<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:jellypod="https://jellypod.ai/namespace/1.0" xmlns:psc="http://podlove.org/simple-chapters"><channel><title><![CDATA[AI News - InfoFina.com]]></title><description><![CDATA[AI moves fast. Andy form InfoFina.com AI news moves faster. Every day, he scans the AI space so you don't have to — breaking down what's new, what matters, and what you can actually use. No jargon. No hype. Just an everyday guy with a spreadsheet open in one window and a burning curiosity about the future in the other. If you're just getting started with AI — or wondering why everyone keeps talking about it — pull up a chair. AI news form InfoFina.com is your daily three-minute briefing, served fresh every morning. (Powered by Jellypod)]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com</link><generator>Powered by Jellypod (https://www.jellypod.com)</generator><lastBuildDate>Tue, 30 Jun 2026 17:30:41 GMT</lastBuildDate><atom:link href="https://ai-news---infofinacom-svn99g.jellypod.com/rss" rel="self" type="application/rss+xml"/><pubDate>Sat, 18 Apr 2026 08:55:03 GMT</pubDate><copyright><![CDATA[Copyright 2026 AI News - InfoFina.com]]></copyright><language><![CDATA[en]]></language><podcast:locked owner="feed+44e6cd5a@podcasts.jellypod.com">yes</podcast:locked><podcast:guid>e1b01d4a-9981-45b9-86d2-32b05c36193f</podcast:guid><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>AI moves fast. Andy form InfoFina.com AI news moves faster. Every day, he scans the AI space so you don&apos;t have to — breaking down what&apos;s new, what matters, and what you can actually use. No jargon. No hype. Just an everyday guy with a spreadsheet open in </itunes:subtitle><itunes:summary>AI moves fast. Andy form InfoFina.com AI news moves faster. Every day, he scans the AI space so you don&apos;t have to — breaking down what&apos;s new, what matters, and what you can actually use. No jargon. No hype. Just an everyday guy with a spreadsheet open in one window and a burning curiosity about the future in the other. If you&apos;re just getting started with AI — or wondering why everyone keeps talking about it — pull up a chair. AI news form InfoFina.com is your daily three-minute briefing, served fresh every morning. (Powered by Jellypod)</itunes:summary><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>Markus Koeberle</itunes:name><itunes:email>feed+44e6cd5a@podcasts.jellypod.com</itunes:email></itunes:owner><itunes:explicit>false</itunes:explicit><itunes:category text="Technology"/><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><item><title><![CDATA[Agentic AI Reshapes Cybersecurity in 2026]]></title><description><![CDATA[Cybercrime hits a tipping point as agentic AI startups automate threat detection, incident response, and hardware-level defense.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/64dd5133-1edc-49ea-b0a3-bc13ff2f4de1</link><guid isPermaLink="false">64dd5133-1edc-49ea-b0a3-bc13ff2f4de1</guid><pubDate>Mon, 29 Jun 2026 14:28:07 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/64dd5133-1edc-49ea-b0a3-bc13ff2f4de1/audio.mp3?v=53e3de22-39b1-4307-8abb-58a84e87b4c0" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>7</podcast:episode><content:encoded><![CDATA[Cybercrime hits a tipping point as agentic AI startups automate threat detection, incident response, and hardware-level defense.]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/64dd5133-1edc-49ea-b0a3-bc13ff2f4de1/captions_1782743281.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>Cybercrime hits a tipping point as agentic AI startups automate threat detection, incident response, and hardware-level defense.</itunes:subtitle><itunes:summary>Cybercrime hits a tipping point as agentic AI startups automate threat detection, incident response, and hardware-level defense.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:duration>00:01:43</itunes:duration><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[AI News Podcast Undersea Cables FCC Shift]]></title><description><![CDATA[The FCC has overhauled decades-old rules for submarine cable infrastructure, targeting submarine line terminal equipment and restricting vendors tied to foreign adversaries. The episode breaks down the new cyber hygiene, supply chain, and authentication requirements—and how a presumptive exemption could speed approvals for compliant operators.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/77275d74-8e83-42d1-8bc2-efeb3cb9d79d</link><guid isPermaLink="false">77275d74-8e83-42d1-8bc2-efeb3cb9d79d</guid><pubDate>Fri, 26 Jun 2026 13:41:18 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/77275d74-8e83-42d1-8bc2-efeb3cb9d79d/audio.mp3?v=a00edcfc-4bf9-4eea-963e-ba598f5682ec" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>6</podcast:episode><content:encoded><![CDATA[<p>The FCC has overhauled decades-old rules for submarine cable infrastructure, targeting submarine line terminal equipment and restricting vendors tied to foreign adversaries. The episode breaks down the new cyber hygiene, supply chain, and authentication requirements—and how a presumptive exemption could speed approvals for compliant operators.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/77275d74-8e83-42d1-8bc2-efeb3cb9d79d/captions_1782481272.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>The FCC has overhauled decades-old rules for submarine cable infrastructure, targeting submarine line terminal equipment and restricting vendors tied to foreign adversaries. The episode breaks down the new cyber hygiene, supply chain, and authentication r</itunes:subtitle><itunes:summary>The FCC has overhauled decades-old rules for submarine cable infrastructure, targeting submarine line terminal equipment and restricting vendors tied to foreign adversaries. The episode breaks down the new cyber hygiene, supply chain, and authentication requirements—and how a presumptive exemption could speed approvals for compliant operators.