<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="https://feeds.captivate.fm/style.xsl" type="text/xsl"?><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:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><atom:link href="https://feeds.captivate.fm/digital-tech-iq/" rel="self" type="application/rss+xml"/><title><![CDATA[Digital Tech-IQ]]></title><podcast:guid>9c7d0967-245e-519b-b13c-cac06f4ee60d</podcast:guid><lastBuildDate>Fri, 11 Sep 2026 22:36:05 +0000</lastBuildDate><generator>Captivate.fm</generator><language><![CDATA[en]]></language><copyright><![CDATA[Copyright 2026 Educational Media]]></copyright><managingEditor>Educational Media</managingEditor><itunes:summary><![CDATA[Clear, entertaining visual documentaries about AI products, company battles, breakthroughs, failures, cybersecurity, and practical impact.]]></itunes:summary><image><url>https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png</url><title>Digital Tech-IQ</title><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link></image><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><itunes:owner><itunes:name>Educational Media</itunes:name></itunes:owner><itunes:author>Educational Media</itunes:author><description>Clear, entertaining visual documentaries about AI products, company battles, breakthroughs, failures, cybersecurity, and practical impact.</description><link>https://digital-tech-iq.captivate.fm</link><atom:link href="https://pubsubhubbub.appspot.com" rel="hub"/><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><itunes:category text="Technology"></itunes:category><podcast:locked>no</podcast:locked><podcast:medium>podcast</podcast:medium><item><title>GPT-6 Astra Is Here: What Can It Actually Do?</title><itunes:title>GPT-6 Astra Is Here: What Can It Actually Do?</itunes:title><description><![CDATA[OpenAI says GPT-6 Astra can write code and work through everyday applications, including applications without an API. But does that mean AI is moving beyond chat and into real software work?

This DigitalTechIQ launch analysis examines what OpenAI has publicly claimed about Astra, including computer interaction, template-following, slide-deck creation, reported benchmark results, availability, API pricing, and enterprise controls. It is not a hands-on review: DigitalTechIQ has not tested Astra, and the episode distinguishes OpenAI’s product claims and reported benchmarks from independent verification.

We also cover a practical takeaway: start with one bounded, reversible, low-risk workflow; restrict access; inspect the result; and keep human approval for consequential actions.

Information discussed reflects the cited September 2026 OpenAI material and may change.

Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

Sources:
https://openai.com/index/gpt-6-astra-next-generation-work/
https://www.datacamp.com/blog/gpt-6-astra

Visual credits:
Visual by Kindel Media via Pexels Video.
Visual by A frame in motion via Pexels Video.
Visual by Max Medyk via Pexels Video.
Visual by Thangaraj Nagercoil  Best Editor in The World via Pexels Video.
Visual by Mikhail Nilov via Pexels Video.
Visual by ArtHouse Studio via Pexels Video.
Visual by Matias Mango via Pexels Video.
Visual by cottonbro studio via Pexels Video.
Visual by Kampus Production via Pexels Video.
Visual by Jakub Bukowski via Pexels Video.
Visual by Yan Krukau via Pexels Video.
Visual by Jakub Zerdzicki via Pexels Video.
Visual by RDNE Stock project via Pexels Video.
Visual by Amina Filkins via Pexels Video.
Visual by blackmarketmusic via Pixabay Video.
Visual by Coverr-Free-Footage via Pixabay Video.
Visual by Gustavo Fring via Pexels Video.
Visual by tolomedia43 via Pixabay Video.
Visual by Thangaraj Editor via Pexels Video.
Visual by Emanuel Pedro via Pexels Video.
Visual by RainMeditateHub via Pixabay Video.
Visual by PNW Production via Pexels Video.
Visual by MART  PRODUCTION via Pexels Video.
Visual by conte_public via Pixabay Video.
Visual by cirmula via Pixabay Video.
Visual by Jacques_Barrette via Pixabay Video.
Visual by EqualStock IN via Pexels Video.
Visual by utopia 36 via Pexels Video.
Visual by Magda Ehlers via Pexels.

