Recent well liked threads
How Rawle Nyanzi would rewrite the plot of the Pokémon anime. We will go from the backstory to the ending, but this will only be Part 1. (THREAD) #anipoke
cc @MrBCWalker @bpardoe870 @NotJohnDaker @NotJonMollison
cc @MrBCWalker @bpardoe870 @NotJohnDaker @NotJonMollison
The backstory begins in Current Year. Economic and political crises wrack the world in the wake of a global pandemic. One war has already broken out in Eastern Europe while another is feared in Asia. 1/
Things are bad right now, but they get way worse; just not in a way anyone expected. The James Webb Space Telescope picks up “unidentified astronomical bodies” in deep space. Spectral analysis reveals them to be an alien invasion fleet, but this is kept quiet to avoid panic. 2/
🧵🧵
Communists strategically embed subtext meant to get past the “naive” while openly communicating revolutionary action to the ‘initiated” (“dog whistle”).
True Believers know that “resistance” & “confrontation” have precise meanings w/ violent subtext (think Hamas on 10/07).
Communists strategically embed subtext meant to get past the “naive” while openly communicating revolutionary action to the ‘initiated” (“dog whistle”).
True Believers know that “resistance” & “confrontation” have precise meanings w/ violent subtext (think Hamas on 10/07).
All of the above are papers, addresses, trainings, & books from @APA & @ACACounselors presidents (Thema Bryant & Edil Torres Rivera, respectively).
This is revolutionary open communication, w/ demonstrably violent implications, from the monopoly mental health oversight bodies.
This is revolutionary open communication, w/ demonstrably violent implications, from the monopoly mental health oversight bodies.
Let’s use the CE training as example.
First, look at the theorists cited, including postcolonial Marxists like Paulo Freire & Frantz Fanon, the latter being incredibly explicit in the Wretched of the Earth that his program is one of violence and “complete disorder.”
First, look at the theorists cited, including postcolonial Marxists like Paulo Freire & Frantz Fanon, the latter being incredibly explicit in the Wretched of the Earth that his program is one of violence and “complete disorder.”
🚨 BREAKING: Researchers at UW Allen School and Stanford just ran the largest study ever on AI creative diversity.
70+ AI models were given the same open-ended questions. They all gave the same answers.
They asked over 70 different LLMs the exact same open-ended questions.
"Write a poem about time." "Suggest startup ideas." "Give me life advice."
Questions where there is no single right answer. Questions where 10 different humans would give you 10 completely different responses.
Instead, 70+ models from every major AI company converged on almost identical outputs. Different architectures. Different training data. Different companies. Same ideas. Same structures. Same metaphors.
They named this phenomenon the "Artificial Hivemind." And the paper won the NeurIPS 2025 Best Paper Award, which is the highest recognition in AI research, handed to a small number of papers out of thousands of submissions.
This is not a blog post or a hot take. This is award-winning, peer-reviewed science confirming something massive is broken.
The team built a dataset called Infinity-Chat with 26,000 real-world, open-ended queries and over 31,000 human preference annotations. Not toy benchmarks. Not math problems.
Real questions people actually ask chatbots every single day, organized into 6 categories and 17 subcategories covering creative writing, brainstorming, speculative scenarios, and more.
They ran all of these across 70+ open and closed-source models and measured the diversity of what came back. Two findings hit hard.
First, intra-model repetition. Ask the same model the same open-ended question five times and you get almost the same answer five times.
The "creativity" you think you're getting is the same output wearing a slightly different outfit. You ask ChatGPT, Claude, or Gemini to write you a poem about time and you keep getting the same river metaphor, the same hourglass imagery, the same reflection on mortality.
Over and over. The model isn't thinking. It's defaulting to whatever scored highest during alignment training.
Second, and this is the one that should really alarm you, inter-model homogeneity. Ask GPT, Claude, Gemini, DeepSeek, Qwen, Llama, and dozens of other models the same creative question, and they all converge on strikingly similar responses.
These are models built by completely different companies with different architectures and different training pipelines.
They should be producing wildly different outputs. They're not. 70+ models all thinking inside the same invisible box, producing the same safe, consensus-approved content that blends together into one indistinguishable voice.
So why is this happening? The researchers point directly at RLHF and current alignment techniques. The process we use to make AI "helpful and harmless" is also making it generic and boring.
When every model gets trained to optimize for human preference scores, and those preference datasets converge on a narrow definition of what "good" looks like, every model learns to produce the same safe, agreeable output. The weird answers get penalized.
The original takes get shaved off. The genuinely creative responses get killed during training because they didn't match what the average annotator rated highly. And it gets even worse.
