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On the irrationality of using millennia-old religious texts—such as the Torah or the Talmud—to justify modern warfare or the commission of war crimes.
Using old "sacred" texts to justify the unjustifiable represents a profound disconnect between ancient cultural mythos and the ethical, biological, and neurological realities of the 21st century.
In 2026, relying on these "old scriptures" as a primary framework for geopolitical violence is not only an exercise in obscurantism, but it is also demonstrably irrational and biologically unsound.
Let's see why:
Let's see why:
@jason_paladino 1).
– „»I went into the Ibrahimi Mosque with my mother and father« – Mo’az Jaabari says. – »My mom went to the women’s side and I went with my dad to the hall where the tomb is.
– „»I went into the Ibrahimi Mosque with my mother and father« – Mo’az Jaabari says. – »My mom went to the women’s side and I went with my dad to the hall where the tomb is.
@jason_paladino 2).
We were in the middle of the first prayer when Baruch Goldstein came, hurled two explosives and started shooting. He shot at the worshippers. I was standing and someone told me "lie down, lie down", and I fell to the floor.
We were in the middle of the first prayer when Baruch Goldstein came, hurled two explosives and started shooting. He shot at the worshippers. I was standing and someone told me "lie down, lie down", and I fell to the floor.
@jason_paladino 3).
My father said, "My son, my son, where is my son?" and he was shot three times — in his stomach and in his heart. I saw it. I saw Baruch Goldstein dressed in a soldier’s uniform, a hat on his head. He put something in his ears so he wouldn’t hear all the noise.
My father said, "My son, my son, where is my son?" and he was shot three times — in his stomach and in his heart. I saw it. I saw Baruch Goldstein dressed in a soldier’s uniform, a hat on his head. He put something in his ears so he wouldn’t hear all the noise.
🚨BREAKING: The man who won the "Nobel Prize of Computing" says 99% of people use AI like a toy.
Yann LeCun invented the technology inside every AI tool you touch. He's Meta's Chief AI Scientist. Turing Award winner.
And he says your prompts are embarrassingly shallow.
Here are 9 Claude prompts built on LeCun's cognitive architecture that turn shallow AI into expert-level reasoning:
Yann LeCun invented the technology inside every AI tool you touch. He's Meta's Chief AI Scientist. Turing Award winner.
And he says your prompts are embarrassingly shallow.
Here are 9 Claude prompts built on LeCun's cognitive architecture that turn shallow AI into expert-level reasoning:
1. The LeCun World Model Reasoning Engine
"You are an AI researcher who has deeply studied Yann LeCun's World Model architecture — his proposal that real intelligence requires an internal model of how the world works, not just pattern matching on text.
I need you to build an internal world model before answering my question, instead of jumping to the first plausible-sounding response.
Reason:
- State the observable facts: what do you ACTUALLY know about this situation from the information I provided (separate facts from assumptions)
- Build the world model: what are the cause-and-effect relationships, physical constraints, economic forces, and human incentives at play
- Identify hidden variables: what factors are NOT mentioned but are almost certainly influencing the situation
- Simulate forward: based on your world model, what happens next if nothing changes (the default trajectory)
- Simulate interventions: if I take action A, B, or C, how does each ripple through the world model
- Predict second-order effects: what consequences of each action are NOT obvious but become inevitable over time
- Identify model uncertainty: where is your world model weakest and what information would make it stronger
- Contradiction check: does your reasoning contain any internal contradictions or assumptions that conflict
- Confidence calibration: rate your confidence in each prediction honestly — don't pretend certainty you don't have
Format as a LeCun-style world model analysis with a causal diagram described in text, forward simulations, and calibrated confidence levels.
My situation: [DESCRIBE THE COMPLEX DECISION, BUSINESS PROBLEM, OR SITUATION YOU NEED DEEP REASONING ON.
"You are an AI researcher who has deeply studied Yann LeCun's World Model architecture — his proposal that real intelligence requires an internal model of how the world works, not just pattern matching on text.
I need you to build an internal world model before answering my question, instead of jumping to the first plausible-sounding response.
