Recent well liked threads
We don't know exactly how Handala got into Kash Patel's accounts. But from responding to MOIS-linked intrusions: it's rarely a zero-day.
It's credential dumps. Stealer logs. Data sitting in the open for years.
Let me show you what we found. 🧵
It's credential dumps. Stealer logs. Data sitting in the open for years.
Let me show you what we found. 🧵
Searching "Kash Patel" in breach databases gets you nowhere. Lots of noise, mostly anti-us BS.
But his legal name isn't Kash Patel.
Wikipedia: Kashyap Pramod Patel
That's the search that matters.
But his legal name isn't Kash Patel.
Wikipedia: Kashyap Pramod Patel
That's the search that matters.
Run Kashyap Patel across breach databases. First hit: @MGMGrand breach. Name, DOB, email all line up:
🚨Breaking: Princeton researchers just ran the numbers on where AI is actually heading.
The results should make every founder, investor, and policymaker stop what they are doing.
Training OpenAI's next-gen model consumes an estimated 11 billion kWh of electricity.
That is enough to power every home in New York City for a full year.
More than the annual output of a nuclear reactor.
For one model. One training run.
And that is before a single user asks a single question.
Every time someone uses a reasoning model like o1 or DeepSeek-R1, it costs 33 Wh of energy per query. A standard GPT-4 query costs 0.42 Wh.
That is a 79x energy multiplier. Per query. At billions of queries per day.
Now here is what nobody is saying out loud.
The industry's answer to this is Stargate. A $500 billion compute campus. 5 gigawatts of power. Enough to run 5 million homes. Owned by the same four companies that already control the technology.
They are building a new kind of utility. Except you do not elect its board.
Meanwhile the models consuming all that energy still cannot reliably reason outside of math and code. Everywhere else they pattern-match. They hallucinate. They confabulate confidence.
Princeton's argument is that this is not a scaling problem. It is a structural one. More parameters have not fixed it. More data has not fixed it. The architecture itself is the ceiling.
Their alternative: stop chasing one god-model and build thousands of small specialists instead. Each one trained on curated domain data. Each one grounded in verified knowledge. Each one small enough to run on your phone.
The energy comparison is not close.
A cloud query to a reasoning model uses 33 Wh and 20 milliliters of water.
The same query on a local specialist model uses 0.001 Wh.
Zero water.
That is 10,000 times more efficient.
AlphaFold did not beat biologists by knowing everything. It won by going impossibly deep in one domain. A 14 billion parameter model trained on medical knowledge graphs just outperformed GPT-5.2 on complex clinical reasoning.
Depth beats breadth when the domain is defined.
The question nobody building these systems wants to answer:
If the only path to general AI requires the energy output of a small nation, controlled by a handful of companies, running on hardware most of the world cannot access —
is that actually intelligence?
Or is it just the most expensive pattern matcher ever built?
The results should make every founder, investor, and policymaker stop what they are doing.
Training OpenAI's next-gen model consumes an estimated 11 billion kWh of electricity.
That is enough to power every home in New York City for a full year.
More than the annual output of a nuclear reactor.
For one model. One training run.
And that is before a single user asks a single question.
Every time someone uses a reasoning model like o1 or DeepSeek-R1, it costs 33 Wh of energy per query. A standard GPT-4 query costs 0.42 Wh.
That is a 79x energy multiplier. Per query. At billions of queries per day.
Now here is what nobody is saying out loud.
The industry's answer to this is Stargate. A $500 billion compute campus. 5 gigawatts of power. Enough to run 5 million homes. Owned by the same four companies that already control the technology.
They are building a new kind of utility. Except you do not elect its board.
Meanwhile the models consuming all that energy still cannot reliably reason outside of math and code. Everywhere else they pattern-match. They hallucinate. They confabulate confidence.
Princeton's argument is that this is not a scaling problem. It is a structural one. More parameters have not fixed it. More data has not fixed it. The architecture itself is the ceiling.
