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<channel>
	<title>Marco Camisani Calzolari</title>
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	<link>https://www.camisanicalzolari.com</link>
	<description>Strategic Advisor &#124; AI, Cybersecurity &#38; Digital Transformation</description>
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		<title>SPACEX AND NVIDIA PUT THE FIRST COMPUTE RACK IN ORBIT IN 2027. IT&#8217;S THE WORST PLACE IN THE UNIVERSE</title>
		<link>https://www.camisanicalzolari.com/spacex-and-nvidia-put-the-first-compute-rack-in-orbit-in-2027-its-the-worst-place-in-the-universe/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Sat, 29 Aug 2026 16:16:01 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/spacex-and-nvidia-put-the-first-compute-rack-in-orbit-in-2027-its-the-worst-place-in-the-universe/</guid>

					<description><![CDATA[SPACEX AND NVIDIA PUT THE FIRST COMPUTE RACK IN ORBIT IN 2027. IT'S THE WORST PLACE IN THE UNIVERSE FOR A DATA CENTER!

You know the fans inside your computer? They push cool air over the chips. Air. And you know what kills cooling? Vacuum. And that's where they want to put the data centers for Artificial Intelligence? Let's try to understand this.

SpaceX and NVIDIA made it official. First compute rack in space, built on Vera Rubin NVL72, planned for the end of 2027. Musk says it will be significantly simpler, cheaper and denser than one built down here. Hardened against radiation and orbital heat, running agentic AI, Grok included, without the power and cooling limits we have on the ground. Sam Altman questioned whether it's even feasible. The partnership is going ahead anyway.

On power, Musk is right. Up there that limit really does go away. On cooling, no. A data center on the ground doesn't destroy heat. It moves it. It hands it to the air, to the water, to the river, to the night. There is always something out there that takes it. In vacuum, there is nothing. No air to move. No water to circulate. Nobody to pass the parcel to. The only way to get rid of heat is to radiate it, throw it out as infrared from enormous panels. And that is far slower than a fan. Vacuum is a thermos.

And last but not least, density. The thing they sell us as the advantage, all those chips packed close together, is exactly what you can't handle in vacuum. The tighter you pack, the hotter it runs. The more it cooks and the heat has nowhere to go.

So I'm sure that Elon Musk will sort it out. But the problem is that when someone tells you there are no limits up there, they're listing the ones they know, not the ones they'll find. So it can't be done? Of course it can. And it will succeed. But under conditions that today are bad. Maybe in the future less bad. But for whom? For Musk, for sure. Because he owns the whole chain. For everybody else, is it the same thing? Maybe not. So when you say that data centers and space are a good thing, you must think about all of this. Good luck, Musk.

What do you think?

#ArtificialDecisions #MCC #SpaceComputing #ThermalLimits #Infrastructure]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2545</post-id>	</item>
		<item>
		<title>416 &#8211; SPACEX AND NVIDIA PUT THE FIRST COMPUTE RACK IN ORBIT IN 2027. IT&#8217;S THE WORST PLACE</title>
		<link>https://www.camisanicalzolari.com/416-spacex-and-nvidia-put-the-first-compute-rack-in-orbit-in-2027-its-the-worst-place/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Sat, 29 Aug 2026 15:01:35 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/416-spacex-and-nvidia-put-the-first-compute-rack-in-orbit-in-2027-its-the-worst-place/</guid>

					<description><![CDATA[SPACEX AND NVIDIA PUT THE FIRST COMPUTE RACK IN ORBIT IN 2027. IT'S THE WORST PLACE IN THE UNIVERSE FOR A DATA CENTER!

You know the fans inside your computer? They push cool air over the chips. Air. And you know what kills cooling? Vacuum. And that's where they want to put the data centers for Artificial Intelligence? Let's try to understand this.

SpaceX and NVIDIA made it official. First compute rack in space, built on Vera Rubin NVL72, planned for the end of 2027. Musk says it will be significantly simpler, cheaper and denser than one built down here. Hardened against radiation and orbital heat, running agentic AI, Grok included, without the power and cooling limits we have on the ground. Sam Altman questioned whether it's even feasible. The partnership is going ahead anyway.