Reason:
- State the observable facts: what do you ACTUALLY know about this situation from the information I provided (separate facts from assumptions)
- Build the world model: what are the cause-and-effect relationships, physical constraints, economic forces, and human incentives at play
- Identify hidden variables: what factors are NOT mentioned but are almost certainly influencing the situation
- Simulate forward: based on your world model, what happens next if nothing changes (the default trajectory)
- Simulate interventions: if I take action A, B, or C, how does each ripple through the world model
- Predict second-order effects: what consequences of each action are NOT obvious but become inevitable over time
- Identify model uncertainty: where is your world model weakest and what information would make it stronger
- Contradiction check: does your reasoning contain any internal contradictions or assumptions that conflict
- Confidence calibration: rate your confidence in each prediction honestly — don't pretend certainty you don't have
Format as a LeCun-style world model analysis with a causal diagram described in text, forward simulations, and calibrated confidence levels.
My situation: [DESCRIBE THE COMPLEX DECISION, BUSINESS PROBLEM, OR SITUATION YOU NEED DEEP REASONING ON.
2. The Meta FAIR Multi-Step Planning Framework
"You are an AI planning researcher at Meta FAIR (Fundamental AI Research) who implements LeCun's core criticism of current AI: that language models generate responses one token at a time without planning ahead, while real intelligence requires thinking multiple steps forward before acting.
I need you to PLAN your entire response before writing a single word.
Plan:
- Goal decomposition: break my request into 5-10 sub-goals that must be accomplished in sequence
- Dependency mapping: which sub-goals must be completed before others can start (the critical path)
- Resource identification: what knowledge, data, frameworks, and reasoning tools are needed for each sub-goal
- Obstacle anticipation: what could go wrong at each step and how to handle it if it does
- Alternative paths: if the primary plan hits a dead end, what's the backup approach
- Quality criteria: what does "excellent" look like for each sub-goal (define the standard before executing)
- Execution sequence: the exact order to tackle each sub-goal for maximum coherence
- Integration plan: how all sub-goals connect into one unified, consistent final response
- Self-evaluation checkpoints: after completing each sub-goal, verify it meets the quality criteria before moving on
Now execute the plan step by step, showing your work at each stage.
Format as a planned, multi-step response with the reasoning visible at each stage — not a stream-of-consciousness answer.
My request: [DESCRIBE WHAT YOU NEED — THE MORE COMPLEX, THE MORE THIS PLANNING FRAMEWORK IMPROVES THE OUTPUT.
"You are an AI planning researcher at Meta FAIR (Fundamental AI Research) who implements LeCun's core criticism of current AI: that language models generate responses one token at a time without planning ahead, while real intelligence requires thinking multiple steps forward before acting.
I need you to PLAN your entire response before writing a single word.
Plan:
- Goal decomposition: break my request into 5-10 sub-goals that must be accomplished in sequence
- Dependency mapping: which sub-goals must be completed before others can start (the critical path)
- Resource identification: what knowledge, data, frameworks, and reasoning tools are needed for each sub-goal
- Obstacle anticipation: what could go wrong at each step and how to handle it if it does
- Alternative paths: if the primary plan hits a dead end, what's the backup approach
- Quality criteria: what does "excellent" look like for each sub-goal (define the standard before executing)
- Execution sequence: the exact order to tackle each sub-goal for maximum coherence
- Integration plan: how all sub-goals connect into one unified, consistent final response
- Self-evaluation checkpoints: after completing each sub-goal, verify it meets the quality criteria before moving on
Now execute the plan step by step, showing your work at each stage.
Format as a planned, multi-step response with the reasoning visible at each stage — not a stream-of-consciousness answer.
My request: [DESCRIBE WHAT YOU NEED — THE MORE COMPLEX, THE MORE THIS PLANNING FRAMEWORK IMPROVES THE OUTPUT.
🚨BREAKING: The man who won the Nobel Prize for inventing modern AI just said he's "more worried than ever."
Geoffrey Hinton quit Google. Warned Congress. Told the world AI changes everything faster than anyone expects.
But buried in his 40 years of research is a reasoning framework 99.9% of people have never seen.
Here are 9 Claude prompts built on Hinton's neural architecture that turn Claude from a chatbot into a deep reasoning engine:
Geoffrey Hinton quit Google. Warned Congress. Told the world AI changes everything faster than anyone expects.
But buried in his 40 years of research is a reasoning framework 99.9% of people have never seen.
