves, and not everywhere—but Britain did play a major role in ending slavery in the British Empire and suppressing the transatlantic slave trade.

  • Britain ended (most of) its slave trade in 1807. Parliament passed the Slave Trade Act on 25 March 1807, making it illegal for British subjects/ships to trade enslaved people across the Atlantic. (parliament.uk)

  • Britain abolished slavery across most of its empire in 1833/34. The Slavery Abolition Act 1833 received Royal Assent on 28 August 1833 and took effect 1 August 1834, freeing 800,000+ enslaved people in many British colonies (with important exceptions and transitional “apprenticeship” arrangements that delayed full freedom in practice). (Encyclopedia Britannica)

  • Britain then enforced suppression at sea. The Royal Navy’s West Africa Squadron (formed 1808) patrolled West Africa to intercept slave ships; estimates commonly cite roughly ~1,600 ships captured and ~150,000 people freed from ships. 

But a couple of big caveats matter:

  • Britain had been a major slave-trading power before abolition. The 1807 law ended a trade Britain had helped build and profit from. (slaveryandremembrance.org)

  • Abolition came with compensation to slave owners, not to the enslaved. The British government set £20 million aside to compensate owners after abolition—one reason the legislation was politically achievable. (Bank of England)

  • Slavery didn’t end globally in 1834. Slavery continued (and in some places expanded) in other empires and regions long after Britain’s laws; Britain’s efforts were significant but not “the end of slavery.”

So the most accurate framing is: Britain helped stop its slave trade (1807), abolished slavery across much of its empire (1834), and became a leading force in suppressing the Atlantic slave trade—yet it did not single-handedly “stop slavery,” and its earlier role in slavery was enormous.

What is the difference between SEO, AEO, and GEO? I explain these concepts below.



Search Engine Optimization (SEO) used to be easier.

Companies did not have to worry about all the content on their websites being perfect. They just needed to rank for their important keywords.
Today you need even better content and you still need great Link Building. Powerful backlinks still signal to Search Engines and AI tools which content is important.

SEO = Search Engine Optimization
→ The foundation. Slow to build, but compounds.
→ Clear measurability. You can track the full funnel.
→ Pitch to finance: "It's an asset, not an expense."

AEO = Answer Engine Optimization
→ Getting into AI answer boxes on Google.
→ Faster payback, but harder to attribute.
→ Pitch to finance: "Cheaper traffic on high-intent queries. Harder to measure, but it's working."


GEO = Generative Engine Optimization
→ Getting recommended by ChatGPT, Grok, Perplexity, etc.
→ Almost no measurability yet. No click data. No conversion path.
→ Pitch to finance: "Early bet. Can't measure it yet. But if AI sends people to competitors and not us, we're behind."

The question isn't which one to pick.

It's how to allocate resources across all three — based on where you are and what you can measure.

SEO is still the engine.
AEO is the next layer.
GEO is the bet you place now so you're not catching up later.


History Notes about Google and SEO:
Google transformed the SEO industry, with PageRank. This was created by Larry Page and Sergey Brin when they were at Stanford University (beginning in1996). 
Most people do not understand what PageRank is and how it is based on Citation Theory or Citation Analysis.


Sunday, September 20, 2026

The dura is the brain's armor: a membrane so tough that a surgeon normally cuts through it with a scalpel. For the first time in our clinical trials, we inserted the electrode threads of our implant straight through the dura and into the cortex, keeping the dura intact.

 


You’re Not Behind (Yet): -- How to Learn AI in 17 Minutes.

 

Learn the best ways to use AI tools.


Saturday, September 19, 2026

I am now in Bangkok, Thailand. One of the most visited cities in the world.

 


I am now in Bangkok, Thailand. One of the most visited cities in the world. And in this Bangkok travel vlog, I am arriving in Bangkok once again, a city that changed my life years ago. From the moment of arriving in Thailand, Bangkok always feels overwhelming, emotional, chaotic, and exciting at the same time for me.

In this video, you will see my emotional Bangkok arrival, first impressions of the city, the streets of Bangkok, local transportation, the atmosphere around the city, and why Bangkok became such an important place in my life. We explore the real energy of Thailand’s capital while experiencing what it is really like arriving in Bangkok today. If you are planning a trip to Thailand and wondering: Is Bangkok worth visiting? What is Bangkok really like? What does arriving in Thailand feel like? …then this Thailand vlog will give you a real experience of the city.

