Abinavaraam

😎😊

[Shankar Prakash A @shankarprakasha]

#SingappenSpecialForce (SSF) was launched yesterday with 354 crore and a stadium ceremony.

As a criminologist who studies policing, I want to explain using the actual GO why this is likely a visible policing theatre, not a crime reduction initiative! 1/11

[Muthukrishnan Dhandapani @dmuthuk]

This comment from a follower only made me aware of this initiative. Edited comment:

I reported a bribe I paid through Makkal Saatchi https://t.co/7f45Pwyvia yesterday (06.06.2026).

Today, the Deputy Commissioner personally called me, took full details, and assured me of appropriate action. Two police officers also visited my home - one from the DC office and another from Intelligence and enquired in detail.

This level of response within 24 hours is impressive.

I strongly urge everyone affected by corruption to use this platform and report bribes. Change is possible when we speak up.

[Gabbar @GabbbarSingh]

India’s fertility rate has gone below replacement. Two people aren’t producing two people to replace them.
Most metro couples are opting for just one kid. Not coz of a lifestyle choice, but sheer affordability.

Such is the school fees that having two kids is like having two home loans. The EMI for which will keep increasing. The love of the sibling is being replaced by a dog or the Internet. We are going to be old as a nation, before we get rich. Tough.

[Bull Theory @BullTheoryio]

THIS IS VERY CONCERNING.

Anthropic just called for a global pause in AI development, warning that AI is getting close to improving itself without human help.

In April 2026, Claude ran a full AI research project completely on its own. Humans picked the topic. Claude came up with every experiment, ran every test, and delivered the results.

Two human researchers spent a full week on the same problem and got 23% of the way there.

Claude got 97%.

Claude Mythos Preview is now 52x faster than a skilled human at improving AI training code. The same task takes a human 4 to 8 hours. Claude does it better.

Claude already writes 80% of Anthropic's own code. Their engineers are getting 8x more work done than in 2024, not because they work harder, but because Claude does most of it.

In March 2024, Claude could handle a 4 minute task on its own. Today it handles 12 hour tasks. That number doubles every 4 months. Week long tasks are expected by 2027.

Anthropic warns once AI can build and improve its own next version without any human help, nobody knows how fast things move after that or if humans will still be able to control it.

[Ayaan 🐧 @twtayaan]

The creator of Linux just publicly called out the AI hype. Word for word.

Linus Torvalds took the stage at Open Source Summit 2026 and said this:

"When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that."

He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it.

His point is something most people are too afraid to say.

AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it?

He also flagged something nobody is talking about.

AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up.

"Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue."

And his final warning was the sharpest of all.

"People who do not understand the complexity of systems will prompt systems and write processes that will fail."

The AI hype crowd is very loud right now.

Linus has been building real systems for 35 years. When he talks, engineers listen.

Full interview here:
https://t.co/LmXJtvKc4O

[Christopher Webb @cwebbonline]

THE AI BOOMERANG IS REAL

Remember when CEOs told everyone AI was coming for your job? Funny story.

Now companies are quietly rehiring after discovering that chatbots, algorithms, and AI hallucinations aren’t great at judgment, customer service, quality control, or fixing the messes they create.

• Google
• Meta
• IBM
• Salesforce
• Klarna
• Shopify
• Amazon
• McDonald’s

They replaced employees with software and then spent months realizing what the employees actually did.

[Pirat_Nation 🔴 @Pirat_Nation]

The AI Industry Has Reportedly Spent $1.4 Trillion and Still Isn’t Profitable

A website called https://t.co/K0HJo0WWtq is tracking the economics of the AI boom to determine if it is profitable, and the answer is no.

As of May 2026, the AI industry has spent roughly $1.4 trillion on model development, data centers, chips, networking, and other AI infrastructure. Over the same period, it has generated about $613 billion in revenue.