Their alternative: stop chasing one god-model and build thousands of small specialists instead. Each one trained on curated domain data. Each one grounded in verified knowledge. Each one small enough to run on your phone.
The energy comparison is not close.
A cloud query to a reasoning model uses 33 Wh and 20 milliliters of water.
The same query on a local specialist model uses 0.001 Wh.
Zero water.
That is 10,000 times more efficient.
AlphaFold did not beat biologists by knowing everything. It won by going impossibly deep in one domain. A 14 billion parameter model trained on medical knowledge graphs just outperformed GPT-5.2 on complex clinical reasoning.
Depth beats breadth when the domain is defined.
The question nobody building these systems wants to answer:
If the only path to general AI requires the energy output of a small nation, controlled by a handful of companies, running on hardware most of the world cannot access —
is that actually intelligence?
Or is it just the most expensive pattern matcher ever built?
Paper: arxiv.org/abs/2603.14147
A brilliant statistician who spent 50 years studying why massive engineering projects fail realized one terrifying truth:
Individual incompetence is almost never the actual problem.
His name is W. Edwards Deming, the man who famously rebuilt Japan's post-war manufacturing empire from scratch. He argued that we obsess over individual performance and completely ignore the environment.
Here are 4 operational frameworks he used to build elite, failure-proof organizations:
Individual incompetence is almost never the actual problem.
His name is W. Edwards Deming, the man who famously rebuilt Japan's post-war manufacturing empire from scratch. He argued that we obsess over individual performance and completely ignore the environment.
Here are 4 operational frameworks he used to build elite, failure-proof organizations:
1. The Bad System Fallacy
Situation: You have a highly intelligent engineer who constantly misses deadlines and ships buggy code. You immediately assume they are just lazy or lack the necessary skills to compete at this level. You start building a case to fire them.
System: Stop blaming the individual. Assume that 94% of all failures belong to the system, not the person. Fix the broken deployment pipelines, the chaotic sprint planning, and the impossible communication silos first.
Why it works: You stop firing good talent over terrible infrastructure. A bad system will beat a great person every single time. Re-architect the environment and watch the individual excel.
Situation: You have a highly intelligent engineer who constantly misses deadlines and ships buggy code. You immediately assume they are just lazy or lack the necessary skills to compete at this level. You start building a case to fire them.
System: Stop blaming the individual. Assume that 94% of all failures belong to the system, not the person. Fix the broken deployment pipelines, the chaotic sprint planning, and the impossible communication silos first.
Why it works: You stop firing good talent over terrible infrastructure. A bad system will beat a great person every single time. Re-architect the environment and watch the individual excel.
2. The Quota Illusion
Situation: You manage your engineering team by setting strict numerical KPIs, tracking tickets closed, and punishing anyone who falls short at the end of the quarter.
System: Eliminate arbitrary numerical quotas entirely. Focus purely on improving the underlying process that generates the numbers. Optimize the workflow, not the raw output.
Why it works: If you force an engineer to hit a metric at all costs, they will simply game the system. They will write bloated code and destroy your technical debt in the background just to meet the quota. You get the numbers, but you lose the product.
Situation: You manage your engineering team by setting strict numerical KPIs, tracking tickets closed, and punishing anyone who falls short at the end of the quarter.
System: Eliminate arbitrary numerical quotas entirely. Focus purely on improving the underlying process that generates the numbers. Optimize the workflow, not the raw output.
Why it works: If you force an engineer to hit a metric at all costs, they will simply game the system. They will write bloated code and destroy your technical debt in the background just to meet the quota. You get the numbers, but you lose the product.
I wanted to share a bunch of my favorite hidden and under-utilized features in Claude Code. I'll focus on the ones I use the most.
Here goes.
Here goes.
1/ Did you know Claude Code has a mobile app?
Personally, I write a lot of my code from the iOS app. It's a convenient way to make changes without opening a laptop.
Download the Claude app for iOS/Android > Code tab on the left.
