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    Home » Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time
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    Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time

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    Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time
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    While Claude Opus 4 will probably be restricted to paying Anthropic clients, a second model, Claude Sonnet 4, will probably be accessible for each paid and free tiers of customers. Opus 4 is being marketed as a highly effective, massive model for advanced challenges, whereas Sonnet 4 is described as a good, environment friendly model for on a regular basis use.  

    Both of the new fashions are hybrid, which means they can supply a swift reply or a deeper, extra reasoned response relying on the character of a request. While they calculate a response, each fashions can search the net or use different instruments to enhance their output.

    AI firms are presently locked in a race to create really helpful AI brokers which can be in a position to plan, purpose, and execute advanced tasks each reliably and free from human supervision, says Stefano Albrecht, director of AI at the startup DeepFlow and coauthor of Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. Often this includes autonomously utilizing the web or different instruments. There are nonetheless security and safety obstacles to beat. AI brokers powered by massive language fashions can act erratically and carry out unintended actions—which turns into much more of a downside after they’re trusted to behave with out human supervision.

    “The more agents are able to go ahead and do something over extended periods of time, the more helpful they will be, if I have to intervene less and less,” he says. “The new models’ ability to use tools in parallel is interesting—that could save some time along the way, so that’s going to be useful.”

    As an instance of the kinds of issues of safety AI firms are nonetheless tackling, brokers can find yourself taking sudden shortcuts or exploiting loopholes to achieve the targets they’ve been given. For instance, they could e book each seat on a airplane to make sure that their person will get a seat, or resort to inventive dishonest to win a chess sport. Anthropic says it managed to scale back this habits, often known as reward hacking, in each new fashions by 65% relative to Claude Sonnet 3.7. It achieved this by extra carefully monitoring problematic behaviors throughout coaching, and bettering each the AI’s coaching surroundings and the analysis strategies.

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