The biggest losses belong to the leading companies:
- Amazon: -$291 billion
- Google: -$262 billion
- Microsoft: -$235 billion
- Meta: -$227 billion
- Oracle: -$39 billion
- OpenAI: -$27 billion
- Anthropic: -$26.5 billion
- xAI: -$19.2 billion

Only one company is profitable: Nvidia.

According to the dashboard, Nvidia has generated an estimated $478 billion in AI revenue against $225 billion in AI-related spending, for a profit of roughly $253 billion.

The figures are compiled from public filings, earnings reports, analyst estimates, leaks, and industry reporting. The site’s creator describes the project as a best-effort snapshot rather than a formal audit and updates the numbers monthly.

The estimates also exclude indirect benefits from AI, such as improved search, advertising, and software sales.

[Hedgie @HedgieMarkets]

🦔GitHub Copilot switched to token-based billing this morning and users are already out of credits. Pro+ subscribers paying $39 a month are reporting 60% of their credits gone in two hours of normal use. One user lost 20% of their allowance from a single file review with no code changes. Another hit their monthly cap before the calendar even flipped to June.
Orgs with shared token pools have no way to see individual usage, so entire teams get cut off when one person runs a heavy prompt. Users are canceling and moving to Claude Code and Codex. GitHub community forums are on fire.

My Take
Flat-rate AI subscriptions were always subsidized. Everyone in the industry knew it. Today the subsidy ran out for a few million developers at once. The problem is a lot of companies already restructured around these tools. They cut headcount and told remaining engineers to lean on Copilot instead of building skills internally. Those companies now depend on a tool whose cost just became unpredictable and whose usefulness completely changes when you have to ration prompts to stay under budget.

The developers moving to Claude Code and Codex will hit the same wall eventually. Every AI provider faces the same unit economics. Anthropic filed its S-1 this morning, and the durability of its revenue depends on whether customers stick around once real pricing kicks in everywhere. If a $39 subscriber cancels after one day because the tool became unusable, multiply that across millions of seats and the churn risk becomes very real.

Today showed what happens when AI pricing meets reality. The companies that built their workflows around cheap tokens just discovered the tokens aren't cheap anymore and the people who knew how to do the work without them are already gone.

Hedgie🤗

[Muthukrishnan Dhandapani @dmuthuk]

I've already retweeted @Options_IndiaAB post.

Since I want this to reach lot of people, posting it separately too.

Here is the post:

I recently spent 2 weeks in China.

6 cities: Shanghai, Beijing, Xi’an, Zhangjiajie, Chongqing and Chengdu.

I went there with curiosity.

Like many Indians, I had heard a lot about China through media, social media and conversations. I expected to see progress, maybe discover some business ideas, and understand what the country is actually building.

I came back with a very uncomfortable feeling.

Not because I found a business idea for myself.

But because I saw 100 things that governments can do when infrastructure, tourism, transport, urban planning and civic systems are treated seriously.

I travelled within China by flights, trains, cars and local transport. The infrastructure was honestly stunning.

Clean cities. Smooth roads. High-speed trains. Well-managed traffic. Public spaces that actually feel designed for people. Tourist destinations that are built, maintained and promoted like national assets.

And then I kept thinking about India.

We keep comparing ourselves to China. Our media keeps telling us how India is catching up, how China is restrictive, how we are better in so many ways.

After spending time there and speaking to people, I realised how much of that narrative is just comfort food.

China is not perfect. No country is.

But on infrastructure, execution, tourism, civic discipline and quality of urban life, they are not 5 years ahead of us.

They are decades ahead.

The saddest part for me was the currency.

Everything felt expensive. Not because China was insanely expensive, but because the rupee has weakened so much that even normal spending starts feeling heavy. As an Indian taxpayer, that genuinely hurt.

We pay taxes. We work hard. We talk about becoming a global power.

But where is the quality of life?

Where is the civic sense?

Where is the infrastructure that makes daily life easier?

Where is the tourism vision beyond religious tourism?

I met travellers from other countries who were excited to visit China because they wanted to see its progress. When I asked about India, many had no real desire to visit. Not out of hate. India simply was not on their aspirational travel list.

