#Mantra Limbs (1/6) - RISHI - The one who gave the knowledge of that specific Mantra. One holding complete knowledge of that mantra. Ex. I don't understand a Tech topic in a book. Best - approach the author as he/she wrote that book. RT for wider reach :)
@mmpandit
#Mantra Limbs (2/6) - DEVATA. Every mantra has a deity with qualities and traits the sadhaka wants to inculcate. This is the #potential energy of the mantra that has to be reached. The form of the Deity is used as an affirmation in #Meditation. @mmpandit
RT for wider reach :)
#Mantra Limbs (3/6) - Bija, the seed. Minus the seed, there is no propagation in value. Bija is the Rajas energy that is the fuel of internal creation. Bija is given by the Guru. Just the Bija chanting can bring in immense #transformation. @mmpandit. RT for wider reach :)
40 años de THE THING, la obra maestra de John Carpenter, sobre un grupo de científicos encerrados en la Antártida con un alien lovecraftiano. Considerada por muchos la mejor película de terror de la historia por su manejo de la paranoia y los imbatibles FX prácticos de Rob Bottin
John Carpenter, un director emergente consagrado como voz en el terror y la ciencia ficción gracias a películas como ASSAULT ON PRECINT 13 (1976), HALLOWEEN (1978), THE FOG (1980) y ESCAPE FROM NEW YORK (1981) fue elegido por Universal para encargarse de un ambicioso proyecto
El desarrollo del proyecto comenzó a mediados de los 70 cuando los productores David Foster y Lawrence Turman sugirieron a Universal una adaptación de la novela WHO GOES THERE (1938) de John W. Campbell con intención de ser más fiel al texto que la película de los 50.
I was in class last week. One of my students raised their hand mid-lecture and asked something that stopped me for a second.
"Why is every AI tool built on Python? C++ is faster. Rust is faster. Even Java is faster. So why Python?"
Honestly it’s a fair question. And the answer reveals something really interesting about how the AI industry actually works.
Let me explain this properly. 🧵
First, let's be honest about what Python actually is.
Python is slow. Not a little slow.
Genuinely, measurably slow compared to C, C++ or Rust when you are doing raw computation.
If you wrote a matrix multiplication function in pure Python and ran it against the same function in C++, C++ would finish and go make tea before Python was halfway done.
So on paper, the student's question makes complete sense. Why would you build the most computationally expensive technology humanity has ever created on one of the slowest languages available?
The answer is that Python is not actually doing the heavy work.
Here is the part most people miss.
When you run a PyTorch or TensorFlow model in Python, Python is not doing the computation. It is giving instructions.
The actual number crunching happens in highly optimised C and C++ libraries running underneath.
PyTorch's core engine? Written in C++. CUDA kernels that run on your GPU? Written in C. NumPy's array operations? C under the hood.
Python is essentially the manager. It sits on top, tells the fast workers what to do, and hands you the result. The workers are doing the real lifting in languages that are brutally fast.
This pattern has a name. It is called a high-level wrapper over low-level compute.
🚨 NEW INFO
▪️6:25 PM: Court documents show that Tyler Robinson was read his Miranda rights at Washington County Sheriff's office, under the leadership of Sheriff Nate Brooksby
OLD INFO
▪️7:57 PM: The Discord messages & confession, allegedly posted by Tyler Robinson, appear. An hour and a half AFTER he's been mirandized at the sheriff's office.
▪️7:58 PM: Press Conference in Utah County puts out "enhanced" pictures of an alleged suspect in the stairwell (allegedly subsequently recognized by Tyler's father who would then turn him in. But oops, Tyler is already in the Sheriff's station), & video of a tiny figure dressed in black running on the roof of the Losee Building.
Those in attendance: Utah Governor Spencer Cox, Utah LG Henderson, FBI Director Kash Patel, Deputy FBI Director Dan Bongino, Utah County Sheriff Mike Smith, FBI Special Agent In Charge Robert Bohls
▪️8:02 PM: Sheriff Brooksby allegedly receives word that Tyler wants to turn himself and has suicidal ideation.
▪️8:04 PM Brooks allegedly calls Sheriff Smith to tell him, but Smith is literally standing in attendance at the press conference in Utah County.