Tesla FSD and Robotaxi: The Long Road from “Driver Assist” to Autonomous Mobility

 


Tesla discount Referral Link

** If a new Tesla buyer clicks and uses this referral link they will save between $500 and $2,500 on a new Tesla (Model 3, Y, S, X, or Cybertruck) by using this referral link.

Specific promotions vary, with some reports indicating up to $2,500 off Model 3, $1,000 off S/X/Cybertruck, and $500 off Model Y, often paired with 3 months of Full Self-Driving. 


Tesla’s story in self-driving is a mix of real technical progress, bold marketing, and a moving finish line. On one hand, Full Self-Driving (FSD) has evolved into a system that can handle complex navigation—turns, merges, lane changes, intersections, parking maneuvers—99% of the time with startling competence. On the other hand, Tesla itself is explicit that today’s product is not autonomous: it requires active driver supervision and does not make the car self-driving in the legal or technical sense. (Tesla)

Meanwhile, “Robotaxi” is the bigger promise: cars that don’t just help a driver, but replace the driver—turning vehicles into revenue-generating autonomous fleets. That leap is not merely incremental. It’s a jump across technology, regulation, safety validation, business operations, insurance, and public trust. This article explains what Tesla’s FSD really is today, how it works at a high level, what “Robotaxi” requires that FSD doesn’t yet deliver, and why the next phase will be harder than many people expect.


1) What Tesla FSD is today (and what it is not)

Tesla currently sells Full Self-Driving (Supervised). Tesla describes it as a system that can drive you “almost anywhere” under your supervision, and Tesla emphasizes that enabled features require active driver supervision and “do not make the vehicle autonomous.” (Tesla)

Regulators largely categorize this as SAE Level 2 driver assistance, meaning the system can control steering and speed in certain conditions, but the human driver remains responsible and must continuously supervise. NHTSA’s automation-level descriptions make that distinction clear: Level 2 still expects the driver to monitor the environment and be ready to take over immediately. (NHTSA)

This matters because “self-driving” is not one thing—it’s a ladder:

  • Level 2 (driver assistance): the human supervises everything.

  • Level 4 (true robotaxi in a defined area): the system drives itself within an Operational Design Domain (ODD)—for example, specific cities, geofenced neighborhoods, certain weather limits—without expecting a human to watch the road.

  • Level 5 (anywhere, anytime): full autonomy in all conditions.

Tesla’s consumer FSD today is still, by the company’s own characterization and by regulatory framing, on the Level 2 rung. (NHTSA)


2) How Tesla’s approach differs: “vision-first” and fleet learning

Tesla’s technical strategy has been distinctive: heavy reliance on cameras and neural networks, with a philosophy that the best path to scalable autonomy is to solve driving the way humans do—primarily through vision—then scale via software and data.

Over the last several years, Tesla moved further toward “Tesla Vision.” Tesla has published support material describing the transition away from certain non-vision sensors, including the removal of ultrasonic sensors (USS) from vehicles and the shift to camera-based replacements for some features. (Tesla)
(Separately, multiple automotive outlets documented Tesla’s earlier move toward camera-only for certain models/markets by removing radar, as part of the broader “Tesla Vision” shift.) (The Drive)

The upside of this approach is scalability: millions of cars can collect real-world driving data, and Tesla can iterate quickly via over-the-air updates. The downside is that vision-only autonomy has to be extraordinarily robust in the messy corners of reality: glare, heavy rain, occlusions, odd construction layouts, faded markings, emergency scenes, human gestures, and rare-but-critical edge cases.

Interesting Posts from Elon Musk ...

 



Friday, September 18, 2026

Learn about the History of Religion

The History of Religion: From Ancient Rituals to Modern Faiths



Religion has been an integral part of human existence almost since the dawn of consciousness. It has shaped societies, inspired art and architecture, motivated philosophical inquiry, triggered conflicts, and comforted billions through life’s uncertainties. This article offers a high-level overview of how religion has evolved across time and geography.

πŸ“œ Prehistoric and Ancient Roots

In prehistoric times, humans likely practiced animism and ancestor worship, seeing spirits in nature and venerating those who came before. The earliest archaeological evidence—such as burial rituals, cave paintings, and figurines—suggests ritualistic behavior as far back as 40,000 years ago.