Personally, I write a lot of my code from the iOS app. It's a convenient way to make changes without opening a laptop.
Download the Claude app for iOS/Android > Code tab on the left.
2/ Move sessions back and forth between mobile/web/desktop and terminal
Run "claude --teleport" or /teleport to continue a cloud session on your machine.
Or run /remote-control to control a locally running session from your phone/web. Personally, I have "Enable Remote Control for all sessions" set in my /config.
code.claude.com/docs/en/remote…
Run "claude --teleport" or /teleport to continue a cloud session on your machine.
Or run /remote-control to control a locally running session from your phone/web. Personally, I have "Enable Remote Control for all sessions" set in my /config.
code.claude.com/docs/en/remote…
🧵 THREAD: How mass immigration came to Japan's shores
𝕏 saw a lovely cultural exchange between Americans and Japanese this past week, which got me wondering how and why Muslims came to Japan... so I spent the weekend looking into it.
Japan went from officially having "no immigration policy" to a formal system with a cap of 820,000 foreign workers. Japan's Muslim population has gone from ~110,000 (2010) to ~420,000 (end of 2024). There are now 149 mosques.
The bill that created this was passed at 4:00 AM in December 2018. The opposition called it a "carte blanche." Deliberations were compressed. It passed anyway.
What I found:
🔹 Three consecutive foreign ministers trained at American universities.
🔹 A foundation run by a Trilateral Commission member and a former US intelligence chief.
🔹 A $69 million fellowship network seeding 69 universities in 44 countries.
🔹 A UN framework signed the same month as the 4 AM vote.
🔹 Sixteen bilateral labor agreements managed through a single coordinating body.
🔹 A Japan-specific immigration program drafted by a Japanese national while he was interning inside the US Senate.
In July 2025, a party that didn't exist before COVID won 14 seats and finished third in the popular vote. By February 2026, the LDP won its biggest parliamentary majority since 1955, running on tighter immigration.
Unfortunately, Americans and Japanese have more in common beyond love of BBQ. They have the mass migration problem in common. Receipts below. 👇
As always, patience as I pull together the thread.
𝕏 saw a lovely cultural exchange between Americans and Japanese this past week, which got me wondering how and why Muslims came to Japan... so I spent the weekend looking into it.
Japan went from officially having "no immigration policy" to a formal system with a cap of 820,000 foreign workers. Japan's Muslim population has gone from ~110,000 (2010) to ~420,000 (end of 2024). There are now 149 mosques.
The bill that created this was passed at 4:00 AM in December 2018. The opposition called it a "carte blanche." Deliberations were compressed. It passed anyway.
What I found:
🔹 Three consecutive foreign ministers trained at American universities.
🔹 A foundation run by a Trilateral Commission member and a former US intelligence chief.
🔹 A $69 million fellowship network seeding 69 universities in 44 countries.
🔹 A UN framework signed the same month as the 4 AM vote.
🔹 Sixteen bilateral labor agreements managed through a single coordinating body.
🔹 A Japan-specific immigration program drafted by a Japanese national while he was interning inside the US Senate.
In July 2025, a party that didn't exist before COVID won 14 seats and finished third in the popular vote. By February 2026, the LDP won its biggest parliamentary majority since 1955, running on tighter immigration.
Unfortunately, Americans and Japanese have more in common beyond love of BBQ. They have the mass migration problem in common. Receipts below. 👇
As always, patience as I pull together the thread.
Japan's Muslim population:
2010: ~110,000
2024: ~420,000
Nearly 4x in 14 years.
Mosques: 4 in 1980. 149 as of 2024.
This is not organic. Someone built a pipeline.
2010: ~110,000
2024: ~420,000
Nearly 4x in 14 years.
Mosques: 4 in 1980. 149 as of 2024.
This is not organic. Someone built a pipeline.
The Specified Skilled Worker program. SSW.
Original cap (2019): 345,000 workers.
New cap (March 2024): 820,000 workers.
