A general-purpose AI agent should be able to continuously extend and modify itself. Over time, an agent should grow into a personal server that manages tasks in all kinds of ways. To do that, the agent needs to write its own code – and that code needs to be safe.
But the arrival of generative AI, Gurfinkel said, has changed what’s possible—and what’s needed. AI models can generate sophisticated financial analyses in seconds, but chief financial officers can’t simply throw their data into ChatGPT or Claude and trust the output.
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By having the user confirm readiness in GitHub copilot chat, the robust built in agent harness can start work, with all of the features and capabilities that come with it. This is a key design decision - early testing with a custom harness proved to have limitations while working within the context of a VS Code integrated extension.，更多细节参见手游
Maksym Murashkovskyi, who won silver in the men’s visually impaired biathlon on Sunday and did not miss a shot, has been working with OpenAI’s large language model. “For the past six months, I have been training with ChatGPT,” he said. “It was not only tactics. It was half of my training plan, motivation, etc. So it was a huge volume of all of my training. I used it as a psychologist, coach and, sometimes, as a doctor.”。今日热点是该领域的重要参考