“No man knows how bad he is till he has tried very hard to be good.” - C.S. Lewis.
Resisting temptation is the true test of strength, much like fighting against a powerful force. Only through resistance do we understand our true capabilities. #CSLewis
How continuous our civilisation is?
Here's a hint.
Kid : *swings his legs while sitting on a chair
His parents : Stop swinging your legs!
Āpastamba Dharmasūtra (~3rd century BCE) : One shouldn't swing legs.
Such a small detail has survived to this day.
[Sūtra 2.8.20.13]
People are now tricking Meta’s AI support assistant to gain access to other people’s Instagram accounts.
This is exactly why AI should never have the authority to make account recovery decisions.
For a century, it was considered reasonable for Western museums to keep ancient Indian artifacts in basements, to label Vedic astronomy as borrowed from the Greeks & to treat native oral histories as fairy tales. Their idea of a reasonable discussion is a 1 way lecture where they speak from a podium & the native population nods in silent agreement.
In the Anvikshiki (ancient Indian science of inquiry/logic), a debate is only considered complete through Purvapaksha (deeply studying the opponent's view) & Uttarapaksha (dismantling it with counter-evidence).
The pushback Miano is experiencing on X is Uttarapaksha in action. Regular citizens are tagging him with satellite imagery, excavation reports & genetic data from Rakhigarhi (which showed zero steppe pastoralist DNA in the Harappan individual, dealing a fatal blow to the Aryan invasion myth). He cannot counter the data, so he labels the platform "Low IQ" & retreats to a safer digital space.
Anthropic engineer:
"You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped."
In 22 minutes she builds the entire workflow live on camera.
Most people close their terminal and everything stops.
This setup keeps shipping while you sleep.
Watch the video, then save the exact setup below👇
ELON MUSK'S WARNING ABOUT CHATGPT AND GEMINI:
“I HAVE A CONCERN ABOUT THE MAJOR AI PROGRAMS.
THE TWO BIGGEST ONES ARE OBVIOUSLY GOOGLE GEMINI AND OPENAI.
MY CONCERN IS THAT THEY ARE NOT MAXIMALLY TRUTH-SEEKING.
THEY ARE PANDERING TO POLITICAL CORRECTNESS.
WITH XAI, OUR GOAL IS TO BE AS TRUTH-SEEKING AS POSSIBLE, EVEN IF IT’S UNPOPULAR.
THAT’S IMPORTANT, I THINK.”
Here's What you need to know about Audrey Truschke:
1. Her father-in-law & Husband had a business of missionary conversion in India.
2. Her FIL formed an NGO bless India with the motto "Win India for Christ"
3. Indian Govt has destroyed their family business of conversion.
Hot take:
People see Elon, Zuck, Gates, Altman, Karpathy and think -> they took risks, so I should too.
What they forget is that these people were absolute monsters at what they did long before they became famous.
The internet loves telling you about the risk but nobody talks about the skill.
My girlfriend called me at 2am crying. She had seen a photo on Instagram of me and another girl at a party.
She sent me the photo. I looked at it and I'm like, what? Only my nose looks like the guy in the photo! I keep telling her, “We're not the same person,” but she is not ready to accept it.
She then forwarded the photo to my friends asking them to confirm.
Even they were confused. Bro that really does look like you.
Now, at this point, the only hope I have is my last line of defense - a Cosine Similarity Test.
I know you guys are thinking, what the hell is this Cosine Similarity.
Cosine similarity is a mathematical way to measure how similar two things are by treating them as vectors in space. Think of it like measuring the angle between two arrows - the smaller the angle, the more similar they are.
In math, cosine similarity works like this:
cos(θ) = A·B / (|A| × |B|)
Where:
- A·B is the dot product of A and B.
- |A| and |B| are the magnitudes.
