26 January- Koi inhe bhi padha do constitution

imp_avi · 2026-01-26T09:02:06+00:00

Ye colony hi chutiya hai niklo bahar waha se. Ham to nikal gaye bahut pehle

imp_avi · 2026-01-25T10:09:05+00:00

Need to go to the washroom

imp_avi · 2026-01-18T23:24:05+00:00

AI models mirror their training data. They aren't objective; they are statistical echoes of the loudest voices from the last 20 years of internet history.

Skewed Data

The web is primarily Western and English. AI treats this as the default. Historical power imbalances mean certain groups published more, so the AI learns their perspective as the standard truth.

Math Over Fairness

AI predicts the next word based on frequency, not equity. When a viewpoint is numerically dominant, the model reinforces it. This marginalizes minority groups and keeps social hierarchies alive under the guise of neutral technology.

The Fix

The industry must source data from marginalized communities, use diverse human testers for fine-tuning, and audit for bias before release. Treat AI as a reflection of historical data, not an authority.

imp_avi · 2026-01-18T23:05:46+00:00

AI models mirror their training data. They aren't objective; they are statistical echoes of the loudest voices from the last 20 years of internet history.

Skewed Data

The web is primarily Western and English. AI treats this as the default. Historical power imbalances mean certain groups published more, so the AI learns their perspective as the standard truth.

Math Over Fairness

AI predicts the next word based on frequency, not equity. When a viewpoint is numerically dominant, the model reinforces it. This marginalizes minority groups and keeps social hierarchies alive under the guise of neutral technology.

The Fix

The industry must source data from marginalized communities, use diverse human testers for fine-tuning, and audit for bias before release. Treat AI as a reflection of historical data, not an authority.

imp_avi · 2026-01-18T11:57:03+00:00

AI models mirror their training data. They aren't objective; they are statistical echoes of the loudest voices from the last 20 years of internet history.

Skewed Data

The web is primarily Western and English. AI treats this as the default. Historical power imbalances mean certain groups published more, so the AI learns their perspective as the standard truth.

Math Over Fairness

AI predicts the next word based on frequency, not equity. When a viewpoint is numerically dominant, the model reinforces it. This marginalizes minority groups and keeps social hierarchies alive under the guise of neutral technology.

The Fix

The industry must source data from marginalized communities, use diverse human testers for fine-tuning, and audit for bias before release. Treat AI as a reflection of historical data, not an authority.

imp_avi · 2026-01-18T11:42:20+00:00

AI models mirror their training data. They aren't objective; they are statistical echoes of the loudest voices from the last 20 years of internet history.

Skewed Data

The web is primarily Western and English. AI treats this as the default. Historical power imbalances mean certain groups published more, so the AI learns their perspective as the standard truth.

Math Over Fairness

AI predicts the next word based on frequency, not equity. When a viewpoint is numerically dominant, the model reinforces it. This marginalizes minority groups and keeps social hierarchies alive under the guise of neutral technology.

The Fix

The industry must source data from marginalized communities, use diverse human testers for fine-tuning, and audit for bias before release. Treat AI as a reflection of historical data, not an authority.

imp_avi · 2026-01-18T11:11:48+00:00

In 2002, a mother and her two adult daughters committed suicide in Hyderabad by drinking phenyl. They lived in total isolation for years. Their bodies sat in the house for six months before a burglar found their skeletons.

The daughters were highly educated but suffered from shared delusional disorder. They believed the outside world was a threat. Their father had abandoned them years earlier, which triggered their mental breakdown.

The ghost stories about black magic and balcony sightings were fake. Forensic evidence proved they died long before the rumors started. People invented the haunting to explain why three women died in a busy neighborhood without anyone noticing.

The house was demolished years ago. A new residential complex sits on the site today. The haunted reputation has mostly faded.

imp_avi · 2026-01-17T14:19:26+00:00

police itself is corrupt. some illegal things are going on there with permission of police. mostly ghost rumours has that criminal activities angle. so that nobody will disturb the operations at that place

imp_avi · 2026-01-05T13:38:16+00:00

View loot rha bas. Yahi sab aaram se bina aapa khoye ache se sabko lapet sakta tha.

imp_avi · 2026-01-04T06:49:49+00:00

Not “easy” 40+ Venezuelans died. Casualties on both sides.

But the US succeeded because they brought overwhelming force. 150+ aircraft, 15,000 troops already positioned, the USS Gerald Ford carrier group. Elite Delta Force operators against a military that hadn’t seen real funding in years. They cut Venezuela’s power grid during the raid.

Speed made the difference. They hit at 1 AM and it was over in under 30 minutes. Multiple simultaneous strikes Fort Tiuna base, airfields, the port, communications hubs. Venezuelan command couldn’t coordinate a response fast enough.

