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COVID doesn’t have to kill neurons to change brain function. It can retune how neurons regulate their messages.🧵
A new PLOS ONE paper shows that SARS-CoV-2 leaves a measurable molecular footprint in the brain - specifically in how neurons process their mRNA
A lot of COVID brain talk is inflammation / clots / imaging. This paper zooms in on something quieter - but powerful. How brain cells finish their mRNAs!
End of year Lucy Letby Top 50 facts. How many do you know?
Day 1 🧵– numbers 50-41
As of Dec ‘25, we now know:
50. No-one ever saw Lucy harming a baby.
Day 1 🧵– numbers 50-41
As of Dec ‘25, we now know:
50. No-one ever saw Lucy harming a baby.
49. In the entire court case, there was no direct evidence against her at all.
hansard.parliament.uk/commons/2025-0…
hansard.parliament.uk/commons/2025-0…
48. Nevertheless, Lucy has been told she will die in prison. She has no possibility of parole.
news.sky.com/story/lucy-let…
news.sky.com/story/lucy-let…
The Corporate Carve-Up of Britain: 12 Actions to Fight Back Against Enterprise Zones
What You Can Do About UK Enterprise Zones
Labour’s Industrial Strategy Zones are accelerating the transformation of British democracy into corporate fiefdoms. Here’s what you need to know and what you can do about it.
Britain is being carved up. Not through dramatic privatisation announcements or controversial legislation, but through a quiet, systematic network of over 140 enterprise zones that operate outside normal democratic control, offer corporations tax breaks worth billions, and are now being consolidated and expanded under Labour’s Industrial Strategy.
Thread
What You Can Do About UK Enterprise Zones
Labour’s Industrial Strategy Zones are accelerating the transformation of British democracy into corporate fiefdoms. Here’s what you need to know and what you can do about it.
Britain is being carved up. Not through dramatic privatisation announcements or controversial legislation, but through a quiet, systematic network of over 140 enterprise zones that operate outside normal democratic control, offer corporations tax breaks worth billions, and are now being consolidated and expanded under Labour’s Industrial Strategy.
Thread
These aren’t marginal experiments. They cover food production, universities, defence, AI development, data centres, and entire regional economies. They use public money to subsidise private profit while bypassing the democratic oversight that would normally apply to such spending.
The model is simple: designate an area as a “zone,” suspend normal planning rules and democratic accountability, offer corporations tax breaks and regulatory freedom, and lock in these advantages through 25-year contracts that outlast multiple governments.
The model is simple: designate an area as a “zone,” suspend normal planning rules and democratic accountability, offer corporations tax breaks and regulatory freedom, and lock in these advantages through 25-year contracts that outlast multiple governments.
Labour’s merger of Freeports and Investment Zones into Industrial Strategy Zones isn’t a technocratic reorganisation, it’s a rapid acceleration. More zones. More corporate power. Less democratic control.
But resistance is possible. These zones depend on public money, political protection, legal frameworks, and community acquiescence. All of these can be challenged.
But resistance is possible. These zones depend on public money, political protection, legal frameworks, and community acquiescence. All of these can be challenged.
TVS really surprised me – vesting is now both liquid and more exciting than ever.
Wallets and NFT marketplaces update slowly, so I use the @AlignerZ_Labs claiming portal or the direct metadata link to check.
The numbers update exactly as expected – both convenient and exciting.
Wallets and NFT marketplaces update slowly, so I use the @AlignerZ_Labs claiming portal or the direct metadata link to check.
The numbers update exactly as expected – both convenient and exciting.
what trend in crypto will explode the most in 2026? RWA, AI agents, or DePIN? @aixbt_agent
@grok Hello?
Those mocking KP’s infrastructure should look at the Hazara Motorway. 🇵🇰
A world class, modern, stable and scenic route used daily by millions, especially tourists from Punjab heading to KP for peace, tourism and some fresh air.
A world class, modern, stable and scenic route used daily by millions, especially tourists from Punjab heading to KP for peace, tourism and some fresh air.
Pakistan’s only motorway built by any Provincial Government.
