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		<title>Generative AI in the Real World</title>
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		<description>In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.</description>
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		<copyright>© 2025 Radar</copyright>
		<itunes:subtitle>Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology</itunes:subtitle>
		<itunes:author>Radar</itunes:author>
		<itunes:summary>In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.</itunes:summary>
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	<title>Generative AI in the Real World: The Year in AI with Ksenia Se</title>
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	<pubDate>Thu, 11 Dec 2025 12:42:43 +0000</pubDate>
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	<description><![CDATA[As the founder, editor, and lead writer of Turing Post, Ksenia Se spends her days peering into the emerging future of artificial intelligence. She joined Ben to discuss the current state of adoption: what people are actually doing right now, the big topics that got the most traction this year, and the trends to look [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[As the founder, editor, and lead writer of Turing Post, Ksenia Se spends her days peering into the emerging future of artificial intelligence. She joined Ben to discuss the current state of adoption: what people are actually doing right now, the big topi]]></itunes:subtitle>
	<content:encoded><![CDATA[As the founder, editor, and lead writer of Turing Post, Ksenia Se spends her days peering into the emerging future of artificial intelligence. She joined Ben to discuss the current state of adoption: what people are actually doing right now, the big topics that got the most traction this year, and the trends to look [&#8230;]]]></content:encoded>
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	<title>Generative AI in the Real World: The LLMOps Shift with Abi Aryan</title>
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	<pubDate>Thu, 20 Nov 2025 12:16:32 +0000</pubDate>
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	<description><![CDATA[MLOps is dead. Well, not really, but for many the job is evolving into LLMOps. In this episode, Abide AI founder and LLMOps author Abi Aryan joins Ben to discuss what LLMOps is and why it’s needed, particularly for agentic AI systems. Listen in to hear why LLMOps requires a new way of thinking about [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[MLOps is dead. Well, not really, but for many the job is evolving into LLMOps. In this episode, Abide AI founder and LLMOps author Abi Aryan joins Ben to discuss what LLMOps is and why it’s needed, particularly for agentic AI systems. Listen in to hear w]]></itunes:subtitle>
	<content:encoded><![CDATA[MLOps is dead. Well, not really, but for many the job is evolving into LLMOps. In this episode, Abide AI founder and LLMOps author Abi Aryan joins Ben to discuss what LLMOps is and why it’s needed, particularly for agentic AI systems. Listen in to hear why LLMOps requires a new way of thinking about [&#8230;]]]></content:encoded>
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	<title>Generative AI in the Real World: Laurence Moroney on AI at the Edge</title>
	<link>https://www.oreilly.com/radar/podcast/generative-ai-in-the-real-world-laurence-moroney-on-ai-at-the-edge/</link>
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	<description><![CDATA[In this episode, Laurence Moroney, director of AI at Arm, joins Ben Lorica to chat about the state of deep learning frameworks—and why you may be better off thinking a step higher, on the solution level. Listen in for Laurence’s thoughts about posttraining; the evolution of on-device AI (and how tools like ExecuTorch and LiteRT [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this episode, Laurence Moroney, director of AI at Arm, joins Ben Lorica to chat about the state of deep learning frameworks—and why you may be better off thinking a step higher, on the solution level. Listen in for Laurence’s thoughts about posttraini]]></itunes:subtitle>
	<content:encoded><![CDATA[In this episode, Laurence Moroney, director of AI at Arm, joins Ben Lorica to chat about the state of deep learning frameworks—and why you may be better off thinking a step higher, on the solution level. Listen in for Laurence’s thoughts about posttraining; the evolution of on-device AI (and how tools like ExecuTorch and LiteRT [&#8230;]]]></content:encoded>
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	<title>Generative AI in the Real World: Chris Butler on GenAI in Product Management</title>
	<link>https://www.oreilly.com/radar/podcast/generative-ai-in-the-real-world-product-management-in-the-age-of-ai-with-chris-butler/</link>
	<pubDate>Thu, 30 Oct 2025 11:29:41 +0000</pubDate>
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	<description><![CDATA[In this episode, Ben Lorica and Chris Butler, director of product operations for GitHub&#8217;s Synapse team, chat about the experimentation Chris is doing to incorporate generative AI into the product development process—particularly with the goal of reducing toil for cross-functional teams. It isn’t just automating busywork (although there’s some of that). He and his team [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this episode, Ben Lorica and Chris Butler, director of product operations for GitHub&#8217;s Synapse team, chat about the experimentation Chris is doing to incorporate generative AI into the product development process—particularly with the goal of re]]></itunes:subtitle>
	<content:encoded><![CDATA[In this episode, Ben Lorica and Chris Butler, director of product operations for GitHub&#8217;s Synapse team, chat about the experimentation Chris is doing to incorporate generative AI into the product development process—particularly with the goal of reducing toil for cross-functional teams. It isn’t just automating busywork (although there’s some of that). He and his team [&#8230;]]]></content:encoded>
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	<title>Generative AI in the Real World: Context Engineering with Drew Breunig</title>
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	<pubDate>Thu, 16 Oct 2025 11:18:24 +0000</pubDate>
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	<description><![CDATA[In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next. Listen in to hear why huge context windows aren’t solving the problems we hoped they might, why companies shouldn’t discount evals and testing, and [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next. Listen in to hear why huge context windows aren’t solvin]]></itunes:subtitle>
	<content:encoded><![CDATA[In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next. Listen in to hear why huge context windows aren’t solving the problems we hoped they might, why companies shouldn’t discount evals and testing, and [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next. Listen in to hear why huge context windows aren’t solving the problems we hoped they might, why companies shouldn’t discount evals and testing, and [&#8230;]]]></itunes:summary>
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	<title>Generative AI in the Real World: Emmanuel Ameisen on LLM Interpretability</title>
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	<pubDate>Thu, 02 Oct 2025 14:31:22 +0000</pubDate>
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	<description><![CDATA[In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to find out what they’ve uncovered by taking a microscopic look at how LLMs function—and just how far the analogy to the human brain holds. [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to find out what they’ve uncovered by taking a microscopic l]]></itunes:subtitle>
	<content:encoded><![CDATA[In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to find out what they’ve uncovered by taking a microscopic look at how LLMs function—and just how far the analogy to the human brain holds. [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to find out what they’ve uncovered by taking a microscopic look at how LLMs function—and just how far the analogy to the human brain holds. [&#8230;]]]></itunes:summary>
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