The study found that reward models and LLM-as-judge systems are actively miscalibrated when evaluating diverse outputs. When a response is genuinely different from the mainstream but still high quality, these automated systems rate it LOWER. The very tools we built to evaluate AI quality are punishing originality and rewarding sameness.
Think about what this means if you use AI for brainstorming, content creation, business strategy, or literally any task where you need multiple perspectives. You're getting the illusion of diversity, not the real thing.
You ask for 10 startup ideas and you get 10 variations of the same 3 ideas the model learned were "safe" during training. You ask for creative writing and you get the same therapeutic, perfectly balanced, utterly forgettable tone that every other model gives.
The researchers flagged direct implications for AI in science, medicine, education, and decision support, all domains where diverse reasoning is not a nice-to-have but a requirement.
Correlated errors across models means if one AI gets something wrong, they might ALL get it wrong the same way. Shared blind spots at massive scale.
And the long-term risk is even scarier. If billions of people interact with AI systems that all think identically, and those interactions shape how people write, brainstorm, and make decisions every day, we risk a slow, invisible homogenization of human thought itself. Not because AI replaced creativity.
Because it quietly narrowed what we were exposed to until we all started thinking the same way too.
Here's what you can actually do about it right now:
→ Stop accepting first-draft AI output as creative or diverse. If you need 10 ideas, generate 30 and throw away the obvious ones
→ Use temperature and sampling parameters aggressively to push models out of their comfort zone
→ Cross-reference multiple models AND multiple prompting strategies, because same model with different prompts often beats different models with the same prompt
→ Add constraints that force novelty like "give me ideas that a traditional investor would hate" instead of "give me creative ideas"
→ Use structured prompting techniques like Verbalized Sampling to force the model to explore low-probability outputs instead of defaulting to consensus
→ Layer your own taste and judgment on top of everything AI gives you. The model gets you raw material. Your weirdness and experience make it original
This paper puts hard data behind something a lot of us have been feeling for a while. AI is getting more capable and more homogeneous at the same time.
The models are smarter, but they're all smart in the exact same way. The Artificial Hivemind is not a bug in one model. It's a systemic feature of how the entire industry builds, aligns, and evaluates language models right now.
The fix requires rethinking alignment itself, moving toward what the researchers call "pluralistic alignment" where models get rewarded for producing diverse distributions of valid answers instead of collapsing to a single consensus mode.
Until that happens, your best defense is awareness and better prompting.
70+ AI models were given the same open-ended questions. They all gave the same answers.
They asked over 70 different LLMs the exact same open-ended questions.
"Write a poem about time." "Suggest startup ideas." "Give me life advice."
Questions where there is no single right answer. Questions where 10 different humans would give you 10 completely different responses.
Instead, 70+ models from every major AI company converged on almost identical outputs. Different architectures. Different training data. Different companies. Same ideas. Same structures. Same metaphors.
They named this phenomenon the "Artificial Hivemind." And the paper won the NeurIPS 2025 Best Paper Award, which is the highest recognition in AI research, handed to a small number of papers out of thousands of submissions.
This is not a blog post or a hot take. This is award-winning, peer-reviewed science confirming something massive is broken.
The team built a dataset called Infinity-Chat with 26,000 real-world, open-ended queries and over 31,000 human preference annotations. Not toy benchmarks. Not math problems.
Real questions people actually ask chatbots every single day, organized into 6 categories and 17 subcategories covering creative writing, brainstorming, speculative scenarios, and more.
They ran all of these across 70+ open and closed-source models and measured the diversity of what came back. Two findings hit hard.
First, intra-model repetition. Ask the same model the same open-ended question five times and you get almost the same answer five times.
The "creativity" you think you're getting is the same output wearing a slightly different outfit. You ask ChatGPT, Claude, or Gemini to write you a poem about time and you keep getting the same river metaphor, the same hourglass imagery, the same reflection on mortality.
Over and over. The model isn't thinking. It's defaulting to whatever scored highest during alignment training.
Second, and this is the one that should really alarm you, inter-model homogeneity. Ask GPT, Claude, Gemini, DeepSeek, Qwen, Llama, and dozens of other models the same creative question, and they all converge on strikingly similar responses.
These are models built by completely different companies with different architectures and different training pipelines.
They should be producing wildly different outputs. They're not. 70+ models all thinking inside the same invisible box, producing the same safe, consensus-approved content that blends together into one indistinguishable voice.
So why is this happening? The researchers point directly at RLHF and current alignment techniques. The process we use to make AI "helpful and harmless" is also making it generic and boring.