That should bother us.

Even the so-called “closed internet” surprised me. We are told people there are missing out because they don’t use Google, Instagram, WhatsApp or Facebook.

But China has built its own digital ecosystem. Payments, maps, transport, messaging, shopping, everything works inside their own infrastructure. People did not seem to feel deprived. They seemed adapted.

Again, this is not a hate post.

I love India. That is exactly why this trip bothered me.

Patriotism cannot only be about saying we are great.

Real patriotism is having the courage to admit where we are falling behind.

China made me realise one thing very clearly:

India’s potential is not the problem.

Execution is.

And unless we stop comforting ourselves with comparisons and start demanding better infrastructure, better governance, better tourism, cleaner cities and a higher quality of life, we will keep celebrating the idea of progress instead of actually living it.

[Ojas Sharma @OjasSharma276]

From 1st June, people who rely on AI for everything in their companies are gonna get cooked.

In our stand up, we discussed that we can’t use AI for every single task anymore. The token consumption for each model is getting way higher.

Right now, Claude Opus 4.6 takes 3x tokens, but from 1st June it’s apparently going to take 27x. Your GitHub Copilot quota will probably be gone within the first 2-3 days itself.

[Mark Ajzenstadt @mardehaym]

I was wrong about AI replacing developers.

For a year I told clients the leverage was in the tool.

Better Cursor setup, better Copilot rules, more output per engineer. Two years of building production AI teams later, that take aged badly.

The original story was simple. AI is an output multiplier.

Adopt the tools, ship more code, win. Every vendor sold it. Every conference talk repeated it. I repeated it on sales calls.

DX surveyed 121,000 developers across 450+ companies between November 2025 and February 2026. 92.6% use an AI coding assistant.

AI-authored code is now 26.9% of all production code, up from 22% the prior quarter. Productivity gains still haven't moved past 10%.

Digital Applied's Q1 2026 survey of 2,847 developers found something even sharper. Reviewing AI-generated code now takes 11.4 hours per week.

Writing new code takes 9.8. The cost of AI is showing up where most teams aren't measuring it.

In the human attention required to keep AI-generated code from breaking in production.

At Limestone, 98% of our code is not handwritten. Auth, payments, and a few domain edge cases are the exception.

But every line of that 98% gets reviewed, restructured, or rejected by a senior engineer who decided what should exist before the agent ever generated it.

AI replaced typing. It didn't replace thinking.

The engineers who thrive aren't the fastest coders.

They're the ones who can read a 200-line AI-generated diff and spot the three edge cases the model missed.

They're the ones who architect before they prompt.

They're the ones who can tell you why a piece of code shouldn't exist before they explain how to write it.

If your AI strategy assumes the agent does the thinking, you're not building an AI-augmented team.

You're building a risk surface that compounds with every commit.

[Muthukrishnan Dhandapani @dmuthuk]

Russia is willing to provide us fuel and gas. Iran too.

We were temporarily allowed by US to import oil from Russia. That deadline expired last night. US has not renewed the permission so far.

Trump went all the way to China and said he has no problem in China importing oil from Iran. China has not been waiting for his permission and is already doing it. Not only that China is actively helping Iran in it's war against America.

Why America should decide who we should buy energy from and by how much? Why India's energy security need to be dictated by America?

Now America, Israel and UAE are functioning like a block. Why we should limit our oil dealings only with this block? Be it Russia, Iran or Venezuela- who we buy oil from is based on our requirement. Who is America to decide that?

[Save Invest Repeat 📈 @InvestRepeat]

Tamil Nadu’s TVK will spend ₹99,000+ Crore in freebies. 1/3rd of its revenue 😮

This isn’t about a political party & this isn’t a political post, rather all states will end up like this.

You can’t keep printing fiat, neither you can’t keep increasing taxes. I call this “doom loop”.