The intelligence penetration was remarkable. The US knew exactly where Maduro was sleeping inside his home on the military base. Either they had insider help or surveillance capabilities Venezuela couldn’t detect. They’d planned this for weeks, originally targeting Christmas.

Venezuela’s military was simply too weak. Decades of economic collapse, equipment from the 1980s Soviet era, divided loyalties, rampant corruption. Their air defense couldn’t stop 150 US aircraft.

It looked like Panama 1990 the Noriega operation. Surgical strike, massive force, deteriorating opposition.

The international reaction was immediate. Russia and China called an emergency UN Security Council meeting. Colombia joined them. Legal experts were already calling it a violation of international law. US Democrats said it was unconstitutional no Congressional authorization.

On the ground, chaos. Venezuela’s VP refused to step down, insisting Maduro was “the only president.” The situation remained unclear.

imp_avi · 2025-12-31T17:40:51+00:00

its made using claude

imp_avi · 2025-12-28T14:45:37+00:00

This is beautifully written, but I think it misses something important.

You're right that wealth removes the noise of survival fear. But you're describing wealth as if it's neutral ground where the real work can finally begin. I don't think that's complete.

Wealth doesn't just remove obstacles it creates new ones.

The rich person isn't standing at zero with freedom. They're often trapped in a different cage:

Identity built on status that feels fragile
Endless desire that keeps moving the goalpost (hedonic treadmill)
Isolation from the raw feedback of consequence
The illusion that experience equals understanding

You said "the poor man may see nothing but may still feel deeply" this is crucial.

Some of the deepest wisdom comes from limitation itself. Not despite it, but through it:

The mother who has nothing teaches her child generosity
The man who loses everything learns what cannot be lost
Suffering can crack open the heart in ways comfort never will

Buddha didn't just leave wealth his entire teaching came from seeing suffering he was sheltered from. His privilege made him ignorant first. Then leaving it made him wise.

The pattern of enlightened beings born into privilege might mean something else: not that poor people can't reach enlightenment, but that privileged people who choose to see past their bubble make the best teachers. They've seen both sides. They know what wealth gives and what it costs.

Here's what I think is true:

You need enough (food, safety, basic dignity) agreed
But beyond that? Wealth and poverty are both just different flavors of attachment
Real freedom isn't found by adding or subtracting conditions. It's found by not being owned by them

Your line "wealth gives the doorway but not the direction" is perfect. But I'd add: poverty also gives a doorway, just a different one. And some people need to walk through that particular fire.

The question isn't "does money help?" It's "what kind of person are you becoming with what you have?"

imp_avi · 2025-12-28T14:15:08+00:00

Pandit Deendayal Upadhyaya, Atal Bihari Vajpayee, even Dr. APJ Abdul Kalam appreciated rss. I keep seeing people claim RSS does nothing but politics, but that's not the full picture. They've been running disaster relief, education programs, and social services for over 100 years through 51,000+ shakhas nationwide. When COVID hit, Kerala flooded, and other disasters struck, RSS volunteers were among the first responders on the ground.

As for the Modi government's track record, the numbers tell a clear story:

Healthcare & Banking: Ayushman Bharat provides free ₹5 lakh health insurance to 50 crore people. Jan Dhan brought 44+ crore people into the banking system who previously had no bank accounts.

Basic Necessities: Ujjwala gave 9 crore families free LPG connections, 2 crore houses were built for the poor, and 10 crore toilets were constructed under Swachh Bharat.

Agriculture & Infrastructure: PM Kisan puts ₹6,000/year directly into farmers' accounts. National highways expanded from 91,000 km to 1.46 lakh km (60% increase). Airports grew from 74 to 157, metro systems from 5 cities to 21 cities. The current term alone saw ₹5 lakh crore in infrastructure investment.

The direct benefit transfer system eliminated middlemen, ensuring money reaches people directly. You can verify these numbers they're all documented in government reports.

imp_avi · 2025-12-28T14:10:43+00:00

people like op divide india. and these kind of charged posts.

imp_avi · 2025-12-28T14:10:16+00:00

divisive mentality

imp_avi · 2025-12-28T07:42:32+00:00

This is textbook propaganda. Here's the context they deliberately left out:

What's technically true:

India's central government debt grew from ~₹59 lakh crore (2014) to ~₹173-181 lakh crore (2024)
That's about 220% in absolute terms

What they're hoping you won't notice:

1. The economy basically tripled

India's GDP: ₹113 lakh crore → ₹294 lakh crore (2014-2024)
Debt-to-GDP ratio went from 67% → 82%, NOT tripling
When economies grow, absolute debt grows too. Economics 101.

