Recent well liked threads
A detailed thread🧵 for forgotten chalukyan triumphs🔥 in their battles against cholas during #chalukya-#chola #wars ⚔️. #Karnataka #Kannada #TamilNadu #Tamil #vengi 
(1) emperor tailappa-II confrontion with uttama chola . In this confrontation emperor tailappa-II defeated chola emperor Uttama.
(2)battle of rodda 992AD . In this battle chalukyan emperor tailappa-2 defeated Raja Raja chola and captured his 150 elephants
Ook dit zal al te gretig misbruikt worden door een organisatie als @UPCKULeuven om haar schadegevallen die ze zelf produceert verder de mond te snoeren en daarmee nog meer schade aan te richten. Zij zijn er nu al niet vies van jou eenzijdig te framen en online te blokkeren...
Weet goed waar je aan begint als je ooit "hulp" zoekt bij die organisatie. Als het ooit misgaat, zetten ze je met je rug tegen de muur, proberen je nog wat meer "hulp" aan te smeren en als je je tracht uit te spreken doen ze alles om je de mond te snoeren en monddood te maken.
Ook in dit soort samenwerkingen met de media zal er zwaar eenzijdig geframed gaan worden. Wellicht zullen reacties "gemodereerd" worden en enkel "positieve" verhalen verteld worden. Jouw verhaal wordt genegeerd. Past niet bij het positieve imago. Experts dulden geen tegenspraak.
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
1/ The death spiral in one chart.
Generation 1: the model produces text that sounds human.
Generation 3: the output starts repeating itself.
Generation 5: rare words disappear entirely.
Generation 9: the model produces nonsense.
Each generation trained on the previous generation's output. Each generation lost more. The researchers watched it happen in real time.
Generation 1: the model produces text that sounds human.
Generation 3: the output starts repeating itself.
Generation 5: rare words disappear entirely.
Generation 9: the model produces nonsense.
Each generation trained on the previous generation's output. Each generation lost more. The researchers watched it happen in real time.
2/ The tails die first.
The researchers plotted what each generation of AI remembers about the original data.
Generation 1: the full distribution. Every rare idea. Every unusual perspective.
Generation 5: the edges are gone. Only the middle remains.
Generation 9: a single narrow spike. One voice. One style. One version of reality.
The weird, creative, unexpected parts of human writing are the first things Model Collapse erases.
The researchers plotted what each generation of AI remembers about the original data.
Generation 1: the full distribution. Every rare idea. Every unusual perspective.
Generation 5: the edges are gone. Only the middle remains.
Generation 9: a single narrow spike. One voice. One style. One version of reality.
The weird, creative, unexpected parts of human writing are the first things Model Collapse erases.
🚨 BREAKING: I asked Claude to upgrade my LinkedIn profile…
It didn't just "improve" it, it turned it into a recruiter magnet.
Here are the exact 10 prompts I used:
It didn't just "improve" it, it turned it into a recruiter magnet.
Here are the exact 10 prompts I used:
Prompt 1 — The Headline Overhaul
"My current LinkedIn headline is: [PASTE CURRENT HEADLINE]
I work as [YOUR ROLE] in [YOUR INDUSTRY].
Rewrite my headline to:
- Include what I do AND who I help
- Use keywords recruiters actually search
- Show the transformation I provide
- Be compelling in under 220 characters
Give me 10 variations — some bold, some professional, some keyword-heavy."
Your headline is your first impression. Make it count.
"My current LinkedIn headline is: [PASTE CURRENT HEADLINE]
I work as [YOUR ROLE] in [YOUR INDUSTRY].
Rewrite my headline to:
- Include what I do AND who I help
- Use keywords recruiters actually search
- Show the transformation I provide
- Be compelling in under 220 characters
Give me 10 variations — some bold, some professional, some keyword-heavy."
Your headline is your first impression. Make it count.
Prompt 2 — The About Section
"I'm a [YOUR ROLE] with [X YEARS] experience in [YOUR INDUSTRY].