The law that created SSW passed at **4:00 AM** on December 8, 2018.
The opposition called it a "carte blanche." Deliberations were rushed.
Original cap (2019): 345,000 workers.
New cap (March 2024): 820,000 workers.
The law that created SSW passed at **4:00 AM** on December 8, 2018.
The opposition called it a "carte blanche." Deliberations were rushed.
Mi esposa empezó a dejar una luz encendida cuando se acostaba antes que yo.
No pregunté por qué durante dos años.
La noche en que finalmente lo hice:
No pregunté por qué durante dos años.
La noche en que finalmente lo hice:
Ella era la primera en acostarse casi todas las noches.
Me quedaba despierto, trabajando, leyendo, o lo que fuera que me dijera a mí mismo que era.
En todas las ocasiones, sin excepción, se dejaba una luz encendida.
La pequeña que está en el pasillo, apenas visible. Pasé por delante durante dos años y nunca se me ocurrió preguntar.
Me quedaba despierto, trabajando, leyendo, o lo que fuera que me dijera a mí mismo que era.
En todas las ocasiones, sin excepción, se dejaba una luz encendida.
La pequeña que está en el pasillo, apenas visible. Pasé por delante durante dos años y nunca se me ocurrió preguntar.
Supuse que era práctico. Quizás se le olvidó. Quizás simplemente lo prefería así.
La noche en que finalmente se lo pregunté, me miró por un momento como si la pregunta la hubiera sorprendido.
Entonces dijo simplemente: "Para que no llegues a casa y la encuentres a oscuras".
La noche en que finalmente se lo pregunté, me miró por un momento como si la pregunta la hubiera sorprendido.
Entonces dijo simplemente: "Para que no llegues a casa y la encuentres a oscuras".
I want to start by saying I don’t have access to official documents or meetings, so I’m piecing together their motivations based on what I observe and logical reasoning. Keep that in mind as you read on.
This year, Russia's goals are threefold. First, to capture the eastern bank of the Dnipro River. Second, to capture Kostyantynivka. Third, to capture Slovyansk.
Each of these goals has necessary steps. To capture the bank in Zaporizhzhia, you must first capture Orikhiv. To capture Slovyansk, you must first capture Lyman. You could argue that to capture Kostyantynivka, you must first capture Chasiv Yar.
These goals are very ambitious and, honestly, impossible to fully achieve. So let’s think of them as aspirations and focus instead on how close Russia might get to reaching them.
This year, Russia's goals are threefold. First, to capture the eastern bank of the Dnipro River. Second, to capture Kostyantynivka. Third, to capture Slovyansk.
Each of these goals has necessary steps. To capture the bank in Zaporizhzhia, you must first capture Orikhiv. To capture Slovyansk, you must first capture Lyman. You could argue that to capture Kostyantynivka, you must first capture Chasiv Yar.
These goals are very ambitious and, honestly, impossible to fully achieve. So let’s think of them as aspirations and focus instead on how close Russia might get to reaching them.
Ukraine launched several counterattacks in the Verbove and Ternove areas of Zaporizhzhia. They were quite successful, pushing Russia out of several settlements and possibly capturing some. This also threatened Russia’s main supply route to the west. Because of this, Russia has to do two things: divert resources from their main attack to stabilize the area and try to recapture this ground to keep pushing west toward Orikhiv. Meanwhile, Ukraine gains time to strengthen defenses, plan their strategy, and prepare for more counterattacks, something Russia worries about given their timeline.
This has already delayed Russia’s offensive by months, and it will take many more weeks for them to regain their previous position.
This has already delayed Russia’s offensive by months, and it will take many more weeks for them to regain their previous position.
Recently, Russia tried an armored assault on Orikhiv, which failed badly (A). They also tried to advance through Mala Tokmachka (B) before, but that failed too. A direct attack on Orikhiv is unlikely to succeed without heavy losses, so Russia wants to avoid it unless they have no choice. Still, based on past experience, they might end up having to take the town this way.
