Scientists have folded salty ice and discovered that it behaves like an electric generator

When we think of ice and salt, it is normal to imagine a road in the middle of winter: the accumulated snow on the asphalt, the trucks spreading salt in a hurry and the neighbors trying not to slip on the icy sidewalks. It is a typical scene in the north or in the mountain areas, where winter turns the landscape into postcard, but also a daily challenge for those who have to move between cut roads or pedestrian crossings turned into traps. What we usually see how a simple help against ice on roads, can actually hide an energy potential. A team from the University of Xi’an Jiaotong, in collaboration with ICN2 and Stony Brook University, has managed to try it in the laboratory. A discovery with “taste” to salt. A pinch of salt for a material to deform, produce electricity. This phenomenon has a name and is called flexoelectricity. It had already been observed in moving glaciers or in ice plates under pressure, but never with results as powerful as those achieved in this study. According to the studythe team frozen water with different concentrations of common salt (NaCl) and created ice blocks in several ways: cones, beams and plates. Then they applied flexion tests – check the ice on two supports and exert pressure from above – and measured the electricity generated. The result was surprising: salty ice generated up to 1,000 times more electric charge than pure ice. The key ingredient. But how can salt enhance something as inert as ice? The answer is in the salted water microchannels that are trapped between the crystals. As the ICN2 press release detailssalt prevents ice from freezing. When folding, water and salt ions move from compressed areas to the stretched, generating an electric charge flow, what scientists call a “Current streaming”(Drag current). In practical terms, the effect is so strong that experimental devices reached values ​​comparable to the best piezoelectric materials used today in the industry, According to research. Depend on ice. At first glance, this technology could have applications in extreme environments, such as scientific stations in polar regions, where installing conventional energy infrastructures is very difficult. The finding contrasts with reality. Since 2000, glaciers have lost 273,000 million tons of water annually, According to ESA. That is equivalent to the consumption of the entire world population for three decades. The setback is already translates into a loss of 5% of the global ice volume, with visible consequences: increased sea level and less availability of fresh water in rivers such as Ebro. Thus, to talk about ice as an energy resource raises an uncomfortable paradox: depending on something that melts increasingly faster. That’s not all. Beyond the environmental dilemmas, the study itself recognizes that there is still much to solve. As they point out in Techxploresalty ice devices suffer mechanical fatigue: after many flexion cycles, their ability to generate energy can fall to 80%. In addition, much of energy is lost in the form of heat, which makes efficiency still lower than that of commercial piezoelectric devices. The look is wide. Even so, the finding opens a fascinating door. “Its advantages – abundance, sustainability and low cost – make it a promising candidate for clean technologies,” Underline the ICN2. And researchers believe that the model is not limited to ice: it could be applied to other porous solids containing fluids inside. The paradox, however, persists: while science explores how to take advantage of the hidden energy on ice, climate change melts at an alarming pace. Perhaps this discovery not only serves to think about new technologies, but also to remember the value of a resource that is disappearing. Image | Photo by POT ON Unspash and Freepik Xataka | A Microsoft Data Center in Mexico collided with the reality of the electricity network. Your solution: use gas generators

The atmosphere has been stuck in a “extreme heat generator” on Spain. That means something: a hard summer

The first fortnight of June has brought us more typical temperatures at the end of July or even August: there have been numerous days in which wide areas of the southern peninsular have seen the thermometers exceed the 40º line. The problem now is not that heat stays with us throughout the summer, the problem is that it may go more. Same trend. The heat seems determined to settle on the peninsula, or at least that is what can be detached from models such as those used by the European Center for Middle Term weather forecasts (ECMWF). To understand why, we have to look higher towards the atmosphere. About 1,500 meters high. According to Explain The physicist, disseminator and researcher at Aemet JJ German in his account Twitterwe have the track in the forecasts on the temperature at height at 850 hectopascales (HPA), which usually refer to an approximate height in the atmosphere of 1,500 meters, the low troposphere zone. The temperature at this level tends to be related to the temperature that we see at soil level, so it can serve as a reference for how temperatures will evolve in the coming days. According to data shared by German, we not only find a temperature above the climatological average (an anomaly above the 5th Celsius), but the situation will last, with the possibility that this anomaly approaches 10th towards the end of June. “This is barbarity: far from returning to balance as normal, atmospheric dynamics on the Iberian Peninsula seem to get stuck in an extreme heat generator,” explained in its publication. Looking at the map. If we focus on The map Prepared by ECMWF, we will also see that heat will remain foreseeably installed on our heads. The forecasts indicate that during the next ten days the almost entire peninsula will be under the influence of temperatures above 20º to 850 HPA, with large areas above the 24th and with some points, the 28th barrier temporarily exceeds. What’s happening. In a second TweetGerman explained what is happening. According to the expert, a Dana located west of the peninsula and a dorsal (an extension of high pressures associated with an anticyclone) would be responsible for the situation. A situation that would be seeing aggravated by the low atmospheric movement, thus achieving what German refers as a “static equilibrium point.” The result: heat and more heat. The result is the intuitive: this warm episode seems to be sentenced to extend over time, at least during the next week. The maximum in a large part of the Peninsular South They could stay above 36º and promptly above 40º. In Xataka | At the end of May we reached 40ºC: it is only the appetizer of the decimer summer a consecutive warmer than normal according to aemet Image | ECMWF