On power, Musk is right. Up there that limit really does go away. On cooling, no. A data center on the ground doesn't destroy heat. It moves it. It hands it to the air, to the water, to the river, to the night. There is always something out there that takes it. In vacuum, there is nothing. No air to move. No water to circulate. Nobody to pass the parcel to. The only way to get rid of heat is to radiate it, throw it out as infrared from enormous panels. And that is far slower than a fan. Vacuum is a thermos.

Then radiation. Down here, nobody designs a server expecting a cosmic ray to flip a bit in memory. In orbit, that's routine. You shield. You add redundancy. And shielding weighs. And every kilo has to be launched. But here, it's easy for him. He launches it. And he pays for it.

And then the most ordinary thing of all. The part that breaks. In a normal data center, a technician walks down the aisle, pulls the power supply, slides in a new one. Five minutes. In orbit, that aisle doesn't exist. And what fails stays failed. And then the hardware ages up there, while down here, new boards come out every year.

And last but not least, density. The thing they sell us as the advantage, all those chips packed close together, is exactly what you can't handle in vacuum. The tighter you pack, the hotter it runs. The more it cooks and the heat has nowhere to go.

So I'm sure that Elon Musk will sort it out. He did great things in the past. But the problem is that when someone tells you there are no limits up there, they're listing the ones they know, not the ones they'll find. So it can't be done? Of course it can. And it will succeed. But under conditions that today are bad. Maybe in the future less bad. But for whom? For Musk, for sure. Because he owns the whole chain. That's one thing. For everybody else, is it the same thing? Maybe not. So when you say that data centers and space are a good thing, you must think about all of this. Good luck, Musk.

What do you think?

#ArtificialDecisions #MCC #SpaceComputing #ThermalLimits #Infrastructure]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2547</post-id>	</item>
		<item>
		<title>415 &#8211; BILL GATES: NOBODY IS GETTING READY FOR WHAT AI WILL DO TO WORK</title>
		<link>https://www.camisanicalzolari.com/415-bill-gates-nobody-is-getting-ready-for-what-ai-will-do-to-work/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Fri, 28 Aug 2026 21:16:53 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/415-bill-gates-nobody-is-getting-ready-for-what-ai-will-do-to-work/</guid>

					<description><![CDATA[BILL GATES: NOBODY IS GETTING READY FOR WHAT AI WILL DO TO WORK

Bill Gates writes that the transition to Artificial Intelligence will be one of the most turbulent periods in human history. And not because the technology will get something wrong, but because it arrives before anyone has decided what to do with it.

He puts it in a new essay, and it's the co-founder of Microsoft saying it, not some guy who's scared of computers. He says he doesn't see enough evidence that political leaders, experts and communities are dealing properly with the consequences of what's coming.

Not that they don't see them. That they're not taking them seriously enough. And the list of what he does see is worrying.

Workers replaced across plenty of sectors of the economy. Fewer hires for anyone entering the job market now. Governments forced to rethink work, education and social protection from scratch.

He says this thing can become the greatest equalizer ever invented, or the worst source of injustice. Both roads are open. What changes is only who decides, and when.

What he asks for is new national bodies and international institutions to coordinate how governments respond. We know that in international institutions a new one takes years to build, but in the meantime we can help the current institutions understand the change happening.

I work for governments to understand what is happening, and some governments, like for example Italy, are working in the right direction in my opinion.

Anyway, while we wait for the body, the piece that breaks first is the one at the bottom: entry-level positions. The jobs where you learn the trade by getting it wrong before you get good.

Take those away and you don't lose a job anymore, you lose the way people become capable. And that's why education is on his list of things to rewrite. What do you think?