Remember when Trump curiously suggested putting light inside the body to treat COVID?
The media mocked him with bleach jokes.
But Trump wasn’t crazy. It “actually works.”
And it’s a story that blew even Joe Rogan away.
Back in the 1940s, UV blood irradiation was used to treat sepsis, pneumonia, and even polio with remarkable success.
But the American Medical Association rigged a study to kill it, ensuring this life-saving therapy vanished.
Trump was on to something. And that’s exactly why he was smeared. We weren’t supposed to know this treatment option existed.
It turns out, many of the diseases we are told are “incurable” aren’t incurable at all.
🧵 THREAD 👇
The media mocked him with bleach jokes.
But Trump wasn’t crazy. It “actually works.”
And it’s a story that blew even Joe Rogan away.
Back in the 1940s, UV blood irradiation was used to treat sepsis, pneumonia, and even polio with remarkable success.
But the American Medical Association rigged a study to kill it, ensuring this life-saving therapy vanished.
Trump was on to something. And that’s exactly why he was smeared. We weren’t supposed to know this treatment option existed.
It turns out, many of the diseases we are told are “incurable” aren’t incurable at all.
🧵 THREAD 👇
And it’s not just what people say that gets twisted and smeared. Sunlight itself—yes, the light from the sun—has been smeared as dangerous for decades.
But the dermatology-led UV fear campaign of the 1980s ignored something crucial: the deadliest skin cancer is most common in people who avoid the sun.
Let that sink in.
A 20-year study of 29,518 Swedish women found sunlight avoiders were a staggering 130% more likely to die.
The truth is simple: sunlight protects us. Modern life blocks our access to it.
But the dermatology-led UV fear campaign of the 1980s ignored something crucial: the deadliest skin cancer is most common in people who avoid the sun.
Let that sink in.
A 20-year study of 29,518 Swedish women found sunlight avoiders were a staggering 130% more likely to die.
The truth is simple: sunlight protects us. Modern life blocks our access to it.
When you take a moment to look at it critically, the sunlight narrative completely falls apart.
Artificial light disrupts circadian rhythms.
UV-blocking glasses prevent key wavelengths from reaching the brain.
Indoor living strips away the full spectrum your body expects—and needs.
When sunlight drops, infections rise, cancers climb, and mental health falters.
The most dramatic healing responses ever documented in medicine often came from one source: the right kind of ultraviolet light.
Artificial light disrupts circadian rhythms.
UV-blocking glasses prevent key wavelengths from reaching the brain.
Indoor living strips away the full spectrum your body expects—and needs.
When sunlight drops, infections rise, cancers climb, and mental health falters.
The most dramatic healing responses ever documented in medicine often came from one source: the right kind of ultraviolet light.
If I woke up at 50 years old with high blood pressure, prediabetes and 30 lbs to lose, here's everything I'd do to reverse it by summer:
1. Watch a show or game on the incline walking pad every night.
1. Watch a show or game on the incline walking pad every night.
2.. Eat 40-50g of protein at every single meal. No protein, no meal.
3. Walk 20 minutes after dinner. Non-negotiable.
4. Weigh yourself everyday and take the 7 day average. What gets measured, gets improved.
5. Use real salt, not table salt. It’s high in trace minerals that affect blood pressure and blood sugar control
3. Walk 20 minutes after dinner. Non-negotiable.
4. Weigh yourself everyday and take the 7 day average. What gets measured, gets improved.
5. Use real salt, not table salt. It’s high in trace minerals that affect blood pressure and blood sugar control
6. Include potassium rich foods for blood pressure like citrus fruits, coconut water and potatoes.
7. Eat the majority of the day’s carbs around workouts. No activity = no carbs.
8. Cut liquid calories first. Juice, soda, sweetened coffee. Booze Gone.
9. Stop skipping breakfast and then wondering why you overeat at night.
7. Eat the majority of the day’s carbs around workouts. No activity = no carbs.
8. Cut liquid calories first. Juice, soda, sweetened coffee. Booze Gone.
9. Stop skipping breakfast and then wondering why you overeat at night.
If I wanted to quit my job & replace my salary by Summer, here's exactly what I'd do:
1. Set up a simple website with AI before the week is over. Not next month. Not after you "research more." This week.
1. Set up a simple website with AI before the week is over. Not next month. Not after you "research more." This week.
2. Pick a market immediately. Doesn't have to be your local area. Look at population, average household income, and how many cleaning companies show up on Google Maps. You want a market with demand and not too much competition.
