The End of Mere "Chatting": The Era of Simulations and Complex Reasoning

For a long time, we were used to large language models (LLMs) functioning as extremely advanced assistants for writing emails or summarizing texts. However, as a recent test focused on the models' ability to create simulations shows, the line between "text generation" and "problem-solving" is blurring. According to an MSN report, there was a clear winner in a test where the model had to build a complex simulation. This test is not just about programming, but about the model's ability to understand the relationships between variables in a closed system.

In this context, a new direction emerges, represented by NVIDIA with its Ising framework. While common chatbots work with tokens and word probabilities, NVIDIA focuses on integrating AI into the field of quantum computing. The Ising model is not a chat application for ordinary users, but a specialized tool for simulating physical systems that are too demanding for classical computers. This shift means that AI ceases to be just a "talking tool" and becomes a "computational engine" for science.

Comparison of the Best: Claude, ChatGPT, and Gemini in Practice

To understand where we stand, we need to look at how current leaders perform in tasks that require deep logical reasoning and coding. If we want AI to simulate, for example, an economic model or a physical process for us, we need to know who to rely on.

• Claude (Anthropic): In tests focused on programming and logical simulations, Claude (especially version 3.5 Sonnet) proves to be an uncompetitive player. Its ability to follow instructions and create functional, logically consistent code is currently considered top-tier in the industry. For developers and scientists, it is a tool that "hallucinates" the least in complex logical tasks.
• ChatGPT (OpenAI): GPT-4o remains the most versatile model. It has the widest ecosystem of tools (Custom GPTs, Advanced Data Analysis) and excels in interactive dialogue. However, in purely technical simulations requiring absolute code precision, it often lags behind Claude.
• Gemini (Google): Google with its Gemini model relies on a huge contextual window. This is its biggest advantage – it can "read" thousands of pages of documentation or analyze vast amounts of data at once. For simulations based on existing data analysis, however, it is a tool that is still seeking its stability compared to Anthropic.

Benchmarks and Performance: While differences in creative writing are minimal, in benchmarks like HumanEval (measuring code writing ability), Claude currently leads, closely followed by GPT-4o. NVIDIA Ising is not compared in this metric, as its goal is not to "think" like a human, but to "compute" like a quantum processor.

NVIDIA Ising: A Bridge Between AI and the Quantum World

For laypeople, the name NVIDIA Ising might sound abstract. It is derived from the Ising model, a mathematical model used in physics to describe the magnetic properties of materials. NVIDIA uses this concept to create a framework that allows AI models to simulate quantum processes on classical hardware (GPUs).

What does this mean for the industry? Companies involved in developing new materials, drugs, or optimizing logistics can use NVIDIA Ising to simulate extremely complex systems without needing a full-fledged quantum computer, which is still in its early stages of development. It is therefore a tool for high-end research and industrial simulation.

Availability and Price: How to Access These Technologies?

Here is an important distinction between "consumer AI" and "industrial AI":

1. Consumer Models (Claude, ChatGPT, Gemini):
   • Availability in the Czech Republic: All these services are fully available in the Czech Republic via web browsers.
   • Language: All models handle Czech at a very high level, although their "thinking" primarily takes place in English.
   • Price: Most offer a Free tier (limited use). Subscriptions for advanced versions (ChatGPT Plus, Claude Pro, Gemini Advanced) range around 20 USD / approx. 470 CZK per month.
2. NVIDIA Ising:
   • Availability in the Czech Republic: This is not a product for the average user. It is accessible to developers and scientists through the NVIDIA Developer program.
   • Price: The model is part of the broader NVIDIA ecosystem, whose price depends on the use of cloud resources (NVIDIA DGX Cloud) or proprietary hardware, which are investments in the thousands to tens of thousands of dollars.

Practical Impact: What Does This Mean for Us?

For the average user in the Czech Republic, this means that the tools we use for work (such as ChatGPT or Claude) are becoming increasingly intelligent in the field of logic. If you are a programmer, copywriter, or analyst, you will not just be "writing," but "designing."

For the European market and companies, regulation is also key. Under the EU AI Act, models entering the European market must be transparent and safe. This may mean that while American models will be very powerful, European companies will prefer those that meet strict standards for explainability of decisions, an area where Claude and specialized models from NVIDIA are trying to position themselves.

Summary for Businesses: If you are looking for a tool for daily productivity, opt for Claude or ChatGPT. If you are a research team or a technology company solving complex physical or chemical problems, your focus should be on solutions from NVIDIA.