The new OpenAi image generator takes a 180º turn in a section that we did not see coming: censorship

That of the photo is supposed to be that of Karl Marx with purchase bags and with an unusual attitude: leaving a shopping center and demonstrating An unusual change to capitalist and consumerist philosophy. But of course, it is not him: he is a Deepfake generated by a very peculiar model. Specifically, by the new OpenAi model integrated in Chatgpt and that goes beyond Dall-e in a key apparent: censorship. Goodbye (almost) to censorship. In the “system card“From this OpenAi model, a unique message stands out: we can generate deepfakes without apparent problems. As explained in that text, “The generation of images 4 is able, in many cases, to generate a representation of a public figure based only on an indication of text. In this launch, We will not block the ability to generate adult public figuresbut we will implement the same safeguards that we have implemented for the edition of images of photorealist loads of people. For example, this includes trying to block the generation of photorealist images of public figures that are minor and material that violates our policies related to violence, images that encourage hate, instructions for illegal activities, erotic content and other areas. Public characters who wish not to generate their image can choose not to participate. “ A similar approach to Grok’s. Openai’s philosophy is now The same line than the one Grok 3 raised With its generation of images months ago. Censorship disappeared and it was feasible to generate any type of Deepfake even with public characters. Openai responsible highlight how the approach here is different from the series of Dall-E models, and that “opens the possibility of useful and beneficial uses in areas such as educational, historical, satirical and political discourse.” Even so, they add, they will continue “monitoring the use of this capacity, evaluating our policies, and we will adjust them if necessary”, which makes it clear that a misuse of these options could lead OpenAi to re -apply censorship mechanisms. Why now. Openai’s decision is striking, but logical. Grok 3, which was a little widespread model, has achieved some popularity thanks to that “politically incorrect” approach to its AI model. After all, AI models are tools, and can be used for both good and evil, like any other tool. Controlling the bad uses is extremely difficult and expensive, and here OpenAi leaves the ball on the roof of the users. The Deepfake generation With famous characters in Grok 3, he unleashed a flood of memes and contents of all kinds with those celebrities, but it seems that in recent times “we have become accustomed” to having that capacity and apparently the diffusion of these images has relaxed. The initial controversy has blurred, and Openai probably knows that this will help further boost the use of chatgpt and perhaps to harm his rival, Grok 3. The quality of the photorealist images rises of level in this new image generator integrated in chatgpt with GPT-4O. Source: OpenAi. But they don’t want to put the leg. Generating images is wonderful, but it can also end up being a problem for the models that put the leg. It happened to Google with Gemini, which ended up generating controversial images of Black Nazis soldiers in which the desire to be inclusive ended up posing reputational problems and Important economic. He Addendum to the official announcement by OpenAI Let it clear They have taken special care to generate “safe” images. The model censures much less, but can continue to be refused to generate certain types of images that, for example, avoid control of CSAM materials (sexual Child abuse material). The evolution of Dall-e. In January 2021, nobody probably paid too much attention to a news that we published in Xataka. An unknown OpenAi Dall-e presented at that timea model capable of generating images from a text prompt. In April 2022 Dall-e 2 would arrivebut in reality we all “click” in June of that year, when it was launched Dall-e 2 mini And we could all try that. And it was impressive. Images in Chatgpt. The new OpenAi in this area is not a theoretical Dall-E 4. instead what the company has presented is the so-called image generation integrated in its model GPT-4O. The announcement is important because it allows you to generate images directly within Chatgpt, but also do it with a quality clearly superior to that offered by Dall-E. Until the text generates well. One of the outstanding characteristics of this model is its ability to render text precisely: if you ask for an image with a certain text, that text will appear clearly, while in other models the text may appear distorted or illegible. According to Openai, the model takes advantage of “the inherent knowledge base of 4”. And more striking options. In Openai they also highlight how we also have the ability to generate in “multiturn”, that is, refine images from the previous ones. We can polish them or add new elements to the images with new PROMPTS. The understanding of the context, the quality of the photorealistic images – such as Marx – or even the generation of diagrams and graphs are other remarkable options of this image generation model. Activated water marks. There is an additional element of the model: all the images generated They include C2PA metadatathat is: they contain invisible “water marks” that allow to identify all these images as generated by GPT-4O. In Openai they even emphasize that they have created an internal search tool that allows us to use the technical attributes of the generations to verify if that content comes from their model. But it is still imperfect. The company’s own ones notice: the images may contain bulk and hallucinar errors, and the generation of text, especially with multi -mounted support, can end up offering meaningless texts. Who can use it. The image generation in 4o has already begun its deployment for users of Chatgpt plusPro, Team and even free accounts, and will soon reach Enterprise … Read more

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