Elon Musk's actual thinking framework was used as AI prompts.
It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics. Here are the 15 prompts that changed how I solve problems:
1. "What are the physics of this problem?"
Musk strips everything to objective reality. "I'm struggling to grow my newsletter. What are the physics of this problem?". AI reveals the hard constraints, the real forces, and the non-negotiable bottlenecks.
2. "If I couldn’t rely on existing assumptions, how would I solve this?"
Assumptions are invisible cages. "My pricing model is based on what competitors do. If I removed all assumptions, how would I solve this?". AI breaks the mental autopilot.
3. "What are the problem’s fundamental components?"
Musk breaks problems into atoms. "My business is plateauing. What are the fundamental components of this problem?". AI decomposes your challenge into parts that can actually be solved.
4. "What would the optimal solution look like if cost didn’t exist?"
Constraints ruin creativity too early. "I need to redesign onboarding. What would the optimal solution look like if cost didn’t exist?". AI generates the ideal version first, then works backward.
5. "If I were forced to cut 90 percent of this, what would remain?"
Brutal prioritization. "My product roadmap has 50 items. If I had to cut 90 percent, what remains?". AI forces clarity through elimination.
6. "If this failed completely, what would be the root cause?"
Musk starts with failure to engineer success. "I'm launching a new product. If it failed, what would be the root cause?". AI predicts the exact failure modes in advance.
7. "What would a solution look like if I ignored industry norms?"
Musk bypasses entire industries by refusing to copy them. "I'm starting a consulting business. What would a solution look like if I ignored industry norms?" AI gives you the non obvious path.
Next part:⤵️ ⤵️
It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics. Here are the 15 prompts that changed how I solve problems:
1. "What are the physics of this problem?"
Musk strips everything to objective reality. "I'm struggling to grow my newsletter. What are the physics of this problem?". AI reveals the hard constraints, the real forces, and the non-negotiable bottlenecks.
2. "If I couldn’t rely on existing assumptions, how would I solve this?"
Assumptions are invisible cages. "My pricing model is based on what competitors do. If I removed all assumptions, how would I solve this?". AI breaks the mental autopilot.
3. "What are the problem’s fundamental components?"
Musk breaks problems into atoms. "My business is plateauing. What are the fundamental components of this problem?". AI decomposes your challenge into parts that can actually be solved.
4. "What would the optimal solution look like if cost didn’t exist?"
Constraints ruin creativity too early. "I need to redesign onboarding. What would the optimal solution look like if cost didn’t exist?". AI generates the ideal version first, then works backward.
5. "If I were forced to cut 90 percent of this, what would remain?"
Brutal prioritization. "My product roadmap has 50 items. If I had to cut 90 percent, what remains?". AI forces clarity through elimination.
6. "If this failed completely, what would be the root cause?"
Musk starts with failure to engineer success. "I'm launching a new product. If it failed, what would be the root cause?". AI predicts the exact failure modes in advance.
7. "What would a solution look like if I ignored industry norms?"
Musk bypasses entire industries by refusing to copy them. "I'm starting a consulting business. What would a solution look like if I ignored industry norms?" AI gives you the non obvious path.
Next part:
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8. "What part of this is actually impossible and what part just feels impossible?"
Most limits are emotional. "I'm considering a pivot. What part of this feels impossible instead of being impossible?". AI separates physics from fear.
9. "What is the minimum viable breakthrough?"
Not minimum viable product. Minimum viable breakthrough. "I want to grow a YouTube channel. What is the minimum viable breakthrough?". AI finds the foundational leap that unlocks growth.
10. "If I restarted this entire project today, knowing what I know now, what would I build?"
Clean slate thinking. "I have a messy SaaS that evolved randomly. If I restarted today, what would I build?". AI reveals the elegant version buried inside the bloated one.
11. "What are the hidden constraints I'm not questioning?"
Most problems hide fake walls. "My agency is stuck at 20 clients. What hidden constraints am I not questioning?". AI exposes self imposed ceilings.
