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  1. GitHub Blog · AI & ML

    GitHub Podcast: Should You Read AI-Generated Code, Is RAG Dead, Did Skills Kill MCP?

    The latest episode of the GitHub Podcast breaks down five hot AI claims: AI-generated code still needs to be read and owned, but the intensity of review should be risk-tiered; Skills and MCP solve different problems—the former is packaged expert knowledge, the latter is a standard for connecting tools and data; RAG is not dead—retrieval brings models closer to the answer and reduces token waste. The episode also discusses judging AI usage in hiring, and the relationship between fine-tuned models and codebase maintainability.

    ub Podcast breaks down five hot AI claims: AI-generated code still needs to be read and owned, but the intensity of review should be risk-tiered; Skills and MCP solve different problems—the former is packaged expert knowledge, the latter is a standard for connecting tools and data; RAG is not dead—retrieval brings models closer to the answer and reduces token waste. The episode also discusses judging AI usage in hiring, and the relationship between fine-tuned models and codebase maintainability.

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    #lab#English text is being prepared.#Agents#RAG

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  1. Story1 reports · 1 facts

    Entourage Completes Second Fundraising Round, Raising €100 Million

    European early-stage venture capital firm Entourage has completed the fundraising for its second fund, with a size of €100 million. According to Tech.eu, the fund exceeded its initial target of €75 million and was capped after being oversubscribed within two weeks. The fund plans to invest in about 25 companies in Europe and other markets at the pre-seed and seed stages, with individual checks of €1 million to €5 million, expanding its focus from software to AI, enterprise software, robotics, physical AI and deep tech. Entourage was founded by Showpad co-founder Pieterjan Bouten and has previously made early investments in Aikido Security, Conveo and Lexroom.

    European early-stage venture capital firm Entourage has completed the fundraising for its second fund, with a size of €100 million. According to Tech.eu, the fund exceeded its initial target of €75 million and was capped after being oversubscribed within two weeks. The fund plans to invest in about 25 companies in Europe and other markets at the pre-seed and seed stages, with individual checks of €1 million to €5 million, expanding its focus from software to AI, enterprise software, robotics, ph

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Thursday

  1. FactRelated story

    Entourage completes second fund raising, with a scale of 100 million euros

    European early-stage venture capital firm Entourage has completed the fundraising for its second fund, with a size of €100 million. According to Tech.eu, the fund exceeded its initial target of €75 million and was capped after being oversubscribed within two weeks. The fund plans to invest in about 25 companies in Europe and other markets at the pre-seed and seed stages, with individual checks of €1 million to €5 million, expanding its focus from software to AI, enterprise software, robotics, physical AI and deep tech. Entourage was founded by Showpad co-founder Pieterjan Bouten and has previously made early investments in Aikido Security, Conveo and Lexroom.

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    View story:Entourage Completes Second Fundraising Round, Raising €100 Million

Wednesday

  1. Story1 reports · 1 facts

    Paris Smaragdis proposes to make machines hear better than humans

    MIT professor Paris Smaragdis's research group proposes to give machines auditory capabilities surpassing those of humans, and to apply this goal to scenarios such as speech recognition, music understanding, and environmental monitoring. His research covers machine learning for sound source separation, intelligent devices that can augment human auditory environments, and tools that help people understand, manipulate, analyze, and create music. Smaragdis joined MIT in 2025 and holds appointments in the Music and Theater Arts program and the Department of Electrical Engineering and Computer Science. This direction is still at the research advancement stage, and no subsequent progress has been disclosed.

    MIT professor Paris Smaragdis's research group proposes to give machines auditory capabilities surpassing those of humans, and to apply this goal to scenarios such as speech recognition, music understanding, and environmental monitoring. His research covers machine learning for sound source separation, intelligent devices that can augment human auditory environments, and tools that help people understand, manipulate, analyze, and create music. Smaragdis joined MIT in 2025 and holds appointments

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  2. FactRelated story

    Paris Smaragdis proposes to make machines hear better than humans

    MIT professor Paris Smaragdis's research group proposes to give machines auditory capabilities surpassing those of humans, and to apply this goal to scenarios such as speech recognition, music understanding, and environmental monitoring. His research covers machine learning for sound source separation, intelligent devices that can augment human auditory environments, and tools that help people understand, manipulate, analyze, and create music. Smaragdis joined MIT in 2025 and holds appointments in the Music and Theater Arts program and the Department of Electrical Engineering and Computer Science. This direction is still at the research advancement stage, and no subsequent progress has been disclosed.

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    View story:Paris Smaragdis proposes to make machines hear better than humans