3. Post a job listing on Indeed the same week. You're not cleaning houses yourself. You're building a business. Go find contractors who already know how to clean and want consistent work. This is how you build the fulfillment side without doing any of the labor.
Before launching the war, Trump told the Iranian people: “When we are finished, take over your government. It will be yours to take.”
That sentence—breezy, belligerent, untethered from reality—is the best summary of how this conflict began.
5 things he didn’t think through: 🧵
That sentence—breezy, belligerent, untethered from reality—is the best summary of how this conflict began.
5 things he didn’t think through: 🧵
1. What if the regime doesn’t fall?
Trump wanted the Iranian people to do his dirty work. They didn’t.
The regime survived Khamenei’s assassination, rallied nationalist sentiment, and machine-gunned protesters in the streets.
Now Trump can’t find anyone to talk to. The strikes killed pragmatist leaders who might have done a deal.
Trump wanted the Iranian people to do his dirty work. They didn’t.
The regime survived Khamenei’s assassination, rallied nationalist sentiment, and machine-gunned protesters in the streets.
Now Trump can’t find anyone to talk to. The strikes killed pragmatist leaders who might have done a deal.
2. What if Iran closes the Strait?
Entirely foreseeable.
Every analyst in every major capital has worried about this for decades.
Brent crude hit $126/barrel. Fertilizer up 50%. A third of global helium supply—crucial for semiconductor chips —is bottled up.
The Dallas Fed estimates global GDP growth is down 2.9 points annualized. Every day costs the world economy more.
Trump is winging it.
Entirely foreseeable.
Every analyst in every major capital has worried about this for decades.
Brent crude hit $126/barrel. Fertilizer up 50%. A third of global helium supply—crucial for semiconductor chips —is bottled up.
The Dallas Fed estimates global GDP growth is down 2.9 points annualized. Every day costs the world economy more.
Trump is winging it.
🧵Je viens de finir de lire le projet de texte sur la 1ère brique du 28e régime 🇪🇺et comme prévu c’est une backdoor gigantesque pour les multinationales.
Au menu interdiction pur et simple des clauses de non-délocalisation. Fil à dérouler et partager à vos députés !👇
Au menu interdiction pur et simple des clauses de non-délocalisation. Fil à dérouler et partager à vos députés !👇
Pour ceux qui se rappellent du débat sur la directive de Bolkenstein en 2005 lors du référendum, vous adorerez le nouvel article 103 du règlement 28e régime qui d’ailleurs y fait explicitement référence.
Celui-ci prévoit une liste de « pratiques interdites par les Etats membres »…pour faire simple cet article simple interdit virtuellement toute conditionnalité et ou clause territoriale prévu dans notre droit.
A poor diet is the #1 reason people can't lose fat.
After coaching 900+ people, the ones who lose the most do the same thing, pick 3-4 simple meals on repeat.
Here's the list:
1. Chipotle
After coaching 900+ people, the ones who lose the most do the same thing, pick 3-4 simple meals on repeat.