When every model gets trained to optimize for human preference scores, and those preference datasets converge on a narrow definition of what "good" looks like, every model learns to produce the same safe, agreeable output. The weird answers get penalized.
The original takes get shaved off. The genuinely creative responses get killed during training because they didn't match what the average annotator rated highly. And it gets even worse.
The study found that reward models and LLM-as-judge systems are actively miscalibrated when evaluating diverse outputs. When a response is genuinely different from the mainstream but still high quality, these automated systems rate it LOWER. The very tools we built to evaluate AI quality are punishing originality and rewarding sameness.
Think about what this means if you use AI for brainstorming, content creation, business strategy, or literally any task where you need multiple perspectives. You're getting the illusion of diversity, not the real thing.
You ask for 10 startup ideas and you get 10 variations of the same 3 ideas the model learned were "safe" during training. You ask for creative writing and you get the same therapeutic, perfectly balanced, utterly forgettable tone that every other model gives.
The researchers flagged direct implications for AI in science, medicine, education, and decision support, all domains where diverse reasoning is not a nice-to-have but a requirement.
Correlated errors across models means if one AI gets something wrong, they might ALL get it wrong the same way. Shared blind spots at massive scale.
And the long-term risk is even scarier. If billions of people interact with AI systems that all think identically, and those interactions shape how people write, brainstorm, and make decisions every day, we risk a slow, invisible homogenization of human thought itself. Not because AI replaced creativity.
Because it quietly narrowed what we were exposed to until we all started thinking the same way too.
Here's what you can actually do about it right now:
→ Stop accepting first-draft AI output as creative or diverse. If you need 10 ideas, generate 30 and throw away the obvious ones
→ Use temperature and sampling parameters aggressively to push models out of their comfort zone
→ Cross-reference multiple models AND multiple prompting strategies, because same model with different prompts often beats different models with the same prompt
→ Add constraints that force novelty like "give me ideas that a traditional investor would hate" instead of "give me creative ideas"
→ Use structured prompting techniques like Verbalized Sampling to force the model to explore low-probability outputs instead of defaulting to consensus
→ Layer your own taste and judgment on top of everything AI gives you. The model gets you raw material. Your weirdness and experience make it original
This paper puts hard data behind something a lot of us have been feeling for a while. AI is getting more capable and more homogeneous at the same time.
The models are smarter, but they're all smart in the exact same way. The Artificial Hivemind is not a bug in one model. It's a systemic feature of how the entire industry builds, aligns, and evaluates language models right now.
The fix requires rethinking alignment itself, moving toward what the researchers call "pluralistic alignment" where models get rewarded for producing diverse distributions of valid answers instead of collapsing to a single consensus mode.
Until that happens, your best defense is awareness and better prompting.
they built a dataset called INFINITY-CHAT. 26,000 real-world open-ended queries mined from actual chatbot conversations. not synthetic benchmarks. real questions people ask AI every day.
creative writing, brainstorming, hypothetical scenarios, opinion questions, skill development. prompts where there is no single correct answer.
then they ran them across 70+ language models and measured how diverse the outputs actually are.
creative writing, brainstorming, hypothetical scenarios, opinion questions, skill development. prompts where there is no single correct answer.
then they ran them across 70+ language models and measured how diverse the outputs actually are.
two patterns showed up consistently:
intra-model repetition. ask the same model the same question across different runs. even with temperature variation, it keeps producing nearly identical responses. the model has a "default answer" and rarely departs from it.
inter-model homogeneity. ask completely different models, different architectures, different companies, the same question. they converge on strikingly similar phrasing, metaphors, and reasoning chains.
different models independently arrive at the same ideas with minor surface-level variation. not because there's one right answer. because they've all collapsed into the same narrow region of possibility space.
intra-model repetition. ask the same model the same question across different runs. even with temperature variation, it keeps producing nearly identical responses. the model has a "default answer" and rarely departs from it.
inter-model homogeneity. ask completely different models, different architectures, different companies, the same question. they converge on strikingly similar phrasing, metaphors, and reasoning chains.
different models independently arrive at the same ideas with minor surface-level variation. not because there's one right answer. because they've all collapsed into the same narrow region of possibility space.
BREAKING: STUDENTS ARE NOW USING CHATGPT TO REVERSE-ENGINEER THEIR EXAMS.
Not cheating.
Not guessing.
Just ruthless pattern analysis.
Copy these 7 prompts to predict your next exam:
Not cheating.
Not guessing.
Just ruthless pattern analysis.
Copy these 7 prompts to predict your next exam:
1) Past Paper Pattern Scanner
Prompt: Act as a senior exam analyst. I will paste 3–5 past exam papers below. Identify recurring topics, repeated question formats, weight distribution trends, and concept clusters. Rank the top 10 most probable themes for the next exam based on frequency, depth, and evolution over time. Explain why each is likely to appear again.