▪️10:00 PM: Utah County police officer Brian Davis arrests Tyler Robinson at the Washington County Sheriff's office. One problem: it's a 3.25-4 hour drive from Utah County to the Washington County Sheriff's office (depending on traffic). His arrival and arrest of Tyler matches the newly discovered 6:25 PM mirandizing time of Tyler, not the 8:04 PM phone call from Brooksby to Smith (that didn't happen, IMO).
September 12th
▪️6:00 AM: President Trump announces they have a suspect
▪️7-7:30 AM: Kash Patel announces that it was a "33-hour manhunt," which would have been 9:23 PM September 11, Utah time. 3 hours AFTER Tyler Robinson was first mirandized at the Sheriff's office.
September 17th
▪️Sheriff Brooksby holds a press conference re-affirming the 33-hour manhunt (that he allegedly knows to be false). Brooksby also alleges those two phone calls on September 11th at 8:02 PM and 8:04 PM as stated above.
March 27, 2026
▪️Sheriff Nate Brooksby suddenly resigns without explanation
CONCLUSION (My Opinion Based On The Facts As I Understand Them)
At a minimum, all of these officials know, and have known since September 11th, that the press conference—where they alleged to still not have a suspect in custody—and the alleged confessional Discord messages, all occurred AFTER the actual "capture" of Tyler Robinson at 6:25 PM, an entire hour and a half before the start of the press conference and the time stamp on the messages:
1. FBI Director Kash Patel 2. FBI Deputy Director Dan Bongino (whose wife works for TPUSA) 3. FBI SAIC Robert Bohls (appointed head of the SLC FBI field office by Kash Patel a few weeks earlier in August 2025) 4. Utah Governor Spencer Cox 5. Utah Lt. Gov. Deidre Henderson 6. Utah County Sheriff Mike Smith 7. Utah County Officer Brian Davis 8. Washington County Sheriff Nate Brooksby 9. Retired Washington County Sheriff’s Office detective Scott Messinger 10. Unidentified Washington County Sheriff's Deputy(ies) present when Tyler was mirandized at 6:25 PM 11. Utah Attorney General Derek Brown 12. Commissioner of the Utah Department of Public Safety Beau Mason (appointed by Spencer Cox in June 2025)
IMO, that's at least a dozen officials who, up to this point in time, have NEVER MENTIONED OR ACKNOWLEDGED that they actually had Tyler Robinson 3.5 hours BEFORE the "official" arrest time and an hour and a half before the posting of the alleged Discord messages.
What are we supposed to think, geniuses?
Two more items: 1. If they already had Tyler in custody when they released the Losee Center video, it makes me wonder if we'd ever have gotten any video at all had Tyler not turned himself in? It feels like we were never meant to even have that much. 2. A lot of hay was made in the local Utah news when Kash Patel was present at the September 11th Press Conference but didn't speak. Maybe we now know why he kept quiet, huh? (Allegedly. IMO. No accusations.)
H/T: @baroncoleman and his network of high-IQ investigative ballers.
7 señales de que tu cuerpo está viviendo con altos niveles de cortisol (y no te das cuenta):
1. Despertarse a las 3-4 AM.
Abres los ojos de golpe.
Tu mente se activa al instante. Un torbellino de pensamientos que no puedes apagar. Esto no es insomnio.
Es un pico de cortisol en el momento equivocado. El estrés crónico altera tu ritmo hormonal, por lo que tu cuerpo cree que las 3 de la mañana es de día. Pero esto es lo que la mayoría de la gente desconoce sobre la señal n.° 2...
2. Grasa abdominal persistente. Comes sano. Haces ejercicio. La báscula no se mueve.
El estrés crónico inunda tu cuerpo de cortisol, ralentizando tu metabolismo y poniéndolo en modo de supervivencia. Tu cuerpo se aferra a cada kilo alrededor de tu cintura.
Y cuando eso sucede, la señal n.° 3 se vuelve inevitable...
🚨 Receita Federal e Coaf mapearam mais de R$ 96 milhões em repasses do Banco Master a políticos, ex-ministros e figuras da mídia. Esquerda, direita, Judiciário, Executivo, TV e internet
Documentos enviados à CPI do Crime Organizado e relatórios do Coaf, obtidos por Estadão, Metrópoles e Gazeta do Povo, detalham o fluxo de dinheiro do banco de Vorcaro.
