LLM

Articles tagged LLM on mistr.AI.

• Why Anthropic cut off OpenClaw and other third-party tools from Claude subscriptions — From April 4, 2026, Anthropic no longer allows Claude Pro and Max subscribers to use third-party tools within their flat-rate plan. The decision affects over 135,000 developers and for some means a cost increase of up to fifty times. What is behind this, how does it affect regular users, and what does the credits offer email that many subscribers recently received actually mean?
• LLM, RAG, AI Agent, and Agentic AI — Four Layers of Artificial Intelligence Worth Understanding — Language model, RAG, AI agent, agentic system — it sounds like four different things, but in reality they are layers of one ecosystem. In this article, we'll explain what each layer does, where one ends and another begins, and most importantly, when you need each one. Clearly and without clichés.
• From a One-Hour Prototype Came 1.5 Million AI Agents and an Offer from OpenAI — All it took was one hour of work to create a prototype that became a platform with 1.5 million AI agents. Austrian developer Peter Steinberger found himself courted by the heads of Microsoft, Meta, and OpenAI. Why did Sam Altman win, what can AI agents actually do, and where are their biggest weaknesses so far?
• Forget Chatting — Meet OpenClaw, Which Will Work the Night Shift for You — Do you feel like you're just 'chatting' with AI but still have to do the real work yourself? That's about to change. OpenClaw (formerly Clawdbot) is not another chatbot but an operating system for agents that have access to your files, browser, and terminal. In this detailed guide, we break down what this viral hit can do, how entrepreneurs use it to run businesses, and why security experts are sounding the alarm. Get ready — we're going deep.
• Searching for Miracles in Algorithms — Is Artificial Intelligence Becoming a New Form of Faith? — You've certainly experienced it. You write a complex prompt, press enter, and in that brief second of silence you catch yourself inwardly hoping it will "land right." It's a strange moment of tension that closely resembles a silent prayer. Is artificial intelligence becoming an entity we look up to with sacred reverence, or do we simply not understand what's happening under the hood? Let's take a look at why technology awakens these feelings in us — and how to replace them with certainty.
• Librarians Are Exhausted Searching for Books That Artificial Intelligence Made Up — Artificial intelligence is a great helper, but sometimes it has an overly vivid imagination. Librarians around the world have recently been reporting a troubling trend, as people flood them with requests for titles that simply don't exist. Why does this happen, and why do we tend to trust a chatbot more than a real person at the counter? We'll look at how AI "hallucinates" and why even seemingly magic phrases in prompts don't easily solve this problem.
• Open MCP Standard Will Break Down Barriers Between Enterprise Applications and Language Models — Remember how complicated it was to connect a printer to a computer before USB became the standard? Something very similar is happening in the world of artificial intelligence. The Model Context Protocol (MCP) technology, which teaches applications to effectively "talk" with language models, is becoming an open global standard under the Linux Foundation. Google is going all in on this innovation, and Czech developers are among its founders. What does this crucial step mean for the future of enterprise data, and why should you care? Find out in this article.
• A New Model from France Shows Great Potential Even for Demanding Programmers — For a long time, it looked like Europe was only gasping for breath in the AI race, watching the backs of American and Chinese runners. That may be about to change. A French company is coming with a new solution that isn't just trying to catch up with the competition through brute force, but bets on cleverness and openness. If you work with code or are interested in whether Europe has a chance at technological sovereignty, this new development shouldn't pass you by.
• The Largest Neural Dataset in History Is Being Built in an Ordinary San Francisco Basement — Imagine writing an email or controlling a computer just by thinking about it. That sounds like distant sci-fi, but one San Francisco startup is working intensively on it in rather unconventional conditions. In a basement laboratory, they've collected thousands of hours of data directly from human brains to teach AI to convert neural activity into text. How did this unique experiment unfold, and why did participants have to wear two-kilogram helmets on their heads? Let's take a look under the hood of the project that could replace keyboards.
• Adobe and ChatGPT Join Forces to Make Professional Photo and Document Editing Accessible to Everyone — Imagine no longer needing to download single-purpose apps or struggle with the complex interface of professional graphics editors when you just need to quickly edit a vacation photo. I have news for you that may well save you a lot of time. Just upload a file into the chat and simply say what you want to change. Let's take a look at how this fusion will save you hours of work — and maybe a few nerves too.
• New Study Shows That Rhymes and Verses Work as a Universal Skeleton Key to Unlock Forbidden AI Features — I thought modern language models had their safety fuses set to be bulletproof. Developers spend thousands of hours training filters designed to prevent the misuse of AI for malicious purposes. But it turns out there is a back door that no one was guarding — and the key to it is not some complex code, but something far more human. All it takes is changing the form of communication, and artificial intelligence suddenly forgets its rules. What exactly can fool the world's most advanced systems?
• We Found Out Why AI Makes Things Up — and How to Learn to Prevent It — Every few weeks, headlines appear about AI lying, conspiring, or even seducing users. It sounds alarming, but the reality is far more mundane. The most extensive study of its kind showed that AI assistants make errors in nearly half of all cases. ChatGPT is no Bond villain. It's a statistical tool with design flaws that could have been prevented. And what's more — part of the problem lies with users themselves, who don't understand how to work with these tools properly.
• Samsung Proved That Successful AI Doesn't Need Billions of Parameters — What if it turned out that size isn't what matters in artificial intelligence? Samsung has introduced the TRM model, which has only 7 million parameters, yet in complex reasoning tasks it has literally outperformed models that are ten thousand times larger. This breakthrough proves that efficient architecture can matter more than raw computing power. What approach did Samsung use, and what does it mean for the future of AI?
• IBM and Anthropic Join Forces, Bringing Claude into Enterprise Development Environments — IBM and Anthropic have announced a strategic partnership that brings the Claude language model directly into IBM's developer environment. More than 6,000 early users report an average productivity increase of 45 percent. What does this mean for companies that want to leverage artificial intelligence for software development, and how far do the possibilities of this new collaboration between technology giants reach?
• Woke AI and Its Impact on Truth and Freedom of Speech in the USA — The term "woke AI" has become a new topic in artificial intelligence, stirred up by US President Donald Trump. According to him and some conservatives, "woke AI" poses a threat to the accuracy of information and independent thinking. At the same time, his strategy for combating this phenomenon raises questions about freedom of speech and possible infringement of rights under the First Amendment of the US Constitution.
• AI Memory Under the Microscope: A New Look at How It Works — Memory in artificial intelligence is often wrapped in myths and misunderstandings. A new scientific framework brings a clearer division of memory types and defines six fundamental operations that determine how AI stores, updates, and forgets information. What does this mean for the future of AI?
• The AI World Has a New Force: Contextual AI — The emergence of Contextual AI represents a significant milestone in the development of artificial intelligence, with the potential to fundamentally change the way we work with information and data. This new model, focused on accuracy and reliability, opens new possibilities for companies, researchers, and individuals in areas where absolute information accuracy is critical.