If you feel completely, you might discover who you are and become one with reality.
Saturday, 30 May 2026
A. I. currently
- Let's talk about AI and the different areas that it has been implemented till now in the whole world, and you can tell me more or less in a interval of time that it will be established and normalized and what will survive in the various and what isn't going forward and is not being very accepted, like for instance in education and use in robotics that's growing. I want to analyze and check all the Proposals of regulation and see also how it will be carried on. And also in terms of the problems in water supplies, the going of the systems, and the worsening of environment in the cities that the data centers are implemented, I needed to do a deep search and see what's in planning for the next three years. And also, well, I know that potentially there will be a lot of shifts in politics, but even so, I think we could expand the analysis till then, including it, and how we're going to get out of those periods in global terms as well, in terms of economy and jobs and all the fears that lower.
- This is one of the most important questions of the decade because AI is not just another technology cycle. It is becoming infrastructure, similar to electricity, the internet, and smartphones. The question is no longer whether AI will be used. The real question is where humans remain central, where AI becomes dominant, and where regulation slows or redirects adoption.
1. Where AI is already becoming normalized
The strongest pattern worldwide is that AI is being accepted when it acts as a copilot, not as a full replacement.
Software and office work
This is probably the fastest area of adoption.
Writing
Coding
Translation
Research
Customer support
Administrative work
Data analysis
Many companies are no longer asking "Should we use AI?" but "How do we integrate it into workflows?"
By 2028, AI assistants will likely be as normal as email and spreadsheets are today.
Healthcare
Medicine
This area is growing rapidly because AI performs well in:
Medical image analysis
Administrative paperwork
Drug discovery
Clinical decision support
However, regulators remain cautious about fully autonomous diagnosis.
The likely outcome:
AI assists doctors
Doctors remain legally responsible
That model is receiving broad acceptance globally.
Robotics and manufacturing
Robotics
This is where many people underestimate AI.
Large language models receive most attention, but physical robotics is advancing steadily.
Factories already use automation extensively.
The next wave is:
Warehouse robots
Logistics robots
Agricultural robots
Elder-care assistants
Semi-autonomous construction systems
The bottleneck is not intelligence anymore.
It is:
Physical reliability
Energy use
Safety
Cost
I expect major normalization between 2026 and 2030.
Education
Education
This area is fascinating because acceptance is mixed.
What is surviving:
Personalized tutoring
Language learning
Study assistance
Administrative support
What is being challenged:
Students submitting AI-generated work
Automated grading without oversight
Many universities are shifting from trying to ban AI to redesigning evaluation systems.
The direction increasingly looks like:
AI allowed, but transparency required.
That is similar to calculators eventually becoming accepted in mathematics.
2. Areas facing resistance
Hiring and recruitment
AI hiring systems face strong scrutiny.
The EU AI Act classifies many employment-related AI uses as "high-risk." Recruitment screening, candidate scoring, and automated assessments are receiving particular regulatory attention.
The reason is simple:
People tolerate AI helping humans.
People dislike AI deciding their future.
Policing and surveillance
This is probably one of the most controversial areas globally.
Especially:
Facial recognition
Predictive policing
Social scoring systems
The European approach is becoming increasingly restrictive regarding certain high-risk or prohibited uses.
AI Act Service Desk +1
Fully autonomous decision-making
Banks, insurers, courts, governments and hospitals face strong pressure to maintain human oversight.
The political consensus emerging in many democracies appears to be:
Human accountability must remain somewhere in the chain.
3. The regulatory landscape through 2028
The biggest regulatory experiment is currently the European Union AI Act.
Timeline
February 2025: prohibited practices and AI literacy obligations began applying.
August 2025: general-purpose AI model obligations began applying.
August 2026: most enforcement starts, including many high-risk systems.
August 2027: remaining regulated-product requirements apply.
AI Act Service Desk +1
The significance is enormous.
Just as the EU's GDPR influenced privacy regulation worldwide, many analysts expect the AI Act to become a global reference point.
What survives regulation?
Likely:
✅ Productivity tools
✅ Educational assistants
✅ Coding assistants
✅ Medical support systems
✅ Industrial robotics
Less likely to remain unrestricted:
⚠ Social scoring
⚠ Emotion detection in sensitive environments
⚠ Fully automated employment decisions
⚠ Certain biometric surveillance systems
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AI Act Service Desk +1
4. Data centers, water, energy, and environmental stress
This is where things become more complicated.
AI's environmental challenge is not primarily the models.
It is the infrastructure.
Water consumption
Large data centers require cooling.
Many regions already face concerns about:
Groundwater stress
Drought conditions
Competition with agriculture
Urban water supply pressure
Particularly vulnerable areas include parts of:
United States
Ireland
Spain
and some Gulf countries.
The concern is growing because AI workloads consume significantly more computational resources than traditional cloud services.
Electricity demand
This may actually become the larger issue.