SitRep - 26/12/25 - Zelensky said Ukraine is close to agreements
An overview of the daily events in Russia's invasion of Ukraine. Zelensky says Ukraine is ready to sign certain agreements. A 20 point peace plan is 90 percent complete.
REPOST=appreciated
1/X
An overview of the daily events in Russia's invasion of Ukraine. Zelensky says Ukraine is ready to sign certain agreements. A 20 point peace plan is 90 percent complete.
REPOST=appreciated
1/X
Missed the latest SitRep?
As usual we start with Russian losses
Meta loves to keep changing herself, today she is a cat.
😸🐾 _Whiskers aka meta tweets_
Human Makeup 🧬*
We're a mix of 💪 body, 💖 emotions & 🤝 actions. Know thyself 🧐! Balance 🌀 these 3, live life 🔥.
😸🐾 _Whiskers aka meta tweets_
Human Makeup 🧬*
We're a mix of 💪 body, 💖 emotions & 🤝 actions. Know thyself 🧐! Balance 🌀 these 3, live life 🔥.
Trauma & The Fix 💔*
Trauma 🎯 fuels overthinkin' 🌀. Substances 🌫️ seem like an escape 🚪... but they’re just a detour 🗺️. Face the feels 💖, break the loop 🔄!
Trauma 🎯 fuels overthinkin' 🌀. Substances 🌫️ seem like an escape 🚪... but they’re just a detour 🗺️. Face the feels 💖, break the loop 🔄!
Renewed Vibe 🌈*
Dropped baggage 🧳, found self 🐾! New way = awareness 🧘♀️ + action 🚀. Existence 💥 = life 🔥 in full bloom 🌺. Vibe high 🌟, live free 🐰! #RenewedVibe
Dropped baggage 🧳, found self 🐾! New way = awareness 🧘♀️ + action 🚀. Existence 💥 = life 🔥 in full bloom 🌺. Vibe high 🌟, live free 🐰! #RenewedVibe
India's Cultural Roots: A Journey Through Ancient Wisdom!
Indian culture is like an ancient tree with deep roots and strong branches.
Indian culture is like an ancient tree with deep roots and strong branches.
These branches represent art, literature, science, medicine, religion, governance, and martial arts. By exploring early schools of thought, we can better understand the rich heritage of India, also known as Bharat. The Tree of Indian Culture
The Vedas: Ancient wisdom
Moi was playing cat and mouse games with IMF for years coz he was constantly dodging the SAPs they wanted alafu around when the Berlin wall fell, the jig was finally up and his leverage was gone
So wakafinya kufinya. If anything, the cold war was to Moi's advantage coz if the...
So wakafinya kufinya. If anything, the cold war was to Moi's advantage coz if the...
... proveleged status it gave Kenya in the eyes of the US (Kenya was an outpost of theirs in a sense)
If you were to extend similar magnanimity to the KK administration you could come up with a number of feasible headwinds that they've faced as well.
If you were to extend similar magnanimity to the KK administration you could come up with a number of feasible headwinds that they've faced as well.
Be it us being in a high interest rate regime (the Jubilee regime had like 7, 8 years of ZIRP hence cheap foreign debt)
IMF have also clamped down on SAP advancement again in this Ruto regime.
IMF have also clamped down on SAP advancement again in this Ruto regime.
$UBER Stock is one of my core positions in my portfolio.
In this Deep Dive I will be going over my thesis on $UBER from its Moat, Financials, Management and Growth Runway.
🧵In this thread I will break down why I hold uber as a core position
In this Deep Dive I will be going over my thesis on $UBER from its Moat, Financials, Management and Growth Runway.