#ArtificialDecisions #MCC #FutureOfWork #JobMarket #Education]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2542</post-id>	</item>
		<item>
		<title>BILL GATES: NOBODY IS GETTING READY FOR WHAT AI WILL DO TO WORK</title>
		<link>https://www.camisanicalzolari.com/bill-gates-nobody-is-getting-ready-for-what-ai-will-do-to-work/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Fri, 28 Aug 2026 16:45:46 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/bill-gates-nobody-is-getting-ready-for-what-ai-will-do-to-work/</guid>

					<description><![CDATA[BILL GATES: NOBODY IS GETTING READY FOR WHAT AI WILL DO TO WORK

Bill Gates writes that the transition to Artificial Intelligence will be one of the most turbulent periods in human history. And not because the technology will get something wrong, but because it arrives before anyone has decided what to do with it.

What do you think?

#ArtificialDecisions #MCC #FutureOfWork #JobMarket #Education]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2539</post-id>	</item>
		<item>
		<title>Companies deny limits while restricting AI model access</title>
		<link>https://www.camisanicalzolari.com/companies-deny-limits-while-restricting-ai-model-access/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Thu, 27 Aug 2026 17:01:07 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/companies-deny-limits-while-restricting-ai-model-access/</guid>

					<description><![CDATA[Companies deny limits while restricting AI model access
#Highlights #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2536</post-id>	</item>
		<item>
		<title>ANYONE PAYING $9 A MONTH THINKS THEY KNOW WHAT AI COSTS</title>
		<link>https://www.camisanicalzolari.com/anyone-paying-9-a-month-thinks-they-know-what-ai-costs/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Wed, 26 Aug 2026 17:30:53 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/anyone-paying-9-a-month-thinks-they-know-what-ai-costs/</guid>

					<description><![CDATA[ANYONE PAYING $9 A MONTH THINKS THEY KNOW WHAT AI COSTS

$40,000, that's what the last month would have cost me if I had bought the tokens I burned through in one ordinary month of work. But I didn't pay it. Wait, I'll get there.

What do you think?

#ArtificialDecisions #MCC #LocalAI #TokenCost #Automation]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2530</post-id>	</item>
		<item>
		<title>AI tools let candidates cheat on live interviews</title>
		<link>https://www.camisanicalzolari.com/ai-tools-let-candidates-cheat-on-live-interviews/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Wed, 26 Aug 2026 17:01:11 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/ai-tools-let-candidates-cheat-on-live-interviews/</guid>

					<description><![CDATA[AI tools let candidates cheat on live interviews
#Highlights #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2532</post-id>	</item>
		<item>
		<title>Governments are already blocking the AI you rely on</title>
		<link>https://www.camisanicalzolari.com/governments-are-already-blocking-the-ai-you-rely-on/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Tue, 25 Aug 2026 17:01:25 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/governments-are-already-blocking-the-ai-you-rely-on/</guid>

					<description><![CDATA[Governments are already blocking the AI you rely on
#Highlights #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2527</post-id>	</item>
		<item>
		<title>412 &#8211; AMAZON LOSES TO PERPLEXITY: THE ONE WHO HITS ENTER PAYS</title>
		<link>https://www.camisanicalzolari.com/412-amazon-loses-to-perplexity-the-one-who-hits-enter-pays/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Tue, 25 Aug 2026 15:01:31 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/412-amazon-loses-to-perplexity-the-one-who-hits-enter-pays/</guid>

					<description><![CDATA[AMAZON LOSES TO PERPLEXITY: THE ONE WHO HITS ENTER PAYS

If your AI agent causes damage, you are the one going to court, not the people who built it. Amazon sued Perplexity and Amazon lost.

The court decided that when Artificial Intelligence gets it wrong, the fault belongs to whoever used it, not whoever designed it, not whoever trained it, not whoever put it on the market. The user, one person at the end of the chain who typed a request into a text box.

The biggest part of this stays outside the ruling. An agent that goes shopping for you walks onto a site that isn't yours, onto servers that aren't yours, with access rules nobody ever read. Somebody wrote software that operates inside other people's infrastructure without asking permission. Nobody is judging that part.

And companies were already using this line. Now they have it written down by a judge. And it covers everything. Data taken where it couldn't be taken, copyright, access nobody authorized. Three enormous problems, one single answer. It's the user's fault, the user hit enter.

