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27 marzo, di Team — Artificial Decisions
AI Is Frying Our Brains! We're Producing More. Thinking Less
Researchers interviewed hundreds of full-time American workers and found they're suffering from something new called AI brain fry. Fried brain from Artificial Intelligence!
AI makes individual tasks faster. What used to take three hours now takes 45 minutes. But the days get harder. When each task takes less time, you don't do fewer tasks, you do more. Our apparent capacity expands, the work expands to fill it. Managers see output growing and expectations rise.
Before AI, you'd spend a whole day on one design problem. Sketch on paper, think in the shower, go for a walk, come back with clarity. One problem, one day. Today that one problem becomes six, and each one "only takes an hour with AI." But context-switching six times is brutally expensive for the human brain. AI doesn't get tired between problems. We do.
Before AI, the job was: think, produce, test, ship. You were the creator. After AI, the job became: write a prompt, wait, read output, evaluate it, decide if it's correct, fix what doesn't work, repeat. You became a reviewer, a judge, an inspector on an assembly line that never stops.
People who use AI intensively spend 14% more mental energy at work, accumulate 12% more cognitive fatigue, face 19% more information overload. People in a state of AI brain fry make 33% more decisions while exhausted, make serious errors 39% more often, and are 39% more likely to want to quit. We're burning out the people who use the tools most, the ones companies depend on most.
Use it to free yourself from the useless and you perform better. Use it to do as many things as possible in the least amount of time and you burn out.
Using AI to free up time, then filling that time with more work, isn't productivity. It's running on a treadmill that never stops and it fries our brains. What do you think?
#ArtificialDecisions #MCC
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25 marzo, di Team — Artificial Decisions
The Cloud Doesn't Exist
The cloud doesn't exist. There's a warehouse with servers inside, on a specific piece of land, in a specific place in the world. On March 1st, someone was reminded of that.
Iran struck three Amazon data centers. Two in the UAE, one in Bahrain. Banks down, payments frozen, delivery apps offline. Millions of people with no access to anything. This is the first documented military attack on a hyperscale cloud provider, ever.
Data is usually replicated across multiple locations. Amazon's system is designed to survive the loss of one availability zone. Not two. Two zones hit simultaneously, and the system fails. That's exactly what happened.
Think for a moment about how many things you only have online: tools, files, workflows, suppliers, banking systems. Everything on the cloud.
There's another angle almost no one talks about. It has nothing to do with bombs, it's about governments. Your provider guarantees confidentiality, says no one else sees your data. But the provider has a headquarters, it's registered in a country. And that country, in many cases, has legal authority over its data. It can knock on the door and say: give me those files. The company may have signed anything with you, but the state comes first. And often, the state is not required to tell you.
There are countries you'd never want to share your data with. Less friendly countries. And yet your data sits there, in a warehouse, in that country, under that country's laws.
Ask yourself where your data physically is. Not in the cloud. In a building, in a country, with that country's rules on top. What do you think?
#ArtificialDecisions #MCC #AI
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23 marzo, di Team — Artificial Decisions
The War Is Going Cyber and Companies Are the First to Be Attacked
Dear companies, you need to protect yourselves. The warnings are strong. Attacks on European companies are increasing, and the situation in the Middle East is accelerating everything. Companies that have nothing to do with Israel or Iran are involved too: companies that manufacture components, manage logistics, provide financial services. Perfect targets, precisely because they feel far from the problem. Attacks don't stop at the borders of the region at war. They expand, hit civilian networks, supply chains, banks in countries that have nothing to do with the conflict. It happened in previous crises and it's happening now.
FortiGuard Labs by Fortinet are currently recording app tampering, intrusions into broadcasters, Telegram posts announcing attacks against critical infrastructure. It's not yet a coordinated campaign. But attackers don't wait for it to become one. Iran historically doesn't respond immediately. It waits for attention to drop. Weeks later, when security teams have let their guard down, it strikes. The silence of these days is not a signal that the risk has passed.
European companies need to invest in ongoing training for their employees. Not a one-time course that gets forgotten. Realistic phishing simulations, regular updates, a security culture that becomes part of daily habits. A prepared employee recognizes a suspicious email before opening it. That's why you need to run events and training continuously. You need to turn your employees into the first line of defense, not the first point of entry.
Alongside training you need basic technical measures: multi-factor authentication on VPNs and remote access, patches on all systems, segmented networks so whoever gets in through one point can't reach everything else, backups isolated from the network, tested, ready to work when you actually need them.
Those who fix these things now will have the advantage. Those who wait for the explosion to start will arrive too late. There's a parallel mechanism that doesn't depend on any state actor. Geopolitical chaos is perfect cover. And the easiest target is not the firewall, it's the person who receives the email. Most attacks come in from there: an employee who clicks on the wrong link, an attachment opened without thinking, a password reused across a personal and a company account. Not out of negligence, out of lack of preparation.
Are you doing this? Is your company doing this?
#ArtificialDecisions #MCC
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21 marzo, di Team — Artificial Decisions
Robots Need a License Plate
A robot at a restaurant in San Jose started dancing uncontrollably a few days ago. It smashed plates, sent chopsticks flying. Three employees spent minutes trying to stop it, searching an app for the shutdown command. No emergency button, no switch. Just three people trying to physically restrain a machine that wouldn't stop. The robot was wearing an apron that read "I'm good." It wasn't.
This is what happens when a chatbot hallucinates. Except here it happens physically. Autonomous robots run on probabilistic systems, the same engine that makes Artificial Intelligence assistants invent data. When a chatbot hallucinates, you close the tab. When a robot hallucinates, it comes at you.
In San Jose the system made autonomous decisions, kept executing them, and nobody knew how to stop it. That was a small robot. Think about a 65-kilogram one in a warehouse, or a hospital.
We regulated drones: you can't fly one without a license, insurance, airspace rules. Cars: no vehicle circulates without a license plate, inspection, mandatory insurance. Autonomous robots in public spaces operate with none of these rules. Just because you don't see them in your city yet doesn't mean they're not coming.
I've proposed something simple: mandatory visible license plates on every autonomous robot in public space. Large, readable, traceable. If a robot damages you, you need to know who's responsible.
The international standard for industrial robots exists, it covers factories but not the restaurant where you're having dinner. They're high-risk and not regulated for civilian use, and meanwhile you can buy them on Amazon. With physical robots the hallucination has material consequences. It has weight, it has arms.
Mandatory license plates, physical emergency stop, mandatory insurance, clear liability. We already did all of this for every other machine that moves among people. What do you think?
#ArtificialDecisions #MCC
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20 marzo, di Team — Artificial Decisions
Watch Out for Photos of Kids Online. They Can Become Raw Material
A family photo feels harmless: a birthday, a school trip, a sports game. But once it's online, it can be copied, saved, reposted, and reused in ways we don't control. And today there's a new risk: Artificial Intelligence tools can manipulate faces and bodies in minutes.
UNICEF warned that AI-made or AI-altered sexualized images of children are abuse, with real and lasting harm. In the US, authorities have already handled cases involving AI-generated child sexual abuse material, and watchdog groups reported sharp increases in AI-generated content being found and reported.
For a family, the practical risk is simple: a clear, high-quality photo with a visible face can be used for face matching, fake profiles, and image manipulation, sometimes for criminal purposes.
Avoid posting clear front-facing photos when kids are identifiable, especially with school names, uniforms, locations, license plates, or signs in the background. Use strict privacy settings and recheck them regularly. Platforms change defaults. When schools or sports clubs ask for media consent, ask where photos will be posted, how long they stay online, and how removal works.
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