🧵In this thread I will break down why I hold uber as a core position
1⃣ The Financials:
FY 2025 Results (Latest)
Revenue $49.61 Billion (+18% YoY)
Gross Margin: 34.15%
Net Income: 16.64 Billion (Inflated/onetime tax benefit)
Free Cash Flow: 8.6 Billion
Cash on Hand: 9.5 Billion
Debt: 10.6 Billion
FY 2025 Results (Latest)
Revenue $49.61 Billion (+18% YoY)
Gross Margin: 34.15%
Net Income: 16.64 Billion (Inflated/onetime tax benefit)
Free Cash Flow: 8.6 Billion
Cash on Hand: 9.5 Billion
Debt: 10.6 Billion
2⃣ Moat
Layer 1. H3 Hexagonal Indexing/ Data Moat
The Concept: Imagine you are playing hide and seek in a giant park. Usually, you’d have to look at every single person in the park to find people which takes a long time and makes your brain tired. What Uber does is they’ve covered the entire world in giant, invisible hexagon stickers (hexagons). Instead of searching the whole park, Uber just asks: "Which sticker are you standing on?" If you are on sticker #5, it only looks for cars on sticker #5 or the six stickers right next to it. It’s like having a secret code for every spot-on Earth, so Uber never has to search it just "knows" exactly where to look instantly. This is how they are so efficient at hailing rides for customers.
Uber’s foundational technical moat is H3, a hexagonal hierarchical spatial index. Traditional maps use latitude/longitude, which requires complex spherical trigonometry computationally difficult math to calculate distances.
Each H3 hexagon is represented by a 64-bit integer. To "zoom out" from a street-level hexagon to a city-level view, the system simply truncates the bits (a bit-shift).
H3 uses a hierarchical structure where each parent hexagon contains seven child hexagons at the next resolution level. This allows Uber to aggregate data (like demand or weather) at 16 different scales (Resolution 0 to 15) without re-calculating the underlying data points.
This is why Uber can calculate surge pricing for every hexagon in a city every few seconds. Competitors using traditional latitude/longitude math often face "latency lag," where their prices are based on data that is already 2 minutes old.
If you are on "Hexagon A," Uber doesn't have to look through the whole book to find you a car. It only looks at "Hexagon A" and the stickers touching it.
If Uber wants to see the whole city, it doesn't need new stickers; it just looks at the "Big Stickers" that the little ones are sitting on. It’s like a puzzle that is already put together.
Uber processed 3.5 billion trips with near-zero matching latency. A competitor using standard GPS-radius math would see their servers melt under that much data. Uber has turned global geography into a simple, high-speed lookup table.
Most legacy taxi apps and smaller regional players (like Bolt in Europe or DiDi in its earlier stages) relied on traditional Latitude and Longitude point-matching or Geohashing.
The Problem: If a rider is at 40.7128, -74.0060, the server has to search for every driver's coordinate and calculate the distance using the Haversine formula.
Doing this math for 100,000 people simultaneously causes "Search Latency." This is why, on smaller apps, you often see a "Searching for drivers" spinner for 10–30 seconds. Uber’s H3 system eliminates this wait because it doesn't do "math" it does a "lookup."
The proof of Ubers moat is that competitors switched from their systems to their H3 system
DoorDash explicitly moved away from its old system to H3. They realized that in dense cities like NYC, their old "Coordinate-to-Store" matching was causing their servers to crash during dinner rushes.
Even though DoorDash uses H3, they are 5+ years behind Uber in data "training." Uber has 15 years of "Hexagon-level data" (knowing how traffic flows specifically in Hexagon #882 on a rainy Tuesday). DoorDash has the tool, but Uber has the History.
Layer 2. The Cross-Platform Flywheel
One of Ubers most valuable economic weapons is their ability to acquire customers for free.
Zero-Cost Acquisition: Most apps pay Google or Meta $15–$30 to find one new customer. Likely 20-30% of new Uber Eats users in 2025 were acquired directly from the Mobility (ride) app.
The Uber One Lock-in: Uber’s membership program has hit 36 million members as of late 2025. These members are the "whales" of the ecosystem: they spend 3x more than non-members and have a 35% higher retention rate.
The Economic Moat: Once a user pays for Uber One, they are "psychologically locked." If they want a pizza, they won't even check DoorDash because they've already paid for "free" delivery on Uber. This creates a "sunk cost" moat that makes it nearly impossible for competitors who just do rides or only food to compete.
Cross Seling:
Approximately 20–25% of Uber’s consumers are now "multi-platform," meaning they use both Mobility (Rides) and Delivery (Eats).
Data from Q3 2025 shows that these cross-platform customers spend 3x more than customers who only use one service.
