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James
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James
@jamescoder12
Al Educator. Helping you to make money with Al, Tech Tools & Digital Skills | Dm / Mail [email protected] for paid collaboration
เข้าร่วม Nisan 2025
231 กำลังติดตาม28.9K ผู้ติดตาม

@jackcoder0 One of the strongest arguments yet for why AI governance must include economic modeling, not just safety discussions.
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James รีทวีตแล้ว

Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·

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Use Case C: The Data Table & Strategy Trick
Once that raw competitor data is loaded into NotebookLM, it’s time to synthesize.
Prompt it to format the unstructured research. It will instantly generate a clean Data Table comparing metrics (which you can export directly to Google Sheets with one click).
Bonus: You can even ask NotebookLM to act as a consultant and generate a strategic plan of action based entirely on the successful competitor data you just fed it.
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Use Case B: Autonomous Competitor Analysis
Want to crush your niche?
Use Perplexity's agent (via the Comet browser) to autonomously analyze the top competitors in your field over the last 30 days. It will literally browse the web, open channels, and compile the data for you hands-free.
Once it's done, just copy the raw text analysis and paste it into NotebookLM as a "Copied Text" source.
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James รีทวีตแล้ว
James รีทวีตแล้ว
James รีทวีตแล้ว
James รีทวีตแล้ว

One of the biggest design flaws on the internet: Everything is optimized to continue.
Nothing is optimized to conclude.
🎯Feeds don’t end.
🎯Videos autoplay.
🎯Recommendations multiply endlessly.
So your brain never gets a clean stopping signal.
And without realizing it, your attention becomes fragmented across hundreds of micro-interactions every day.
That’s why I think the next generation of recommendation systems needs a different philosophy.
Not:
“How do we keep users here longer?”
But:
“How do we help them leave with something valuable?”
That shift changes everything.
This feels like an early step toward that thinking:collective-info.com/login
Good technology captures attention.
Great technology respects it.


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James รีทวีตแล้ว

Most AI voice apps still feel separate from your actual workflow.
Been testing @Typelessdotcom recently, and this is the first time an AI voice experience genuinely felt seamless.
The biggest difference:
You can keep speaking while looking around your phone.
I was checking X trends, opening notes, replying to messages, researching content ideas — and the conversation kept flowing naturally in the background.
That alone changes the experience completely.
The “Ask Anything” feature is what makes it actually useful day-to-day though.
Instead of bouncing between tabs searching manually, I could just ask questions naturally while working and get instant breakdowns, summaries, ideas, and context in real time.
It feels less like opening an AI app…
…and more like having an assistant quietly working alongside you while you do everything else.
👉 Try it now : typeless.com/?via=jamesbond
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James รีทวีตแล้ว

List of 20 Websites, where you can learn any top earning skill:
1. Brilliant org: Focus on STEM subjects with interactive problem-solving.
2. Skillshare: Emphasizes creative skills with project-based learning.
3. Codecombat: Learn coding through a gamified experience.
4. Datacamp: Specializes in data science and analytics.
5. Exercism: Practice coding with mentorship.
6. Sololearn: Mobile-first approach to learning coding.
7. Freecodecamp: Learn web development with a focus on projects.
8. Mimo: Learn to code on your mobile device.
9. Katacoda: Interactive learning platform for software engineers.
10. Curiositystream: Documentaries and nonfiction series for learning.
11. Skillcrush: Digital skills with a focus on career changers.
12. Twitch tv: Live streaming platform with educational content.
13. Chesscademy: Learn chess through interactive lessons.
14. Finimize: Daily financial news and education.
15. Brainscape: Flashcard-based learning for various subjects
16. Memrise: Language learning with a focus on memorization techniques
17. Domestika: Creative courses taught by professionals
18. Brilliant: Math and science courses with a problem-solving approach
19. Instructables: Learn how to make almost anything with user-created tutorials
20. Masterclass: Learn from celebrity experts in various fields.
For more follow me @LearnWithSubhan

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I’ve been spending way too much time testing AI Agents like OpenClaw and Hermes, and honestly it started feeling more complicated than useful.
Then I checked out Helio @helioim_ai, it’s a different approach.
Instead of building agents or writing prompts, you just explain what you want done, and it sets up an AI team around that goal.
Each AI teammate has its own role and identity, and they actually work together in the same workspace. You can even mention them like real people, which makes it feel less like “using a tool” and more like working with a small team.
What I noticed:
- You don’t set up workflows manually, it builds them for you
- The AI keeps working even when you’re offline
- Team members can collaborate inside the same channel
- Human approval is still there when something important needs to happen
It’s not just another chat or sidebar assistant. AI is actually built into the workflow, instead of sitting outside it.
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James รีทวีตแล้ว

🚨 Claude + Runway Aleph 2.0 = $1,000/day ad machine.
One video. Unlimited variations.
Zero reshoots.
Here are 7 prompts marketers are using right now 👇
Try it here👇
runwayml.com/sumonkabir-ale…
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James รีทวีตแล้ว

🎉 JUST IN: GLM 5.1 and Gimini 3.5 Flash now available on GlobalGPT — free to try!
Create AI videos with dynamic comic IPs, lively ads, energetic dance videos, and unique running videos in various styles, all powered by Happy Horse and Seedance.
No limits. No regional barriers. No invite codes. 👇
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