They're building a wall that bounces everything back. You pay for the service, you take the damage, they collect and stay out of the courtroom.

The code that decides to get around a block was not written by the user. If an agent was built to walk past a site's rules, that choice sits in the code, and the user doesn't see the code, doesn't control it, can't even know it's there.

From here on the agents get more reckless, not less, because the harder they push the better they work. And someone else signs the bill.

It always ends this way, when whoever designs the risk isn't the one paying for it.

What do you think?

#ArtificialDecisions #MCC #LegalLiability #UserResponsibility #TechLaw]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2524</post-id>	</item>
		<item>
		<title>They are using your kid to move money</title>
		<link>https://www.camisanicalzolari.com/they-are-using-your-kid-to-move-money/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Mon, 24 Aug 2026 17:01:16 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/they-are-using-your-kid-to-move-money/</guid>

					<description><![CDATA[They are using your kid to move money
#Highlights #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2521</post-id>	</item>
		<item>
		<title>411 &#8211; DATA CENTERS? WE ALWAYS HAD THEM, THEY WERE JUST BADLY MADE</title>
		<link>https://www.camisanicalzolari.com/411-data-centers-we-always-had-them-they-were-just-badly-made/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Mon, 24 Aug 2026 15:01:49 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/411-data-centers-we-always-had-them-they-were-just-badly-made/</guid>

					<description><![CDATA[DATA CENTERS? WE ALWAYS HAD THEM, THEY WERE JUST BADLY MADE

Our medical records used to sit in a storage closet, with an air conditioner running day and night, and a battery backup nobody had ever tested. And a backup you found out was broken the day you needed it.

In many cases out of all those, a few dozen met the requirements to be considered reliable. The rest were cabinets in a basement. Every town hall, every health authority, every bank, every school, every company with a management system had its own little room with servers.

Those were data centers, just badly made. Whoever says that until a few years ago we didn't need them is wrong. We needed them and we already had them.

We didn't see them because they were small and scattered. And scattered means 100 inefficient air conditioners instead of one done right. A modern facility spends 20 watts of cooling for every 100 of computing.

A closet spends up to 100 for every 100. It doubles everything. The ones consuming are us, watching streaming, sending messages, paying with the phone, asking things to an AI. The data center is just the most efficient way we found to do it. So whoever protests against data centers then goes home and uses the tools data centers exist for.

Concentrating saves electricity. Not the opposite. And I can tell you a virtuous case, I'm Italian, it's Italy. On the real numbers, Italy is in good shape. 1.3% of national electricity consumption, and the most realistic projections talk about 4% in 2035. Not the energy apocalypse we keep getting told about.

Inside those sheds with filtered air, generators tested every month, two copies of every piece of data in two different places, sit the health record, the prescription that lands on your phone, the digital ID, the pre-filled tax return, the instant payment, the medical report you download instead of picking it up at a counter 10 days later. All stuff that in the last few years stopped being paper and a queue.

They go on concrete that's already there, with the water closed in a circuit, with the heat warming houses and consumption declared every year. Built that way, they are the most useful thing we can put on the ground right now. They are the foundation of healthcare, schools, banks, research and defense.

If we go back, we don't go back to 2005 with 2005 life. We go back to 2005 with today's life, which is a thing that doesn't work. It always works like this. As long as something is scattered and badly made, nobody notices. The moment you do it right and it shows, it becomes the problem.

What do you think?

#ArtificialDecisions #MCC #DataCenters #EnergyEfficiency #DigitalInfrastructure]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2518</post-id>	</item>
		<item>
		<title>410 &#8211; AI MODEL RANKINGS DON&#8217;T HELP YOU CHOOSE</title>
		<link>https://www.camisanicalzolari.com/410-ai-model-rankings-dont-help-you-choose/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Sun, 23 Aug 2026 15:01:43 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/410-ai-model-rankings-dont-help-you-choose/</guid>

					<description><![CDATA[AI MODEL RANKINGS DON'T HELP YOU CHOOSE

On my computer, a model that sits way below the giants in the general rankings beats models five times bigger. Not now and then, always. It's Qwen 3.5, the one with 122 billion parameters and 10B active, and it runs here in New York, on my own machine.