Current situation: [WHAT'S WRONG WITH CURRENT ABOUT]
Create a LinkedIn About section that:
- Opens with a hook (not "I am a...")
- Shows what problems I solve
- Proves it with results or achievements
- Ends with a clear call to action
Tone: Confident but not arrogant. Specific but not boring.
Make me sound like the expert I actually am."
"I'm a [YOUR ROLE] with [X YEARS] experience in [YOUR INDUSTRY].
Current situation: [WHAT'S WRONG WITH CURRENT ABOUT]
Create a LinkedIn About section that:
- Opens with a hook (not "I am a...")
- Shows what problems I solve
- Proves it with results or achievements
- Ends with a clear call to action
Tone: Confident but not arrogant. Specific but not boring.
Make me sound like the expert I actually am."
QUAEST: AGENIAL PESQUISA QUE UM BANCO COMPROU
Entre os dias 5 e 8 de junho, entrevistadores bateram em 2.004 portas de 120 municípios brasileiros. Fizeram 106 perguntas dentro de cada casa. Sobre voto, sobre o governo, sobre imposto de renda, sobre o Banco Master, sobre Trump, sobre facções, sobre Pix, sobre bets.
Quem pagou a conta foi um banco. R$ 433.255,92, nota fiscal número 353, contratante Banco Genial. Dá R$ 216 por porta batida. No dia 10, o país recebeu a manchete: Lula 39, Flávio 29. Ponto final, eleição encerrada, podem ir para casa. Eu não fui para casa. Fui ler o registro no TSE, a pesquisa BR-07661/2026, assinada pela estatística Margarida Maria de Mendonça, CONRE 6731.
Fui ler o questionário inteiro, as 106 perguntas, uma por uma. Cruzei a amostra com o TSE e com a PNAD, refiz a margem de erro com o desenho amostral real, reponderei a renda, montei o balanço de transferência do segundo turno.
E descobri duas coisas.
Primeira: a Quaest fez o melhor trabalho de campo do ciclo, e vou dizer isso com todas as letras.
Segunda: as perguntas mais explosivas do questionário, se Bolsonaro deveria trocar Flávio e o que acontece se Trump o apoiar, foram feitas, registradas, pagas. E nunca publicadas.
Alguém sabe essas respostas. Você não.
Siga o fio!
Entre os dias 5 e 8 de junho, entrevistadores bateram em 2.004 portas de 120 municípios brasileiros. Fizeram 106 perguntas dentro de cada casa. Sobre voto, sobre o governo, sobre imposto de renda, sobre o Banco Master, sobre Trump, sobre facções, sobre Pix, sobre bets.
Quem pagou a conta foi um banco. R$ 433.255,92, nota fiscal número 353, contratante Banco Genial. Dá R$ 216 por porta batida. No dia 10, o país recebeu a manchete: Lula 39, Flávio 29. Ponto final, eleição encerrada, podem ir para casa. Eu não fui para casa. Fui ler o registro no TSE, a pesquisa BR-07661/2026, assinada pela estatística Margarida Maria de Mendonça, CONRE 6731.
Fui ler o questionário inteiro, as 106 perguntas, uma por uma. Cruzei a amostra com o TSE e com a PNAD, refiz a margem de erro com o desenho amostral real, reponderei a renda, montei o balanço de transferência do segundo turno.
E descobri duas coisas.
Primeira: a Quaest fez o melhor trabalho de campo do ciclo, e vou dizer isso com todas as letras.
Segunda: as perguntas mais explosivas do questionário, se Bolsonaro deveria trocar Flávio e o que acontece se Trump o apoiar, foram feitas, registradas, pagas. E nunca publicadas.
Alguém sabe essas respostas. Você não.
Siga o fio!
CRÉDITO ONDE É DEVIDO
Primeiro, o elogio. E ele é sincero, porque auditoria que só desce o porrete não é auditoria, é militância com planilha.