Prompt: Act as a senior exam analyst. I will paste 3–5 past exam papers below. Identify recurring topics, repeated question formats, weight distribution trends, and concept clusters. Rank the top 10 most probable themes for the next exam based on frequency, depth, and evolution over time. Explain why each is likely to appear again.
2) Examiner Psychology Decode
Prompt: Act as an experienced examiner for this subject. Based on the syllabus and past papers I provide, explain what examiners are actually testing beyond surface knowledge. Identify common traps, predictable framing styles, and how questions are designed to differentiate average students from top scorers.
Prompt: Act as an experienced examiner for this subject. Based on the syllabus and past papers I provide, explain what examiners are actually testing beyond surface knowledge. Identify common traps, predictable framing styles, and how questions are designed to differentiate average students from top scorers.
I was in a 2 hour briefing today on the Iran War. All the briefings are closed, because Trump can't defend this war in public.
I obviously can't disclose classified info, but you deserve to know how incoherent and incomplete these war plans are.
1/ Here's what I can share:
I obviously can't disclose classified info, but you deserve to know how incoherent and incomplete these war plans are.
1/ Here's what I can share:
2/ Maybe the lead is that the war goals DO NOT involve destroying Iran's nuclear weapons program. This is, uh...surprising...since Trump says over and over this is a key goal.
But then of course we already know air strikes can't wipe out their nuclear material.
But then of course we already know air strikes can't wipe out their nuclear material.
3/ Second, they confirmed "regime change" is also NOT on the list. So, they are going to spend hundreds of billions of your taxpayer dollars, get a whole bunch of Americans killed, and a hardline regime - probably a MORE anti-American hardline regime - will still be in charge.
La mayoría usa NotebookLM para resumir PDFs.
Grave error.
La Guía Definitiva de NotebookLM, con 12 de mis Mejores Trucos prácticos: Que sí sirven en la Vida Real.
👇⬇️
Grave error.
La Guía Definitiva de NotebookLM, con 12 de mis Mejores Trucos prácticos: Que sí sirven en la Vida Real.
👇⬇️
ANTES.
12 Herramientas de IA GRATIS que están Cambiando el Juego 👇
12 Herramientas de IA GRATIS que están Cambiando el Juego 👇
1. Convierte reuniones en tareas claras.
👇😵
👇😵
🧵THREAD: Colorado Just Blinked in the Tina Peters Case… And the reason why might shock you...
For years, Colorado officials lied and told the public the Tina Peters case was open and shut.
According to them, she wasn’t a whistleblower. She was a dangerous grandmother who had to be stopped. They said the prosecution was justified and the nine-year sentence was “appropriate.”
That was the story.
But now something strange is happening.
Suddenly, the state’s top guy is doing a full 180. So, what's going on?
1/5
For years, Colorado officials lied and told the public the Tina Peters case was open and shut.
According to them, she wasn’t a whistleblower. She was a dangerous grandmother who had to be stopped. They said the prosecution was justified and the nine-year sentence was “appropriate.”
That was the story.
But now something strange is happening.
Suddenly, the state’s top guy is doing a full 180. So, what's going on?
1/5
Governor Jared Polis is now admitting what we've known all along.
The nine-year sentence handed to Tina Peters was wildly out of line. It was lawfare, plain and simple.
But the big guy already knew that.
2/5
The nine-year sentence handed to Tina Peters was wildly out of line. It was lawfare, plain and simple.
But the big guy already knew that.
2/5
Let’s remember what Tina Peters was accused of:
She was a county clerk who allowed election system data to be copied during the chaos after the 2020 election.
For that decision, Colorado came down on her like a sledgehammer.
Nine years in prison.
3/5
She was a county clerk who allowed election system data to be copied during the chaos after the 2020 election.
For that decision, Colorado came down on her like a sledgehammer.
Nine years in prison.
3/5
During a job interview, when they ask:
“Do you have any questions for us?”
Don’t say “No, I’m good.”
Use the Golden Response instead:
“Do you have any questions for us?”
Don’t say “No, I’m good.”
Use the Golden Response instead:
The "Passive" Penalty
In 2026, saying you have "no questions" is interpreted as a lack of curiosity or business acumen. The interview isn't over until you walk out the door. This is your chance to flip the script and interview them.
In 2026, saying you have "no questions" is interpreted as a lack of curiosity or business acumen. The interview isn't over until you walk out the door. This is your chance to flip the script and interview them.
