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Hermes 4 Just Proved Open Source AI Can Beat OpenAI

#AI Tools
2025-09-03 00:359 min read

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The video discusses the introduction of Hermes 4, an advanced open-source language model boasting 405 billion parameters that excels in reasoning, achieving scores above 96% in tests. Additionally, it covers Google's regression language model (RLM), aimed at predicting the behavior of complex systems with remarkable accuracy, leveraging structured text rather than traditional approaches. The contrast between the innovative methods of Hermes 4 and the traditional models is highlighted, showcasing Hermes 4's capabilities in providing flexible, deeper reasoning while maintaining context and ensuring safety. The RLM's performance exceeds old regression models significantly, demonstrating its adaptability and efficiency in processing complex data formats. Finally, the video emphasizes the potential of these breakthroughs in improving AI's utility across various domains and the advantages of platforms like Magi that streamline AI use, making advanced models more accessible.

Key Information

  • Hermes 4 is a powerful AI model with 405 billion parameters that excels in reasoning tests with scores over 96%.
  • Google has introduced a new Regression Language Model (RLM) framework designed to predict complex system behaviors with high accuracy.
  • RLM represents a significant shift in AI by enabling prediction and handling data in structured text formats, enhancing speed and adaptability.
  • Hermes 4 features a hybrid reasoning approach, responding directly to simple queries and engaging in detailed reasoning for complex questions.
  • The models are designed to provide confidence measures alongside predictions, making them more effective for simulations and digital twins.
  • Magi is a platform that aggregates various AI models, allowing users to interact with multiple tools in a single workspace, streamlining workflows.
  • Pricing for Magi offers affordable plans, making it accessible for individual and team users.

Timeline Analysis

Content Keywords

Hermes 4

Hermes 4 is a 405 billion parameter AI model that excels in reasoning and showing its full chain of thought, achieving scores over 96% on reasoning tests. It's available in multiple versions, including one with 14 billion parameters and another with 70 billion, all built on Meta Lama 3.1. The model incorporates innovative techniques post-training, proving the efficiency of open-source developments.

Hybrid Reasoning

Hermes 4 demonstrates a unique hybrid reasoning capability, allowing it to switch between direct answers and detailed reasoning processes as needed. This adds a balance of simplicity for straightforward queries while providing extensive explanations for more complex ones.

Data Forge

Data Forge is an innovative system used in developing Hermes 4, which creates synthetic training materials instead of using traditional messy internet data. It employs a complex graph structure to reshape data, pushing the boundaries of how training data is generated.

Google RLM

Google's Regression Language Model (RLM) framework aims to improve predictions for large systems by reframing regression processes as text-to-text. This new approach simplifies the prediction of complex system behaviors without needing extensive feature engineering, making the system adaptable and efficient.

AI Integration Platform

Magi is a comprehensive platform that allows users to access over 50 leading AI models, including GPT-5 and Claude Pro, in a single workspace. It streamlines workflows by allowing users to switch models mid-conversation without losing context, benefiting content creation and marketing professionals.

Related questions&answers

What is Hermes 4?

Hermes 4 is a new AI model with 405 billion parameters that can demonstrate a full chain of thought and achieve reasoning test scores of over 96%.

How many versions of Hermes 4 are there?

Hermes 4 comes in three versions: 14 billion parameters, 70 billion parameters, and the full version with 405 billion parameters.

What advancements did Hermes 4 achieve in reasoning tests?

Hermes 4 crushed reasoning tests with scores over 96%.

What are the breakthroughs mentioned in relation to Hermes 4?

There were two significant breakthroughs: the launch of Hermes 4 and Google's introduction of a regression language model system.

What techniques were used to develop Hermes 4 without secret data sets?

Hermes 4 relied on smart techniques applied after the base training rather than using secret data sets or closed-off pipelines.

What does the term 'hybrid reasoning' refer to in the context of Hermes 4?

Hybrid reasoning means that Hermes 4 can provide direct answers to simple questions and switch to a reasoning mode for more complex queries, outlining its full logic step by step.

What innovative system underpins Hermes 4's ability to reason?

The reasoning capability of Hermes 4 is supported by a system called DataForge, which generates synthetic training material.

How was Hermes 4 trained?

Hermes 4 was trained on 5 million samples totaling 19 billion tokens, with oversized examples to enhance long-form reasoning capabilities.

What is Atropos in relation to Hermes 4?

Atropos is an open-source reinforcement learning environment used by Noose Research to improve the quality of Hermes 4.

What is Google's RLM system?

The regression language model (RLM) framework aims to address the challenges of predicting how complex systems behave, offering a more efficient and adaptable approach compared to traditional methods.

How does RLM improve upon traditional regression methods?

RLM allows for predictions using structured text rather than requiring the flattening of data into tables and it can quickly adapt to new tasks with minimal examples.

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