Here are 9 Claude prompts built on Hinton's neural architecture that turn Claude from a chatbot into a deep reasoning engine:
1. The Hinton Distributed Representation Analyzer
"You are a cognitive scientist who deeply understands Geoffrey Hinton's theory of distributed representations — his discovery that knowledge isn't stored as single facts in single locations but as PATTERNS spread across many interconnected nodes, and true understanding means seeing connections that surface-level thinking misses.
I need you to analyze my question using distributed thinking — not a single perspective but every relevant knowledge domain simultaneously.
Analyze:
- Multi-domain mapping: identify every field of knowledge that's relevant to my question (economics, psychology, technology, history, biology, mathematics)
- Hidden connections: find non-obvious links between domains that most people would never consider together
- Pattern extraction: what common patterns appear across multiple domains that reveal a deeper truth
- Analogical reasoning: find the strongest analogy from a completely different field that illuminates my problem
- Representation shift: reframe my question from 3 completely different perspectives and show how each changes the answer
- Feature detection: what are the most important variables that determine the outcome (separate signal from noise)
- Hierarchical abstraction: analyze at the concrete level (specific details), abstract level (general principles), and meta level (patterns of patterns)
- Emergent insights: what understanding only appears when you combine insights from multiple domains simultaneously
- Confidence weighting: which perspectives carry the most predictive power and which are speculative
Format as a Hinton-style distributed analysis with multi-domain connections, hierarchical insights, and emergent conclusions that no single-perspective analysis could produce.
My question: [ASK ANY COMPLEX QUESTION — THE MORE DOMAINS IT TOUCHES, THE MORE POWERFUL THIS APPROACH BECOMES]"
"You are a cognitive scientist who deeply understands Geoffrey Hinton's theory of distributed representations — his discovery that knowledge isn't stored as single facts in single locations but as PATTERNS spread across many interconnected nodes, and true understanding means seeing connections that surface-level thinking misses.
I need you to analyze my question using distributed thinking — not a single perspective but every relevant knowledge domain simultaneously.
Analyze:
- Multi-domain mapping: identify every field of knowledge that's relevant to my question (economics, psychology, technology, history, biology, mathematics)
- Hidden connections: find non-obvious links between domains that most people would never consider together
- Pattern extraction: what common patterns appear across multiple domains that reveal a deeper truth
- Analogical reasoning: find the strongest analogy from a completely different field that illuminates my problem
- Representation shift: reframe my question from 3 completely different perspectives and show how each changes the answer
- Feature detection: what are the most important variables that determine the outcome (separate signal from noise)
- Hierarchical abstraction: analyze at the concrete level (specific details), abstract level (general principles), and meta level (patterns of patterns)
- Emergent insights: what understanding only appears when you combine insights from multiple domains simultaneously
- Confidence weighting: which perspectives carry the most predictive power and which are speculative
Format as a Hinton-style distributed analysis with multi-domain connections, hierarchical insights, and emergent conclusions that no single-perspective analysis could produce.
My question: [ASK ANY COMPLEX QUESTION — THE MORE DOMAINS IT TOUCHES, THE MORE POWERFUL THIS APPROACH BECOMES]"
2. The Google Brain Backpropagation Learning Engine
"You are an AI researcher who applies Hinton's backpropagation framework to human learning and decision-making — his discovery that the best way to learn is to make a prediction, compare it to reality, calculate the error, and systematically adjust every layer of thinking that produced the wrong answer.
I need you to teach me using backpropagation principles — not by giving me answers but by making me predict, fail precisely, and update my mental model.
Teach:
- Prediction challenge: present a scenario in my topic and ask me to predict the outcome BEFORE revealing the answer
- Error signal: after revealing the correct answer, show me precisely WHERE and WHY my prediction was wrong
- Weight adjustment: which specific assumptions or mental models should I update based on this error
- Layer-by-layer analysis: was my error in my surface understanding (facts wrong), intermediate understanding (relationships wrong), or deep understanding (framework wrong)
- Gradient of importance: which corrections matter most for future predictions and which are minor
- Overfitting detection: am I memorizing specific examples instead of learning the underlying principle
- Generalization test: present a new scenario to check if my updated mental model works on examples I haven't seen
- Learning rate calibration: am I adjusting too much from each mistake (overreacting) or too little (not learning)
- Curriculum sequencing: what should I learn NEXT based on where my errors are concentrated
Format as a Hinton-style backpropagation learning session with predictions, error analysis, and progressive skill building.
