AI is becoming the opium of the people
First, they make everyone dependent on it.
They ensure that students can no longer write without it.
They ensure that workers can no longer think without it.
They ensure that companies can no longer function without it.
They ensure that creative people can no longer produce anything without it.
Once the dependency is complete, you raise the prices for the tokens.
That is the business model that no one wants to say out loud. Not intelligence as liberation, but intelligence as dependence on subscriptions.
It’s not primarily about replacing people with AI.
People are renting back their own cognitive abilities, one token at a time.
#AI #society
Most people are using the wrong AI tool for the job.
It’s like using a hammer for every problem and wondering why productivity isn’t improving.
In 2026, the winners won’t be the people who use AI.
They’ll be the people who know WHICH AI to use, WHEN to use it, and HOW to combine them.
That’s why I put together this simple guide:
✅ Best AI models for productivity
✅ Advanced reasoning & problem solving
✅ Coding & software development
✅ Creative writing & content creation
✅ Research & web search
✅ Long document analysis
✅ Multimodal tasks (image, audio, video & text)
✅ Open-source & self-hosted AI
✅ Business strategy
✅ Learning & education
The AI landscape changes incredibly fast.
What worked a year ago may no longer be the best option today.
The biggest productivity gains come from matching the right model to the right task.
For example:
• Claude and ChatGPT excel at writing and productivity
• DeepSeek shines in reasoning and open-source use cases
• Gemini is strong in multimodal workflows
• Perplexity remains one of the best research companions
No single model wins every category.
The real power comes from knowing when to use each one.
Which AI model do you find yourself using the most right now?
ChatGPT, Claude, Gemini, Grok, DeepSeek, Perplexity, or something else?
👇 Share your answer in the comments.
P.S. If you’re exploring how AI can fit into your work and workflow, you can take a free AI diagnostic at https://t.co/I4zR8aXXi5.
🇫🇷🇧🇭 Aluminium Bahrain (Alba) rachète à 100 % Aluminium Dunkerque pour 2,2 milliards de dollars.
🏭 Le géant bahreïni Alba devient propriétaire de la plus grande fonderie d’aluminium d’Europe, située à Dunkerque.
💰 Bpifrance investit 100 millions d’euros (6 % du capital) et obtient un siège au conseil d’administration.
👷 Alba s’engage formellement sur le maintien des 750 emplois et une stratégie industrielle de long terme.
📅 L’accord a été signé le 1er juin 2026 en marge du sommet Choose France, après feu vert de Bruxelles.
🇺🇸 L’usine était détenue depuis 2021 par le fonds d’investissement américain American Industrial Partners (AIP).
https://t.co/vu84gjhrua
WTF
This is genuinely terrible for Europe. We got all the leading robotics providers but we let them buy for scraps by Asian firms.
KUKA to china
ABB to japan
🤯
We vibe coded an interactive map of where venture money is actually going in physical AI.
3 years, 22 sub-sectors, global (with China tagged separately). Filter it, click into any category, see the companies + investors + our POV.
🚨 AI Just Created a Material Humans Never Imagined!
Scientists have developed a revolutionary new material that is stronger than steel, lighter than foam, and up to 5 times stronger than titanium.
The most surprising part? It was designed by artificial intelligence, not human engineers.
Using AI, researchers created entirely new microscopic structures that were later 3D-printed and tested. The results could lead to lighter airplanes, stronger buildings, and more efficient vehicles.
This breakthrough shows that AI is no longer just helping scientists—it’s starting to invent alongside them.
What could the world look like when AI designs the materials of the future?
Source: University of Toronto. AI-designed nanomaterials achieve exceptional strength and lightness. University of Toronto Engineering News.
China’s largest solar and wind plants are in the north and northwest, largest hydro in the southwest. These are increasingly connected to coastal urban centers via ultra-high-voltage lines.
Useful visualization of China’s energy geography:
Epic amounts of Chinese investment in Morocco, particularly in EV and battery supply chains.
I know this article was framed around Europe’s fears. But for many developing countries, this is exactly what they’re hoping for.
FT: https://t.co/dgHDhaAVWF
"Competition with China is the refrain constantly invoked by opponents of AI regulation...But China’s experience shows that AI competition and regulation are not incompatible."
Great new piece by @mattsheehan88 https://t.co/IFP2VLsF7L
State-directed credit has long been one of the most powerful industrial policy tools for East Asia, including China.
"The researchers found that even Chinese companies with poor credit ratings were able to borrow from state banks at rates far below those available to highly creditworthy US and European rivals."
FT: https://t.co/dljgUVesPT
Youthfulness is not magic.
It is the result of trillions of cells constantly producing energy, repairing proteins, controlling inflammation, protecting stem cells and maintaining biological balance inside the human body.
And for the first time in history, AI is helping scientists understand and simulate these biological systems at unprecedented speed.
AI can now model molecular interactions faster than entire research teams once could, accelerating the discovery of new proteins, peptides and therapies designed to extend human healthspan.
In this incredible timeline, we are watching aging become measurable, predictable and increasingly programmable through data.
We are moving from treating disease after damage appears.. to engineering biology before decline begins.
AI-driven longevity era has officially begun!
Top 20 most famous songs in China 🇨🇳 (all-time)
1. The Moon Represents My Heart (月亮代表我的心) — Teresa Teng
2. My Motherland and Me (我和我的祖国)
3. Boundless Oceans, Vast Skies (海阔天空) — Beyond
4. Friends (朋友) — Alan Tam
5. Blue and White Porcelain (青花瓷) — Jay Chou
6. Childhood (童年) — Lo Ta-yu
7. Goodbye Kiss (吻别) — Jacky Cheung
8. Tomorrow Will Be Better (明天会更好)
9. Sailor (水手) — Zheng Zhihua
10. Rice Aroma (稻香) — Jay Chou
11. Love Confession (告白气球) — Jay Chou
12. The Ordinary Road (平凡之路) — Pu Shu
13. Little Apple (小苹果) — Chopstick Brothers
14. Love (爱) — Little Tigers
15. Red Sun (红日) — Hacken Lee
16. Woman Flower (女人花) — Anita Mui
17. Love Like Tide (爱如潮水) — Jeff Chang
18. Around Winter (大约在冬季) — Chyi Chin
19. The One I Love (一生所爱) — Lowell Lo
20. Lonely Warrior (孤勇者) — Eason Chan
Sources:
• China Daily features on iconic Chinese songs & KTV culture
• Chinese media retrospectives on classic Mandarin/Cantopop songs
• Public recognition across Mainland China, Hong Kong & Taiwan
• Historical popularity and long-term cultural impact
Note: This ranking measures overall cultural fame and public recognition, not streaming numbers alone.