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原文摘要：In this tutorial, we build a full PDF-to-structured-data 工作流 around Lift, built for controlled 评测 rather than a one-off demo. We prepare a Colab GPU environment, load 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：Anthropic is redeploying Claude Fable 5 on July 1 after US export controls were lifted. A new safety classifier blocks the technique in the Amazon report over 99% of the time, rout 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：In this post, we demonstrate how to deploy BoltzGen on SageMaker AI and run an end-to-end protein design experiment. By the end of the walkthrough, you have a working setup that sc 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders. 来源：Google AI 官方博客。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1 and 10.” You’re going to get 7. Almost always. Now type 来源：MIT Technology Review AI。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：An OpenAI 评测 paper suggests that the Pro tier of GPT-5.6 could ship in three variants. That would be the first major change to ChatGPT Pro's structure since the pla 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：NVIDIA has released Nemotron-Labs-TwoTower, a diffusion language model built on a pretrained autoregressive backbone. It ships as open weights under the NVIDIA Nemotron Open Model 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：Google Research has released TabFM, a foundation model for tabular data. It performs zero-shot classification and regression through in-context learning. Predictions come from a si 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：After a two-week ban, the US government is letting Anthropic ship Fable 5 globally again. Amazon researchers had found a jailbreak, but Anthropic says even much smaller mo 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
原文摘要：In this tutorial, we explore CUP, Baidu's Common Useful Python library, as a practical utility toolkit for stronger Python 工作流. We install it in a Colab-friendly environment 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。