The Psychology of the Flip
The best candidates don't act like supplicants; they act like consultants. You aren't just looking for a paycheck; you’re looking for a partnership. High-value questions prove you’re vetting them just as hard.
The best candidates don't act like supplicants; they act like consultants. You aren't just looking for a paycheck; you’re looking for a partnership. High-value questions prove you’re vetting them just as hard.
Es ist so witzig wie heute alle Atomkraft Fans (ich bin kein Gegner) Oberwasser haben. Leute, tut mir einen Gefallen, bitte speichert euch diesen Tweet und dieses Bild. Ein kurzer Thread über viele Widersprüche. 🧵
Gehen wir also mal jeden Sektor der Sektorenkopplung durch. Starten wir beim Einfachsten: Elektromobilität
Autos, Trucks,...
Keine Diskussion mehr über Wasserstoff, eFuels,... Wir wollen die Strom schließlich maximal nutzen, oder? ODER?
Wo sind die Posts der Atomkraft Fans?
Autos, Trucks,...
Keine Diskussion mehr über Wasserstoff, eFuels,... Wir wollen die Strom schließlich maximal nutzen, oder? ODER?
Wo sind die Posts der Atomkraft Fans?
50% der Industrie sind mittlerweile dekarbonisierbar. Heidelberg Materials musste gerade erst große einbußen hinnehmen, da er den Emissionshandel angezweilelt hat. Heidelberg Cement war bei der Dekarbonisierung / Elektrifizierung weit.
Wo sind die Posts der Atomkraft Fans?
Wo sind die Posts der Atomkraft Fans?
PAKKINTI AUNTY Ft. Srav
PART-2
story recap miku separate ga chepakarledu anukunta..
Daniel and srav full sweaty romance lo unnaru
table mida ring avutuna phone chusindi..thana hubby call chestunnadu
Srav: ayyo na mogudu call chestunadu
D: em kaadhu baby(ani guddha pisukutunadu)
PART-2
story recap miku separate ga chepakarledu anukunta..
Daniel and srav full sweaty romance lo unnaru
table mida ring avutuna phone chusindi..thana hubby call chestunnadu
Srav: ayyo na mogudu call chestunadu
D: em kaadhu baby(ani guddha pisukutunadu)
25/n
S:pls aapu naku guilty ga undi(vadilinchukuni table degaraki velli call lift chesindi)
D: baby..
S:usshhh pls🤫
Teja: baby?nen intiki vachesa nuvu ekadunnav eey?
S: nenu shop lo unna andi..full customers unnaru(bra tho undi)
Daniel ki sulla agatla..legisina modda oogipotundi
S:pls aapu naku guilty ga undi(vadilinchukuni table degaraki velli call lift chesindi)
D: baby..
S:usshhh pls🤫
Teja: baby?nen intiki vachesa nuvu ekadunnav eey?
S: nenu shop lo unna andi..full customers unnaru(bra tho undi)
Daniel ki sulla agatla..legisina modda oogipotundi
26/n
Srav pellaina mylfy guddha inka nadumu shape ki daniel inka kasekki potuanad
Dan sudden ga venaka nundi grab nadum patti puku lo dhopesadu
S: ahhh ummm ahhhh
T: hey emaindi?
(Dan dengutunadu thap thap!)
S: em ledu andi
T: serious ah nenu raana?
(Continuous shots istunadu)
Srav pellaina mylfy guddha inka nadumu shape ki daniel inka kasekki potuanad
Dan sudden ga venaka nundi grab nadum patti puku lo dhopesadu
S: ahhh ummm ahhhh
T: hey emaindi?
(Dan dengutunadu thap thap!)
S: em ledu andi
T: serious ah nenu raana?
(Continuous shots istunadu)
BREAKING: A new whistleblower report alleges that a former DOGE member claimed he kept his SSA computer & credentials w/ “God-level” access to SSA systems. Yet the “Save America Act” wld force every state to rely on a voter-purge system dependent on SSA data, creating a national election security threat. 1/
🚨 Der Sumpf vertieft sich: Meineid, Korruption und der Fall Kristi Noem
Während die MAGA-Basis im Netz „Verrat“ schreit, brennt im Heimatschutzministerium (DHS) die Hütte. Die Vorwürfe von Senator Durbin gegen die gefeuerte Ministerin Kristi Noem zeigen: Hinter der harten Rhetorik herrscht kriminelles Chaos.
Gleich gehts weiter.🧵
Während die MAGA-Basis im Netz „Verrat“ schreit, brennt im Heimatschutzministerium (DHS) die Hütte. Die Vorwürfe von Senator Durbin gegen die gefeuerte Ministerin Kristi Noem zeigen: Hinter der harten Rhetorik herrscht kriminelles Chaos.