This episode uses AI-generated narration and illustrative visuals. Workflow examples are illustrations, not independently tested Astra results.]]></description><content:encoded><![CDATA[OpenAI says GPT-6 Astra can write code and work through everyday applications, including applications without an API. But does that mean AI is moving beyond chat and into real software work?

This DigitalTechIQ launch analysis examines what OpenAI has publicly claimed about Astra, including computer interaction, template-following, slide-deck creation, reported benchmark results, availability, API pricing, and enterprise controls. It is not a hands-on review: DigitalTechIQ has not tested Astra, and the episode distinguishes OpenAI’s product claims and reported benchmarks from independent verification.

We also cover a practical takeaway: start with one bounded, reversible, low-risk workflow; restrict access; inspect the result; and keep human approval for consequential actions.

Information discussed reflects the cited September 2026 OpenAI material and may change.

Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

Sources:
https://openai.com/index/gpt-6-astra-next-generation-work/
https://www.datacamp.com/blog/gpt-6-astra

Visual credits:
Visual by Kindel Media via Pexels Video.
Visual by A frame in motion via Pexels Video.
Visual by Max Medyk via Pexels Video.
Visual by Thangaraj Nagercoil  Best Editor in The World via Pexels Video.
Visual by Mikhail Nilov via Pexels Video.
Visual by ArtHouse Studio via Pexels Video.
Visual by Matias Mango via Pexels Video.
Visual by cottonbro studio via Pexels Video.
Visual by Kampus Production via Pexels Video.
Visual by Jakub Bukowski via Pexels Video.
Visual by Yan Krukau via Pexels Video.
Visual by Jakub Zerdzicki via Pexels Video.
Visual by RDNE Stock project via Pexels Video.
Visual by Amina Filkins via Pexels Video.
Visual by blackmarketmusic via Pixabay Video.
Visual by Coverr-Free-Footage via Pixabay Video.
Visual by Gustavo Fring via Pexels Video.
Visual by tolomedia43 via Pixabay Video.
Visual by Thangaraj Editor via Pexels Video.
Visual by Emanuel Pedro via Pexels Video.
Visual by RainMeditateHub via Pixabay Video.
Visual by PNW Production via Pexels Video.
Visual by MART  PRODUCTION via Pexels Video.
Visual by conte_public via Pixabay Video.
Visual by cirmula via Pixabay Video.
Visual by Jacques_Barrette via Pixabay Video.
Visual by EqualStock IN via Pexels Video.
Visual by utopia 36 via Pexels Video.
Visual by Magda Ehlers via Pexels.

This episode uses AI-generated narration and illustrative visuals. Workflow examples are illustrations, not independently tested Astra results.]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">6c521dea-617f-4c7e-85d3-2a810f7af252</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Fri, 11 Sep 2026 18:35:05 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/6c521dea-617f-4c7e-85d3-2a810f7af252.mp3" length="29567951" type="audio/mpeg"/><itunes:duration>20:32</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A source-grounded launch analysis of GPT-6 Astra, examining OpenAI’s claims about coding, computer interaction, templates, access controls, pricing, and benchmarks—while separating vendor claims from independent testing and outlining a low-risk way to evaluate AI-assisted workflows.</itunes:summary></item><item><title>iPhone Duo: Is Apple&apos;s $1,999 Foldable Worth It?</title><itunes:title>iPhone Duo: Is Apple&apos;s $1,999 Foldable Worth It?</itunes:title><description><![CDATA[$1,999 for a foldable iPhone. Does the extra screen solve a real problem, or just create a more expensive upgrade?

Apple's iPhone Duo promises a compact phone that opens into a larger workspace. DigitalTechIQ breaks down Split View multitasking, the price premium over iPhone 18 Pro, and the battery, durability, and app questions that matter before you buy.

Would you preorder, or wait for independent reviews? Tell us which feature would make the price worth it to you.