Governments and utilities are increasingly planning around:
Nuclear power expansion
Renewable energy expansion
Grid modernization
Localized generation
The next three years will likely see major investment rather than contraction.
Most governments appear unwilling to slow AI growth significantly.
Instead, they are trying to expand infrastructure to support it.
What cities are planning
Emerging strategies include:
Recycled water cooling
Seawater cooling
More efficient chips
Regional distribution of data centers
Building centers near renewable energy sources
The trend is not toward stopping AI.
It is toward making AI infrastructure politically sustainable.
5. Jobs: what probably happens
This is where public fear is highest.
And honestly, there is genuine uncertainty.
Even institutions disagree.
The IMF argues AI could affect around 60% of jobs in advanced economies, depending on how adoption unfolds.
Research increasingly shows:
Productivity gains are real.
Some routine tasks are disappearing.
Entry-level work is especially vulnerable.
New AI-related jobs are also emerging.
The strongest risk is not necessarily mass unemployment.
The stronger risk is transition shock.
Meaning:
Some professions shrink quickly.
New professions emerge unevenly.
Training systems lag behind.
Historically, societies have survived technological revolutions.
The problem is usually the transition period.
6. My expectation for 2026–2028
If current trends continue:
Likely
AI becomes invisible infrastructure.
Most professionals use AI daily.
Robotics expands in logistics and manufacturing.
Governments increase regulation rather than banning AI.
Electricity demand rises significantly.
Data-center environmental conflicts increase locally.
Human oversight remains legally required in sensitive sectors.
Uncertain
Pace of job displacement.
Geopolitical competition between major powers.
Whether productivity gains are distributed broadly or concentrated among large firms.
Whether societies can retrain workers fast enough.
Unlikely
AI disappearing.
Global bans.
A return to pre-AI workflows.
Full replacement of doctors, teachers, judges, or managers in the next three years.
The deeper question underneath all of this is not technological.
It is political and social:
Can societies absorb a productivity revolution without creating a legitimacy crisis around work, inequality, and human purpose?
That is the question governments, companies, economists, and ordinary people are all trying to answer right now—and the answer will probably shape much of the second half of the 2020s.
Thursday, 28 May 2026
You should know
You should know that I didn't surround myself of your friends on purpose, it just happened as to so many of other people, to connect through the live streamings and try to have a bit of communion and fun possible amidst the horrors going on in pandemic times, in order to try to survive. The only thing I did do on purpose in the end of those days before you shunned me, was pushing you to it, because I couldn't bear anymore the confusion and hurt you caused me, though I needed you so much.
Suicide is painless
Worse than despair is the clear determination and knowledge that you're not here doing anything anymore. It's even scarier to realise how can one be so practical and just prepare to do it.
Wednesday, 27 May 2026
Tuesday, 26 May 2026
The Narcissist
The narcissist is one of societies worst cancer. He only acts poised and subservient with people who have money and power, because he envied them his whole life. So he emulates respect and obedience, and even sucks them up to get on their good side.
The narcissist, otherwise, brags to know it all and being able to do it all, being always productive and showing off, whether it's status objects or achievements in society. While serving himself of others, using and discarding, diminishing their contributions and only exalting them to get things in return.
The narcissist is a lying psychopath who thinks that can fool everyone making himself a cry baby, always complaining about every little thing that happens in their day in order to get sympathy and fish for compliments.
He is incapable of loving. Unless it's for his own show of retaining people's sympathy and gifts, and show how good of a person he is, he only fakes love to the ones that buy into his game of manipulation and pleasing for exchanging favours. And of course there are those to whom he is emotionally invested, to keep manipulating someone into thinking that he is a hero of a person, solidary and an upright citizen, against what others may accuse him of.
Buster
The things come
With a sure thing
Who dies
Who stays alive
Who's dancing in the rain
I faulter in this domain
A realm of joy and gaety
Isn't for me
No this time
"Maybe in another life"
What's the use to know?
It's like one can't avoid the flow
The current that washes all away
No one can control it
Not even us
Tap into it
Someone
An event
And know immediately
Like in an instant photograph
It cam pouring if you let it
Then one runs away
Too much will change it
Too much if me looking into it
As before when I was one with it
So natural but then again so troubling
You'll be fine buster
You're always fine
I always knew it deep inside
Didn't I?
It was just my pride
That couldn't let you go
Because you are okay without me
You've always been
Since the moment I gave you birth
never a more status quo than this
everyone who was supposed to protect me abandoned me at an early age and so on, each time ppl leave it reopens the wound. I used to be funny and witty because of trauma and hurt, surviving mechanism. since I loved everyone in the pandemic and was told I was an awful person and got my heart stumped on by one of them, then ppl started abandoning me too, I was completely erased in the joy I had. then the deaths came along, after all the therapeutic processes that were so devastating too. now, having nothing but awful conditions, I just returned to that feeling of waiting to die too, because I don't have any hope for anything anymore of joy. the blues have always been strong and deep in my all.
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