Gleich gehts weiter.🧵
1/Das Ende einer Illusion. Während Donald Trump im Wahlkampf die „größte Deportationsaktion der Geschichte“ versprach, vollzieht er nun im Stillen eine radikale Kehrtwende.
Die MAGA-Basis schäumt vor Wut und spricht offen von einem „widerlichen Verrat“.
Doch hinter den Kulissen geht es um weit mehr als nur gebrochene Versprechen: Es geht um Meineid, Korruption und den totalen Kontrollverlust im Staatsapparat.
Die MAGA-Basis schäumt vor Wut und spricht offen von einem „widerlichen Verrat“.
Doch hinter den Kulissen geht es um weit mehr als nur gebrochene Versprechen: Es geht um Meineid, Korruption und den totalen Kontrollverlust im Staatsapparat.
2/ Warum rudert Trump jetzt zurück? Die Antwort ist so simpel wie entlarvend: Die logistische und wirtschaftliche Realität hat seine populistischen Parolen eingeholt.
Berater warnen intern vor einem sofortigen Kollaps der US-Bauwirtschaft und der Landwirtschaft, sollte er Ernst machen.
Die Inflation würde explodieren.
Trump, der „Dealmaker“, opfert seine radikalsten Pläne nun der nackten Angst vor einem Wirtschafts-Crash.
Berater warnen intern vor einem sofortigen Kollaps der US-Bauwirtschaft und der Landwirtschaft, sollte er Ernst machen.
Die Inflation würde explodieren.
Trump, der „Dealmaker“, opfert seine radikalsten Pläne nun der nackten Angst vor einem Wirtschafts-Crash.
🧵 Several Things That Will Leave You Feeling Very Depressed About London
Disclaimer: This thread is intended to highlight factual information about London and not simply cry about how bad London is. It simply points out facts about how the United Kingdom’s capital city has changed over the years. It's not intended to send a negative message, it’s actually more of a reality check.
London is a historic city, full of culture, history, and character. It has always been known as a great and iconic city, and for good reason. However, the changes it has undergone over the years, coupled with long periods of very poor leadership, have made it, in many ways, unrecognisable. If current trends continue, it could become even worse.
London is a historic city, full of culture, history, and character. It has always been known as a great and iconic city, and for good reason. However, the changes it has undergone over the years, coupled with long periods of very poor leadership, have made it, in many ways, unrecognisable. If current trends continue, it could become even worse.
1. Most of London Is Owned By Qatar.
Yes, really. Qatari investment groups have bought some of the city’s most iconic landmarks and commercial hubs, including The Shard, Harrods, Canary Wharf, and major parts of the West End. Their influence stretches from luxury real estate to major office developments.
The issue? Qatar is also known to offer refuge and support to some of the world’s most notorious terrorist organisations, including Hamas.
This raises serious questions about who truly shapes London and the direction the city is heading.
In the US, Qatar has poured hundreds of millions into various universities. Is it merely a coincidence that many students at those universities have openly expressed support for Islamic terror groups and regimes?
Yes, really. Qatari investment groups have bought some of the city’s most iconic landmarks and commercial hubs, including The Shard, Harrods, Canary Wharf, and major parts of the West End. Their influence stretches from luxury real estate to major office developments.
The issue? Qatar is also known to offer refuge and support to some of the world’s most notorious terrorist organisations, including Hamas.
This raises serious questions about who truly shapes London and the direction the city is heading.
In the US, Qatar has poured hundreds of millions into various universities. Is it merely a coincidence that many students at those universities have openly expressed support for Islamic terror groups and regimes?
1/6🚨 BOMBSHELL THREAD: Arnold Ventures’ $40 Million “Science Integrity” Project Collapsed — And Its Leader Ran Straight to Jeffrey Epstein
Fourteen days ago we extended Arnold Ventures LLC and principals John & Laura Arnold a professional courtesy: 14 days to audit their funding of the major elements of the PubPeer “PubSmear” Network Mob; PubPeer Foundation and Retraction Watch, responsible for over a decade of orchestrated harassment, smearing, and defamation campaigns.
Zero response. Zero audit. Zero transparency.
Silence = admission of no accountability.
Today we drop the receipts that prove why oversight of their “research integrity” spending is not optional.
🧵 Thread starts now.
Stay till the end — the full pattern & proof will blow your mind.
#PubSmear #EpsteinFiles #ScienceForSale #BillionairesBuyingScience
Fourteen days ago we extended Arnold Ventures LLC and principals John & Laura Arnold a professional courtesy: 14 days to audit their funding of the major elements of the PubPeer “PubSmear” Network Mob; PubPeer Foundation and Retraction Watch, responsible for over a decade of orchestrated harassment, smearing, and defamation campaigns.