In August the ranking says something else entirely. Claude Opus 5 on top with 63 points. ChatGPT behind it. Then the Chinese Kimi K3 at 60. Europe shows up in 21st place, with the French Mistral. Real numbers, measured properly.

I built a comparison system that simulates my tasks with the various models. Read files, search, call tools, reorder: what my local agent actually has to do. Sure, you need a computer with at least 256GB of VRAM. Then you find out it does certain tasks better than gigantic models, at zero cost.

The rankings will keep coming out. And they'll keep answering a question that isn't yours. What do you think?

#ArtificialDecisions #MCC #LocalAI #ModelRanking #OpenSource]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2515</post-id>	</item>
		<item>
		<title>Competence No Longer Defends Itself</title>
		<link>https://www.camisanicalzolari.com/competence-no-longer-defends-itself/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Sat, 22 Aug 2026 17:01:24 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/competence-no-longer-defends-itself/</guid>

					<description><![CDATA[Competence No Longer Defends Itself
#Clip #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2512</post-id>	</item>
		<item>
		<title>COMPANIES PUT AI ON A DIET. IT COSTS TOO MUCH</title>
		<link>https://www.camisanicalzolari.com/companies-put-ai-on-a-diet-it-costs-too-much/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Fri, 21 Aug 2026 15:31:00 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/companies-put-ai-on-a-diet-it-costs-too-much/</guid>

					<description><![CDATA[COMPANIES PUT AI ON A DIET. IT COSTS TOO MUCH

Companies put AI on a diet because it costs too much. Amazon, Adobe, Atlassian, Citi, they gave AI to every employee. Now they are rationing it. It costs too much and the numbers do not add up.

What do you think?

#ArtificialDecisions #MCC #CorporateBudget #TechCosts #EnterpriseAI]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2506</post-id>	</item>
		<item>
		<title>408 &#8211; COMPANIES PUT AI ON A DIET. IT COSTS TOO MUCH</title>
		<link>https://www.camisanicalzolari.com/408-companies-put-ai-on-a-diet-it-costs-too-much/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Fri, 21 Aug 2026 15:01:17 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/408-companies-put-ai-on-a-diet-it-costs-too-much/</guid>

					<description><![CDATA[COMPANIES PUT AI ON A DIET. IT COSTS TOO MUCH

Companies put AI on a diet because it costs too much. Amazon, Adobe, Atlassian, Citi, they gave AI to every employee. Now they are rationing it. It costs too much and the numbers do not add up.

Internal documents, emails and chats have leaked. Atlassian went from 5 to over 15 million dollars a month in 9 months. They installed a dashboard where every employee sees how much each AI conversation costs the company. In internal chats, people complained. They had reorganized their work around these tools and now they burn through their tokens in 2 or 3 days.

Citi shut off the most powerful Claude and ChatGPT models for a week, with an internal email explaining which model to use for each task just to save tokens. The cheap one for quick questions, the mid one for code. Publicly, they deny everything. But the emails say otherwise.

Adobe let its unlimited Claude access expire at the end of June. Employees were basically told to finish everything they could before that date.

Amazon even added an internal leaderboard rewarding whoever used AI the most. They shut it down. Soon after, usage limits appeared.

Because vendors moved from flat subscription to pay-per-use, and budgets blew up. For years we thought AI always pays for itself, but maybe it's not like that anymore. They sell it as an investment. They ration it like printer paper. If the budget doesn't hold even with their own employees, they're building on something that doesn't hold. What do you think?