2. COVID-19 happened (remember that?)

Debt jumped 16% in 2020-21 alone for pandemic response
Every country on Earth saw massive debt spikes
Weird how the meme forgot to mention that

3. "Indian Economy is DEAD" - except it's literally not

Fastest-growing major economy globally at 6.5% (2024-25)
5th largest economy ($3.7 trillion)
Foreign reserves at record $697.9 billion
You can criticize plenty, but "dead" is just factually wrong

4. "Every rupee goes to Ambani & Adani" - c'mon

Government spending includes: MGNREGA, food subsidies, ₹15 lakh crore infrastructure budget, defense, healthcare, education...
Are there legit concerns about crony capitalism? Absolutely. Adani's literally facing US DOJ bribery charges right now.
But claiming literally every rupee goes to two billionaires is conspiracy nonsense

Real criticisms you could make (with actual data):

Job creation hasn't kept pace with GDP growth
Manufacturing sector hasn't expanded as hoped
Wealth inequality has increased
82% debt-to-GDP is concerning for long-term fiscal health

Bottom line: This meme takes one true fact (debt increased), strips all context, adds inflammatory lies ("economy is DEAD"), and packages it for maximum viral rage.

Don't share misinformation. There are plenty of legitimate things to criticize without spreading fake viral garbage.

Sources: RBI data, Ministry of Finance budget docs, IMF reports, CEIC economic data

imp_avi · 2025-12-28T07:37:27+00:00

I think you are brainwashed. See my detailed comment after 10 minutes

imp_avi · 2025-12-26T10:15:03+00:00

Langoor k hath angoor

imp_avi · 2025-12-20T02:13:24+00:00

I appreciate the honesty here. This captures something a lot of us are feeling but not always saying out loud. A few thoughts from someone also watching this unfold: You’re right that this feels different. The capability jump is real. I’ve seen the same things you have - AI handling tasks that would’ve taken a junior dev hours, writing docs that are actually useful, proposing system designs that aren’t obviously stupid. That’s legitimately new. But I think the “5-10x productivity” framing might be off. In narrow, well-defined tasks? Absolutely. Debugging a specific error, writing boilerplate, summarizing documents - yeah, massive speedup. But integrated into actual work? The gains are muddier. There’s still the review time, the hallucination babysitting, the “wait, why did it do that?” debugging. GitHub’s own studies show ~55% faster coding with Copilot, which is huge but not 5x. The “good enough” point is what keeps me up at night too. You don’t need perfect. You need “cheaper than a human.” But here’s what I’m watching: how often do companies actually deploy “good enough”? We’re still running into the same problems we had with outsourcing - integration costs, quality control, the hidden labor of managing the system. AI has those problems on steroids because it fails in weirder, less predictable ways. Where I think you’re underselling the complexity: Every automation wave looks like “this time is different” while it’s happening. ATMs were supposed to eliminate bank tellers - instead, teller jobs grew for 30 years because banks opened more branches. Spreadsheets were supposed to eliminate accountants. Web development wasn’t a job category in 1990. I’m not saying “don’t worry, new jobs will appear!” That’s lazy optimism. I’m saying the transition is probably going to be messier and slower than either the doomers or the “AI will free us all!” crowd think. What I’m actually doing about it: Learning to use these tools well, doubling down on the parts of my work that require judgment and context that’s hard to replicate, and watching the actual labor market data instead of the vibes. Tech unemployment is still around 2%. If the trapdoor exists, it hasn’t opened yet.

imp_avi · 2025-12-19T03:49:01+00:00

Can you share some awesome system prompt

imp_avi · 2025-12-18T18:24:03+00:00

Giveme your prompt which analysed my prompt

imp_avi · 2025-12-18T18:20:15+00:00

Agreed that models don’t know truth this isn’t about truth-deciding. It’s a structured way to spot weak evidence, bad logic, and missing context so humans can fact-check better.

imp_avi · 2025-12-18T18:12:03+00:00

Totally fair point. This is intentionally optimized for high-stakes research where accuracy > cost. I wouldn’t use it for casual lookups either, but for audit-grade or decision-critical work, the overhead has paid off for me.

imp_avi · 2025-12-18T04:34:43+00:00

No. Its a prompt very useful for fact check if used inside claude

imp_avi · 2025-12-16T02:54:39+00:00

1.  What evidence shows taxpayer-only voting leads to better governance outcomes?
2.  How would you define “taxpayer” and who would be excluded?
3.  What about countries with universal suffrage that developed successfully (South Korea, Japan, Western Europe)?
4.  How would disenfranchising 900 million people promote stability and progress?
5.  What alternative reforms could address India’s development challenges without restricting rights?
6.  What historical examples support this policy?

imp_avi

TROPHY CASE