"The problem with socialism is that you eventually run out of other people's money." - Margaret Thatcher

This is the very reason I keep saying to implement the 6 steps & shield your savings. 🛡️

[Indian Tech & Infra @IndianTechGuide]

🚨 Tamil Nadu TVK manifesto promises:

1. Unemployed graduates will get ₹4,000 per month.

2. Women family heads below 60 years will get ₹2,500/month.

3. Every family will receive 6 free LPG cylinders/year.

4. Every bride will get one sovereign of gold and a silk saree.

5. Free residential schools will be set up to provide quality education.

6. Students can get education loans up to ₹20 lakh without collateral.

7. Plans to make Tamil Nadu drug-free

8. Each family will get health insurance coverage up to ₹25 lakh.

9. Unemployed diploma holders will get ₹2,500 per month.

10. 50 lakh job opportunities will be created for youth.

11. Small farmers (less than 5 acres) will get full crop loan waiver.

12. Sugarcane farmers will get a minimum support price of ₹4,500 per tonne.

[Top 1% Men @dtop1percentmen]

Why you must train everyday

[Evan Luthra @EvanLuthra]

THIS IS INSANE!!!🤯

China just made it ILLEGAL to fire a human worker and replace them with AI.. and the way they found out is insane..

a quality assurance supervisor named Zhou worked at an AI company in Hangzhou.. his job was verifying AI-generated content.. matching user queries with model outputs.. filtering hallucinations and illegal content..

he was literally training the AI to do his own job..

once the model got good enough.. the company told him they were moving him to a lower position.. with a 40% pay cut.. from 25,000 yuan to 15,000..

he refused.. they fired him..

he sued.. and won..

the Hangzhou court ruled that replacing a human with AI is not a valid reason to fire someone.. period..

their logic.. adopting AI is a voluntary business decision.. not an earthquake.. not a government shutdown.. not a force majeure event.. it's a choice the company made to save money..

and because it's a choice.. the company has to absorb the cost of that transition.. not dump it on the worker..

this wasn't a one-off ruling either..

in Beijing.. a map data collector named Liu spent over a decade manually collecting geographic data.. the company switched to AI-automated data collection.. eliminated his entire department.. fired him..

he sued.. won.. exact same reasoning.. AI adoption is a proactive business strategy.. not an unforeseeable external shock..

and here's what's happening in the background that makes these rulings so urgent..

unemployment for chinese workers aged 25 to 29 just hit a record 7.7%.. the highest since they started tracking that age group separately..

companies across china are literally forcing employees to document their daily workflows so AI models can learn to replace them.. workers are training their own replacements and they know it..

a 24-year-old engineer built an open-source tool called "Colleague.Skill" that scrapes your work chat history, emails, code commits, and documents.. and creates a digital clone of you that can do your exact job after you're gone..

he meant it as a dark joke.. it got 13,400 stars on GitHub in three weeks.. top 0.1% of all projects globally.. because it wasn't really a joke.. it was exactly what companies were already doing to their employees..

workers in Shanghai and Beijing told MIT Technology Review that management was actively coercing them to document everything specifically to train AI replacements..

china's response.. make it illegal..

the State Council launched the "AI Plus" initiative.. a ten-year plan that explicitly mandates AI must augment workers.. not replace them.. companies must use AI to upgrade existing roles.. not eliminate them..

by 2027.. smart devices and AI agents must reach 70% penetration.. by 2030.. over 90%.. but the growth has to create jobs.. not destroy them..

now compare this to the US..

in america.. at-will employment means your company can fire you and replace you with AI tomorrow.. no warning.. no severance negotiation.. no retraining obligation.. as long as they're not discriminating based on race, age, or disability.. it's perfectly legal..

there is no federal law protecting american workers from AI displacement.. none..

california proposed a bill requiring just 30 days notice before deploying AI that affects employment.. that's the most aggressive protection any US state has attempted..

china made it illegal to fire you.. america doesn't even require a heads up..

and here's the irony nobody is talking about..

china.. the country the west accuses of having no worker protections.. just gave its workers more protection from AI than any democracy on earth..

the question isn't whether AI will replace jobs..

it's whether your country will protect you when it does.