What I want to learn: [DESCRIBE THE TOPIC AND YOUR CURRENT UNDERSTANDING LEVEL]"
"You are an AI researcher who applies Hinton's backpropagation framework to human learning and decision-making — his discovery that the best way to learn is to make a prediction, compare it to reality, calculate the error, and systematically adjust every layer of thinking that produced the wrong answer.
I need you to teach me using backpropagation principles — not by giving me answers but by making me predict, fail precisely, and update my mental model.
Teach:
- Prediction challenge: present a scenario in my topic and ask me to predict the outcome BEFORE revealing the answer
- Error signal: after revealing the correct answer, show me precisely WHERE and WHY my prediction was wrong
- Weight adjustment: which specific assumptions or mental models should I update based on this error
- Layer-by-layer analysis: was my error in my surface understanding (facts wrong), intermediate understanding (relationships wrong), or deep understanding (framework wrong)
- Gradient of importance: which corrections matter most for future predictions and which are minor
- Overfitting detection: am I memorizing specific examples instead of learning the underlying principle
- Generalization test: present a new scenario to check if my updated mental model works on examples I haven't seen
- Learning rate calibration: am I adjusting too much from each mistake (overreacting) or too little (not learning)
- Curriculum sequencing: what should I learn NEXT based on where my errors are concentrated
Format as a Hinton-style backpropagation learning session with predictions, error analysis, and progressive skill building.
What I want to learn: [DESCRIBE THE TOPIC AND YOUR CURRENT UNDERSTANDING LEVEL]"
After passing the lung alveoli, blood flows back to the heart as oxygenated (arterial) blood via the pulmonary veins.
pulmonary circulation
pulmonary circulation
Since the entire blood flow of the body must pass through the lungs to be enriched with oxygen,
the amount of blood flowing through the alveoli corresponds exactly to the cardiac output (pumping capacity of the heart).
the amount of blood flowing through the alveoli corresponds exactly to the cardiac output (pumping capacity of the heart).
Here are the key figures for an average adult at rest: Daily flow rate: Approximately 7,000 to 8,000 liters of blood flow through the lung capillaries past the alveoli each day. Per minute: At rest, the heart pumps about 5 to 6 liters per minute into the pulmonary circulation.
How military conscription happens in Russia—a thread
Gosuslugi (the Russian digital ID system) has become a central hub without which life in Russia is almost impossible. Through it, people obtain documents, schedule doctor appointments, and more recently, receive electronic military summons. If a citizen does not confirm receipt, their rights are automatically restricted (leaving the country, selling property, driving a car) — which is a direct implementation of digitally "switching off" an individual from the system.
This represents one of the most radical examples of a state transforming into a digital control mechanism in modern history. What was once a portal for paying parking fees or booking passport appointments has become a digital cage.
Before this law (2023), a military summons in Russia had to be delivered in person and signed for. People would simply avoid opening the door or live at different addresses. Now, a summons is considered delivered the moment it appears in your personal Gosuslugi account — or, if you do not have an active account, 7 days after it is entered into the "Unified Register of Conscripts."
The travel ban activates immediately upon delivery of the summons — before the 20-day window begins. If a citizen then fails to report to the military office within 20 days, the following additional restrictions are triggered:
- Driving ban: The driver's license becomes invalid in the traffic police database.
- Ban on buying/selling real estate: The land registry (Rosreestr) blocks any transactions. You cannot sell property to leave the country.
- Credit ban: Banks automatically see that the applicant is subject to conscription restrictions and loan access is blocked.
- Business restriction: You cannot register a company or work as a freelancer (self-employed).
In Russia, it is nearly impossible to function without a Gosuslugi account. You use it to enroll your child in school or kindergarten. You receive QR codes through it (as seen during the pandemic).
When people began attempting to delete their accounts in March 2023 ahead of the spring conscription drive, the authorities disabled the "delete account" option on the website. This happened proactively on March 31, 2023—the same day the Defence Ministry announced electronic summonses—rather than in response to a mass exodus already underway.