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:duration>00:02:55</itunes:duration><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[GLM-5.1: The Open-Weight Model Challenging GPT-5.4]]></title><description><![CDATA[We break down how Z.ai’s GLM-5.1 landed a 58.4 on SWE-Bench Pro and edged past leading proprietary models on a major coding benchmark. Then we dig into why its MIT license, open weights, and tool-use focus could reshape the business of AI coding assistants.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/4481f8fc-7e9b-4257-9d68-c0246ad078ce</link><guid isPermaLink="false">4481f8fc-7e9b-4257-9d68-c0246ad078ce</guid><pubDate>Mon, 20 Apr 2026 13:50:24 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/4481f8fc-7e9b-4257-9d68-c0246ad078ce/audio.mp3?v=e53ca0f9-cbe4-459a-af94-71a13d8a15d2" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>5</podcast:episode><content:encoded><![CDATA[<p>We break down how Z.ai’s GLM-5.1 landed a 58.4 on SWE-Bench Pro and edged past leading proprietary models on a major coding benchmark. Then we dig into why its MIT license, open weights, and tool-use focus could reshape the business of AI coding assistants.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/4481f8fc-7e9b-4257-9d68-c0246ad078ce/captions_1776693013.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>We break down how Z.ai’s GLM-5.1 landed a 58.4 on SWE-Bench Pro and edged past leading proprietary models on a major coding benchmark. Then we dig into why its MIT license, open weights, and tool-use focus could reshape the business of AI coding assistant</itunes:subtitle><itunes:summary>We break down how Z.ai’s GLM-5.1 landed a 58.4 on SWE-Bench Pro and edged past leading proprietary models on a major coding benchmark. Then we dig into why its MIT license, open weights, and tool-use focus could reshape the business of AI coding assistants.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:duration>00:09:57</itunes:duration><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[TurboQuant and the Hidden KV Cache Bottleneck]]></title><description><![CDATA[Andy breaks down why LLM demos can fail in production even when the model fits on the GPU: the real pressure often comes from the KV cache during long prompts and high concurrency. He also explains Google Research’s TurboQuant approach, how 3-bit cache compression could slash memory use and infrastructure costs, and what to test before trying it in a self-hosted stack.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/305b7295-b3c8-49a5-860f-98ba6f5f4728</link><guid isPermaLink="false">305b7295-b3c8-49a5-860f-98ba6f5f4728</guid><pubDate>Sun, 19 Apr 2026 06:45:10 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/305b7295-b3c8-49a5-860f-98ba6f5f4728/1776669015577.mp3?v=070ef8ce-7ec3-4b0f-930e-2c5893f80e20" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>4</podcast:episode><content:encoded><![CDATA[<p>Andy breaks down why LLM demos can fail in production even when the model fits on the GPU: the real pressure often comes from the <em>KV cache</em> during long prompts and high concurrency. He also explains Google Research’s TurboQuant approach, how 3-bit cache compression could slash memory use and infrastructure costs, and what to test before trying it in a self-hosted stack.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/305b7295-b3c8-49a5-860f-98ba6f5f4728/captions_1776669061.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>Andy breaks down why LLM demos can fail in production even when the model fits on the GPU: the real pressure often comes from the KV cache during long prompts and high concurrency. He also explains Google Research’s TurboQuant approach, how 3-bit cache co</itunes:subtitle><itunes:summary>Andy breaks down why LLM demos can fail in production even when the model fits on the GPU: the real pressure often comes from the KV cache during long prompts and high concurrency. He also explains Google Research’s TurboQuant approach, how 3-bit cache compression could slash memory use and infrastructure costs, and what to test before trying it in a self-hosted stack.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[GPT-5.4 Can Use Your Desktop Now]]></title><description><![CDATA[We break down OpenAI’s GPT-5.4 and its native computer-use abilities, from screenshot-driven clicks and typing to why the 75% OSWorld score matters for real office automation. The episode also covers developer controls, finance and ops use cases, pricing, and the guardrails you’ll need before putting it into production.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/49d88576-21dd-47d8-a314-31350de76074</link><guid isPermaLink="false">49d88576-21dd-47d8-a314-31350de76074</guid><pubDate>Sat, 18 Apr 2026 18:24:13 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/49d88576-21dd-47d8-a314-31350de76074/audio.mp3?v=a86efdeb-2f9e-4c8e-933d-608edf4afeb2" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>3</podcast:episode><content:encoded><![CDATA[<p>We break down OpenAI’s GPT-5.4 and its native computer-use abilities, from screenshot-driven clicks and typing to why the 75% OSWorld score matters for real office automation. The episode also covers developer controls, finance and ops use cases, pricing, and the guardrails you’ll need before putting it into production.