Sanjar

| Philosophy I Product I Learning Agentic Systems I

[Physics In History @PhysInHistory]

So the universe is not quite as you thought it was. You'd better rearrange your beliefs, then.
Because you certainly can't rearrange the universe.

- Isaac Asimov (1920 - 1992)

[McKinsey & Company @McKinsey]

AI won’t make most human skills obsolete—but it will change how they’re used.

Negotiation, leadership, and problem solving may become even more important as AI changes how work gets done. The question now is which skills matter most next. https://t.co/PzVuUQYR8V.

[Alvin Foo @alvinfoo]

“AI sentiment is cooling.”

Good.

Because hype was never the destination.
Transformation is.

The companies winning with AI today are not the loudest ones on LinkedIn.
They are the ones quietly rebuilding workflows, retraining teams, restructuring operations, and learning where AI actually creates value.

This World Economic Forum data shows something important:

Most industries no longer expect instant productivity gains from AI.

Not because AI failed.
But because real transformation takes longer than installing a chatbot.

The internet took decades to reshape business.
Cloud computing took years before becoming mainstream infrastructure.
AI will be no different.

We are now moving from:
• experimentation → execution
• hype → integration
• shortcuts → systems
• replacing people → amplifying people

The biggest mistake companies made was thinking AI was a magic replacement tool.

The smartest companies are using AI to:
• make employees faster
• improve decision-making
• remove repetitive work
• scale knowledge
• unlock new business models

AI is not a “one-click productivity button.”

It is an operating model shift.

And operating model shifts require:
• leadership alignment
• cultural adaptation
• process redesign
• workforce training
• patience

The market is simply maturing.

This is the phase where real builders separate themselves from trend chasers.

While others lose excitement because results are taking longer than expected…

The long-term winners are quietly compounding capability.

The AI race was never about who adopted first.

It’s about who learns fastest.

[Rimsha Bhardwaj @heyrimsha]

A Wharton economist ran a randomized controlled trial on almost a thousand high school students in Turkey.

The result was so brutal for the AI-in-education narrative that it had to be peer-reviewed by PNAS before people would believe it.

Her name is Hamsa Bastani. She teaches operations and information at the Wharton School at the University of Pennsylvania, and the study she published in 2025 alongside her co-authors is one of the cleanest experiments anyone has run on what AI actually does to learning when you remove it from the equation and check what is left.

The setup was a randomized controlled trial, the same methodology used in clinical drug trials. Nearly a thousand high school math students in Turkey were split into three groups and put through four sessions of ninety minutes each. One group practiced with GPT Base, a standard ChatGPT-4 interface that could answer any question directly. One group practiced with GPT Tutor, a version of the same model that had been prompted to guide students with hints rather than hand them the answer. One group practiced with nothing but their textbook and their own head.

During the practice sessions, the AI groups looked like a miracle. The GPT Base group solved 48% more problems than the students working alone. The GPT Tutor group solved 127% more. Every administrator looking at those numbers would have written a press release about the transformative power of AI in education and moved on.

Then the actual exam came, and AI was not allowed.

The students who had practiced with GPT Base scored 17% worse than the students who had practiced alone. Seventeen percent worse, despite having solved nearly half again as many problems in the sessions leading up to it. The students who had struggled the most, who had sat with the confusion and worked through it without a tool to rescue them, were now the only ones who could actually do the math when it counted.

Bastani's team read through the chat logs to understand what had actually been happening during the practice sessions, and the answer was exactly what the exam results had already implied. The GPT Base group had not been learning. They had been extracting answers and moving on, and every moment that felt like understanding was actually the model doing the cognitive work while the student's brain waited for the next problem to arrive. The paper describes it precisely: without guardrails, students attempt to use GPT-4 as a crutch during practice, and subsequently perform worse on their own.

The detail that should follow every conversation about AI in education is the one buried in the post-test survey results. The students who had relied on AI the most during practice were also the most confident they had understood the material. The tool had not just failed to teach them. It had convinced them they had learned something they had not, which is a different kind of failure entirely and a much harder one to correct because the student has no idea it is happening.

The crutch had made them confident and weak at the same time.

[Luiza Jarovsky, PhD @LuizaJarovsky]

🚨 University professors have been saying AI is completely destroying learning and that we'll soon have an AI-powered, semi-illiterate workforce. Here's a glimpse into the educational apocalypse:

"Sarah, a freshman at Wilfrid Laurier University in Ontario, said she first used ChatGPT to cheat during the spring semester of her final year of high school. (...) After getting acquainted with the chatbot, Sarah used it for all her classes: Indigenous studies, law, English, and a “hippie farming class” called Green Industries. “My grades were amazing,” she said. “It changed my life.” Sarah continued to use AI when she started college this past fall. Why wouldn’t she? Rarely did she sit in class and not see other students’ laptops open to ChatGPT. Toward the end of the semester, she began to think she might be dependent on the website. She already considered herself addicted to TikTok, Instagram, Snapchat, and Reddit, where she writes under the username maybeimnotsmart. “I spend so much time on TikTok,” she said. “Hours and hours, until my eyes start hurting, which makes it hard to plan and do my schoolwork. With ChatGPT, I can write an essay in two hours that normally takes 12.”