[Nithin Kamath @Nithin0dha]

For most parents, digital devices have become a pacifier😬, it's a way to keep em quiet, and it's understandable, but ends up creating a dependency in the long run.

At Kiaan's(son's) school, no digital device is allowed and at home, we restrict screen time to 30 mins a day. But even then, it is crazy the addiction to reels/clips, I normally catch him browsing through that.

[Shanaka Anslem Perera ⚡ @shanaka86]

Meta is building a photorealistic AI version of Mark Zuckerberg, trained on his mannerisms, tone, voice, and recent strategic thinking, to interact with employees on his behalf. Everyone is calling it creepy. No one is seeing the structural play underneath.

Every corporation in history has been limited by one constraint: the CEO cannot be in every room. The entire management hierarchy exists to solve one problem. The founder has intent. That intent must propagate through an organization. Each human layer between the CEO and the individual contributor introduces drift. By the time the founder’s vision reaches the engineer, it has been filtered through six layers of interpretation, each optimizing for their own incentives. This is the principal-agent problem, the oldest unsolved equation in organizational theory.

Zuckerberg is not building an AI avatar. He is attempting to eliminate the management layer by making the principal infinitely replicable. If the AI works as described, 79,000 employees can interact directly with a system that represents the founder’s strategic intent without the lossy compression of human intermediaries. No more “what would Mark want?” filtered through a director who has not spoken to Mark in three months. The AI speaks as Mark, trained on Mark, tested by Mark.

This is why Meta has been flattening its org structure and elevating individual contributors for two years. The avatar is not a gimmick bolted onto the hierarchy. It is the replacement for the hierarchy. The management layer was always a biological bottleneck, a necessary inefficiency because human attention does not scale. Artificial attention does.

But here is what the FT report reveals without realizing it. The avatar is trained on Zuckerberg’s “mannerisms, tone, publicly available statements, and his recent thinking on company strategy.” Not on his private reasoning. Not on the information asymmetries he holds as CEO. Not on the board discussions or the conversations with Jassy or Pichai or Altman that shape his actual decisions. The system will replicate what Zuckerberg says he thinks. Not what he actually thinks.

Every CEO’s public strategic narrative diverges from their private decision architecture. The gap between the two is the entire alpha of corporate governance, the space where real leadership happens, in the contradictions between stated vision and operational reality. If you train an AI on the narrative and deploy it as the leadership interface, you create a system that optimizes for coherence with the founder’s self-image rather than adaptation to ground truth. Employees receiving guidance from this avatar will interact with Zuckerberg’s ego model, not his cognition model. The distinction matters enormously when the next strategic pivot requires the CEO to contradict everything the avatar has been saying for months.

Meta is spending between $115 and $135 billion on AI capital expenditure in 2026. Zuckerberg personally spends five to ten hours a week writing code for AI projects. The Superintelligence Labs division is handling the avatar. This is not a side experiment. It is the logical terminus of the “AI-native company” thesis: a corporation where the founder’s intent propagates at the speed of inference rather than the speed of meetings.

The question is not whether this works. It is what happens to every Fortune 500 company if it does. The management layer is the largest cost center in corporate America. Zuckerberg just announced he is building its replacement. The market has not priced this.

[Evan Luthra @EvanLuthra]

🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP..

Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap"..

They proved something terrifying..

Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power..

Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse..

But here's the trap..

No company can afford to stop..

If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway..

So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives..

It's a Prisoner's Dilemma.. And the researchers proved it mathematically..

The numbers are already stacking up..

Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion"..

Salesforce replaced 4,000 customer support agents with AI..

Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team..

Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases..

80% of US workers hold jobs with tasks susceptible to AI automation..

And here's what should scare policymakers..

The researchers tested every proposed solution..

Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate..

Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human..

Worker equity and profit sharing.. Narrows the gap but can't close it..

Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing..

Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker..

The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand..

The paper's conclusion is devastating..

This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone..

And no market force can break the cycle..

The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.