Millennials are terrified of ordering fish

“Give me a quarter and a half of clams and that horse mackerel that has such bright eyes.” I will never utter that phrase, which my mother or my grandmother (non-generic feminine) could have said. Neither me, nor my sister nor surely anyone of my generation. We are millennials and we do not make such a thorough diagnosis of the condition of a fish that we probably would not know how to recognize without a label. Mercadona knows it and has made a move: since this year has changed its fishmongering system to leave behind, or at least reduce it to a minimum, the traditional display of fresh fish from the market at customer demand to increase the presence of its packaged and ready-to-go products. The company explains that fish consumption is in free fall with at least a 20% decrease and that with this change they seek to offer a simpler, faster and more comfortable experience for the customer, by avoiding queues and waiting. Although it is not specified, this change also implies reducing the presence of staff, streamlining sales, simplifying supply and logistics processes and raising the unit prices of the fish: it does not cost the same to order a sea bream as it does a couple of packaged sea bream fillets. This migration, which began in 2024 and which they already did previously with the butcher shop, represents an adaptation to consumer habits where the purchase of the finished product prevails over the classic display. Different, but in line with your bet for ready-to-eat dishes. Leaving aside the obvious benefits of the change for Juan Roig’s supermarket chain, there is a reality: there are compelling reasons for it to work. Another fishmonger system for new clients with other habits The new generations are illiterate when it comes to fish and meat. Thus, we have lost species- or part-specific terms (from the flank or neck of fish to the stifle of beef) for something much more generic like “fillets for the oven.” But it is not strange either: with some exceptions, we prefer ready-made parts to dealing with the entire animal. It is worth remembering that viral video of a young man disgusted and nauseated by having to clean a chicken. However, this applies more to meat than to fish, where historically in the fishmonger it falls apart to then be able to use that hake in its entirety: the head for a broth, the tail for the oven… In any case, the gutted, boneless and perfectly arranged appearance on a tray feels much more aseptic. Between one thing and another, we don’t know what to ask for: this tiktoker account How because of “not knowing how much to order I ended up buying 25 euros of hake“. Other She directly appears looking at the butcher shop counter with the same scared face that cows look at the train and the phrase “My biggest fear as a semi-adult: not knowing how to buy in a butcher shop.” In the answers, someone says that he did not know that salmon was sold by the piece: “I ordered a salmon thinking it was a kilo, he gave me the whole salmon (€64). How embarrassed I was I didn’t tell him anything and I took him away“. And yet another talks about ordering 50 grams of cheese at the delicatessen and leaving with all the shame and the only slice in the package. Of course, all the ingredients are in place for bulk personalized attention to disappear in the fishmonger, as long as there is a professional advising on which cut to buy based on what you were going to cook or what species is in season, these are increasingly less frequent scenarios and will disappear as the old generations give way to the new ones in the supermarkets. Mercadona has already anticipated its landing. In Xataka | Mercadona has eaten up its competition in Spain thanks to a recipe as successful as leonine: 3.88% In Xataka | Fish is mired in a historic crisis in Spain. And there is a reason: he is increasingly successful at leisure than at home Cover | Mercadona and Jeremiah Lazo

Ukraine has updated the nation’s bloodiest game. Eliminating Russians is now the closest thing to “ordering an Uber”