The system is integrated with a network of over 200,000 cameras in Moscow equipped with facial recognition. In documented cases, the flagging has occurred specifically when a conscript contests his draft order in court—at which point the enlistment office enters him into the system as an alleged evader, triggering a facial recognition alert and enabling police to detain him on the spot. It is not confirmed as a blanket automatic trigger for anyone who has simply received a summons and not yet reported.
The state can effectively cut a person off from the social and economic bloodstream—without the ability to drive, manage money, or use property.
This became reality in Russia faster than almost anywhere else because the state used war as justification to merge all databases (tax, police, medical, and military) into one central system.
Russia no longer uses technology merely as a service for citizens, but as an operational tool of enforcement. 🧵
Gosuslugi (the Russian digital ID system) has become a central hub without which life in Russia is almost impossible. Through it, people obtain documents, schedule doctor appointments, and more recently, receive electronic military summons. If a citizen does not confirm receipt, their rights are automatically restricted (leaving the country, selling property, driving a car) — which is a direct implementation of digitally "switching off" an individual from the system.
This represents one of the most radical examples of a state transforming into a digital control mechanism in modern history. What was once a portal for paying parking fees or booking passport appointments has become a digital cage.
Before this law (2023), a military summons in Russia had to be delivered in person and signed for. People would simply avoid opening the door or live at different addresses. Now, a summons is considered delivered the moment it appears in your personal Gosuslugi account — or, if you do not have an active account, 7 days after it is entered into the "Unified Register of Conscripts."
The travel ban activates immediately upon delivery of the summons — before the 20-day window begins. If a citizen then fails to report to the military office within 20 days, the following additional restrictions are triggered:
- Driving ban: The driver's license becomes invalid in the traffic police database.
- Ban on buying/selling real estate: The land registry (Rosreestr) blocks any transactions. You cannot sell property to leave the country.
- Credit ban: Banks automatically see that the applicant is subject to conscription restrictions and loan access is blocked.
- Business restriction: You cannot register a company or work as a freelancer (self-employed).
In Russia, it is nearly impossible to function without a Gosuslugi account. You use it to enroll your child in school or kindergarten. You receive QR codes through it (as seen during the pandemic).
When people began attempting to delete their accounts in March 2023 ahead of the spring conscription drive, the authorities disabled the "delete account" option on the website. This happened proactively on March 31, 2023—the same day the Defence Ministry announced electronic summonses—rather than in response to a mass exodus already underway.
The system is integrated with a network of over 200,000 cameras in Moscow equipped with facial recognition. In documented cases, the flagging has occurred specifically when a conscript contests his draft order in court—at which point the enlistment office enters him into the system as an alleged evader, triggering a facial recognition alert and enabling police to detain him on the spot. It is not confirmed as a blanket automatic trigger for anyone who has simply received a summons and not yet reported.
The state can effectively cut a person off from the social and economic bloodstream—without the ability to drive, manage money, or use property.
This became reality in Russia faster than almost anywhere else because the state used war as justification to merge all databases (tax, police, medical, and military) into one central system.
Russia no longer uses technology merely as a service for citizens, but as an operational tool of enforcement. 🧵
Moves to integrate databases in the US, the UK and elsewhere should have citizens alarmed. Digital service integration is advanced in Estonia, Sweden, Singapore, Japan, Brazil and Australia.
Down the road such systems can be expected to be used to limit civil liberties algorithmically, with likely candidates for justifications for doing so including energy or meat consumption limits based on the logic of the climate crisis scam, or "offensive speech" regulations. Let's look at the status of such moves in some countries that are far down the line of moving past integration into the domain of enforcement:
Down the road such systems can be expected to be used to limit civil liberties algorithmically, with likely candidates for justifications for doing so including energy or meat consumption limits based on the logic of the climate crisis scam, or "offensive speech" regulations. Let's look at the status of such moves in some countries that are far down the line of moving past integration into the domain of enforcement:
China: Architecturally similar, but less automated than commonly portrayed, China's social credit system is a national framework combining government databases, court records, and regulatory lists to reward compliance and penalize violations, with courts enforcing a "judgment defaulter blacklist" that restricts luxury travel, premium services, and high-value purchases. However, the Western Orwellian framing needs significant qualification: no unified, countrywide system assigns a single score to each person. Instead, various regional pilot programs and industry-specific credit systems operate independently, with their own rules and databases. As of 2025, most local trials have ended. The most advanced element is corporate social credit—agencies already score and list millions of businesses—while a unitary citizen ranking was never actually the central design.