Understanding the Scale (-1 to 1):
- cos(0°) = 1 : Perfectly identical
- cos(45°) = 0.7 : Partially similar
- cos(90°) = 0 : No similarity at all
- cos(180°) = -1 : Complete opposites
Now let me prove to my girlfriend that the guy in the photo is not me. Let's say my facial features are Vector A and the guy in the photo is Vector B:
Vector A = [2, 4, 6, 8]
Vector B = [1, 2, 3, 4]
Step 1: Calculate Dot Product
Multiply each corresponding element and add them all up:
A·B = (2×1) + (4×2) + (6×3) + (8×4)
A·B = 2 + 8 + 18 + 32
A·B = 60
Step 2: Calculate Magnitude
Take the square root of the sum of squares of each element:
A = [2, 4, 6, 8]
|A| = √(2² + 4² + 6² + 8²)
|A| = √(4+16+36+64)
|A| = √120
B = [1, 2, 3, 4]
|B| = √(1² + 2² + 3² + 4²)
|B| = √(1+4+9+16)
|B| = √30
|A| × |B| = √120 × √30
|A| × |B| = √3600
|A| × |B| = 60
Step 3: Apply the Formula
cos(θ) = A·B / (|A| × |B|)
cos(θ) = 60 / 60
cos(θ) = 1
Cosine of 1 means perfectly identical.
Congratulations 🎉, you just learned Cosine Similarity.
Bonus:
Why does AI/ML care about cosine similarity?
Recommendation Systems: Netflix uses it to find movies similar to what you have watched.
Image Recognition: AI systems compare feature vectors extracted from images to identify faces or detect similarities between pictures.
Document Classification: Text classification systems use it to categorize emails as spam or not spam by comparing document vectors.
The AI ponzi scheme goes like this:
Everyone is generating all these long ass docs and then passing them off for others to read
Then the person receiving is like, wtf this is way too long, and hands that into an AI to read and summarize
Then they are generating a long ass response back
and this cycle goes like that forever. and we call this work now 😅
The token lords watch this from their towers nodding and grinning.
For decades, we've trusted one figure: roughly 8.2 billion humans on Earth.
Turns out that figure may be badly broken.
A study out of Aalto University in Finland just dropped a bombshell. The way we count people — splitting the planet into a grid and estimating heads per square — was mostly calibrated for cities.
Rural areas? They slipped through the cracks.
And not by a little.
Researchers found rural populations were undercounted by anywhere from 53% to 84% between 1975 and 2010. Even data as recent as 2020 missed the mark by up to 77%.
Here's the kicker: more than 40% of humanity lives in those rural areas.
To test it, the team tracked 307 dam projects across 35 countries — places where governments had hard, verified numbers on how many people were actually displaced. Then they compared reality against five major global population datasets.
The datasets lost track of millions. Maybe billions.
These are the same numbers used in thousands of studies. The same numbers that shape healthcare, infrastructure, disaster response, food supply, climate policy.
Built on a count that may have quietly erased entire communities.
Not everyone's convinced — some experts doubt the gap could be this enormous. But if Láng-Ritter and his team are right, then for our whole lives we've been one of more people than anyone ever wrote down.
The most counted number in human history might be the one we got most wrong.
Source: Láng-Ritter et al., Nature Communications, Aalto University
Rough week for the "AI is taking our jobs" narrative.
> Amazon just axed its AI leaderboard as costs soared with no clear payoff
> Starbucks' AI can't even count coffee cups right
> Uber burning a $3.4B AI budget in just 4 months with nothing to show for it
WE ARE SO BACK.
Co-sleeping with children can help regulate the nervous system, teaching the brain to handle stress more effectively and supporting emotional resilience and secure attachment throughout life.
Japan has 5,000 Indian restaurants, more than McDonalds
The country just has 60,000 Indian immigrants, and most of these are run by the 300,000 Nepalese
Incredible for country that has such few immigrants, Indian cuisine is extremely popular yet barely talked about
Spending time with people driven by an inferiority complex is exhausting.
They either overcompensate with constant posturing, or drain every interaction by making it about their insecurities.
Either way, you're left carrying baggage that was never yours.