In the month of May, a unprecedented merger between military technology and video game logic. Ukraine had launched a reward system which awarded its soldiers points for killing Russian troops or destroying their vehicles, as long as these acts were verified by drone video recordings. That system, a kind from “Amazon military”has been updated with drones as protagonists. A real shooter. The now called “Army of Drones Bonus System” that has emerged in Ukraine presents itself on the surface as a incentive platform which includes the aesthetics and mechanics of video games (scores, ‘leaderboards’, online stores and rewards) but at its core is an operational transformation: an institutionalized scheme that quantifies casualties, observation successes and logistical achievements to translate them into real resources (drones, autonomous vehicles, electronic warfare systems) through the internal store call Brave1. Born a little over a year ago and accelerated in recent months until passing from 95 to 400 units participants, the system already exhibits strong effects on combat (according to official figures, 18,000 Russian casualties attributable to actions linked to the system in a single month) and has expanded its radius of action beyond the air attack to reconnaissance, artillery and logistics missions, incorporating into military practice notions of competition, internal market and performance metrics that were previously foreign to the art of war. Mechanics and logic. The program architecture works with clear and convertible rules– Each credited action (from eliminating an enemy combatant to capturing a prisoner to destroying a drone operator) awards points that can be exchanged for materiel in Brave1which creates a feedback loop where operational success is transformed into material capacity to continue fighting. The update of the score table (for example, doubling points for killing infantry or setting 120 points for capturing a prisoner) reveals the system’s ability to reorient incentives based on strategic priorities and political needs, and at the same time evidences a commodification of efficiency: life and death pass through a technical-economic threshold that converts lethal decisions into a cost-benefit function. This internal economy alters the microdecision of the combatant and resituates logistics and acquisition within the tactical space itself, with the Brave1 store acting as a war market that prioritizes allocation by competitive merit. Screenshot of the rewards system Automation and AI. The system is not limited to accounting, integrate tools technologies that change the very nature of target selection and engagement. Drones partially controlled by algorithms that suggest targets and correct the terminal phase of the trajectory represent a step towards lethal automation, while practices such as “Uber targeting” They demonstrate how consumerist and geospatial interfaces have been converted for war uses. Thus, marking a point on a map and triggering a remote impact is the operational translation of the everyday gesture. to request a transport. The video proof requirement To obtain points, it also generates a vast operational database that feeds institutional learning: what objectives were achieved, with what platform, from what distance and how the enemy defense behaved. That visual and metric file facilitates dissemination of techniques between units and accelerates innovation from below, with real effects on tactics and doctrine. Psychological effects. The Guardian said that, beyond the material and the technical, the system produces a kind of emotional breakdown: Senior officials recognize that the process of assigning a numerical value to human life has ended up turning violence into technical, “practical” and “emotionless” work. At the same time, gamification produces camaraderie effects and competition that, according to the commanders, are healthy and encourages discipline and learning between peers. However, this same dynamic can generate operational biases (prioritizing high-scoring objectives over tactically relevant objectives, or the temptation of operations with low effectiveness but high cumulative performance) that distort strategic coherence. Implications and extension. The Ukrainian experience shows that incentive principles can be transferred to other areas: artillery that receives points for valid hits, reconnaissance that earns rewards for identifying targets, and logistics that scores the use of autonomous vehicles instead of human convoys. This extension transforms the war ecosystem into a set of internal markets where tactical-technological innovation is quickly monetized and scaled, forcing planners a double urgency: exploit the immediate advantages of the system without losing strategic coherence and design ethical and operational countermeasures that prevent internal competition from fragmenting the priorities of the military effort. And ethics? It’s the big question. Ethically, the commodification of violence raises profound questions about responsibility, proportionality and war crimes: Who responds when a score induces an action that violates humanitarian law? The appropriation of AI for target selection also introduces the question of attribution of responsibility between human operators, algorithms and the chain of command. Strategically, converting equipment gain into the primary source of replenishment aims to create dependency loops that, in logistical wear and tear scenarios, discourage long-term wear and tear operations that are necessary in the short term for larger objectives. Score the violence. The “Army of Drones Bonus System” represents a mutation relevant to the way motivation, acquisition and innovation are organized in contemporary warfare: it incorporates market logicpoint economies and automation technologies that increase lethality and efficiency, while eroding moral frameworks and opening new vectors of risk. Its contribution is undeniable in terms of capacity and adaptation, but its expansion urgently claim a framework that does not yet exist at national or international level. In the background, a long doubt in this species Amazon military: that what is celebrated today as tactical innovation can tomorrow become a structural source of insecurity and lack of moral control on the battlefield. Image | Ministry of Defense Ukraine, Ministry of Defense of Ukraine In Xataka | An imperceptible hum is wreaking havoc in Ukraine. When it arrives there is no turning back: the Russians are already everywhere In Xataka | The Ukrainian army has been asked what it urgently needs. The answer was clear: no missiles or drones, just cars

The jokes of ordering 18,000 glasses of water have made it rethink

The fast food chain has installed voice assistants with artificial intelligence In more than 500 restaurantsbut the technical problems and jokes of the users are forcing the company to rethink its strategy. Two million orders later, Taco Bell Recognize that humans remain necessary. The problem in figures. Since last year, Taco Bell has deployed AI technology with a voice wizard in more than 500 locations in the United States. However, system failures have generated a wave of complaints on social networks and viral videos that show customers mocking the system. One of the cases that has circulated most in networks and demonstrates the clumsiness of the system, someone looks Ask 18,000 glasses of water. AI accepted it without problems. The challenge behind. “We are learning a lot, I will be honest with you,” admitted Dane Mathews, director of Digital Technology of Taco Bell, to Wall Street Journal. The executive himself recognizes that his experience with the system is irregular: “Like everyone, sometimes it disappoints me, but other times it really surprises me.” Employees have also begun to publish content reminding customers who can listen to when they shout at the system. The most viral failures. Tiktok is full of all the ravages that the AI ​​has caused: from staying in loop asking what the client wants to drink to Accept McDonald’s food orders and suggest competition sauces. How could it be otherwise in some cases, human workers have had to intervene to correctly complete orders, which has made doubts about the effectiveness of the system on a day to day. Change of Strategy Mounted. Mathews He has revealed that the company is reconsidering where to implement this technology. Especially in very busy restaurants with long lines, where a human employee could better manage the situation. “It is a very active conversation within Taco Bell in collaboration with our franchisees,” he explains. The company plans to help each restaurant determine when using AI and when employees are better intervened. The sector looks for its path. Taco Bell is not alone in this fight. McDonald’s canceled last year A similar experiment with IBM, although now works with Google Cloud in a new version. Another fast food chain in the United States, Wendy’s, is expanding your assistant Freshai (also based on Google technology) with the aim of reaching 500 facilities before the end of the year. It is another field in which AI begins to highlight, although these first experiences have taken us some laughs. Cover image | Taco Bell In Xataka | Tiktok, Instagram and X dominated our lives, but now their users are escaping to chat with machines

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