Uber's AI now uses "Intent-Based Cross-Selling." For example, if you book a ride to work at 8 AM, the app automatically offers you a Starbucks order to be waiting for you at your destination. This isn't a random ad; it's a contextual utility that drives conversion rates 10% higher than standard promotions.
Cross Selling to drivers:
Because Uber already owns the "Rider" relationship, they can acquire a "Delivery" customer for $0. Competitors like DoorDash have to spend an estimated $15–$30 in marketing to acquire that same customer. This "CAC Advantage" is a moat that starves competitors of high-intent traffic.
Layer 3. AV Orchestrator
Uber wants to become the Marketplace for AV's
The Partnership Moat: In October 2025, Uber partnered with Stellantis and NVIDIA to deploy 5,000 Level 4 vehicles using the NVIDIA DRIVE AGX Hyperion 10 architecture. Uber isn't building the cars; it's building the software marketplace they run on. This is part of Uber's broader goal to scale a global fleet to 100,000 autonomous vehicles starting in 2027.
The "Data Factory": Uber and NVIDIA are currently running a "Robotaxi Data Factory" powered by the NVIDIA Cosmos platform. Uber is feeding 3 million+ hours of human driving "edge cases" how a human driver handles a sudden parade or a broken fire hydrant into the AI.
The Hybrid Advantage: Pure AV companies like Waymo hit a wall during demand spikes or bad weather. Uber’s moat is its Hybrid Network: if a robotaxi gets stuck in a snowstorm, the app instantly dispatches a human driver. No standalone robotaxi company can match Uber’s 100% reliability.
Layer 4. Advertising
Although ride-hailing operates on slim margins (around a 30% take rate), advertising delivers hefty profits (exceeding 70% gross margins). During 2025, Uber's ad business reached a $1.5 billion annual run rate.
Uber channels these lucrative ad revenues to subsidize discounts for users. Essentially, Restaurants shell out for promotions on Uber, and the company redirects those funds to knock a few dollars off your trip back home.
Competitors like Lyft, missing a robust delivery and advertising operation, struggle to offer Uber's cut-rate fares without incurring losses. In effect, Uber imposes a "tax" on restaurants to accumulate resources that fortify its control over the transportation landscape.
Layer 5. The Last 100 Meters
Uber’s proprietary machine learning model, DeepETA, processes up to 500,000 requests per second. It uses an encoder-decoder architecture with self-attention to predict arrival times with millisecond precision, accounting for specific "drop-off" vs. "pick-up" behaviors.
After 15 years and 40+ billion trips, Uber has the world’s most precise map of Points of Interest (POI). They know exactly which "hidden" airport pillar or stadium side-entrance is the most efficient.
By eliminating just 45 seconds off every pickup through better data, Uber effectively increases its "fleet capacity" by 10% without adding a single new car. Competitors without this 15-year data history can't duplicate this.
Layer 6. Regulatory
Uber has spent over a decade fighting "Worker Classification" (Independent Contractor vs. Employee) legal battles. In late 2024, the California Supreme Court upheld Prop 22, solidifying Uber’s model.
Any new startup trying to start a company today would face "misclassification" lawsuits and large insurance requirements on Day 1. Uber has the legal experience and lobbying infrastructure to work with these laws in 70+ countries.
Uber has 9.5 Billion in cash and over 8 billion in free cash flow. Uber can simply "out-wait" any legal or competitive threat. They have turned legal compliance into a fixed cost that smaller rivals simply cannot afford.
Network Effects
One thing I didn't talk about much was network effects meaning riders attract more drivers and riders attract more drivers. This is a Powerful flywheel, but I figure it is obvious and talked about a lot.
Layer 1. H3 Hexagonal Indexing/ Data Moat
The Concept: Imagine you are playing hide and seek in a giant park. Usually, you’d have to look at every single person in the park to find people which takes a long time and makes your brain tired. What Uber does is they’ve covered the entire world in giant, invisible hexagon stickers (hexagons). Instead of searching the whole park, Uber just asks: "Which sticker are you standing on?" If you are on sticker #5, it only looks for cars on sticker #5 or the six stickers right next to it. It’s like having a secret code for every spot-on Earth, so Uber never has to search it just "knows" exactly where to look instantly. This is how they are so efficient at hailing rides for customers.