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/49d88576-21dd-47d8-a314-31350de76074/captions_1776536641.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>We break down OpenAI’s GPT-5.4 and its native computer-use abilities, from screenshot-driven clicks and typing to why the 75% OSWorld score matters for real office automation. The episode also covers developer controls, finance and ops use cases, pricing,</itunes:subtitle><itunes:summary>We break down OpenAI’s GPT-5.4 and its native computer-use abilities, from screenshot-driven clicks and typing to why the 75% OSWorld score matters for real office automation. The episode also covers developer controls, finance and ops use cases, pricing, and the guardrails you’ll need before putting it into production.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:duration>00:09:48</itunes:duration><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Anthropic’s Mythos and the New Era of Autonomous Exploits]]></title><description><![CDATA[Anthropic’s restricted release of its most powerful model to top defenders raises a huge question: is this a security breakthrough or the start of a new offensive AI arms race? We dig into Mythos’ reported ability to independently find, reproduce, and exploit a 17-year-old FreeBSD flaw, and what that means for patching, disclosure, and enterprise defense.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/c8ad6e31-b8d8-4820-b8f5-20b078471e0d</link><guid isPermaLink="false">c8ad6e31-b8d8-4820-b8f5-20b078471e0d</guid><pubDate>Sat, 18 Apr 2026 18:03:32 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/c8ad6e31-b8d8-4820-b8f5-20b078471e0d/1776671370571.mp3?v=c6fda8b8-4987-41cf-8468-7a045d33ae86" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>2</podcast:episode><content:encoded><![CDATA[<p>Anthropic’s restricted release of its most powerful model to top defenders raises a huge question: is this a security breakthrough or the start of a new offensive AI arms race? We dig into Mythos’ reported ability to independently find, reproduce, and exploit a 17-year-old FreeBSD flaw, and what that means for patching, disclosure, and enterprise defense.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/c8ad6e31-b8d8-4820-b8f5-20b078471e0d/captions_1776671424.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>Anthropic’s restricted release of its most powerful model to top defenders raises a huge question: is this a security breakthrough or the start of a new offensive AI arms race? We dig into Mythos’ reported ability to independently find, reproduce, and exp</itunes:subtitle><itunes:summary>Anthropic’s restricted release of its most powerful model to top defenders raises a huge question: is this a security breakthrough or the start of a new offensive AI arms race? We dig into Mythos’ reported ability to independently find, reproduce, and exploit a 17-year-old FreeBSD flaw, and what that means for patching, disclosure, and enterprise defense.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[OpenAI’s Hiro Deal: A Week to Save Your Finance Data]]></title><description><![CDATA[OpenAI’s acquisition of Hiro Finance comes with a rapid shutdown, permanent data deletion, and a seven-day window for users to export their information. The episode explores why Hiro’s verified financial math mattered, what Ethan Bloch’s team brings to OpenAI, and how this deal could signal a bigger push into domain-specific AI for personal finance.]]></description><link>https://ai-news---infofinacom-svn99g.jellypod.com/episodes/097e461e-0370-4391-829a-788613174a3a</link><guid isPermaLink="false">097e461e-0370-4391-829a-788613174a3a</guid><pubDate>Sat, 18 Apr 2026 16:24:57 GMT</pubDate><enclosure url="https://op3.dev/e,pg=e1b01d4a-9981-45b9-86d2-32b05c36193f/auth.jellypod.ai/storage/v1/object/public/Podcasts/org_01K7D6RJ4GV48WEXN5HBGM428R/097e461e-0370-4391-829a-788613174a3a/1776613674036.mp3?v=1ef2c18e-9b50-491e-b2aa-76011e63d8e1" length="0" type="audio/mpeg"/><podcast:generator uri="https://www.jellypod.com"></podcast:generator><podcast:episode>1</podcast:episode><content:encoded><![CDATA[<p>OpenAI’s acquisition of Hiro Finance comes with a rapid shutdown, permanent data deletion, and a seven-day window for users to export their information. The episode explores why Hiro’s verified financial math mattered, what Ethan Bloch’s team brings to OpenAI, and how this deal could signal a bigger push into domain-specific AI for personal finance.</p>]]></content:encoded><podcast:transcript url="https://auth.jellypod.ai/storage/v1/object/public/Podcasts/097e461e-0370-4391-829a-788613174a3a/captions_1776613717.srt" type="application/x-subrip" language="en" rel="captions"></podcast:transcript><itunes:author>Markus Koeberle</itunes:author><itunes:subtitle>OpenAI’s acquisition of Hiro Finance comes with a rapid shutdown, permanent data deletion, and a seven-day window for users to export their information. The episode explores why Hiro’s verified financial math mattered, what Ethan Bloch’s team brings to Op</itunes:subtitle><itunes:summary>OpenAI’s acquisition of Hiro Finance comes with a rapid shutdown, permanent data deletion, and a seven-day window for users to export their information. The episode explores why Hiro’s verified financial math mattered, what Ethan Bloch’s team brings to OpenAI, and how this deal could signal a bigger push into domain-specific AI for personal finance.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:image href="https://auth.jellypod.ai/storage/v1/object/public/CoverImages/org_01K7D6RJ4GV48WEXN5HBGM428R/image-1776502326544.jpeg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>