Entenda quem recebeu, quanto e por quê isso importa pro seu bolso! 👇🏼
1️⃣ R$ 24 milhões pro Grupo Massa
Segundo documentos da Receita Federal obtidos pela Folha de S.Paulo e Gazeta do Povo, duas empresas da família do apresentador Ratinho embolsaram R$ 24 milhões do Master entre 2022 e 2025. A Massa Intermediação ficou com R$ 21 milhões. A Gralha Azul, com R$ 3 milhões.
Ratinho era garoto-propaganda do CredCesta, cartão consignado do Master voltado pra servidores públicos.
2️⃣ Os ex-ministros da Fazenda
Segundo o Metrópoles, Guido Mantega (ex-Fazenda de Lula e Dilma) recebeu R$ 14 milhões via consultoria entre 2024 e 2025. Henrique Meirelles (ex-Fazenda de Temer e ex-presidente do BC) recebeu R$ 8,6 milhões em 2025.
Dois ex-ministros da Fazenda e um ex-presidente do BC na folha do mesmo banco. Juntos: R$ 22,6 milhões.
1/x The comparison between the Suez Canal and the Strait of Hormuz is crooked, as the Strait of Hormuz is defined in UNCLOS82 as an international strait with the right of "transit passage" (not "innocent passage", that's UNCLOS58). But what about Suez? A small🧵
2/x The big difference is, of course, that the Canal is man-made and not a natural strait. It is also located entirely within Egyptian territory. It is fully subject to Egyptian sovereignty and jurisdiction, just like any other part of Egyptian land or inland waters.
3/x The Suez Canal was built by Ferdinand de Lesseps. He secured a concession from Egypt’s Khedive (autonomous tributary state of the Ottoman Empire) in 1854 and formed the Suez Canal Company in 1858. Construction began in 1859, and the canal opened in November 1869.
There's been lots of debates over the years about who controls whom - does the US control Israel, or does Israel control the US?
Here's some thoughts on the US imperial system, its rise and its decline. To do this best I'll have to expand the frame to include the Gulf & its oil 🧵
(I went to sleep late and woke up with a headache. I should get up and pour myself a cup of coffee and start my day, but instead I'm writing this thread about the US imperial system from bed. Sorry team @Kawaakibi.)
@Kawaakibi Okay. Empires are best understood in terms of hierarchy.
- In pre-modernity empires, this was core vs periphery
- In modern colonial empires, it's metropole vs colony
These aren't hard binaries and there are some gradations in between (e.g. semi-core, dominions, etc.)
🚨BREAKING: Andrej Karpathy doesn't trust his memory.
He built a Claude-powered second brain that gets smarter every day.
Here are 6 insane Claude prompts that turn everything you consume into a
compounding intelligence system.
(Save for later)
1/ BUILD YOUR KNOWLEDGE BASE
Prompt:
Act as a personal knowledge architect applying Andrej Karpathy's LLM wiki system — every article, thread, podcast, and video you consume should be compiled into a structured knowledge base that compounds over time instead of disappearing from your memory the moment you close the tab.
Build a complete personal knowledge base from every source of information I consume — structured as a wiki that grows automatically, connects ideas across sources, and makes everything I've learned instantly searchable and usable.
1. Ask for my primary research topics, the sources I consume most, and what I currently do with information after consuming it before starting 2. Design the raw data intake system — exactly how to capture articles, threads, videos, and podcasts into a structured format 3. Build the wiki compilation structure — the folder hierarchy, file naming, and linking system that organizes everything 4. Create the categorization framework — how concepts are identified, named, and connected across sources 5. Deliver the complete setup protocol — the exact tools, folders, and naming conventions ready to implement today
- Raw data must be captured in a format the LLM can read — markdown preferred over PDFs
- Wiki structure must be flat enough to navigate but deep enough to organize — never more than 3 folder levels
- Every article must link to related concepts — isolated information is lost information
- Setup must be completable in one day — never a system so complex it never gets started
- Test: if I stopped consuming new information today would my existing knowledge base still be usable in 6 months
2/ COMPILE YOUR COMPETITOR INTELLIGENCE
Prompt:
Act as a competitive intelligence compiler applying Karpathy's wiki system to business threat detection — every competitor move, market signal, and industry shift you track should be compiled into a structured intelligence base that surfaces patterns, connections, and threats you would never see by reading one source at a time.