O campo da Quaest é o melhor que eu vi neste ciclo, e olha que já dissequei Datafolha e AtlasIntel. Datafolha aborda gente em ponto de fluxo, na rua, na pressa. Atlas recruta pela internet. A Quaest fez o que manual manda e quase ninguém paga para fazer: sorteou municípios por probabilidade proporcional ao tamanho, sorteou setores censitários dentro deles, bateu na porta do domicílio, gravou áudio, conferiu 30% das entrevistas por gravação e checou georreferenciamento. É a diferença entre fotografar a rua, fotografar a internet e entrar na casa do eleitor.
E o resultado aparece. Cruzei a amostra com o cadastro do TSE de maio de 2026, eleitorado real, excluído o exterior: mulheres 53,0 na Quaest contra 52,8 no TSE. Jovens de 16 a 34: 31,0 contra 31,4. Idosos: 23,0 contra 23,3. Escolaridade contra a PNADC trimestral: 41/40/19 contra 41,1/39,6/19,3. Quase ao decimal, em todas as linhas.
Isso não acontece por sorte. Acontece quando alguém faz o trabalho.
E é exatamente por isso que o que vem a seguir nesta thread é grave. Quem acerta o decimal na demografia não erra por descuido no resto. Erra por escolha.
Primeiro, o elogio. E ele é sincero, porque auditoria que só desce o porrete não é auditoria, é militância com planilha.
O campo da Quaest é o melhor que eu vi neste ciclo, e olha que já dissequei Datafolha e AtlasIntel. Datafolha aborda gente em ponto de fluxo, na rua, na pressa. Atlas recruta pela internet. A Quaest fez o que manual manda e quase ninguém paga para fazer: sorteou municípios por probabilidade proporcional ao tamanho, sorteou setores censitários dentro deles, bateu na porta do domicílio, gravou áudio, conferiu 30% das entrevistas por gravação e checou georreferenciamento. É a diferença entre fotografar a rua, fotografar a internet e entrar na casa do eleitor.
E o resultado aparece. Cruzei a amostra com o cadastro do TSE de maio de 2026, eleitorado real, excluído o exterior: mulheres 53,0 na Quaest contra 52,8 no TSE. Jovens de 16 a 34: 31,0 contra 31,4. Idosos: 23,0 contra 23,3. Escolaridade contra a PNADC trimestral: 41/40/19 contra 41,1/39,6/19,3. Quase ao decimal, em todas as linhas.
Isso não acontece por sorte. Acontece quando alguém faz o trabalho.
E é exatamente por isso que o que vem a seguir nesta thread é grave. Quem acerta o decimal na demografia não erra por descuido no resto. Erra por escolha.
O que a pesquisa mediu, antes de qualquer interpretação minha.
Primeiro turno estimulado, com a lista de nomes na mão do entrevistador: Lula 39, Flávio Bolsonaro 29. Segundo turno simulado: Lula 44, Flávio 38. Até aqui, a manchete que você leu.
Agora o número que a manchete pulou. Na pergunta espontânea, a Q8 do questionário, quando o entrevistador cala a boca e o eleitor responde sem ver lista nenhuma, Lula tem 23, Flávio tem 17.
E 56% não sabem em quem votar.
Cinquenta e seis por cento. Mais da metade do país ainda não decidiu a eleição que o noticiário já deu por decidida quatro meses antes do primeiro turno.
E tem mais fundo nesse retrato. O mesmo levantamento mostra o governo com 47 de aprovação contra 48 de desaprovação e avaliação negativa de 38 superando a positiva de 34. Ou seja: um presidente eleitoralmente forte sentado sobre um governo socialmente reprovado. Historicamente, essa combinação não envelhece bem.
A fotografia é legítima, o campo foi bem feito, os números são esses. Minha briga não é com a foto. É com a moldura, com a legenda e, principalmente, com as partes da foto que cortaram antes de mostrar para você. Vamos a elas.
Primeiro turno estimulado, com a lista de nomes na mão do entrevistador: Lula 39, Flávio Bolsonaro 29. Segundo turno simulado: Lula 44, Flávio 38. Até aqui, a manchete que você leu.
