Trump confirmed on Friday that China refuses to buy Nvidia’s H200 AI chips, choosing instead to develop its own.
Though the US approved sales, Beijing blocked purchases to boost domestic chips like Huawei’s. Trump says talks continue and a deal “could happen,” but China wants tech independence.
Greece is preparing constitutional changes that would require AI to serve human freedom and social well-being.
Prime Minister Kyriakos Mitsotakis said the proposal is meant to protect future generations as AI becomes more powerful and raises concerns for democracy and human rights.
The amendment would say AI must support individual freedom, benefit society, reduce risks, and make full use of its advantages.
Elon Musk just lost a major legal fight against OpenAI.
A federal jury sided with OpenAI and Sam Altman, ruling that Musk waited too long to sue over claims that the company moved away from its original nonprofit mission. The jury reportedly reached its decision in under two hours after a three-week trial, and Musk’s team says it is preserving the right to appeal.
But this case is bigger than one courtroom loss.
It raises a deeper question for the AI era:
Can a company built to “benefit humanity” still hold onto that mission when billions of dollars, investors, and global AI dominance are involved?
The legal battle may be over for now, but the debate around OpenAI’s future is far from finished.
Coinbase CEO Brian Armstrong said AI has changed how fast the company can operate.
Engineers are now shipping in days what used to take teams weeks. Non-technical teams are writing production code. More workflows are being automated.
Now Coinbase wants to become “AI-native.”
That means fewer management layers, no pure managers, smaller teams, and more employees acting like “player-coaches.”
The company is also testing AI-native pods, including “one-person teams” where one person may handle engineering, design, and product with AI support.
The Academy has updated its Oscar rules for films that use artificial intelligence. AI tools can still be used in production, but key awards now need clear human involvement.
For acting categories, performances must come from real human actors who gave consent. For writing categories, screenplays must be written by humans to qualify.
The Academy says AI will not automatically help or hurt a film’s chances. But when it comes to awards, human authorship now sits at the center.
Hollywood is drawing a line before AI becomes too hard to separate from the work.
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This month, OpenAI launched its “Deployment Company” and Anthropic started a major services JV with Blackstone. Both are now pushing hard into AI consulting and embedding their engineers inside client companies basically copying the traditional Indian IT services playbook.
But let’s call it what it actually is:-
This is not a brilliant business strategy.
This is a survival move.
After years of nonstop hype (GenAI replacing jobs, Agents killing developers, AGI just around the corner), the reality in 2026 is hitting hard:-
-Billions of dollars in losses every year
-Compute & inference costs growing faster than revenue
-Free tiers subsidizing hundreds of millions of users
-Investor patience reaching its limit
The core business model is still broken. They are not yet profitable on their models, and nobody knows when (or if) they will be. So now they’re rushing into services and consulting to create immediate revenue, deeper client lock-in, and a better story for the next funding round.
Will this disrupt Indian IT giants?
Highly unlikely in the near future.
Indian tech companies have something these AI labs don’t:-
- 20 to 30+ years of deep trust with enterprises and banks
- Massive execution capability and domain expertise
- Strong existing relationships that no shiny new AI company can replace overnight
Banks and large enterprises are extremely cautious in 2026. They won’t rip out proven partners just because OpenAI or Anthropic now offers consulting. Many of the initial projects for these new services arms will anyway go to companies linked to their own investors.
Bottom line:
This move reveals the weakness, not the strength of frontier AI companies. It’s a desperate attempt to fix broken unit economics. Indian IT has a golden opportunity they already own the ground. Now they just need to aggressively own the AI implementation layer.
The game is evolving, but it’s far from over.
What are your thoughts?
Survival move or smart evolution?
So Meta installed software on all employee computers that records mouse movements, clicks, keystrokes, and screenshots. The program is called "Agent Transformation Accelerator." They chose the acronym ATA.
The reason: they need human behavior data to train AI agents. The same AI agents that will replace those employees. Meta is also laying off 8,000 people on May 20th. You see where this is going.
Employees responded by plastering flyers on vending machines and toilet paper dispensers that read: "Don't want to work at the Employee Data Extraction Factory?"
Employees at a data harvesting company are shocked to discover they are the data. Understandable.
The Meta spokesperson actually said: "our models need real examples of how people use computers — mouse movements, clicking buttons, navigating dropdowns."
Your mouse is training the bot that fires you. Let that settle for a second...
Meta just acquired humanoid startup Assured Robot Intelligence for undisclosed terms, bringing two elite roboticists into its Superintelligence Labs to build foundation models for whole-body humanoid control.
Meta bought San Diego-based ARI, a 20-person startup that focuses on foundation models enabling humanoids to handle household tasks.
The founders: Lerrel Pinto, an NYU professor who co-founded Fauna Robotics (acquired by Amazon), and Xiaolong Wang, a former Nvidia researcher.
The deal folds ARI into Meta’s Superintelligence Labs division and comes days after Meta raised its 2026 AI infra capex to $125–145B.
A leaked 2025 internal memo revealed Meta is developing consumer humanoid hardware, though the company has not confirmed the plan yet.
Meta’s acquisition positions it to compete with Tesla, Figure AI, and Boston Dynamics in commercializing humanoids — if it wants to. But regardless, many AI researchers believe that achieving AGI requires training models through physical interaction, making embodied AI a strategy beyond large language models.
A brand without media in 2026 is not just missing a way to market itself. It's missing where people make buying decisions.
Nowadays, customers who patronise a brand have most likely checked it out on social media, looked for reviews from other customers, and then make up their minds on whether to buy or not.
Social media is not just where brands advertise anymore. It's where brands are or aren't.
Here's why that matters
Imagine two businesses. They sell the thing at the same price and of the same quality.
One has a social media presence. It posts content, talks to people, and shows its personality. The other only has a website.
A customer finds both. Which one feels more trustworthy? Which one gets the sale? That's why social media marketing is important.
Social media does more than just build trust, and this includes:
People finding you without ads: When you post content on social media, there is a high tendency that it will get to people who were not necessarily looking for your brand, even without ads, and this goes a long way.
Talking directly to your audience: With social media, you have the advantage of reaching your audience as directly as possible without needing a middleman or influencer or the platform to set up ads for you.
Getting feedback right away: A lot of brands have to pay for market research, but with social media, you can easily and quickly see when people engage with your brand and what exactly they like about your posts.
You build a community that buys: People who really connect with your brand buy more, come back often, and tell others without you asking.
You stay competitive: If your competitors are on media and you're not, that alone costs you customers.
Check your social media presence this week, find the one platform where your audience is most active and make a plan to show up there regularly before trying anywhere else.
AI is evolving incredibly fast, and we’re already seeing it used in coding, design, customer support, content creation, and automation.
Some people believe AI will replace a huge portion of human jobs, while others think it will mostly transform industries and create new roles.
What trends are you noticing right now?
Which industries or careers do you think will be affected the most over the next 5–10 years?
And how should workers adapt to this shift?