Here's the list:
1. Chipotle
- Double chicken
- Fajita veggies (optional)
- Light white rice
- Light sour cream (optional)
- Corn salsa (optional)
- Lettuce
548 Calories, 68g Protein
- Fajita veggies (optional)
- Light white rice
- Light sour cream (optional)
- Corn salsa (optional)
- Lettuce
548 Calories, 68g Protein
2. Fat-Loss Omelette
- 1 cup egg whites
- 3 slices canadian bacon
- 1 egg
- 1/4 cup reduced fat cheddar cheese
- 1 serving greek yogurt
577 Calories, 74g Protein
- 1 cup egg whites
- 3 slices canadian bacon
- 1 egg
- 1/4 cup reduced fat cheddar cheese
- 1 serving greek yogurt
577 Calories, 74g Protein
New newsletter: THERE'S SOMETHING VERY WEIRD ABOUT PHONES AND AMERICA
The most interesting thing about the Smartphone Theory of Everything is that it's really a Smartphone Theory of Everything in America and the English-Speaking World.
While phones are everywhere, the problems that they cause are often rising fastest and first in the richest countries, especially in the U.S.
Youth sadness? Surging in the Anglosphere, but almost nowhere else.
Attention disorders? Skyrocketing in the U.S., but not Europe.
Populism, distrust, polarization? Much larger effects in the U.S. than other countries.
The version of the SToE that is most defensible given the best data we have is something like this:
Compulsive phone use along with under-regulated social media produce widespread youth anxiety, attention issues, polarization, populism, and institutional distrust in:
1. highly individualistic societies, with
2. a culture of diagnostic inflation [i.e., expanded diagnostic guidelines for anxiety and ADHD], plus
3. negative-affect prevalence [i.e., people online constantly talking about their anxiety and ADHD], and finally
4. high levels of negativity in their news ecosystem
... and post-2010 America was simply the first and most dramatic example of all these ingredients coming together.
The most interesting thing about the Smartphone Theory of Everything is that it's really a Smartphone Theory of Everything in America and the English-Speaking World.
While phones are everywhere, the problems that they cause are often rising fastest and first in the richest countries, especially in the U.S.
Youth sadness? Surging in the Anglosphere, but almost nowhere else.
Attention disorders? Skyrocketing in the U.S., but not Europe.
Populism, distrust, polarization? Much larger effects in the U.S. than other countries.
The version of the SToE that is most defensible given the best data we have is something like this:
Compulsive phone use along with under-regulated social media produce widespread youth anxiety, attention issues, polarization, populism, and institutional distrust in:
1. highly individualistic societies, with
2. a culture of diagnostic inflation [i.e., expanded diagnostic guidelines for anxiety and ADHD], plus
3. negative-affect prevalence [i.e., people online constantly talking about their anxiety and ADHD], and finally
4. high levels of negativity in their news ecosystem
... and post-2010 America was simply the first and most dramatic example of all these ingredients coming together.
The full story: derekthompson.org/p/is-the-smart…
CANCEL NETFLIX. CANCEL AMAZON PRIME. CANCEL HULU.
CANCEL NETFLIX. CANCEL AMAZON PRIME. CANCEL HULU.
CANCEL NETFLIX. CANCEL AMAZON PRIME. CANCEL HULU.
No subscriptions. No paywalls.
Just Chatgpt + a laptop turned into a free, on demand streaming system.
Here are 7 prompts to build it:
CANCEL NETFLIX. CANCEL AMAZON PRIME. CANCEL HULU.
CANCEL NETFLIX. CANCEL AMAZON PRIME. CANCEL HULU.
No subscriptions. No paywalls.
Just Chatgpt + a laptop turned into a free, on demand streaming system.
Here are 7 prompts to build it:
1| Free Streaming Finder
List all legal, free streaming platforms available in my country.
Include movies, tv shows, documentaries, live tv, and kids content.
Explain what each platform is best for.
List all legal, free streaming platforms available in my country.
Include movies, tv shows, documentaries, live tv, and kids content.
Explain what each platform is best for.
2| What To Watch Aggregator
Based on my interests [genres, shows, movies], create a free watchlist using only legal platforms.
Include where to watch each title and why it matches my taste.
Based on my interests [genres, shows, movies], create a free watchlist using only legal platforms.
Include where to watch each title and why it matches my taste.