Recent well liked threads
- Lemah Layat
Horror Story-
@bacahorror #bacahorror
Horror Story-
@bacahorror #bacahorror
@bacahorror Riuh.
suara motor dan angkot bersahut-sahutan, tidak ada yg mau mengalah, dari kursi penumpang angkot biru laut, dua lelaki paruh baya menatap jalanan, ekspresi wajah mereka khawatir. "jancuk" sahut salah seorang dari mereka, "isok telat iki" (bisa terlambat ini)
suara motor dan angkot bersahut-sahutan, tidak ada yg mau mengalah, dari kursi penumpang angkot biru laut, dua lelaki paruh baya menatap jalanan, ekspresi wajah mereka khawatir. "jancuk" sahut salah seorang dari mereka, "isok telat iki" (bisa terlambat ini)
@bacahorror lelaki yg satunya menoleh, ia mengkerutkan dahi, menatap kawannya, "mbok pikir koen tok sing gopoh" (kamu kira, cuma kamu seorang yg khawatir)
"halah" "wes mlayu ae, gak nutut iki nek nuruti ngene iki" (lari saja yuk, gak sempat ini kalau kita nungguin ini)
mereka sepakat,
"halah" "wes mlayu ae, gak nutut iki nek nuruti ngene iki" (lari saja yuk, gak sempat ini kalau kita nungguin ini)
mereka sepakat,
🚨Hearing in about 15 minutes before Senate Judiciary Committee on rogue judges. 1/
My take from the video is that the officer did not believe the driver would go from reverse to drive and then to step on the gas to hit him. If he thought that was the plan, he would have pulled gun out while she was still reverse OR maybe would have done what Smith suggests. 1/
2/ That's the thing with fluid, split-second, life-and-death decisions law enforcement officers must make. It's easy to say in retrospect, why not move out of the ways so she won't hit you & shoot tires knowing how things ended, but she was driving in reverse when agent
3/ approached from front without gun drawn. Things changed in split second when she put in drive & accelerated at and then hit ICE agent. ICE agent wasn't merely legally justified, but he lacked time to make a different choice, even if earlier he might have made different choice
A Russian blogger explains that thermal cameras are now the primary sensor on the Ukrainian battlefield.
“Modern warfare has completely shifted from the visual plane to the thermal one.
1/
“Modern warfare has completely shifted from the visual plane to the thermal one.
1/
“The experience of the Special Military Operation (SMO) has shown in practice that the battlefield today is controlled not by a soldier's eyes, but by the matrix of a thermal imager installed on a drone, which can hover over an area for days…
2/
2/
“…and transmit images directly to the targeting system. Any position where there are people, equipment, batteries, generators, or simply life emits heat, and sooner or later it will be detected.
3/
3/
This is Tehran. Let that sink in. You are watching a revolution unfold live while the world’s media stays dead silent. Legacy media has become nothing more than a propaganda machine, because what news could possibly be bigger than this?
@FoxNews @CNN
@FoxNews @CNN
@elonmusk @BillAckman @billmaher
Breaking: Two people have just been shot by Border Patrol during an immigration operation in Portland, Ore. Anti-ICE accounts have circulated screenshots alleging that a 911 dispatcher leaked to them information about a call for police assistance.
The call log also shows a 911 call from Border Patrol stated that a husband and wife who were shot almost ran the agent(s) over. ABC News is reporting that the shooting occurred near East Burnside and 141st Avenue.
The call log also shows a 911 call from Border Patrol stated that a husband and wife who were shot almost ran the agent(s) over. ABC News is reporting that the shooting occurred near East Burnside and 141st Avenue.
Developing information about the DHS-involved shooting in Portland, Ore. of a man and woman.
Around 2:18 p.m., Portland Police were alerted to a call by a man who said he was shot. The man drove from a medical center parking lot, where the shooting occurred, to 146th and East Burnside. Police responded and called for first responders, who took the two injured to a hospital.
A 911 call log shows Border Patrol called police and reported that the couple attempted to run over the agents. That information isn't being reported by the media or leftist activists who are agitating violence.
Around 2:18 p.m., Portland Police were alerted to a call by a man who said he was shot. The man drove from a medical center parking lot, where the shooting occurred, to 146th and East Burnside. Police responded and called for first responders, who took the two injured to a hospital.
A 911 call log shows Border Patrol called police and reported that the couple attempted to run over the agents. That information isn't being reported by the media or leftist activists who are agitating violence.
Portland @MayorKWilson has released a statement about the Border Patrol-involved shooting in Portland. A man and woman reported being shot after fleeing from a scene. A 911 call log shows Border Patrol reported being nearly run over by a pickup truck when they fired rounds. The mayor refers to only the injured as "victims." He urges Portlanders to "show up with calm and purpose."
