Been tracking Survivor 50 odds on prediction markets and some of the favorites surprised me. Interesting to see where real money is flowing compared to Twitter predictions and fan rankings.
This breakdown tracks live odds, market movement, and contestant probabilities:
Laika Labs Survivor 50 Odds Tracker
Curious who everyone here thinks is overpriced or underrated right now.
Kesi ne gleeden app use kiya to data married women
They are losing money serving billions of users with free chatbots. If they charged even $2 per month, they could easily make billions in revenue.
Compare AI coding vs human coding. A task AI does for $200, a human can do for $20, but AI will do it 100x faster. Yes, it still makes mistakes, but AI is not human. It learns every single day.
Coding as we know it is fading. Future engineers will manage AI agents instead of writing every line manually. Many coders disagree because they are going through an existential crisis.
Imagine someone spending 35 years studying math, physics, and problem solving, and now a chatbot can do it in seconds. Humans have an ego problem.
Remember when people said 2 years ago that ChatGPT could only write emails and basic web content? Today even critics admit AI can already write better code than many humans. The only issue right now is cost.
In the next few years, models will get cheaper as training improves and energy costs fall. On Earth, the cost of technology always trends downward.
So why are humans scared of replaceable tasks? Why not let AI write the code, let robots do the labor, and let humans focus on bigger goals?
We should be thinking about making humanity interplanetary instead of living in fear every time technology evolves.
They are losing money serving billions of users with free chatbots. If they charged even $2 per month, they could easily make billions in revenue.
Compare AI coding vs human coding. A task AI does for $200, a human can do for $20, but AI will do it 100x faster. Yes, it still makes mistakes, but AI is not human. It learns every single day.
Coding as we know it is fading. Future engineers will manage AI agents instead of writing every line manually. Many coders disagree because they are going through an existential crisis.
Imagine someone spending 35 years studying math, physics, and problem solving, and now a chatbot can do it in seconds. Humans have an ego problem.
Remember when people said 2 years ago that ChatGPT could only write emails and basic web content? Today even critics admit AI can already write better code than many humans. The only issue right now is cost.
In the next few years, models will get cheaper as training improves and energy costs fall. On Earth, the cost of technology always trends downward.
So why are humans scared of replaceable tasks? Why not let AI write the code, let robots do the labor, and let humans focus on bigger goals?
We should be thinking about making humanity interplanetary instead of living in fear every time technology evolves.
l am telling the truth without any bias that in the seven worlds this is a fact that there is nothing more delightful than a young woman and nothing which is a greater source of sorrow to man
मैं बिना किसी पक्षपात के सत्य कह रहा हूँ कि सातों लोकों में युवा स्त्री से बढ़कर कोई आनंददायक वस्तु नहीं, और पुरुष के लिए उससे बढ़कर दुःख का कारण भी कुछ नहीं है।”
— Bhartṛhari
— Bhartṛhari, 5th century CE
To build AI, companies are printing enormous amounts of money through massive capital expenditure. Most of this CapEx is coming from the top seven companies like Google, Microsoft, Amazon, Meta, and Apple. Around $800 billion in 2026 alone is flowing toward Nvidia and other companies in Nvidia’s supply chain, such as TSMC, Samsung, and data center infrastructure providers.
If these companies are spending this much money, it means Nvidia, Samsung, and related companies are earning massive profits. Combined, they are generating around $300–400 billion in revenue and nearly $100 billion in net profit.
These companies will then reinvest those profits into foundational AI models and robotics startups. Over the next two years, we will likely see major robotics companies emerge. In fact, the first trillion-dollar company created in the AI era — or even the fastest company to reach a $10 trillion valuation — may not be OpenAI or Anthropic. It could be a robotics company.
Robotics will require enormous amounts of electronics and hardware, and eventually robots will replace many workers. In the end, only a small percentage of people will truly benefit from AI. Maybe just 1–2% of the world population will capture most of the value.
For example, from this $800 billion AI spending cycle, only a few million people may see the real economic upside, while everyone else risks becoming a kind of digital labor force. Human ego and behavior will prevent most people from fully using AI and robotics for deep productivity gains. Instead, many people will still work in different roles that mainly serve elite institutions and corporations.
modern problem 90 percent of men want peace and sex but in India. You can get both through money, so we chase it because money provides peace and sex. In India, marriage is still the biggest source of pleasure since we are so focused on money. When we pursue wealth, we often compromise our peace; however, when the money comes in, we tend to indulge in pleasures. But 80 percent of that pleasure—especially regarding relationships and sex—often leads to sadness and difficulties along the way. Men forget that the most important thing is actually peace.
guys I Analyzed Anthropic's Entire Job Board Here's What They're Hiring For
Guys, I have now written a beginner's guide to using Claude and other agents to research global stock
Link:- https://substack.com/@journalbybabaji/note/p-196282103?r=1tggq1
Hello Guys I into AI and writing And I writen a free guide to how do stock research with the help of AI link : https://substack.com/@journalbybabaji/note/p-193964073?r=1tggq1
Energy = The Master Resource
Every good or service is, at its core, a transformation of energy + matter.
If energy becomes near-infinite and free, then:
Manufacturing costs drop (robots + solar).
Transportation costs drop (EVs + storage).
Computing costs drop (AI + cheap power).
Even desalination makes water abundant.
So in theory, abundant energy makes abundance in almost everything possible.
Energy = The Master Resource
Every good or service is, at its core, a transformation of energy + matter.
If energy becomes near-infinite and free, then:
Manufacturing costs drop (robots + solar).
Transportation costs drop (EVs + storage).
Computing costs drop (AI + cheap power).
Even desalination makes water abundant.
So in theory, abundant energy makes abundance in almost everything possible.
There is no argument that AI can replace humans completely. It can't replace every role, but it can reduce team size by 50–60%. We can debate whether AI models are costly or not, but the output AI is generating is already very good and will continue to improve. In the future, we may get better models with larger context windows. Like ChatGPT, AI may not completely replace graphic designers, but we may see a shift toward full-stack roles where a person needs design knowledge, marketing, product operations, project management, and coding skills.