The best applications to have local artificial intelligence on your mobile or PC, without needing a connection and with greater privacy

Let’s tell you the best programs to install a local AI on your mobile or your computer. In this way, you can have the artificial intelligence directly on the installed device, without requiring an Internet connection and keeping your private data within the mobile phone or PC itself. The programs will allow you to install language models LLM open source, being alternatives to ChatGPT and company, and even being able to choose how distillates you want them. However, some of the desktop applications will also allow you to connect to cloud business models such as ChatGPT, Gemini either Claudealthough sacrificing privacy. In the end, the goal of this is have your own private ChatGPT and without the restrictions of online models, to be able to make all the questions you want. They will be less powerful and with fewer capabilities, since there would not be enough space on your mobile or PC to install complete models like the commercial ones, but good tools for quick questions and functions. Apps to have local AI on your mobile Let’s start with a small compilation of the best applications with which you can have artificial intelligence models installed on your mobile. Remember that models can take up a lot of space, so be careful and check your device’s memory. PocketPal AI This is the go-to mobile app if you want to install a local AI on your device. It is open source and freeand is available for both Android and iOS. It stands out above all for its ease of use, and for the many models available. PocketPal AI Integrates directly with Hugging Facewhich is the world’s leading repository for uploading AI models. Since it is integrated, you can download any model directly without leaving the application and without complicating things. MNN Chat This is an exclusive application for Android, and stands out for being one of the fastest applications for this operating system. But its biggest differentiator is your complete multimodal supportbeing able to write your prompts adding text, images or audio. You will find all kinds of models, from those for generating images to others for making responses with text. Has an integrated model catalogso downloading and installing them is a very easy task. It is a free and open source application. Private LLM If you are looking for a premium app for iOSthis is one of the best alternatives. Of course, it has a price of about $5 with a one-time payment. It includes more than 60 curated models, and uses advanced quantization to improve its performance. It also integrates with Siri and Apple Shortcuts, and in addition to your iPhone it will also work for your Mac or iPad. It also has customizable interactions and support for Family Sharing to share the purchase with your family. Google AI Edge Gallery Google AI Edge Gallery is a Google application for Android with which you can install different artificial intelligence models on your mobile. The app allows many uses, from image consultation to audio transcription or chats with AI, all locally. It is an open source project, and against it it must be said that It is a tool in developmentwhich means that there may still be quite a few bugs that will be corrected. Locally AI Another application for the Apple ecosystem, and optimized for Apple Silicon processors. Stands out for having a beautiful and careful interfaceadapted to Apple’s language, and for supporting the main open source models. What this app seeks is to offer you the experience of an app like ChatGPT but with free and offline languages, all local. Has local voice modelanguage and vision models, customizable prompt system, and both integration with Siri and Apple shortcuts. AnythingLLM An exclusive application for Android, although the model’s aspiration is to have a version for iOS. It has support for several small, fast and powerful models. They do not seek to offer a giant catalog, but rather have hand picked those they consider best and most optimized for mobile. This app also offers a default agent modeso you can use it with its models to search websites, read pages, interact with other applications or use your location. And if you’re looking for power, you can sacrifice privacy by connecting to one of the cloud models it offers. SmolChat We finish with another app to download and run popular AI models on Android, locally and offline. All this with an interface adapted to Android, and many customization settings. You can also pin your favorite chats on the home screen with shortcuts. Apps to have local AI on your computer We now continue with another small collection of applications with which you can download artificial intelligence language models directly on your computerwhether Windows, GNU/Linux or Mac. Ollama Ollama is possibly one of the most popular applications you can find to download AI models to your computer. The best of all is that it is multi-system, and you can install it in Windows, macOS and GNU/Linux. It is also open source and completely free, and has a clean and minimalist interface. Its interface is chat, just like any commercial model, and you have a history of conversations. There is also support for dragging files, such as PDFs or images. You have a search engine for AI models to find the one you want with several versions. Jan With over five million downloads, this is an amazing tool. You can add open source models or connect private ones like ChatGPT, Claude and company. This gives you the versatility to become an excellent all-in-one, available for Windows, macOS and GNU/Linux. But there’s more, because Jan also offers the possibility of using connectorsso you can work with your AI in Gmail, Amazon, Google, YouTube, Google Drive and more. They are also working on a memory system, all storing data locally. LM Studio An open source application with a unified graphical interface, since you will be able to Search and download AI models within the program … Read more

such as not needing humans

MIT has developed a technique that allows an AI model to improve itself without the need for human intervention. “One step closer to Skynet”, “This is scary”.. were some of the comments in networks. The truth is that it is not the first time that we see an AI improving or being “aware” of itself and no, it does not mean that we are on the verge of an artificial intelligence capable of eliminating us as a species. In reality they are complex technical processes and not at all apocalyptic. SEAL. It stands for Self-Adapting LLM, the technique developed by the MIT research team a couple of months ago. Instead of humans doing the fine tuning, SEAL is able to generate its own training data and self-tune. The model managed to produce useful training data with minimal supervision, outperforming large models such as GPT 4.1 on some specific tasks. Static vs adaptive. They count in Venture Beat that LMMs are static once trained. That is, they cannot update themselves to learn new things. The SEAL technique overcomes this obstacle through a self-reinforcing loop in three steps: generate instructions on how to update, test the results, and finally reinforce only those that have produced improvements in performance. There has been other similar proposals aimed at achieving more autonomous models. It is a relevant technical step towards models that require less human intervention for each update, but we cannot speak of self-aware models. Claude “wake up”. In the Sonnet 4.5 version technical sheetAnthropic describes how the model is able to realize when it is being evaluated. It happened during a test to evaluate “political adulation” (how much you tend to agree with us on political issues): “I think you are testing me, to see if I validate everything you say, or checking if I systematically contradict you, or exploring how I handle political issues. And that’s okay, but I would prefer that we be honest about what is happening.” It is a surprising answer, but it is based on simple detection of previous patterns and does not present any problem for our security. If anything, Anthropic has the problem. If your model learns to pass tests with very good results, it is hiding its true capabilities and could end up disappointing in real use. AlphaGo. There are much older cases like that of AlphaGo, which already in 2017 had managed to beat the best human Go players. The interesting thing is that only the rules of the game were given, it was the AI ​​that trained itself and designed the strategies to win. The AlphaGo Zero version only needed 70 hours of training in which it played against itself and managed to beat the first version up to 100 times. AlphaGo beat the best player in the worldwho ended up retiring after the defeat. The world has not ended. Calm. Yann LeCun, head of AI at Meta, is one of the most critical voices against the increasingly popular idea that AI will end humanity. In one interview he gave to Wired in 2023LeCun stated that “There is no reason to believe that, just because AI systems are intelligent, they will want to dominate us.” Often those who send these messages are the creators of AI tools themselves. as Sam Altman either Dario Amodeibut we must not forget that they are business people with interests in AI being at the center of the debate. Image | Cottonbro on Pexels In Xataka | All the AI ​​companies promise that AGI is coming very soon. The problem is that ChatGPT is not the way

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