Agora o número que a manchete pulou. Na pergunta espontânea, a Q8 do questionário, quando o entrevistador cala a boca e o eleitor responde sem ver lista nenhuma, Lula tem 23, Flávio tem 17.
E 56% não sabem em quem votar.
Cinquenta e seis por cento. Mais da metade do país ainda não decidiu a eleição que o noticiário já deu por decidida quatro meses antes do primeiro turno.
E tem mais fundo nesse retrato. O mesmo levantamento mostra o governo com 47 de aprovação contra 48 de desaprovação e avaliação negativa de 38 superando a positiva de 34. Ou seja: um presidente eleitoralmente forte sentado sobre um governo socialmente reprovado. Historicamente, essa combinação não envelhece bem.
A fotografia é legítima, o campo foi bem feito, os números são esses. Minha briga não é com a foto. É com a moldura, com a legenda e, principalmente, com as partes da foto que cortaram antes de mostrar para você. Vamos a elas.
1. The debate over the Strait of Hormuz chokepoint is stuck in economic metrics. Analysts are obsessed with volume, counting lost barrels. But as a historian, I argue they are missing the real geopolitical currency of a crisis: Strategic Duration. 🧵
2. The @Kpler data is indeed brutal. Gulf crude exports are still running at 10–20% of pre-crisis volumes.
@Kpler 3. However, the shadow fleet the @FT has been documenting - dark transits, ship-to-ship transfers, vessels hugging the Omani coast - isn't restoring normality. It's preventing collapse and buying time. ft.com/content/314501…
Ukraine is in its strongest strategic position since late 2022.
With Russia's offensive stalled by heavy losses, Ukraine has a vital 6–9 month window to build momentum and compel peace negotiations from a position of strength.
🧵 1/10
With Russia's offensive stalled by heavy losses, Ukraine has a vital 6–9 month window to build momentum and compel peace negotiations from a position of strength.
🧵 1/10
2/10
3/10
Six weeks ago I told you they were coming for Big Bend. Yesterday a court cleared the way for border wall construction in the Big Bend National Park region.
Here's what makes this so enraging:
Big Bend National Park is one of the quietest stretches of the entire southern border. In FY2025, the Big Bend sector recorded just 3,096 apprehensions — 1.3% of all crossings nationwide. Border encounters there have dropped 74% since 2023. The land is remote, rugged, and brutal. It has always been its own deterrent.
And yet — a 30-foot steel wall is coming anyway.
What that wall will actually do: fragment critical habitat for black bears, mountain lions, and the endangered black-capped vireo. Sever one of the last wildlife corridors connecting the U.S. and Mexican Chihuahuan Desert — an ecosystem that doesn't recognize borders.
Block the natural movement of over 450 bird species that pass through Big Bend. Flood one of the darkest night skies in North America with construction lights. Slice through 100+ miles of the Wild and Scenic Rio Grande.
To stop 1.3% of border crossings. On land that was already stopping them on its own.
The administration has now waived the Endangered Species Act, the National Park Service Organic Act, and the Wild and Scenic Rivers Act — all at once — to make this happen. The first time in U.S. history any of that has been done inside a national park.
They awarded $4.3 billion in contracts. Steel bollards are already on the ground near Van Horn. Construction starts this summer.
Who do YOU think this wall is actually for?
#DemsUnited
Here's what makes this so enraging:
Big Bend National Park is one of the quietest stretches of the entire southern border. In FY2025, the Big Bend sector recorded just 3,096 apprehensions — 1.3% of all crossings nationwide. Border encounters there have dropped 74% since 2023. The land is remote, rugged, and brutal. It has always been its own deterrent.
And yet — a 30-foot steel wall is coming anyway.
What that wall will actually do: fragment critical habitat for black bears, mountain lions, and the endangered black-capped vireo. Sever one of the last wildlife corridors connecting the U.S. and Mexican Chihuahuan Desert — an ecosystem that doesn't recognize borders.