Next part:⤵️ ⤵️
Most limits are emotional. "I'm considering a pivot. What part of this feels impossible instead of being impossible?". AI separates physics from fear.
9. "What is the minimum viable breakthrough?"
Not minimum viable product. Minimum viable breakthrough. "I want to grow a YouTube channel. What is the minimum viable breakthrough?". AI finds the foundational leap that unlocks growth.
10. "If I restarted this entire project today, knowing what I know now, what would I build?"
Clean slate thinking. "I have a messy SaaS that evolved randomly. If I restarted today, what would I build?". AI reveals the elegant version buried inside the bloated one.
11. "What are the hidden constraints I'm not questioning?"
Most problems hide fake walls. "My agency is stuck at 20 clients. What hidden constraints am I not questioning?". AI exposes self imposed ceilings.
Next part:
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12. "How would I solve this if I only cared about physics, not politics?"
Musk removes social friction from problem solving. “I need to restructure my team. How would I solve this if I only cared about physics?” AI gives the uncompromised version first, then you can soften it.
13. "If I had to achieve this 10 times faster, what would I do?"
Extreme deadlines force extreme creativity. "I'm planning a 6 month launch. If I had to achieve it 10 times faster, what would I do?" AI re-engineers your process into speed.
14. "What would this look like if it had to scale to millions?"
Musk thinks in orders of magnitude. "I'm creating a small online course. What would this look like if it had to scale to millions?". AI finds failure points and opportunities early.
15. "Which part of this solution creates the most leverage?"
Musk always builds the part that changes everything. "My marketing strategy feels scattered. What creates the most leverage?". AI reveals the multiplier.
The secret multiplier: Stack these together
Use this prompt: "Break my problem into fundamental truths, strip all assumptions, find the optimal solution, identify hidden constraints, and rebuild the idea from first principles.". AI becomes a first principles engineer inside your creative process.
AI Post🪙 | Our X 🥇
Musk removes social friction from problem solving. “I need to restructure my team. How would I solve this if I only cared about physics?” AI gives the uncompromised version first, then you can soften it.
13. "If I had to achieve this 10 times faster, what would I do?"
Extreme deadlines force extreme creativity. "I'm planning a 6 month launch. If I had to achieve it 10 times faster, what would I do?" AI re-engineers your process into speed.
14. "What would this look like if it had to scale to millions?"
Musk thinks in orders of magnitude. "I'm creating a small online course. What would this look like if it had to scale to millions?". AI finds failure points and opportunities early.
15. "Which part of this solution creates the most leverage?"
Musk always builds the part that changes everything. "My marketing strategy feels scattered. What creates the most leverage?". AI reveals the multiplier.
The secret multiplier: Stack these together
Use this prompt: "Break my problem into fundamental truths, strip all assumptions, find the optimal solution, identify hidden constraints, and rebuild the idea from first principles.". AI becomes a first principles engineer inside your creative process.
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US private nonresidential fixed real investment in data centers has soared +300% over the last 3 years. During the same period, inflation-adjusted nonresidential investment in structures excluding data centers has barely seen any growth.
These are offices, shopping centers, hotels, warehouses, factories, manufacturing facilities, and other commercial buildings. Meanwhile, AI-related spending has contributed 62.5%, or 1 percentage point, to the 1.6% US GDP growth in the first 6 months of 2025.
Without AI, the US would be in a recession.
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Media is too big
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Ilya Sutskever predicts that as AI becomes visibly powerful, human behavior will shift in new ways
Frontier labs will work together on safety, and governments and the public will push to act. Once AI feels truly powerful, the industry's mindset will shift, and companies will become more cautious.
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Frontier labs will work together on safety, and governments and the public will push to act. Once AI feels truly powerful, the industry's mindset will shift, and companies will become more cautious.
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A study by MIT and Hugging Face found that Chinese-made open-source AI models have overtaken American developers in global downloads for the first time, capturing 17 percent of the market compared to 15.8 percent for U.S. creators in the past year.
