This is the official price of the first mobiles that change color with the cold

At the end of last year Realme announced the real series 14 proa family composed of two terminals: the Realme 14 Pro and his older brother, the Realme 14 pro+. After being released in China, the company has just confirmed that the two smartphones They will be launched in Spain And, incidentally, he has revealed his official prices. These two devices are framed within the mid -range and stand out for the peculiar finish of the rear. Because? Because they are the first phones in the world that change color with the cold. Made the presentations, we will review the rest of the technical file and to know the official prices and availability. Realme 14 Pro and Realme 14 pro+ technical record Realme 14 pro Realme 14 pro+ dimensions and weight 162.8 x 74.9 x 7.6 mm 179 grams 165.3 x 77.3 x 8 mm 194 grams screen OLED 6.77 inches curve FullHD+ resolution (2,392 x 1,080 pixels) Refresco rate: 120 Hz Tactile sampling rate: 240 Hz Typical brightness: 800 nits Pico shine: 4,500 nits 100% DCI-P3 OLED 6.77 inches curve FullHD+ resolution (2,800 x 1,272 pixels) Refresco rate: 120 Hz Tactile sampling rate: 240 Hz Typical brightness: 600 nits Pico shine: 1,500 nits 100% DCI-P3 processor MEDATEK DIMENSITY 7300 GPU Mali-G615 Qualcomm Snapdragon 7s Gen 3 Adreno 810 GPU RAM 12/12 GB 14 GB Dynamic Ram 12/12 GB 14 GB Dynamic Ram Internal storage 256/512 GB 256/512 GB rear camera Angular: 50 MP, 1/1.95 “, FOV 79º, F/1.8, OIS Monochromo: F/2.4, FOV 89º Angular: 50 MP, 1/1.56 “, FOV 84º, F/1.8, OIS Periscope: 50 MP, 1/1.95 “, fov 33º, f/2.65, ois Great angle: 8 MP, FOV 112º, F/2.2 Front camera 16 MP, F/2.4, FOV 85º 32 MP, F/2.0, FOV 90º battery 6,000 mAh Supervooc 45W load 6,000 mAh Supervooc 80W load Operating system Android 15 with Realme UI 6.0 Android 15 with Realme UI 6.0 connectivity Dual Nanosim USB type c 5G NSA Y SA Wifi 6 Bluetooth 5.4 GPS Dual Nanosim USB type c 5G NSA Y SA Wifi 6 Bluetooth 5.2 GPS others IP68/69 resistance FUNCTIONS OF IA Cold -sensitive rear Footprint reader on screen 2x microphones 2x speakers IP68/69 resistance FUNCTIONS OF IA Cold -sensitive rear Footprint reader on screen 2x microphones 2x speakers price 8/256 GB: 429.99 euros 12/512 GB: 479.99 euros 8/256 GB: 529.99 euros 12/512 GB: 579.99 euros Oh, how cold! One of the most striking features of the Realme 14 pro is that its rear changes color. The company has implemented a design called “Unique Pearl” that makes the rear have a texture “similar to that of a marine shell” (in principle, there are no two equal mobiles) that changes color with the cold. Thanks some Thermochromic pigmentsthe terminal changes from pearl to blue when the temperature drops from 16ºC. When the temperature rises, the color is white again. On the left the Realme 14 pro and the right model Pro+ | Image: Realme edited by Xataka This is one of the great claims, but we will have to wait to have it in hand to see how it works. For the rest, both models are quite similar: similar size, somewhat higher weight in the Pro+ model and a generous camera module in the upper area that houses two or three lenses, as we look at one model or another. On the screen the thing is not very different. Both ride Curvos OLED panels of 6.77 inches and 120 Hz of refresh rate, but curiously, it is the standard model that has levels of higher brightness: 800 nits in the Pro vs. 600 nits in Pro+. The same with the local peak brightness, whose difference is abysmal: 4,500 nits in the Pro vs. 1,500 nits in Pro+. In resolution, however, the older brother wins by scratching a good handful of pixels in both directions. Two engines, two brands Realme 14 Pro | Image: Realme There are significant differences in the engine, since the company has opted for MediaTk for the most “basic” model and by Qualcomm for the most complete model. Thus, Realme 14 pro rides a MEDATEK DIMENSITY 7300while the Realme 14 pro+ incorporates a Snapdragon 7s Gen 3 of Qualcomm. Differences in performance should not be very pronouncedbut it is likely that the Qualcomm model will exceed Benchmarks to Mediatek. However, the experience should really be couple especially because, otherwise, they are exactly the same. Both terminals incorporate up to 12 GB of RAM, up to medium Tera internal storage and the ability to expand RAM in a virtual way. The battery is the same in both models, 6,000 mAh, but the fast charge is much more powerful in the pro+. There are also no important differences in connectivity, beyond the pro+ model only admits Bluetooth 5.2. What should be highlighted is that neither of the two mobiles has NFC, so it will not be possible to pay with the mobile. What both models have is all kinds of AI functions, both edition and productivity. Clear differences in the camera Cameras del Realme 14 Pro+ | Image: Realme We pass to the part of the camera, which is where the crumb is and the big difference between both terminals. The Realme 14 Pro rides a really basic set consisting of a Sony IMX882 sensor of 50 megapixels and a monochrome sensor. That’s all. Neither wide angle nor telephoto, just a useful sensor and another support for light measurements. The older brother, meanwhile, has that same sensor under a Periscopic lens with optical zoom of three increases and up to 120 digital increases. The thing is that it is accompanied by a Sony IMX896 main sensor of 50 megapixels and a wide angle of eight megapixels. It is clearly a much more powerful camera. The Realme 14 pro+ rides a lot of cameras much more complete The same goes for the SEFIES. The Realme 14 Pro has a 16 megapixel sensor, while the Realme 14 pro+ folds the resolution and … Read more