Zero response. Zero audit. Zero transparency.
Silence = admission of no accountability.
Today we drop the receipts that prove why oversight of their “research integrity” spending is not optional.
🧵 Thread starts now.
Stay till the end — the full pattern & proof will blow your mind.
#PubSmear #EpsteinFiles #ScienceForSale #BillionairesBuyingScience
2/6 Exhibit A: The Nutrition Science Initiative (NuSI) — Arnold Ventures’ flagship $40+ million bet on “fixing science.”
2012: $4.7 million seed grant
2013: $35.5 million multi-year commitment
Total: Over $40 million from the then-Laura and John Arnold Foundation to “solve obesity” and prove they could fund better science than everyone else.
The promise? A “Manhattan Project” for nutrition that would slash U.S. obesity by 50% and diabetes by 75% by 2025.
What actually happened?
2012: $4.7 million seed grant
2013: $35.5 million multi-year commitment
Total: Over $40 million from the then-Laura and John Arnold Foundation to “solve obesity” and prove they could fund better science than everyone else.
The promise? A “Manhattan Project” for nutrition that would slash U.S. obesity by 50% and diabetes by 75% by 2025.
What actually happened?
3/6 December 10, 2015
NuSI sends a formal memo titled “NuSI Memo re: Attaining Alpha” to Arnold Ventures leadership, responding to their detailed inquiries.
👉Recipients included:
• Kelli Rhee (then rising star at Arnold, now President & CEO of Arnold Ventures)
• Stuart Buck (then VP of Research at Arnold Ventures, architect of their “research integrity” portfolio, including grants to PubPeer Foundation and Retraction Watch)
• Elizabeth Banks (CFO and Treasurer of Arnold Ventures)
December 11, 2015 — NuSI co-founder & President Peter Attia, M.D. forwards that exact memo to Jeffrey Epstein’s private email (jeevacation@gmail.com). Attia’s private commentary:
“This is what was sent out. Wait and see time.”
“Still think they want to hang me from a tree? Brutal, huh?”
Less than three weeks later: Attia quietly resigns from NuSI (end of December 2015).
Early 2016: Arnold Ventures immediately downgrades NuSI from annual contracts to short-term three-month “bridge” funding only.
The organization never recovers.
It limps along, sheds staff, and is fully dissolved on December 31, 2021.
A $40+ million “research integrity” showcase — dead.
NuSI sends a formal memo titled “NuSI Memo re: Attaining Alpha” to Arnold Ventures leadership, responding to their detailed inquiries.
👉Recipients included:
• Kelli Rhee (then rising star at Arnold, now President & CEO of Arnold Ventures)
• Stuart Buck (then VP of Research at Arnold Ventures, architect of their “research integrity” portfolio, including grants to PubPeer Foundation and Retraction Watch)
• Elizabeth Banks (CFO and Treasurer of Arnold Ventures)
December 11, 2015 — NuSI co-founder & President Peter Attia, M.D. forwards that exact memo to Jeffrey Epstein’s private email (jeevacation@gmail.com). Attia’s private commentary:
“This is what was sent out. Wait and see time.”
“Still think they want to hang me from a tree? Brutal, huh?”
Less than three weeks later: Attia quietly resigns from NuSI (end of December 2015).
Early 2016: Arnold Ventures immediately downgrades NuSI from annual contracts to short-term three-month “bridge” funding only.
The organization never recovers.
It limps along, sheds staff, and is fully dissolved on December 31, 2021.
A $40+ million “research integrity” showcase — dead.
BREAKING: foreign hacker compromised Epstein files held by @FBI.
Source describes it as cybercriminal.
"included combing through certain files pertaining to the Epstein investigation.”
Previously all we knew was: there was some sort of breach. By @razhael 1/
Source describes it as cybercriminal.
"included combing through certain files pertaining to the Epstein investigation.”
Previously all we knew was: there was some sort of breach. By @razhael 1/
2/ Hacker stumbles across Epstein child abuse on FBI server.
Is disgusted.
Threatens to call FBI.
FBI gets on video call to prove they are in fact the FBI.
Is disgusted.
Threatens to call FBI.
FBI gets on video call to prove they are in fact the FBI.
I met a Marwadi man who turned a ₹40 lakh loan into ₹6.5 crore of assets.
No, he did not sell property or trade stocks.
Just one balance sheet trick the middle class is never taught. 👇🏻
No, he did not sell property or trade stocks.
