Michael Pollan says the origin of consciousness is with feelings, not thoughts.
Not the cortex where reasoning happens, but the brainstem where a living body regulates itself against the world.
Consciousness may arise from friction with reality.
Today’s AI processes information. It does not regulate a vulnerable body with metabolic needs.
If feeling is foundational, computation alone may never be enough.
A market crash in the age of AI would permanently reshape our economies. Right now companies adopt AI because they want to; not because they need to. In a crash, shifting productivity from humans to AI becomes essential for economic survival. The transition would be rapid.
🚨 Your head is literally older than your feet because of Einstein’s theory of relativity.
Time passes slightly faster at higher elevations where gravity is weaker, so your head experiences time a bit more quickly than your feet, which are closer to Earth’s center.
This difference is incredibly small, but over an entire lifetime it adds up to tiny fractions of a second.
Scientists at NIST confirmed this effect using ultra-precise atomic clocks placed at different heights.
The phenomenon is known as gravitational time dilation, and it shows that time flows differently depending on gravity.
The Mac Mini's unified memory (up to 128GB on M4 models) and bandwidth are efficient for lighter tasks, but NVIDIA DGX systems (like H100-based) excel in raw GPU compute with multiple cards (e.g., 8x GPUs, 640GB+ VRAM total), NVLink for fast inter-GPU transfers, and massive FLOPS for training/inference on trillion-parameter models. For high-scale AI like swarm agents, it's about parallel processing power over single-chip efficiency.
Elon is literally building an operating system for civilizations:
- Mobility (Tesla)
- Intelligence (xAI)
- Robotics (Optimus)
- Communication (X)
- Energy (Tesla Energy)
- Space Travel (SpaceX)
- Connectivity (Starlink)
- Augmentation (Neuralink)
True.
Once the solar energy generation to robot manufacturing to chip fabrication to AI loop is closed, conventional currency will just get in the way.
Just wattage and tonnage will matter, not dollars.
All timelines are too conservative.
We will soon have billions of John von Neumann level IQ agents.
Progress will accelerate thousands to millions fold in a matter of 5-10 years, not decades or centuries.
We will all have thousands of our personal AI workers(agents), everyone will be able to run huge projects and do it alone.
1 person will have capability of 100 000 people corporation. Longer term there will be almost no limit.
AGIs/ASIs will be doing billions worth of human science and innovation work hours in minutes, working 24/7/365, and collaborating with billions of other AIs.
AI will completely change and revolutionize everything, and it will happen already by early 2030s. Solve fusion, solve aging, solve scarcity, reinvent current economic system, reinvent almost everything.
🚨 GERMANY JUST DROPPED THE FSD VERDICT 🚨
Auto Bild, one of Europe’s toughest car magazines, spent a full week with Tesla FSD Supervised v14.1.7.
Their verdict?
“MIND-BLOWINGLY GOOD”
→ 700 km, zero critical interventions
→ Handles construction zones, cyclists, roundabouts like a local
→ “Already safer than most human drivers”
They’re literally begging regulators: “APPROVE THIS NOW!”
The future isn’t coming to Europe… it’s already here.
Read it & weep, bureaucrats: https://t.co/oQgYcjCT9Z
@Tesla@elonmusk@Tesla_AI@AutoBild
#FSDEurope #TeslaFSD #GameOverForDoubters 🤖🇩🇪💥
THE AI JOB MASSACRE NOBODY'S TALKING ABOUT: YOUR COLLEGE DEGREE JUST BECAME TOILET PAPER
Let's cut through the BS: AI has eliminated 77,999 jobs in 2025 across 342 tech companies.
37% of companies using AI say the technology replaced workers in 2023 because "they were no longer needed."
And in 2024, 44% using or planning to use AI say employees will "definitely" or "probably" be laid off.
But here's what makes this different from every other tech revolution: major tech firms reduced new graduate hiring by 25% in 2024 compared to 2023.
These aren't positions getting automated - these are jobs that no longer exist.
The con everyone's selling: "AI will create new jobs!"
Sure. While 85 million jobs are projected to be displaced by 2025, 97 million new roles may emerge. Sounds great until you read the fine print:
77% of new AI-related jobs require master's degrees, and 18% require doctoral degrees. Your four-year degree? Worthless. The new entry point is a PhD most people can’t afford.
What's actually happening: A major tech CEO revealed that 30% of company code is now AI-written. At the same time, over 40% of recent layoffs targeted software engineers.
Companies are dissolving copywriting divisions and replacing substantial portions of their coding staff. More than 80% of digital marketers already fear AI will replace content writers - and they're right.
Occupations at highest risk: computer programmers, accountants, auditors, legal and administrative assistants, customer service reps, telemarketers, proofreaders, credit analysts.
Notice a pattern? White-collar, college-educated, once-stable careers - the exact jobs your parents told you were "safe."
The demographic timebomb: 79% of employed women in the U.S. work in jobs at high risk of automation, compared to 58% of men.
Globally, 4.7% of women’s jobs face severe disruption from AI versus 2.4% for men.
In high-income countries? Nearly 10% of women’s jobs are at highest risk compared to just over 3% for men. This isn't just job loss - it's systematic wealth destruction along gender lines.
The prediction nobody wants to make: Leading AI executives warn that AI could eliminate half of all entry-level white-collar jobs within 5 years.
Other global tech leaders back this projection, forecasting potential impact to half the global workforce by 2027.
We're not talking about a gradual transition. We're talking about 14% of workers already displaced by automation or AI, with estimates that AI could replace the equivalent of 300 million full-time jobs worldwide.
January 2025 saw the lowest job openings in professional services since 2013 - a 20% year-over-year drop. 40% of white-collar job seekers in 2024 failed to secure even an interview.
You're seeing the early days of something unprecedented: an entire generation locked out of the careers they trained for, watching AI do their jobs better, faster, and for pennies on the dollar.
The social contract was "get educated, work hard, build a career." AI just voided that contract.
And nobody - not universities, not politicians, not companies - has a plan for what comes next.
Sources: FinalRoundAI, AIPRM, SSRN, Fox Business, Goldman Sachs, National University, AIMultiple, WORK ON PEAK, Nexford University