Deepseek is not a passenger fashion. It is the future of AI for Chinese mobiles

Apple has been the first company to ally with OpenAi for introduce chatgpt as a complement to your own assistantSiri. Samsung has done the same with Gemini, which He works in the pair with Bixby at his ultra galaxy s25and manufacturers as honor have also op Magic7 Pro Honor. In Europe, we seem to be clear that Chatgpt and Gemini will be the two key solutions to enhance phones through AI. But in China they have a new ally. One that we have known for just a few weeks and that already has integration plans with some of the main Chinese manufacturers. Yes, we talk about Deepseek. Honor will open the ban. Honor has officially announced Deepseek’s integration into its assistant yoyo. Although this function, at least in Spain, is not too popular, is important for the company. Yoyo is the smart wizard in the honor ROM, and users in China will be able to use Deepseek within it. What will be able to do? Improve Yoyo capabilities when processing natural language, as well as its logical reasoning and contextual compression. It is already available on all honor phones with Magicos 8.0 or posterior, and just update to version 80.0.1.503 to be able to use it. At the moment, only in China. Nubia climbs into the car. Nor Fei, president of Nubia, has also announced Through Weibo The future integration of Deepseek into its phones. The company is already testing it in its Nubia Z70 Ultrawith plans to integrate it into the system deeply. They clarify that they do not want to create a mere access to direct to the chatbot, but adapt it within the system and get it completely in the operating system. In this case, there is no announced date. A much faster integration. Deepseek has been accessible to the public for less than a month. Chatgpt has been with us for more than two years. It impacts the speed with which Chinese manufacturers are hugging Deepseek, a national alternative to OpenAi AI, and whose data control “remains at home.” While Chatgpt raised as the reference AI, Android is still from Google, and the company is fighting for Gemini to be the model to be implemented. With honor and cloudy climbing to the ship in China, it is plausible to think about future integrations with more manufacturers. Now, the doubt is whether Deepseek will remain as an alternative only for the models with Chinese ROM, or if it will end up doing the competition to Chatgpt and Gemini in the European Roms framework itself. The nervousness of the big surprise with this China is clear: There are governments trying to veto it at all costs. Image | Xataka In Xataka | Deepseek guide: 36 functions and things you can do for free with this artificial intelligence

The AI ​​raises a huge change in our mobiles. One that will have (at least) 32 GB of RAM

A year ago our mobiles have AI functions. Google offers them with Gemini and Apple (more or less) with Apple Intelligencebut for now these functions are limited and are reduced to somewhat modest tasks. However, we are seeing how our PCs have access to more striking models. The recent comparison we made of Deepseek R1-14b with models as it calls 3.1-8b or phi 4-14b showed that these developments could really run well in a Mac Mini M4 with 16 GB of RAM. However, what happens for example in the Pixel is that Google offers its Gemini Nano modelwhich has two versions: one 1.8b and another 3.25b. They are decent models, but they are still clearly below the benefits of models such as Deepseek-R1-14B and others such as those mentioned. The problem is that these models, especially when we begin to raise the size and number of parameters (14b, for example), They need memory. And enough. A LLM of seven billion parameters (7b) usually need about 8 GB of memory, although here has some more margin of maneuver (for example, 12 GB) is recommended. The manufacturers know it, and in fact even Apple has made a small effort there. In the iPhone 16 The jump from 6 to 8 GB has been made largely because of this, and Google Pixel 9 They offer up to 16 GB of RAM precisely for the same reason: that gives maneuver margin so that the functions of the executed in local can function fluidly. But that jump may soon go more. It does not seem unreasonable to think that sooner rather than later let’s see mobiles with at least 32 GB of RAM precisely to be able to execute larger AI models and thus offer users more powerful options in this regard. Of course, not only does the amount of memory matter. Our mobile phones do not have a dedicated GPU that can accelerate these tasks, but much is being progressed in the development of NPUs increasingly powerful. The combination of both elements seems to make possible an important change in offering local models of increasingly versatile. These hardware improvements in our mobiles also join possible techniques of optimization and “compression” of AI models. The quantization, a kind of “rounding”, allows large language models (LLM) to see their size reduced, yes, from the loss of a certain level of precision. The quantization It is an already very popular process when being able to use large models in more modest machines, and in addition to reducing hardware requirements it also allows to gain efficiency. All this suggests a not too distant future in which we will have much more powerful models in our pocket. Models that we can run at home, which we can even use without internet connection and that will also maintain the entire conversation in private. There are many interesting advantages. Too many Not to think that we may soon see how mobile manufacturers presume 32 GB mobile. Or who knows if even more. In Xataka | The new Gemini demonstrates a Google ambition: that we talk without stopping with our mobile

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