During these last years, artificial intelligence has advanced with increasingly specialized models. Some designed for creativity, others for logical reasoning or programming. But, What if a single model could do everything? Anthropic believes that this future is closer with the launch of Claude 3.7 Sonnetits most advanced model to date.
Anthropic, created by Openai ex -women and who has always emerged for having an approach (at least on paper) very aware of the risks of AI has launched its First model of “hybrid reasoning”which surpasses its predecessors in complex tasks such as mathematics and programming.
In addition, he has presented Claude Code, a new agent to write test phase codewhich allows writing, editing and executing code autonomously. Claude 3.7 Sonnet maintains the same cost of use as its previous version and It offers improvements in software, finance and law engineering tasks.
Although it still does not access in real time to the web, its knowledge is updated until October 2024. ANthropic seeks with this launch to consolidate a unique model that combines advanced capabilities No need for separate systems for different tasks.
Not only promises to solve more complex problems in mathematics and programming, but also introduces a “hybrid reasoning” approach. In addition, the company has launched Claude Code, a tool that carries the coding assisted by AI to a new level. Are we facing the end of the specialized models?
What is hybrid reasoning and why it is important
Most current AI models are divided into categories according to their abilities. Some stand out in creativity, others in mathematical logic and reasoning, while others are specifically designed to program. However, this approach has a disadvantage: it forces users to choose between different tools for different tasks.
Anthropic wanted to break that barrier with Claude 3.7 Sonnet. Its “hybrid reasoning” means that the model can dynamically change between different ways of thinking. You can immediately answer simple questions such as “What time is it?”, But you can also plan a two -week trip to Italy considering factors such as climate and the best transport routes.
This advance is not just a technical improvement. Represents a paradigm change in the development of AI: Instead of specialized models, we could be advancing towards universal systems, capable of performing multiple tasks with the same efficiency.
Claude Code’s revolution: more than a programming assistant
Claude Code is not just another IA -based coding tool. Anthropic presents it as an agent assistant, which means that he not only suggests lines of code, but also can:
- Read and understand complex code structures.
- Edit files and make iterative changes.
- Write and run software tests.
- Use command line tools and work directly with github repositories.
In the context of software development, this means that Claude Code is not only a co -pilot, but an active collaborator. You can take care of repetitive tasks, automate processes and improve the efficiency of programming equipment.
In addition, engineers of Anthropic have already used Claude 3.7 Sonnet To design web interfaces, create interactive games and even to work in coding sessions up to 45 minutes without human intervention.
Is this the future of artificial intelligence?
The AI industry advances at a dizzying speed. While Openai, Google and other companies have opted for specialized models for different tasks, Anthropic seems to be betting on a unified approach.
The fact that Claude 3.7 Sonnet can overcome its previous versions in programmingfinance and law suggests that the idea of a single powerful model is increasingly viable. To this is added the possibility that developers adjust the response speed of the model according to their needs, which makes it even more versatile.
However, the model still has limitations. His knowledge is updated until October 2024 and cannot perform real -time searches, which leaves him at a disadvantage against models that do have access to the web.
But Claude 3.7 Sonnet and Claude Code will not be immediate. As more developers experience with their abilities, we will see if this hybrid approach really marks the way to the next generation of AI.
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