Just one balance sheet trick the middle class is never taught. 👇🏻
1. Let’s rewind to 2017.
A Marwadi family owned a house worth about ₹70 lakh.
What most middle class families do:
• Live in the house
• Let the asset sit idle
• Depend only on salary
They saw the house differently.
Not as security. As leverage.
A Marwadi family owned a house worth about ₹70 lakh.
What most middle class families do:
• Live in the house
• Let the asset sit idle
• Depend only on salary
They saw the house differently.
Not as security. As leverage.
2. He followed a simple rule
Never Sell land asset
He took a Loan Against Property (LAP).
• Property value ₹70 lakh
• Loan taken ₹40 lakh
The house stayed with them.
But now the balance sheet started working.
Never Sell land asset
He took a Loan Against Property (LAP).
• Property value ₹70 lakh
• Loan taken ₹40 lakh
The house stayed with them.
But now the balance sheet started working.
Donald Trump hat enthüllt, dass seine wichtigste Quelle bezüglich der iranischen Absichten
▶️ Jared Kushner
war. Nicht die CIA.
👉Nicht die NSA.
👉Nicht der Direktor des Nationalen Nachrichtendienstes. Sondern sein
‼️Schwiegersohn.
▶️ Jared Kushner
war. Nicht die CIA.
👉Nicht die NSA.
👉Nicht der Direktor des Nationalen Nachrichtendienstes. Sondern sein
‼️Schwiegersohn.
▶️ „Aufgrund dessen, was Jared mir erzählt hat, dachte ich, der Iran würde uns angreifen“, sagte Trump.
Normale Präsidenten haben nationale Sicherheitsräte, Geheimdienstberichte
+ Karriereanalysten,
d. ihr Leben d. Analyse d. Fähigkeiten des Gegners widmen.
▶️ Trump hat Familie
Normale Präsidenten haben nationale Sicherheitsräte, Geheimdienstberichte
+ Karriereanalysten,
d. ihr Leben d. Analyse d. Fähigkeiten des Gegners widmen.
▶️ Trump hat Familie
So entschied sich eine atomar bewaffnete Supermacht für einen Krieg. ▶️ Die Weltwirtschaft basiert heute auf Kushners Bauchgefühl.
Unfassbar
Unfassbar
I'm Italian. I just got back from Rome.
Over dinner, old friends and I started arguing about the same thing we always argue about: which cities in Italy are genuinely incredible but nobody ever talks about?
We went back and forth for hours. By the end of the night, we had a list.
7 hidden cities that most people, including most Italians, will never think to visit, let alone move to.
No crowds. No tourist markup. Insane quality of life.
Thread 🧵
Over dinner, old friends and I started arguing about the same thing we always argue about: which cities in Italy are genuinely incredible but nobody ever talks about?
We went back and forth for hours. By the end of the night, we had a list.
7 hidden cities that most people, including most Italians, will never think to visit, let alone move to.
No crowds. No tourist markup. Insane quality of life.
Thread 🧵
Italy has 7,904 municipalities. Tourists visit maybe 15.
These aren't "cheap places to test it out." They're cities where wealthy Italians live their best lives, completely off the radar.
For each one, I broke down property prices, nearest airport, population, who it's actually for, and the honest downsides you should be aware of.
7 cities I'd personally relocate to. Data on every single one:
These aren't "cheap places to test it out." They're cities where wealthy Italians live their best lives, completely off the radar.
For each one, I broke down property prices, nearest airport, population, who it's actually for, and the honest downsides you should be aware of.
7 cities I'd personally relocate to. Data on every single one:
1/ TRIESTE, The Central European Hybrid
This isn't a typical Italian city. It's Vienna by the sea.
Habsburg architecture, historic literary cafés (Joyce wrote Ulysses here), and a vibe that's half Austrian, half Mediterranean.
I have a close friend from the area. One thing that always struck me: people in Trieste are always impeccably dressed. There's an elegance there you don't find in other Italian cities. It's the Viennese influence.
Understated, refined.
Population: 198,000. This is a REAL city, not a village.
€2,558/sqm (+9.3% YoY). €200-300K buys 80-120 sqm.
This isn't a typical Italian city. It's Vienna by the sea.
Habsburg architecture, historic literary cafés (Joyce wrote Ulysses here), and a vibe that's half Austrian, half Mediterranean.
I have a close friend from the area. One thing that always struck me: people in Trieste are always impeccably dressed. There's an elegance there you don't find in other Italian cities. It's the Viennese influence.
Understated, refined.
Population: 198,000. This is a REAL city, not a village.
€2,558/sqm (+9.3% YoY). €200-300K buys 80-120 sqm.