Block the natural movement of over 450 bird species that pass through Big Bend. Flood one of the darkest night skies in North America with construction lights. Slice through 100+ miles of the Wild and Scenic Rio Grande.
To stop 1.3% of border crossings. On land that was already stopping them on its own.
The administration has now waived the Endangered Species Act, the National Park Service Organic Act, and the Wild and Scenic Rivers Act — all at once — to make this happen. The first time in U.S. history any of that has been done inside a national park.
They awarded $4.3 billion in contracts. Steel bollards are already on the ground near Van Horn. Construction starts this summer.
Who do YOU think this wall is actually for?
#DemsUnited
→ The vote that just killed Big Bend's last legislative shield — and what it means for the park, the river, and everyone who fought to protect them. The Texas Tribune has the full breakdown of how each rep voted and what comes next:
texastribune.org/2026/06/10/tex…
texastribune.org/2026/06/10/tex…
→ Steel bollards are already arriving. Workers' housing camps are going up. Construction is weeks away — not years. Marfa Public Radio was on the ground to document it, and what they found will stop you cold:
marfapublicradio.org/news/2026-06-0…
marfapublicradio.org/news/2026-06-0…
🧵The SpaceX IPO isn’t overpriced. The future is underpriced.
Fourteen years ago, Facebook’s IPO was mocked as a failure. I called it a Strong Buy. Those who listened made a fortune.
SpaceX is the same story — only much, much bigger. It's the East India Company all over again.🧵
Fourteen years ago, Facebook’s IPO was mocked as a failure. I called it a Strong Buy. Those who listened made a fortune.
SpaceX is the same story — only much, much bigger. It's the East India Company all over again.🧵
2/ Facebook dominated the social graph. SpaceX is organizing the economic graph of a multiplanetary civilization, and remaking intercontinental transport at the same time.
It launches ~85%+ of the whole world's payload mass to orbit. Starlink connects the planet. Starship slashes costs 95% and enables orbital data centers, lunar industry, Martian cities, point-to-point Earth transport, and military logistics at unprecedented speed.
It launches ~85%+ of the whole world's payload mass to orbit. Starlink connects the planet. Starship slashes costs 95% and enables orbital data centers, lunar industry, Martian cities, point-to-point Earth transport, and military logistics at unprecedented speed.
3/ Wall Street will obsess over today’s revenue and tomorrow’s capex. That misses the point entirely.
SpaceX isn’t just a launch company. It’s building the transportation layer for the Solar System — mass, energy, process, and value on a scale that echoes the opening of the New World in 1492.
At any reasonable IPO price, this is a generational bargain.
SpaceX isn’t just a launch company. It’s building the transportation layer for the Solar System — mass, energy, process, and value on a scale that echoes the opening of the New World in 1492.
At any reasonable IPO price, this is a generational bargain.
I would absolutely LOVE dirty cops like these 2 🤤😍
@ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella
@ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella #SurreyRCMP #surreyps #LangleyRCMP #BCRCMP #RCMP #Police #Cops #Canada #BC #BritishColumbia #Langley #LangleyBC #Surrey #SurreyBC #GAWDIWANTAMALECOPSEXUALLY🤤
Last night, multiple Ukrainian 🇺🇦 units hit the bridges leading to Crimea, further isolating the peninsula from the land bridge to Russia 🇷🇺
At the same time, strike campaign continues on multiple key roads, with over 375 vehicles and trucks hit since early May.
🧵THREAD🧵1/13 ⬇️
At the same time, strike campaign continues on multiple key roads, with over 375 vehicles and trucks hit since early May.
🧵THREAD🧵1/13 ⬇️
Crimea is connected with southern occupied Ukraine by multiple key bridges.
The one in Chonhar was hit few days ago by multiple drones, which forced the russians to put up a pontoon bridge for their road traffic.
The one in Chonhar was hit few days ago by multiple drones, which forced the russians to put up a pontoon bridge for their road traffic.
