The new open-source AI, S1, challenges traditional AI models. The system uses a similar reasoning model. That Gemini uses. The reasoning language model is not, actually another name for LLMs. And that is a new step for the AI. Open-source solutions challenge traditional AI. Open-source is not the same as free software. In open-source solutions, developers and other experts can investigate the source code. And that makes the code safer. But that requires deep knowledge of the programming.
And there is a lot of code in complicated applications that R&D workers must check. Free software means software that we can download it free. But we cannot check the source code, and that makes it possible to slip malicious components in the code. So most so-called trojan horses are freeware. That means the user downloads some very useful-looking software from the net. And then there is the component that acts as spyware.
Above: A curated list of awesome large AI models, or foundation models, for reasoning.(GitHub, Awesome-Reasoning-Foundation-Models)
Gemini AI tells about the LLM and LRM this:
"Large language models (LLMs) and reasoning language models (RLMs) are related, but not exactly the same. Here's a breakdown:" (Gemini)
"Large Language Models (LLMs): These are deep learning models trained on massive amounts of text data. They excel at understanding and generating human language. LLMs can perform tasks like translation, summarization, and even creative writing. However, they are primarily focused on language and may not have strong reasoning abilities." (Gemini)
"Reasoning Language Models (RLMs): These models are designed to go beyond basic language tasks and perform reasoning. They can handle tasks that require logical thinking, problem-solving, and drawing inferences. RLMs often incorporate techniques that allow them to understand the underlying meaning and relationships within the text, rather than just processing the surface-level language." (Gemini)
"Key Differences:"
"Focus: LLMs focus on language understanding and generation, while RLMs emphasize reasoning and problem-solving." (Gemini)
"Capabilities: LLMs are good at language-based tasks, but may struggle with complex reasoning. RLMs are designed to handle reasoning tasks, but may not be as strong in pure language generation as LLMs. "(Gemini)
Techniques: RLMs often use techniques like symbolic reasoning, knowledge graphs, or logical inference to enhance their reasoning abilities." (Gemini)
Relationship:
"RLMs can be considered a subset of LLMs. They build upon the capabilities of LLMs by adding reasoning mechanisms. "(Gemini)
Many LLMs are now being developed with improved reasoning capabilities, blurring the lines between LLMs and RLMs. (Gemini)
"In Summary:" (Gemini)
"While all RLMs are LLMs, not all LLMs are RLMs. RLMs are a specialized type of LLM that focuses on reasoning and problem-solving. "(Gemini)
The S1 is the signal for the world. The AI is cheaper than we expect. Things like morphing neural networks that share their missions over a large number of less powerful microchips. Morphing neural networks makes it possible to run complicated applications without the latest processor technology. And that makes the AI more complicated than ever before. The AI can generate software. That is extremely complicated. The AI and large language models can turn into virus generators.
Some people want to give AI to every man and woman on our planet. That can make things like programming and mathematical algorithms more powerful. The ability to connect every smart device together into the giant neural network makes the planet safer. But in the wrong hands the systems that make streets safer turn into surveillance tools, that are more dangerous than we expected. Persons like Stalin and Hitler cannot ever be so dangerous as a person who controls global AI.
The AI can save human lives. It can detect heart problems before the person even notices those things. But the AI can used to create programs for next-generation jet fighters and tanks. And it's easy to hide malicious code in complicated programs. The AI can collect data from every device, filter, and sort it.
https://www.ceotodaymagazine.com/2025/02/open-source-ai-model-s1-developed-for-less-than-50-challenges-industry-norms/
https://www.digitalocean.com/community/tutorials/understanding-reasoning-in-llms
https://github.com/reasoning-survey/Awesome-Reasoning-Foundation-Models
https://www.edps.europa.eu/data-protection/technology-monitoring/techsonar/large-language-models-llm_en
https://www.hpe.com/fi/en/what-is/large-language-model.html
https://www.rws.com/blog/large-language-models-humans/
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