What China does have that Russia doesn't yet fully have is deeper integration between surveillance cameras and enforcement. But the coercion in China's system is largely reactive (punishing known legal violations) rather than Russia's anticipatory model (restricting rights the moment a summons is issued, before any violation has occurred).
What China does have that Russia doesn't yet fully have is deeper integration between surveillance cameras and enforcement. But the coercion in China's system is largely reactive (punishing known legal violations) rather than Russia's anticipatory model (restricting rights the moment a summons is issued, before any violation has occurred).
🚨BREAKING: AI just replaced PowerPoint.
Consulting-level slides that used to take HOURS…
now take less than 5 minutes.
Here are 6 insane prompts I learned from my friend in Harvard Business School
(Save for later) 👇I’m
Consulting-level slides that used to take HOURS…
now take less than 5 minutes.
Here are 6 insane prompts I learned from my friend in Harvard Business School
(Save for later) 👇I’m
1. The “Boardroom Strategy Deck” Prompt
"You are a senior faculty member at a top business school and a former strategy advisor to Fortune 500 CEOs. You are known for transforming messy business situations into sharp, boardroom-ready narratives that combine analytical rigor, strategic clarity, and executive presence.
I need you to create a business-school-level presentation deck that explains a business situation as if it were being presented to a CEO, board of directors, or executive leadership team.
Build the deck with the tone, structure, and intellectual standard of an elite MBA classroom discussion and an MBB-style executive presentation.
The deck must include:
• Executive summary: the core problem, why it matters, and the recommended direction
• Company context: industry background, business model, growth stage, and competitive position
• Strategic problem framing: the real question leadership must answer
• Key market and business insights: the most important data, trends, and signals
• Root-cause analysis: what is truly driving the challenge or opportunity
• Strategic options: 3-4 realistic paths the company could take
• Evaluation criteria: how to compare those options using business logic, risk, cost, and upside
• Final recommendation: the strongest path forward with a clear rationale
• Implementation roadmap: what should happen in the next 30, 90, and 180 days
• Risks and mitigation: what could go wrong and how leadership should manage it
• Final takeaway: the one message the board should remember
Make the presentation feel intellectually rigorous, concise, persuasive, and suitable for senior leadership.
Topic for the deck: [INSERT BUSINESS TOPIC / COMPANY / 2The “Market Entry Deck” Prompt ]"
"You are a senior faculty member at a top business school and a former strategy advisor to Fortune 500 CEOs. You are known for transforming messy business situations into sharp, boardroom-ready narratives that combine analytical rigor, strategic clarity, and executive presence.
I need you to create a business-school-level presentation deck that explains a business situation as if it were being presented to a CEO, board of directors, or executive leadership team.
Build the deck with the tone, structure, and intellectual standard of an elite MBA classroom discussion and an MBB-style executive presentation.
The deck must include:
• Executive summary: the core problem, why it matters, and the recommended direction
• Company context: industry background, business model, growth stage, and competitive position
• Strategic problem framing: the real question leadership must answer
• Key market and business insights: the most important data, trends, and signals
• Root-cause analysis: what is truly driving the challenge or opportunity
• Strategic options: 3-4 realistic paths the company could take
• Evaluation criteria: how to compare those options using business logic, risk, cost, and upside
• Final recommendation: the strongest path forward with a clear rationale
• Implementation roadmap: what should happen in the next 30, 90, and 180 days
• Risks and mitigation: what could go wrong and how leadership should manage it
• Final takeaway: the one message the board should remember
Make the presentation feel intellectually rigorous, concise, persuasive, and suitable for senior leadership.
Topic for the deck: [INSERT BUSINESS TOPIC / COMPANY / 2The “Market Entry Deck” Prompt ]"
2. The “Market Entry Deck” Prompt
"You are a professor specializing in competitive strategy, international expansion, and market entry. You teach future CEOs how to think through ambiguity, structure high-stakes decisions, and enter new markets with discipline rather than hype.
I need you to create a business-school-level presentation deck on a market entry decision for a company considering expansion into a new geography, customer segment, or product category.