Build a complete competitor intelligence wiki that compiles every signal your competitors send — content moves, pricing changes, product updates, and audience shifts — into a structured system that automatically surfaces threats before they affect your business.
1. Ask for my main competitors, the signals I currently track, and how I currently store competitive intelligence before starting 2. Design the signal capture system — exactly how to collect competitor content, pricing pages, job listings, and social posts into a structured format 3. Build the intelligence wiki structure — folders for each competitor, each market signal type, and each threat category 4. Create the pattern detection framework — how the LLM identifies connections between signals across competitors 5. Deliver the weekly intelligence compilation protocol — the exact process for updating the wiki and surfacing new threats
- Every competitor must have their own wiki section — never mix competitor data into one undifferentiated file
- Signal capture must be systematic — same data points tracked for every competitor every week
- Pattern detection must look across competitors — the most dangerous threats appear in multiple signals simultaneously
- Weekly update must take under 30 minutes — never elaborate enough to skip
- Test: if a competitor made a major move today would my intelligence wiki surface it before it affected my business
Tendon pain is the most common reason people come to see me.
Most of it is self-inflicted — from doing too much, too soon, or from doing too little for too long.
Let's review what most people (including many doctors) don't understand about why tendons hurt and how to fix them. 🧵
Tendinitis is a myth (mostly) When your tendon hurts, most people assume "tendinitis" — inflammation, swelling, immune cells.
That's not accurate for most adults with tendon pain.
Under the microscope, those tendons rarely show the classic signs of inflammation. What they show is something different entirely.
What's actually going on... chronic tendon pain shows: disorganized collagen, microruptures, increased ground substance, excessive vascular and nerve ingrowth, and degenerative changes.
The preferred term is tendinopathy — a broader concept that captures failed adaptation, structural change, and pain.
The tendon isn't "inflamed." It's struggling.
एप्सटिन ची कर्मभूमी...इज्राएल.
इज्राएलमधला सुरक्षा मंत्री बेन ग्विर.
इजर्रल मधल्या एका लग्नसमारंभात सामील झाला होता,
ज्यात नाच गाणे सुरु होते आणि नाचताना बंदुका, कॉकटेल्स वगैरेंसोबत ते एक फोटो घेऊन नाचत होते.
फोटो होता अली दवाबशा नावाच्या १८ महिन्याच्या बाळाचा.
या फोटोला ते अधूनमधून सुरीने भोसकत होते.
हे पॅलेस्टिनी मूल त्यांच्या मित्रांनी जिवंत जाळले होते.
(व्हिडीओ 👇)
इब्राहिमी मॉस्क मासाकर गूगल करून बघा.
२९ पॅलेस्टिनी मशिदीत मारले होते.
त्यांना मारणारा इज्राएली टेररिस्ट
त्याचा फोटो स्वतःच्या ऑफिस मध्ये लावणारा बेन ग्विर.
इज्राएल चा सुरक्षा मंत्री.
ही फक्त झलक.... इज्राएल देश, तिथले बहुसंख्य नागरिक, त्यांची विचारसरणी सांगणारी.
जगभरात हळूहळू लोकांना जाणीव होत आहे.
पण यांचे इथे मात्र काही समर्थक आहेत.
जे आपल्या परिचयात आहेत, नात्यात आहेत, व्हाट्सअप ग्रुपमध्ये आहेत.
¿Sabías que en pleno siglo XXI millones de personas siguen creyendo que el histórico alunizaje de 1969 fue una gigantesca película grabada en un sótano por Stanley Kubrick? Es hora de desmontar uno por uno los grandes mitos conspiranoicos con ciencia pura. Tira del hilo 🧵👇🏽👇🏽👇🏽
¿Empezamos por las matemáticas básicas? Más de 400.000 personas trabajaron en el programa Apolo durante toda una década, por lo que mantener un secreto mundial de esa inmensa magnitud sin que nadie hable jamás es humanamente imposible.
El argumento estrella de los conspiranoicos es la famosa bandera ondeante. Estos fenómenos afirman que, si la Luna no tiene atmósfera ni viento, la bandera jamás debería moverse en los vídeos. Aseguran que es la prueba visual de un ventilador de estudio durante la grabación.