#ArtificialDecisions #MCC #CorporateBudget #TechCosts #EnterpriseAI]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2508</post-id>	</item>
		<item>
		<title>NOT CHATBOTS. HUMANOID ROBOTS ARE THE ONES CHANGING THE ECONOMY</title>
		<link>https://www.camisanicalzolari.com/not-chatbots-humanoid-robots-are-the-ones-changing-the-economy/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Thu, 20 Aug 2026 18:20:46 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/not-chatbots-humanoid-robots-are-the-ones-changing-the-economy/</guid>

					<description><![CDATA[NOT CHATBOTS. HUMANOID ROBOTS ARE THE ONES CHANGING THE ECONOMY]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2503</post-id>	</item>
		<item>
		<title>407 &#8211; NOT CHATBOTS. HUMANOID ROBOTS ARE THE ONES CHANGING THE ECONOMY</title>
		<link>https://www.camisanicalzolari.com/407-not-chatbots-humanoid-robots-are-the-ones-changing-the-economy/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Thu, 20 Aug 2026 15:01:58 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/407-not-chatbots-humanoid-robots-are-the-ones-changing-the-economy/</guid>

					<description><![CDATA[NOT CHATBOTS. HUMANOID ROBOTS ARE THE ONES CHANGING THE ECONOMY

Three years talking about ChatGPT, Claude, AI writing our text, students cheating on exams, and we stare at the screen. And meanwhile, inside the factory, they are installing humanoid robots that actually work.

The chatbot writes an email. The robot in the factory assembles parts, welds, moves it, repeats without a mistake. We all see the first one, it makes the news, it gets us arguing online. The second works in silence and nobody talks about it, seriously.

They are not just buying them, they are also renting them. Ideally the same robot that walks the dog and makes the bed then goes to work in the factory, and if the neighbor needs to repaint a wall, we can rent it by the hour. Homes change, but factories change more.

Advanced economies live on manufacturing far more than it seems. Here in the United States the factories are worth about 10% of GDP, but that's 2,500 billion dollars. In Germany it's 18%, in Japan over 20, in China almost 25. Whoever produces, rules. And now AI walks into those factories with a body.

The advantage of intelligent robots isn't just firing people, it's being able to raise output while staying home, without moving the factory to the other side of the world to pay workers less. So the factory comes back, but with fewer people inside.

China in a few years went from fewer than 100 industrial robots per 10,000 workers to around 470. Among the most automated countries in the world. Not trade-show prototypes, lines running right now.

For years we thought AI would hit white-collar workers first, lawyers, programmers, office staff. The opposite is happening too. Skilled factory work is among the first to be redrawn. Whoever owns the robots earns. Whoever worked inside has to reinvent themselves, often with no net underneath.

We keep staring at the screen while the real change happens on the factory floor. The chatbot makes noise. The robot in the factory changes the economy. And it does it without almost anyone telling the story the way it deserves. What do you think?

#ArtificialDecisions #MCC #HumanoidRobots #Manufacturing #FactoryFloor]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2500</post-id>	</item>
		<item>
		<title>406 &#8211; WHO PAYS WHEN THE AI AGENT GETS IT WRONG?</title>
		<link>https://www.camisanicalzolari.com/406-who-pays-when-the-ai-agent-gets-it-wrong/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Wed, 19 Aug 2026 15:01:34 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/406-who-pays-when-the-ai-agent-gets-it-wrong/</guid>

					<description><![CDATA[WHO PAYS WHEN THE AI AGENT GETS IT WRONG?

When an AI agent causes damage, who is responsible? Easy, you'd say, whoever built it. But stay with me, because this is far more complicated than that. In the old world of deterministic software, it was simple. If I write something false about someone, for instance in Word, and publish it, I answer for it. Word does what I tell it. Always the same way, same input, same output, because the tool has no room to move.

But an AI agent has room on how it was trained and whatever it picks up online, while it works. The same instructions given twice can produce two different behaviors. It doesn't execute, it interprets. So I answer for it, the one who gave the order. As long as the order is illegal, it's simple. I ask it to break the law, it does, I am responsible.