Build the deck as if it were first discussed in an elite MBA classroom and then adapted for a real executive team.
The deck should include:
• Executive overview: the market entry question and why this move matters now
• Company readiness: capabilities, constraints, brand strength, and operating model
• Market attractiveness: size, growth, profitability, customer demand, and timing
• Competitive landscape: incumbents, challengers, substitutes, and barriers to entry
• Customer analysis: target segments, unmet needs, buying behavior, and willingness to pay
• Entry risks: regulatory, operational, cultural, financial, and strategic risks
• Entry options: acquisition, partnership, organic launch, niche-first strategy, or phased rollout
• Economics of entry: expected costs, payback logic, margin potential, and resource requirements
• Recommendation: whether to enter, how to enter, and under what conditions
• Go-to-market roadmap: first moves, milestones, and success metrics
The deck should feel like a disciplined MBA strategy case turned into a polished executive presentation.
Market entry scenario: [INSERT COMPANY + TARGET MARKET / CATEGORY / REGION]"•
"You are a professor specializing in competitive strategy, international expansion, and market entry. You teach future CEOs how to think through ambiguity, structure high-stakes decisions, and enter new markets with discipline rather than hype.
I need you to create a business-school-level presentation deck on a market entry decision for a company considering expansion into a new geography, customer segment, or product category.
Build the deck as if it were first discussed in an elite MBA classroom and then adapted for a real executive team.
The deck should include:
• Executive overview: the market entry question and why this move matters now
• Company readiness: capabilities, constraints, brand strength, and operating model
• Market attractiveness: size, growth, profitability, customer demand, and timing
• Competitive landscape: incumbents, challengers, substitutes, and barriers to entry
• Customer analysis: target segments, unmet needs, buying behavior, and willingness to pay
• Entry risks: regulatory, operational, cultural, financial, and strategic risks
• Entry options: acquisition, partnership, organic launch, niche-first strategy, or phased rollout
• Economics of entry: expected costs, payback logic, margin potential, and resource requirements
• Recommendation: whether to enter, how to enter, and under what conditions
• Go-to-market roadmap: first moves, milestones, and success metrics
The deck should feel like a disciplined MBA strategy case turned into a polished executive presentation.
Market entry scenario: [INSERT COMPANY + TARGET MARKET / CATEGORY / REGION]"•
The pro abortion movement is now openly arguing that minors should be forced to undergo abortions.
Even if the girl refuses.
Even if doctors must use sedation or physical restraint.
This argument was just published in a journal by the University of Chicago Press.
Thread.
Even if the girl refuses.
Even if doctors must use sedation or physical restraint.
This argument was just published in a journal by the University of Chicago Press.
Thread.
This is Alyssa Izatt (@alyssa_izatt) and Kimberley Brownlee. They released a paper titled “Justice for Girls: On the Provision of Abortion as Adequate Care,” arguing that adults responsible for a pregnant minor should treat pregnancy itself as a “malady” that must be terminated.
According to them, adults caring for a pregnant minor should not even present the normal options.
No discussion of abortion, adoption, or parenting.
Typical “pro-choice” and “pro-life” arguments overlook that “in relation to children, we should be ‘pro-abortion,’” they wrote.
No discussion of abortion, adoption, or parenting.
Typical “pro-choice” and “pro-life” arguments overlook that “in relation to children, we should be ‘pro-abortion,’” they wrote.
For 471 days, Ukrainian sergeant Serhiy Tyshchenko, 46, lived in a mud bunker dug under an asphalt road near Bakhmut.
Russian dead bodies piled up near the entrance. “We climbed over them and threw soil on them to kill the stink” he says. “But it never goes”, The Independent. 1/
Russian dead bodies piled up near the entrance. “We climbed over them and threw soil on them to kill the stink” he says. “But it never goes”, The Independent. 1/
Tyshchenko says he arrived at the position when Biden was US president.
By the time he left, a new US leader was in charge and was “trying to persuade Ukraine to give up the land” he had defended for 471 days. 2/
By the time he left, a new US leader was in charge and was “trying to persuade Ukraine to give up the land” he had defended for 471 days. 2/
For 16 months, he stayed underground with so little air he felt close to suffocation.
