The US has just freed eight women that Iran was going to execute. The problem is that Iran says they were generated by AI

Sometimes, an image can trigger unexpected consequences in international politics. During the Kosovo war, at the end of the nineties, a photograph released no clear context on alleged civilian victims provoked immediate reactions from governments and international organizations before their true origin could be verified. That episode left a lesson that is still valid: in high-tension scenarios, the impact of a story can be as fast as the difficulty to check if it’s true. Two versions for the same photos. The episode begins two days ago with Donald Trump asking through your social network Iran to stop the execution of eight women arrested after the protests, he also does so by publishing the image of the eight women, an anomalous situation that, coincidence or not, in a matter of hours takes a radical turn when Trump himself goes on to affirm who has achieved it. According to their version, some would be released and others would receive light sentences, presenting it as a gesture of good will before the alleged new negotiations. The problem: that from the beginning there is no verifiable data clear about their identities or their judicial situation, which leaves the story supported by information that is, at the very least, incomplete. Iran not only denies it, it dismantles the story. The Iranian response could not be more direct: There were no planned executions. They assure that some of the women were already free and that the rest, if convicted, would only face prison sentences. In addition, they accuse Trump of relying on false information and trying to build political success without a real basis. The shock quickly moves from the facts to the credibility of the person telling them. The leap into confusion. The situation escalates towards complete surrealism when Iranian official channels of their different embassies go one step further and affirm that part of the images released would have been generated with artificial intelligence. At that point, the discussion stops being whether they were going to be executed or not, and begins to question whether some of the protagonists exist as they have been presented, or if they simply exist. This change introduces such a crazy level of uncertainty and propaganda that it makes it very difficult to verify how much of the story is real. A real context that does not disappear. Be that as it may, and despite the confusion, the environment in which it occurs is documented. I remembered the Times newspaper that, after the protests in Iran, there are thousands of detainees and reports of unfair trials. In fact, there are human rights organizations that executions have been reported recent events and the use of the death penalty as a pressure tool. This means that, although this specific case is doubtful, the underlying problem is still relevant. Propaganda faster than facts. In any case, what we see is not new in a war, far from it. Throughout recent conflicts, several stories have shown how narrative can prevail over verification. For example, during the invasion of Kuwait in 1990, the testimony of a young woman known as “Nayirah,” who reported alleged crimes in hospitals, influenced international public opinion before it was learned that he was linked to a public relations campaign. In the 2003 Iraq war, claims about weapons of mass destruction marked strategic decisions no conclusive evidenceand in the Ukraine conflict, narratives such as of the “Ghost of kyiv” or some viral videos spread on networks became popular quickly before to be qualified or denied. In all cases, the pattern repeats itself: in war environments, political and emotional urgency accelerates the spread of stories that can influence real decisions long before their veracity is confirmed. Strategic tension that sets the pace. Of course, all of this occurs while continuing the pressure in the Strait of Hormuz, with attacks on ships and blockade of ports despite the ceasefire. Iran has conditioned any progress on lifting that blockade, while the United States maintains it as a pressure tool. And in that context, the episode of the eight women It is not isolated: it is an essential part of a scenario where the political narrative and the situation on the ground always advance in parallel. Image | Trump Social, Nara In Xataka | Europe has gotten down to work on one of its biggest geopolitical challenges: opening Hormuz without help from the US In Xataka | Iran has 300 internal reports where it models the war against the US. They are all based on the same thing: Ukraine

I had no idea how to execute a local AI and I just did it in five minutes with my Android. It has been a disaster