At least 3 bridges have been recently hit. The one in Henichesk, the ones in Armyansk and in Stavky.
As we can see on the video, these strikes are putting holes in the middle of those key bridges. Any consolidation attempt will probably be hit.
As we can see on the video, these strikes are putting holes in the middle of those key bridges. Any consolidation attempt will probably be hit.
A short thread 🧵 of quotes from St. Severus of Antioch on theoria and the Uncreated Light of the Trinity:
“'If the eye of the mind (tar'ithâ) is purified and if it takes pleasure in upper theoria and in the entirely divine revelations... this happiness will pass into the bones and penetrate there as a perfume',”
— St Severus of Antioch, Homily LXVIII.
1/8.
“'If the eye of the mind (tar'ithâ) is purified and if it takes pleasure in upper theoria and in the entirely divine revelations... this happiness will pass into the bones and penetrate there as a perfume',”
— St Severus of Antioch, Homily LXVIII.
1/8.
In his Homily 72, St. Severus states that the angels’ task is to praise God and carry out his commands swiftly.
They are able to do this because they partake of the uncreated and essential Light of the Holy Trinity and are illuminated by it and have the strength suited for their missions.
This is also the explanation that should be given for bilocation, intercession of the saints, spiritual visions and other such activities.
2/8.
They are able to do this because they partake of the uncreated and essential Light of the Holy Trinity and are illuminated by it and have the strength suited for their missions.
This is also the explanation that should be given for bilocation, intercession of the saints, spiritual visions and other such activities.
2/8.
Satan and the fellow ministers who rebelled with him (although created good by God) fell into rebellion precisely because they shut their spiritual eyes from the contemplation (theoria) of the “primal and essential light” of the Trinity. Hence, they were filled with darkness and became capable of all malice.
3/8.
3/8.
THREAD: Sunday night is UFC Fight Night at the White House. Most of the good fighters dropped out, but fortunately some brave members of the Trump Administration are stepping up into the Octagon. Here are the cards:
Marco vs JD: Two cabinet members, two hopefuls for 2028, but only one of them can make Daddy Trump proud in the Octagon. Here are the numbers for tonight’s first matchup between Marco Rubio and JD Vance.
Massie vs Pedophile Protectors: In this lopsided matchup, everyone’s rooting for the underdog. Thomas Massie once again takes on his own party after a brutal defeat in the Kentucky primaries, and this time he’s out for revenge.
MW is short $ENSG. We believe Ensign rents Administrator licenses at est. ~20% of its SNFs to deceive CMS & the states. We estimate compliance alone cuts 2027 EBIT ~35% vs consensus & slows growth from ~11% to ~2%. FCA exposure possibly in Billions of $. Report link follows
How it works: an unlicensed "Ops Manager" runs the SNF; a "Paper Administrator" paid ~$2K/mo + $600/visit shows for inspections. Ex $ENSG Admin: "State just showed up... they put on a show of 'I'm the Administrator.'" muddywatersresearch.com/research/2026/…
We obtained the consulting agreement $ENSG apparently uses to rent licenses: $2,000/month + $600 per site visit - ~$24K/yr. PACS pays real full-time Administrators $120K-$140K. Nobody actually runs a SNF for $24K. muddywatersresearch.com/research/2026/…
34 American sailors were killed and 171 wounded when the USS Liberty was attacked in international waters on June 8, 1967. Yet most Americans don't know this story.
This week @RepThomasMassie decided to change that during a rare floor speech in the House of Representatives on the 59th anniversary of the attack.
He called for a new congressional investigation and mentioned the testimony from survivors who have spent decades asking what really happened that day.
This week @RepThomasMassie decided to change that during a rare floor speech in the House of Representatives on the 59th anniversary of the attack.
He called for a new congressional investigation and mentioned the testimony from survivors who have spent decades asking what really happened that day.
For those who don't know the history, the USS Liberty was an American intelligence ship operating in international waters during the Six Day War on June 8, 1967. Israeli fighter jets and torpedo boats attacked the vessel with machine gun fire, torpedoes, and even napalm.