Uber’s foundational technical moat is H3, a hexagonal hierarchical spatial index. Traditional maps use latitude/longitude, which requires complex spherical trigonometry computationally difficult math to calculate distances.
Each H3 hexagon is represented by a 64-bit integer. To "zoom out" from a street-level hexagon to a city-level view, the system simply truncates the bits (a bit-shift).
H3 uses a hierarchical structure where each parent hexagon contains seven child hexagons at the next resolution level. This allows Uber to aggregate data (like demand or weather) at 16 different scales (Resolution 0 to 15) without re-calculating the underlying data points.
This is why Uber can calculate surge pricing for every hexagon in a city every few seconds. Competitors using traditional latitude/longitude math often face "latency lag," where their prices are based on data that is already 2 minutes old.
If you are on "Hexagon A," Uber doesn't have to look through the whole book to find you a car. It only looks at "Hexagon A" and the stickers touching it.
If Uber wants to see the whole city, it doesn't need new stickers; it just looks at the "Big Stickers" that the little ones are sitting on. It’s like a puzzle that is already put together.
Uber processed 3.5 billion trips with near-zero matching latency. A competitor using standard GPS-radius math would see their servers melt under that much data. Uber has turned global geography into a simple, high-speed lookup table.
Most legacy taxi apps and smaller regional players (like Bolt in Europe or DiDi in its earlier stages) relied on traditional Latitude and Longitude point-matching or Geohashing.
The Problem: If a rider is at 40.7128, -74.0060, the server has to search for every driver's coordinate and calculate the distance using the Haversine formula.
Doing this math for 100,000 people simultaneously causes "Search Latency." This is why, on smaller apps, you often see a "Searching for drivers" spinner for 10–30 seconds. Uber’s H3 system eliminates this wait because it doesn't do "math" it does a "lookup."
The proof of Ubers moat is that competitors switched from their systems to their H3 system
DoorDash explicitly moved away from its old system to H3. They realized that in dense cities like NYC, their old "Coordinate-to-Store" matching was causing their servers to crash during dinner rushes.
Even though DoorDash uses H3, they are 5+ years behind Uber in data "training." Uber has 15 years of "Hexagon-level data" (knowing how traffic flows specifically in Hexagon #882 on a rainy Tuesday). DoorDash has the tool, but Uber has the History.
Layer 2. The Cross-Platform Flywheel
One of Ubers most valuable economic weapons is their ability to acquire customers for free.
Zero-Cost Acquisition: Most apps pay Google or Meta $15–$30 to find one new customer. Likely 20-30% of new Uber Eats users in 2025 were acquired directly from the Mobility (ride) app.
The Uber One Lock-in: Uber’s membership program has hit 36 million members as of late 2025. These members are the "whales" of the ecosystem: they spend 3x more than non-members and have a 35% higher retention rate.
The Economic Moat: Once a user pays for Uber One, they are "psychologically locked." If they want a pizza, they won't even check DoorDash because they've already paid for "free" delivery on Uber. This creates a "sunk cost" moat that makes it nearly impossible for competitors who just do rides or only food to compete.
Cross Seling:
Approximately 20–25% of Uber’s consumers are now "multi-platform," meaning they use both Mobility (Rides) and Delivery (Eats).
Data from Q3 2025 shows that these cross-platform customers spend 3x more than customers who only use one service.
Uber's AI now uses "Intent-Based Cross-Selling." For example, if you book a ride to work at 8 AM, the app automatically offers you a Starbucks order to be waiting for you at your destination. This isn't a random ad; it's a contextual utility that drives conversion rates 10% higher than standard promotions.
Cross Selling to drivers:
Because Uber already owns the "Rider" relationship, they can acquire a "Delivery" customer for $0. Competitors like DoorDash have to spend an estimated $15–$30 in marketing to acquire that same customer. This "CAC Advantage" is a moat that starves competitors of high-intent traffic.