DeepSeek and Alibaba's Qwen dominate Chinese downloads, while U.S. giants like Google, Anthropic and OpenAI remain focused on closed, proprietary systems.
Article. Paper.
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A lot of tasks inside jobs can be automated, but full roles usually mix those tasks with human parts like context, trust, and on the spot judgment that AI still struggles with. Job postings already reflect this shift, with demand for “AI fluency” growing about 7x in 2 years
Highly routine brain work like simple accounting flows or boilerplate coding is most exposed, because AI can already handle document prep, pattern matching, and basic research. To unlock the projected 2.9 trillion dollars per year of value by 2030 from AI, companies have to redesign how work is split between humans, agents, and robots instead of just bolting AI onto old processes.
Source.
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Data center capacity that is built, under construction, or in planning hit a record ~80 gigawatts in 2025. To put this into perspective, this much capacity could theoretically power up to 60 MILLION homes.
Capacity has more than DOUBLED over the last year and is now 8 times higher than it was in 2022. This comes as planned projects make up ~65 gigawatts of the total, an all-time high.
AI expansion will soon be ALL about energy.
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Someone Asked Nano Banana Pro to show how everyday things are made. The visuals hit harder than any documentary.
Here are 10 visuals that explain it perfectly with prompts:
1. Pyramids:
2. Ramen:
3. Chocolate:
4. Smartphone:
5. Jeans (Denim):
6. Bread:
7. Cars:
8. Shoes:
9. Paper:
10. Electric Guitar:
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Here are 10 visuals that explain it perfectly with prompts:
1. Pyramids:
“Blueprint style diagram showing how the Egyptian pyramids were made. Multiple labeled steps: stone quarrying, sled transport, ramp construction, block stacking, interior chamber layout. Cross sections, arrows, minimal color, archaeological accuracy, clean vector lines.”
2. Ramen:
“Detailed food process diagram showing how Japanese ramen is made. Labeled steps: broth simmering, noodle making, tare preparation, toppings, assembly. Top down and cutaway views, clean illustrations, minimal palette, neat icons, steam wisps for warmth.”
3. Chocolate:
“Educational diagram showing how chocolate is made. Labeled phases: cacao harvesting, fermentation, drying, roasting, grinding, conching, tempering, molding. Clean infographic style, botanical details, soft colors, clear arrows and step boxes.”
4. Smartphone:
“Technical cutaway diagram showing how a smartphone is made. Labeled layers: glass panel, OLED display, touch sensors, battery assembly, motherboard, camera module, speaker, frame. Step by step manufacturing stages with clean vector lines and minimal color.”
5. Jeans (Denim):
“Process diagram showing how denim jeans are made. Labeled steps: cotton harvesting, spinning, indigo dyeing, weaving, cutting, stitching, rivets, washing and distressing. Clean lines, textile textures, blueprint aesthetic with white labels.”
6. Bread:
“Wholesome diagram showing how artisan bread is made. Labeled stages: mixing, autolyse, kneading, fermentation, shaping, proofing, baking. Hand drawn texture, warm neutral palette, arrows and step indicators.”
7. Cars:
“Automotive assembly diagram showing how a car is made. Labeled sections: chassis construction, engine assembly, drivetrain, interior installation, robotics line, paint shop, final inspection. Blueprint style, clean vector lines, cross sections.”
8. Shoes:
“Footwear manufacturing diagram showing how sneakers are made. Labeled steps: design sketch, pattern cutting, upper stitching, lasting, sole molding, bonding, finishing. Crisp vectors, minimal colors, exploded view of shoe layers.”
9. Paper:
“Papermaking diagram showing how paper is made. Labeled stages: wood pulping, screening, pressing, drying, smoothing, rolling. Classic infographic look, water and fiber textures, clear step arrows.”
10. Electric Guitar:
“Instrument craft diagram showing how an electric guitar is made. Labeled steps: body shaping, neck carving, fretwork, pickup installation, wiring, assembly, finishing. Clean cutaway views, wood textures, annotated labels.”
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