The career of whom he manufactures The most capable smartphone It will not be alone in its components: AI has become an essential absolute To win this battle. Gemini He is the absolute protagonist, both in Android and in an iOS in which The presence of AI is insignificant. A complete and capable assistant, with the requirement of being permanently connected to the Internet. Google, Gemini’s mother, has decided Give 100% local models a chance in Android. Including those of its competitors. I, who had never executed a local AI on a PC, I have been able to achieve it on my phone in five minutes. 10 Google applications that could have triumphed Installing Google ai Edge Gallery Google has released an open source app so that any user can interact with multimodal AI models. It is completely free, has no publicity, and its only limitation is that it is not published in Google Play Store. You have to Download it from github. It is as easy as clicking on the link and downloading the file, which weighs 115 MB. Once you have downloaded it, click on it and install like any other app. Depending on the customization layer you use and the browser from which you download it, it is possible that the system asks for the occasional permission. Give it without fear, since it is a clean Google app. Once installed, the app will be in the application drawer or desktop of your phone, depending on your layer. Just open it and download the available models to start using it. Using the local AI in my Android This application allows you to use four predetermined models of the local AI: GEMMA-3N-E2B-IT-Int4 GEMMA-3N-E4B-IT-IN4 GEMMA3-1B-IT-Q4 Qwen2.5-1.5b-Instruct Q8 Each of these names is very likely to sound to Chinese, but there is a very simple summary. Gemma are the Google models, and the number behind “E2B, E4B, 1b”, refers to the parameter number of each model (2 billion, 4,000 million, 1,000 million). This means that, in order, Gemma 3 1b is the fastest, but more basic model, followed by E2B and with E4B to the head as the most complete. On the Qwen side, it is a Chinese model developed by Alibaba, with 1.5 billion parameters, and quite logical precision. These are the models that the app brings, but we can install models on our own. What I win and what I lose using the local The Google app is designed to execute three scenarios of use: Images questions: problem solving, identifying objects, etc. Prompt Lab for summaries, rewriting texts and code generation. Ai Chat: Multi -urnal conversations with AI The local AI is somewhat more limited in these scenarios of use, but in return it is more private. It runs 100% on your phone, without connection to servers. This minimizes response latency, something that I wanted to verify with a fairly simple test: the translation of a text not too extensive. “If the computing power on each chip continue to grow exponentially, Moore real Demanded Were Useful in Business Applications, Too. Defense Contractors Thought About Chips Mostly As a Product that Could Replace Older Electronics in All The Military Systems. “WHEN US DEFENSE SECRETARY ROBERT MCNAMARA REFORMED MILITARY PROCUREMENT TO CUT COSTS IN THE EARLY 1960S, CAUSING WHAT SUB IN THE ELECTRONICS INDUSTRY CALLED THE” MCNAMARA DEPRESSION, “FAIRCHILD’S VISION OF CHIPS FOR CIVILS SEEMED PRISON Off-The-Shelf Integrated Circuits for Civilian Customers Even Sold Products Below Manufacturing Cost, Hoping to convince more customers to trym. “ Chatgpt (4th): 5 seconds Deepseek: 19 seconds The local Google (Gemma 3 1b): has not understood the instruction. Google local (Gemma 3 E2b): 26 seconds. Google local (Gemma 3 E4b): 34 seconds. Google local (Qwen 2.5): 16 seconds. The results are quite irregularand that is that the app is in its initial stage. The main problem I have found is that sometimes it is difficult for him to execute the model, even in cases of light models such as Qwen. In a Samsung Galaxy S25 Ultra I had to restart the app on some occasion, since I did not execute the prompt. I have also wanted to prove how simple problems solve with the visual understanding of images, using the heavy model E4B of Gemma. It has also been quite disaster. In the first attempt I have asked him to solve all the problems. He has succeeded. In the second, I have asked him to solve only the first. He was wrong and, after telling him that it was wrong, he has err. Yes, he does a good job recognizing elements in the images, but it still has a hard time going further (Google just lets his Gemma models choose for these tasks). The conversational assistant works well, with its limitations, but well. It serves to talk and help us with any task that we can think of that you do not need a real -time search on the Internet. If you are especially jealous with your privacy, and want to execute the without any server connection, it is a relatively valid alternative. Google has this app as a test laboratory. At least for now it is not a real alternative, much less, to Gemini. Image | Xataka In Xataka | Artificial Intelligence on your PC: The best free tools to install models of AI as Deepseek, call, mistral, gemma and more

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