I study authoritarianism for a living, so I do not say this lightly: America isn't facing an authoritarian future. America is living an authoritarian present.
(A long 🧵)
/1
(A long 🧵)
/1
Hollywood would have us believe that authoritarianism wins when Voldemort takes over Hogwarts or Sauron conquers Gondor. But that's wrong. There are no pitched battles between good and evil. Democracy dies in banality and plain daylight, not glory and darkness.
/2
/2
Power is a process, not a thing someone holds. Authoritarian power is thus a process in which we decide not to defend ourselves -- because it's risky, uncertain, or just inconvenient.
Authoritarianism wins every day citizens decide not to fight. To wait. To watch.
/3
Authoritarianism wins every day citizens decide not to fight. To wait. To watch.
/3
1/ Code blue. The patient is 30 weeks pregnant. 🤰 Does ACLS change for pregnant patients? This thread will cover the 2025 AHA ACLS guidelines for pregnancy, highlighting the updates and what remains unchanged.
2/ High-quality CPR does not change!
~Continuous compressions (100-120 compressions/minute)
~Minimize interruptions
~Prioritize early advanced airway (1 breath every six seconds)
⚡ Utilize a defibrillator when indicated
~Continuous compressions (100-120 compressions/minute)
~Minimize interruptions
~Prioritize early advanced airway (1 breath every six seconds)
⚡ Utilize a defibrillator when indicated
3/ Lying flat isn’t harmless in pregnancy. Aortocaval compression can occur when the gravid uterus compresses on the inferior vena cava (IVC). Manual left uterine displacement (LUD) is now the standard in maternal ACLS.
Seeing how silent the Irish left is on the Iranian protests, I can't help recall when they tried to compare Ireland's history with that of the Islamic Republic
@ElmaRyder at a reception commmorating 40 years since the Iranian Revolution no less
If Google wants you to pay for Gmail storage, do this first.
I went from 14.9/15GB to 6GB in one afternoon.
I hope this helps you as it has helped me:
I went from 14.9/15GB to 6GB in one afternoon.
I hope this helps you as it has helped me:
1. Find the real storage hogs inside Gmail
Go to your Gmail storage breakdown first:
- Visit drive.google.com/settings/stora…
- Check what's using space across Gmail, Drive, and Photos
- Click on "Gmail" to see your biggest culprits
Then in Gmail search bar, type:
- `has:attachment larger:10M` (finds emails over 10MB)
- Sort by size, select multiple, and delete what you don't need
- Try `larger:5M` or `larger:3M` for a more aggressive cleanup
Just clearing big attachments can free gigabytes instantly.
(FOLLOW ME FOR MORE LIKE THIS)
Go to your Gmail storage breakdown first:
- Visit drive.google.com/settings/stora…
- Check what's using space across Gmail, Drive, and Photos
- Click on "Gmail" to see your biggest culprits
Then in Gmail search bar, type:
- `has:attachment larger:10M` (finds emails over 10MB)
- Sort by size, select multiple, and delete what you don't need
- Try `larger:5M` or `larger:3M` for a more aggressive cleanup
Just clearing big attachments can free gigabytes instantly.
(FOLLOW ME FOR MORE LIKE THIS)
2. Nuke entire categories in bulk
Gmail sorts emails automatically use this to delete fast:
- Search: `category:promotions` (all promo emails)
- Search: `category:social` (Facebook, LinkedIn notifications)
- Search: `category:updates` (receipts, confirmations)
- Click the checkbox → "Select all conversations that match this search"
- Delete in one shot
These categories pile up over years most are safe to delete.
Gmail sorts emails automatically use this to delete fast:
- Search: `category:promotions` (all promo emails)
- Search: `category:social` (Facebook, LinkedIn notifications)
- Search: `category:updates` (receipts, confirmations)
- Click the checkbox → "Select all conversations that match this search"
- Delete in one shot
These categories pile up over years most are safe to delete.
If leg day feels heavy, tight, or cranky… It’s not your strength.
It’s your warm up and stretches.
This is how I warm up and stretch so leg day doesn’t steal my next two days….
1: Toe touch to squats
This is your wake-up call.
Hamstrings lengthen, hips load, spine moves. You’re teaching your body to bend without panicking.
It’s your warm up and stretches.
This is how I warm up and stretch so leg day doesn’t steal my next two days….
1: Toe touch to squats
This is your wake-up call.
Hamstrings lengthen, hips load, spine moves. You’re teaching your body to bend without panicking.
2: Squats + knee bends
Easy reps, full control.
Lubricates knees, ankles, hips.
Easy reps, full control.
Lubricates knees, ankles, hips.
3: Cossack squat
Side to side strength + mobility.
One hip works, the other opens.
If you skip this, one leg will always do more work than the other.