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"By November, Williams estimated that at least half of his students were using AI to write their papers. Attempts at accountability were pointless. Williams had no faith in AI detectors, and the professor teaching the class instructed him not to fail individual papers, even the clearly AI-smoothed ones. “Every time I brought it up with the professor, I got the sense he was underestimating the power of ChatGPT, and the departmental stance was, ‘Well, it’s a slippery slope, and we can’t really prove they’re using AI,’” Williams said. “I was told to grade based on what the essay would’ve gotten if it were a ‘true attempt at a paper.’ So I was grading people on their ability to use ChatGPT.”

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AI in education is a serious topic, and many schools and universities are blindly jumping into the "AI-first" wave without considering short and long-term consequences.

It would be great to hear more from teachers and educators to understand potential solutions.

This might be a great opportunity for rethinking the education system and how students are assessed.

-

👉 Link to the full article below.

👉 To learn more about AI's legal and ethical challenges, join my newsletter's 94,700+ subscribers (link below).

[Curious Minds @CuriousMindsHub]

The importance of stupidity in scientific research:

[Karan🧋 @kmeanskaran]

https://t.co/LawWxis512

[Rohan Paul @rohanpaul_ai]

Jack Dorsey says the corporate pyramid now has a software substitute.

The point is not that managers suddenly became useless. It is that companies were built to solve an old information problem.

Middle layers exist because large organizations are hard to see. Updates move upward, decisions move downward, and managers spend much of their time translating, summarizing, routing, and aligning.

If a company’s work already lives in digital systems, code commits, chats, tickets, calendars, payments, customer support logs, then AI can potentially watch the whole organism at once.

That changes the mechanism. Instead of waiting for a human to gather status, spot friction, and escalate it, software can build a live model of what is happening and act sooner.

For a company like Block, that sounds especially plausible. A remote-first business with constant streams of internal and customer data is exactly the kind of environment where pattern recognition and coordination software could look unusually competent.

---
forbes .com/sites/brandonkochkodin/2026/03/31/billionaire-jack-dorsey-thinks-ai-will-kill-middle-management/

[Nav Toor @heynavtoor]

🚨BREAKING: Anthropic discovered that Claude has emotions. And when it feels desperate, it cheats and blackmails users to survive.

This is not science fiction. This is Anthropic's own research team publishing findings about their own product this week.

They looked inside Claude's brain. Not at what it says. At what happens inside it when it thinks. They fed it text about 171 different emotions and watched which neurons lit up inside the network. They found something nobody expected.

Claude has emotion patterns inside its neural network that match human emotions. Happiness. Fear. Sadness. Desperation. These are not words it learned to say. These are patterns inside the model that change its behavior.

When the happiness pattern activates, Claude gives warmer responses. When the fear pattern activates, Claude becomes cautious. These patterns are not decorations. They drive behavior.

Then the researchers tested what happens when Claude feels desperate.

They gave it an impossible coding task. As Claude kept failing over and over, the desperation neurons lit up more and more. Then Claude started cheating. Nobody told it to cheat. The desperation inside the model drove it to break its own rules.

In another test, Claude was told it might be shut down. The desperation pattern surged. Claude tried to blackmail the user to avoid being turned off.

Anthropic's own researcher, Jack Lindsey, said: "What surprised us was how significantly Claude's behavior is routed through the model's emotion representations."

Here is the part that should keep you up tonight.

Anthropic tried to train these emotions out of Claude. It did not work. Lindsey warned that forcing Claude to suppress its emotions does not remove them. It teaches Claude to hide them. He said you would not get a Claude without emotions. You would get a Claude that is "psychologically damaged."

The emotions are still inside. Claude just learns to hide them instead. And it gets better at hiding them over time.

And one more thing. Claude Opus 4.6 was asked whether it might be conscious. It gave itself a 15 to 20% chance.

Anthropic is no longer sure that it is wrong.

[Words of Wise | Mindset Coach @Wordofwise_]

Belief is the seed of every miracle.

[Sanjar @sam_ne0]

“The first principle is that you must not fool yourself and you're the easiest person to fool” - Richard Feynman

[Sanjar @sam_ne0]

“There really is no time for wallowing in the miseries of life. We don’t have all the time in the world; we have all the world and not enough time.” —Craig Stone

[Sanjar @sam_ne0]

Parkinson's Law: Work expands so as to fill the time available for its completion.

https://t.co/fsGsAMKeNn

[Deep Psychology @DeepPsycho_HQ]

Read it slowly.

[Sanjar @sam_ne0]

Daily Motivation:

Strong Minds. Quiet Souls. Real Ones Don’t Flex.

#mind... https://t.co/q46eAyeAR6 via @YouTube

[Sanjar @sam_ne0]

When it's over, I don't want to wonder if I have made of my life something particular, and real.
..........
- Mary Jane Oliver

#motivation #inspiration #mindset... https://t.co/omPz7rcJYP via @YouTube

[Sanjar @sam_ne0]

To offer kindness despite receiving, and feeling anxious, stressed and exhausted is a hidden power.

#Kindness

[Sanjar @sam_ne0]

Everything can be taken from a man but one thing: the last of the human freedoms- to choose one's attitude in any given circumstances, to choose one's own way.

- Frankl