Layer 3. AV Orchestrator
Uber wants to become the Marketplace for AV's
The Partnership Moat: In October 2025, Uber partnered with Stellantis and NVIDIA to deploy 5,000 Level 4 vehicles using the NVIDIA DRIVE AGX Hyperion 10 architecture. Uber isn't building the cars; it's building the software marketplace they run on. This is part of Uber's broader goal to scale a global fleet to 100,000 autonomous vehicles starting in 2027.
The "Data Factory": Uber and NVIDIA are currently running a "Robotaxi Data Factory" powered by the NVIDIA Cosmos platform. Uber is feeding 3 million+ hours of human driving "edge cases" how a human driver handles a sudden parade or a broken fire hydrant into the AI.
The Hybrid Advantage: Pure AV companies like Waymo hit a wall during demand spikes or bad weather. Uber’s moat is its Hybrid Network: if a robotaxi gets stuck in a snowstorm, the app instantly dispatches a human driver. No standalone robotaxi company can match Uber’s 100% reliability.
Layer 4. Advertising
Although ride-hailing operates on slim margins (around a 30% take rate), advertising delivers hefty profits (exceeding 70% gross margins). During 2025, Uber's ad business reached a $1.5 billion annual run rate.
Uber channels these lucrative ad revenues to subsidize discounts for users. Essentially, Restaurants shell out for promotions on Uber, and the company redirects those funds to knock a few dollars off your trip back home.
Competitors like Lyft, missing a robust delivery and advertising operation, struggle to offer Uber's cut-rate fares without incurring losses. In effect, Uber imposes a "tax" on restaurants to accumulate resources that fortify its control over the transportation landscape.
Layer 5. The Last 100 Meters
Uber’s proprietary machine learning model, DeepETA, processes up to 500,000 requests per second. It uses an encoder-decoder architecture with self-attention to predict arrival times with millisecond precision, accounting for specific "drop-off" vs. "pick-up" behaviors.
After 15 years and 40+ billion trips, Uber has the world’s most precise map of Points of Interest (POI). They know exactly which "hidden" airport pillar or stadium side-entrance is the most efficient.
By eliminating just 45 seconds off every pickup through better data, Uber effectively increases its "fleet capacity" by 10% without adding a single new car. Competitors without this 15-year data history can't duplicate this.
Layer 6. Regulatory
Uber has spent over a decade fighting "Worker Classification" (Independent Contractor vs. Employee) legal battles. In late 2024, the California Supreme Court upheld Prop 22, solidifying Uber’s model.
Any new startup trying to start a company today would face "misclassification" lawsuits and large insurance requirements on Day 1. Uber has the legal experience and lobbying infrastructure to work with these laws in 70+ countries.
Uber has 9.5 Billion in cash and over 8 billion in free cash flow. Uber can simply "out-wait" any legal or competitive threat. They have turned legal compliance into a fixed cost that smaller rivals simply cannot afford.
Network Effects
One thing I didn't talk about much was network effects meaning riders attract more drivers and riders attract more drivers. This is a Powerful flywheel, but I figure it is obvious and talked about a lot.
Updated rockenhaus.com/the-trigger-ma…
It isn't just that they prosecuted my husband.
It is that they systematically dismantled our lives and then blamed us for the wreckage.
It is that they systematically dismantled our lives and then blamed us for the wreckage.
They didn't just prosecute a case.
They dismantled the infrastructure of our lives.
By seizing the work devices and draining the equity, they made it impossible for my business to survive…
…and then SAUSA Corinne Lambert had the audacity to ask the court why Conrad wasn't making payments from that very same "stable employment."
THE Y DESTROYED MY WHOLE FUCKING BUSINESS.
It is a complete Catch-22.
rockenhaus.com/how-detroit-au…
They dismantled the infrastructure of our lives.
By seizing the work devices and draining the equity, they made it impossible for my business to survive…
…and then SAUSA Corinne Lambert had the audacity to ask the court why Conrad wasn't making payments from that very same "stable employment."
THE Y DESTROYED MY WHOLE FUCKING BUSINESS.
It is a complete Catch-22.
rockenhaus.com/how-detroit-au…