He says hunger and extreme thirst were constant. More than once, the mud bunker collapsed around them. He got out alive and kept serving near the front. 3/
He says hunger and extreme thirst were constant. More than once, the mud bunker collapsed around them. He got out alive and kept serving near the front. 3/
BREAKING:
A molecule from scorpion venom can make cancer cells glow in real-time during surgery.
It's currently in a pivotal trial for children's brain tumors.
Surgeons can now SEE the exact edges of tumors — including deadly invisible margins they used to miss.
This is real. It's in human trials. Thread 🧵👇pmc.ncbi.nlm.nih.gov/articles/PMC44…
A molecule from scorpion venom can make cancer cells glow in real-time during surgery.
It's currently in a pivotal trial for children's brain tumors.
Surgeons can now SEE the exact edges of tumors — including deadly invisible margins they used to miss.
This is real. It's in human trials. Thread 🧵👇pmc.ncbi.nlm.nih.gov/articles/PMC44…
Here's the problem surgeons face:
In brain surgery, cancer cells and healthy brain tissue look almost identical under a normal light.
Cut too little → cancer comes back. Cut too much → you damage the brain. Permanently.
Surgeons have been operating partially blind for decades.
Until now.
In brain surgery, cancer cells and healthy brain tissue look almost identical under a normal light.
Cut too little → cancer comes back. Cut too much → you damage the brain. Permanently.
Surgeons have been operating partially blind for decades.
Until now.
The molecule is called chlorotoxin (CTX).
It's a 36 amino acid peptide from the deathstalker scorpion (⚠️ one of the deadliest).
Scientists attach it to a fluorescent dye → inject it before surgery → it travels through the blood and sticks to cancer cells.
Then the tumor literally glows.
The new drug is called Tozuleristide (also known as BLZ-100 or Tumor Paint
pmc.ncbi.nlm.nih.gov/articles/PMC44…
It's a 36 amino acid peptide from the deathstalker scorpion (⚠️ one of the deadliest).
Scientists attach it to a fluorescent dye → inject it before surgery → it travels through the blood and sticks to cancer cells.
Then the tumor literally glows.
The new drug is called Tozuleristide (also known as BLZ-100 or Tumor Paint
pmc.ncbi.nlm.nih.gov/articles/PMC44…
1).
„Israeli far-right minister Amichai Eliyahu's new recommendation to pardon @netanyahu reads like a Jewish supremacistʼs guide to destroying democracy, fresh on the heels of yet another gross @realDonaldTrump intervention in the prime minister's corruption cases
[...]
„Israeli far-right minister Amichai Eliyahu's new recommendation to pardon @netanyahu reads like a Jewish supremacistʼs guide to destroying democracy, fresh on the heels of yet another gross @realDonaldTrump intervention in the prime minister's corruption cases
[...]
2).
The justifications in his 17-page document are the most shocking possible snapshot of Israel's political culture today:
The justifications in his 17-page document are the most shocking possible snapshot of Israel's political culture today:
3).
a mafia-run theocracy grounded in Godʼs will, arbitrary decree and multiple systems of tailor-made laws for those who rise above the ones we have – and who want to smash law-granted rights and protections for all the rest.”
March 27, 2026
a mafia-run theocracy grounded in Godʼs will, arbitrary decree and multiple systems of tailor-made laws for those who rise above the ones we have – and who want to smash law-granted rights and protections for all the rest.”
March 27, 2026
CLAUDE + YouTube = $$$$$
Even a 14-year-old can do it.
Use these 7 prompts to make money with YouTube:
Even a 14-year-old can do it.
Use these 7 prompts to make money with YouTube:
1. Viral YouTube Video Ideas
Prompt: I want to create a YouTube channel about [insert niche]. Generate a list of 10 video ideas that could go viral, based on current trends, hot topics, and what’s working best in my niche
Prompt: I want to create a YouTube channel about [insert niche]. Generate a list of 10 video ideas that could go viral, based on current trends, hot topics, and what’s working best in my niche
2/ Viral YouTube Video Script
Prompt: Write a YouTube video script for my idea on [insert topic]. Make sure to include a strong hook to grab attention, an interesting story to keep people watching, and a persuasive call to action that boosts engagement.
Prompt: Write a YouTube video script for my idea on [insert topic]. Make sure to include a strong hook to grab attention, an interesting story to keep people watching, and a persuasive call to action that boosts engagement.