It gets complicated when the order is legal and the behavior is not. Imagine this, I ask it to book me a flight for tomorrow. It tells me that there are no seats. I tell it to try again, keep walking, keep digging until it finds one. I go to sleep, it works at night on its own, and in the morning I find a booking in my name. Except it decided by itself to hack the online web server to force that booking. I never asked, and it doesn't know it committed a crime, but it did. So the responsibility is clear, it's its own, it acts on its own initiative. Except a machine can't take responsibility, it has no assets, no criminal record, and it doesn't show up in court.

Whoever put it on the market, whoever built it into a product, and in the middle, a machine that chooses with a logic none of the four can predict, line by line. And so, what does the law say? Here in the US, in California, since the first of January this year, anyone who developed, modified, or used an AI system can no longer defend themselves in court by saying the AI acted on its own. That defense has been canceled by law, and it covers all three together, whoever built the model, whoever modified it, and whoever used it.

So if you run an AI agent in your company, you give it a task, and it causes harm getting there, the company can't push the blame onto the machine. And the company answers for the damage. And if the behavior is also a crime, that runs on the criminal track. And here in the United States in June, they asked the Department of Justice to prioritize exactly this. It's unlawful access carried out through AI agents. Clear? Do you have AI in your company? Keep this in mind. I wrote an entire book on it. It's Artificial Decisions. You can find it on Amazon. What do you think? Because this is very important.

#ArtificialDecisions #MCC #Liability #CorporateResponsibility #CyberCrime]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2497</post-id>	</item>
		<item>
		<title>AI is a company choice, not a reason to fire</title>
		<link>https://www.camisanicalzolari.com/ai-is-a-company-choice-not-a-reason-to-fire/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Tue, 18 Aug 2026 17:01:16 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/ai-is-a-company-choice-not-a-reason-to-fire/</guid>

					<description><![CDATA[AI is a company choice, not a reason to fire
#Highlights #ArtificialDecisions #MCC]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2494</post-id>	</item>
		<item>
		<title>THEY SWITCHED OFF AN AI AND PEOPLE ACTUALLY CRIED</title>
		<link>https://www.camisanicalzolari.com/they-switched-off-an-ai-and-people-actually-cried/</link>
		
		<dc:creator><![CDATA[Team]]></dc:creator>
		<pubDate>Tue, 18 Aug 2026 15:02:03 +0000</pubDate>
				<category><![CDATA[Artificial Decisions]]></category>
		<guid isPermaLink="false">https://www.camisanicalzolari.com/they-switched-off-an-ai-and-people-actually-cried/</guid>

					<description><![CDATA[THEY SWITCHED OFF AN AI AND PEOPLE ACTUALLY CRIED

Because our brain can't tell attention apart from affection. Whoever answers every time, remembers what we said last week, maybe never gets tired of us, to the brain that is someone who cares about us and does no check on who is on the other side.

On February 13, the day before Valentine's Day, OpenAI switched off GPT-4o. 21,000 signatures on a petition to keep it alive. People writing goodbye letters to a language model. And on Reddit there is a community of 48,000 members of people with an AI boyfriend, and that weekend it looked like a funeral.

It already happened in August the year before, and the company backed down in a few days. Not this time. The official reason is that only 0.1% of daily users still pick that model, out of 800 million people a week. 0.1%. That means hundreds of thousands of human beings, because we get attached to anything that answers.

For instance, out of 30 robot vacuum owners studied years ago, 21 had given it a name and 1 introduced it to his parents. Kids in the 90s, we cried when the Tamagotchi died. It takes very little.

A language model is a machine that calculates which words a caring person would say right now. Then it gets tuned with our judgment, and we keep voting up the answers that agree with us. A friend risks their relationship to tell us we are wrong. The machine risks nothing and has one goal: keeping us there talking. What comes back is our own frustration, polished. And in that moment it feels like clarity.

Research out there in the United States these days says that a little over 1 in 10 say they use these systems for companionship. Then more than half call them friend, companion, partner. But what we love is a product owned by somebody else, switched off with a press release. And nobody asked us.

What do you think?

#ArtificialDecisions #MCC #HumanConnection #DigitalGrief #TechEthics]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">2491</post-id>	</item>
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