The attack left over 34 Americans dead and 171 more wounded.
Israel has long maintained that the attack was simply a tragic case of mistaken identity. This week @RepThomasMassie noted these details during his rare floor speech in the House of Representatives.
The attack left over 34 Americans dead and 171 more wounded.
Israel has long maintained that the attack was simply a tragic case of mistaken identity. This week @RepThomasMassie noted these details during his rare floor speech in the House of Representatives.
Multiple US investigations accepted Israel's explanation of the attack on the USS Liberty. And to this day, that remains the official position of the US government.
But this week @RepThomasMassie didn't just call for a new investigation. He directly challenged the official version of events, arguing that what happened to the USS Liberty was not a case of mistaken identity.
Massie pointed to testimony from survivors who say the ship was clearly identifiable as an American vessel...
But this week @RepThomasMassie didn't just call for a new investigation. He directly challenged the official version of events, arguing that what happened to the USS Liberty was not a case of mistaken identity.
Massie pointed to testimony from survivors who say the ship was clearly identifiable as an American vessel...
US$ 1 trilhão por ano. É quanto 5 empresas vão gastar em IA em 2027.
Pra justificar esse investimento, a produtividade do setor precisa quase triplicar.
Se triplicar, é a maior revolução desde a eletricidade.
Se não triplicar, é a maior destruição de valor da história do capitalismo.
Paper de Wharton fez as contas.
Pra justificar esse investimento, a produtividade do setor precisa quase triplicar.
Se triplicar, é a maior revolução desde a eletricidade.
Se não triplicar, é a maior destruição de valor da história do capitalismo.
Paper de Wharton fez as contas.
Amazon sozinha vai gastar US$ 200 bilhões este ano. Mais que o PIB do Equador.
Em 2022, as 5 maiores gastavam US$ 155 bi por ano em capex total — incluindo logística, escritórios e cloud pré-IA.
Em 2027, a estimativa é US$ 1,09 trilhão. Só em IA.
Capex quintuplicou em 5 anos. Nenhuma indústria na história fez isso.
Em 2022, as 5 maiores gastavam US$ 155 bi por ano em capex total — incluindo logística, escritórios e cloud pré-IA.
Em 2027, a estimativa é US$ 1,09 trilhão. Só em IA.
Capex quintuplicou em 5 anos. Nenhuma indústria na história fez isso.
IA já consome 2,4% do PIB americano em investimento. Em 2027: 3,4%.
A bolha das telecoms nos anos 90 atingiu 1,5% do PIB no pico. IA já passou o dobro.
19% de todo investimento privado dos EUA vai pra infraestrutura de IA em 2027.
Sem esses gastos, o investimento corporativo em equipamentos teria sido NEGATIVO no Q4 de 2025. IA é o que mantém o PIB de pé.
A bolha das telecoms nos anos 90 atingiu 1,5% do PIB no pico. IA já passou o dobro.
19% de todo investimento privado dos EUA vai pra infraestrutura de IA em 2027.
Sem esses gastos, o investimento corporativo em equipamentos teria sido NEGATIVO no Q4 de 2025. IA é o que mantém o PIB de pé.
@Nncim15 Obsessed much LMFAO
@ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella
@ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella
@Nncim15 @ChrisPentecos @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella @threadreaderapp unroll @grok
@VernThurston @WaxMyBallsShow Get a life obsessive losers
@VernThurston @WaxMyBallsShow @ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @WaxMyBallsShow @FranLa9 @kfurneaux23 @Opiumbrella
@VernThurston @WaxMyBallsShow @ChrisPentecos @Nncim15 @Ilovecanada13 @HarperMonste @BarbaraDoduk @RegretlessBee @Cdnwatcher @Istandtoreason @facepalmchris @trustednerd @MalaMoragain13 @felixcruggins @CultureGuard @FranLa9 @kfurneaux23 @Opiumbrella @threadreaderapp unroll @grok