Side to side strength + mobility.
One hip works, the other opens.
If you skip this, one leg will always do more work than the other.
Have you ever read a book by an author that was so good it made you want to read everything else they've written?
Starting with me, the book was Steve Jobs by Walter Isaacson. Next, I bought all his other books and read it: Einstein, Leonardo da Vinci, The Innovators, and Benjamin Franklin.
He is among my favorite authors and loved reading his books.
He is among my favorite authors and loved reading his books.
Subscribe to my weekly newsletter “Learn, Unlearn and Relearn” on reading and learning:
readswithravi.beehiiv.com/subscribe
readswithravi.beehiiv.com/subscribe
Sans cette entreprise japonaise de nouilles, TSMC ne peut pas assembler une seule puce Nvidia. 🍜
Elle fait des nouilles, mais elle détient aussi +95% du marché mondial d'un matériau critique pour les puces IA.
Bienvenue dans l'histoire d'Ajinomoto.
(1/11) 🧵
Elle fait des nouilles, mais elle détient aussi +95% du marché mondial d'un matériau critique pour les puces IA.
Bienvenue dans l'histoire d'Ajinomoto.
(1/11) 🧵
L'histoire commence en 1908.
Un professeur de Tokyo découvre pourquoi la soupe aux algues de sa femme est bonne. Il isole une molécule : le glutamate.
En 1909, il crée Ajinomoto. "L'essence du goût".
Aujourd'hui, c'est le plus grand producteur mondial de glutamate.
(2/11)
Un professeur de Tokyo découvre pourquoi la soupe aux algues de sa femme est bonne. Il isole une molécule : le glutamate.
En 1909, il crée Ajinomoto. "L'essence du goût".
Aujourd'hui, c'est le plus grand producteur mondial de glutamate.
(2/11)
Dans les années 1970, Ajinomoto cherche à recycler ses sous-produits.
Ils découvrent que certains composés issus des acides aminés ont d'excellentes propriétés isolantes.
Isolantes = empêcher l'électricité de passer là où elle ne doit pas.
Le début d'une aventure inattendue.
(3/11)
Ils découvrent que certains composés issus des acides aminés ont d'excellentes propriétés isolantes.
Isolantes = empêcher l'électricité de passer là où elle ne doit pas.
Le début d'une aventure inattendue.
(3/11)
Predicting cell state in previously unseen conditions such as disease or in response to a drug has typically required retraining for each new biological context. Today, Arc is releasing Stack, a foundation model that learns to simulate cell state under novel conditions directly at inference time, no fine-tuning required.
Stack captures something that most models miss: cellular context. A T cell in inflamed tissue behaves differently, not just because of its own genes, but because of its environment. Stack processes cells together & learns from those relationships.
Just as text prompts guide language models, cells serve as prompts in Stack. It can observe drug-treated immune cells & predict how epithelial cells would respond to the same drug, a task never explicitly trained for. It's the first single-cell foundation model capable of in-context learning, or generalizing to new tasks during inference.
insane
This new paper is basically saying
Cells can now be "prompted" like LLMs.
STACK is a foundation model for biology trained on 149 million human single cells.
Instead of treating each cell in isolation, it understands cells in context, like how tokens make sense inside a sentence. At inference time, cells teach the model how to think about new cells.
Why this is a big deal
Most single cell models = "Here’s one cell, guess what it is."
STACK = "Here’s a whole neighborhood of cells, now predict what happens if I perturb them."
It can:
Learn new biological conditions on the fly
Predict effects of chemical perturbations
Generalize across donors, tissues, and diseases
Work zero shot, straight out of the box
This is in context learning, but for human biology.👀
The insane part - They used it to create Perturb Sapiens:
First whole human atlas of perturbed cells
28 tissues
40 cell classes
201 perturbations
That’s a simulation layer for the human body. This is how biological world models begin.
This is huge bio/acc
This new paper is basically saying
Cells can now be "prompted" like LLMs.
STACK is a foundation model for biology trained on 149 million human single cells.
Instead of treating each cell in isolation, it understands cells in context, like how tokens make sense inside a sentence. At inference time, cells teach the model how to think about new cells.
Why this is a big deal
Most single cell models = "Here’s one cell, guess what it is."
STACK = "Here’s a whole neighborhood of cells, now predict what happens if I perturb them."
It can:
Learn new biological conditions on the fly
Predict effects of chemical perturbations
Generalize across donors, tissues, and diseases
Work zero shot, straight out of the box
This is in context learning, but for human biology.👀
The insane part - They used it to create Perturb Sapiens:
First whole human atlas of perturbed cells
28 tissues
40 cell classes
201 perturbations
That’s a simulation layer for the human body. This is how biological world models begin.
This is huge bio/acc
digital human is nearer