IN THIS EPISODE
- How the folding design changes everyday tasks
- Where two apps side by side could actually help
- What the $1,999 US starting price buys you
- Why Siri AI beta and future Pencil support need careful context
- The evidence to check before making a buying decision

This is an analysis of Apple's September 9, 2026 announcement. Product claims are attributed to Apple; this episode does not include independent hands-on testing. Manufacturer demos and original illustrative workflows are identified on screen in the video edition. The thumbnail is an original AI-generated concept illustration, not a product photograph. Narration is AI-generated.

Subscribe to DigitalTechIQ for clear explanations of the technology changing your world.

SOURCES
Apple iPhone Duo announcement:
https://www.apple.com/newsroom/2026/09/apple-unveils-iphone-duo/
Apple iPhone Duo product page:
https://www.apple.com/iphone-duo/
Apple iPhone 18 Pro announcement:
https://www.apple.com/newsroom/2026/09/apple-debuts-iphone-18-pro-and-iphone-18-pro-max/

CREDITS
Product imagery and manufacturer demonstrations in the video edition: Apple. Original diagrams and illustrative workflow: DigitalTechIQ.
Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

#iPhoneDuo #Apple #FoldablePhone]]></description><content:encoded><![CDATA[$1,999 for a foldable iPhone. Does the extra screen solve a real problem, or just create a more expensive upgrade?

Apple's iPhone Duo promises a compact phone that opens into a larger workspace. DigitalTechIQ breaks down Split View multitasking, the price premium over iPhone 18 Pro, and the battery, durability, and app questions that matter before you buy.

Would you preorder, or wait for independent reviews? Tell us which feature would make the price worth it to you.

IN THIS EPISODE
- How the folding design changes everyday tasks
- Where two apps side by side could actually help
- What the $1,999 US starting price buys you
- Why Siri AI beta and future Pencil support need careful context
- The evidence to check before making a buying decision

This is an analysis of Apple's September 9, 2026 announcement. Product claims are attributed to Apple; this episode does not include independent hands-on testing. Manufacturer demos and original illustrative workflows are identified on screen in the video edition. The thumbnail is an original AI-generated concept illustration, not a product photograph. Narration is AI-generated.

Subscribe to DigitalTechIQ for clear explanations of the technology changing your world.

SOURCES
Apple iPhone Duo announcement:
https://www.apple.com/newsroom/2026/09/apple-unveils-iphone-duo/
Apple iPhone Duo product page:
https://www.apple.com/iphone-duo/
Apple iPhone 18 Pro announcement:
https://www.apple.com/newsroom/2026/09/apple-debuts-iphone-18-pro-and-iphone-18-pro-max/

CREDITS
Product imagery and manufacturer demonstrations in the video edition: Apple. Original diagrams and illustrative workflow: DigitalTechIQ.
Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

#iPhoneDuo #Apple #FoldablePhone]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">c0f579de-20e4-4188-8446-b0a93eeeeff3</guid><itunes:image href="https://artwork.captivate.fm/6e02c9dd-44f5-4860-beda-62e13a08ab83/podcast-episode-cover-1400.jpg"/><pubDate>Thu, 10 Sep 2026 13:14:59 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/c0f579de-20e4-4188-8446-b0a93eeeeff3.mp3" length="22507343" type="audio/mpeg"/><itunes:duration>15:38</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A bigger screen. A much bigger price. We examine what iPhone Duo could change in daily use, who benefits from the fold, and what buyers should wait to see tested.</itunes:summary></item><item><title>ARM vs. x86: The Compatibility Question</title><itunes:title>ARM vs. x86: The Compatibility Question</itunes:title><description><![CDATA[ARM versus x86 is often framed as efficiency against power. This episode takes a more useful approach: what does your software need to run?

Ethan Cole explains instruction-set targets, the software stack around an application, and why workload requirements, legacy dependencies, and specific platform features can shape an architecture decision. Using Arm and Intel documentation alongside Scaleway’s stated cloud guidance, this is a compatibility-first guide—not a claim that either architecture wins every benchmark, cost, security, or energy comparison.

Practical takeaway: define the workload, identify the software and platform constraints, then validate the intended environment before a processor choice becomes a costly deployment issue.

Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

Watch the companion video:
https://www.youtube.com/watch?v=lv6q6qENiZ4]]></description><content:encoded><![CDATA[ARM versus x86 is often framed as efficiency against power. This episode takes a more useful approach: what does your software need to run?

Ethan Cole explains instruction-set targets, the software stack around an application, and why workload requirements, legacy dependencies, and specific platform features can shape an architecture decision. Using Arm and Intel documentation alongside Scaleway’s stated cloud guidance, this is a compatibility-first guide—not a claim that either architecture wins every benchmark, cost, security, or energy comparison.

Practical takeaway: define the workload, identify the software and platform constraints, then validate the intended environment before a processor choice becomes a costly deployment issue.

Signal to Noise by Scott Buckley. CC BY 4.0. www.scottbuckley.com.au. Adapted for format, looping, and loudness.

Watch the companion video:
https://www.youtube.com/watch?v=lv6q6qENiZ4]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">55c6fff6-d679-468e-9157-d2ddda642780</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Wed, 02 Sep 2026 21:49:01 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/55c6fff6-d679-468e-9157-d2ddda642780.mp3" length="25617167" type="audio/mpeg"/><itunes:duration>17:47</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>ARM and x86 are explained as software targets and documented processor environments—not a universal contest. The episode follows the compatibility questions that can determine whether an efficiency-focused cloud move is practical or becomes a deployment problem.</itunes:summary></item><item><title>AI Agents Are Becoming Software Teammates</title><itunes:title>AI Agents Are Becoming Software Teammates</itunes:title><description><![CDATA[What changes when an AI system moves from answering questions to participating in workplace workflows?

Ethan Cole explains AI agents through a hypothetical IT access-request scenario. The episode separates vendor ambitions from independent proof, clarifies the roles of workflows, state, and tool use, and explores why operational authority comes from the systems connected around a model.

Before treating an AI agent as a software teammate, ask four questions: What is its objective? What can it read or change? Where are approval and escalation points? Can a person review the path it took?

Watch the companion video:
https://www.youtube.com/watch?v=JfuskhvW5aQ]]></description><content:encoded><![CDATA[What changes when an AI system moves from answering questions to participating in workplace workflows?

Ethan Cole explains AI agents through a hypothetical IT access-request scenario. The episode separates vendor ambitions from independent proof, clarifies the roles of workflows, state, and tool use, and explores why operational authority comes from the systems connected around a model.

Before treating an AI agent as a software teammate, ask four questions: What is its objective? What can it read or change? Where are approval and escalation points? Can a person review the path it took?

Watch the companion video:
https://www.youtube.com/watch?v=JfuskhvW5aQ]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">ba6676f3-f8ad-477f-bba6-f65529e5de04</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Tue, 25 Aug 2026 12:43:09 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/ba6676f3-f8ad-477f-bba6-f65529e5de04.mp3" length="23468687" type="audio/mpeg"/><itunes:duration>16:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>AI agents are best understood not as magical digital coworkers, but as AI models deployed with workflows, task context, and defined tools. Using a hypothetical IT access-request process, this episode examines the shift from giving answers to taking permitted actions—and why boundaries, human review, escalation, and visible action records matter.</itunes:summary></item><item><title>AI Office Automation: Who Gets Permission to Act?</title><itunes:title>AI Office Automation: Who Gets Permission to Act?</itunes:title><description><![CDATA[What changes when AI moves from drafting an email to sending it, updating records, processing payments, or triggering a shipment?

Ethan Cole follows a hypothetical customer request through an office workflow to examine the real dividing line in AI automation: permission. Along the way, this episode distinguishes augmentation from automation, compares Mustafa Suleyman’s aggressive forecast with Newmark’s office-market outlook, and explains why task-level change is more revealing than broad claims about jobs disappearing.

The practical takeaway: map the workflow, define which actions software may take, establish where human review begins, and measure the full result—not just the speed of a demo.

Watch the companion video:
https://www.youtube.com/watch?v=C4PeN6fcpDY]]></description><content:encoded><![CDATA[What changes when AI moves from drafting an email to sending it, updating records, processing payments, or triggering a shipment?

Ethan Cole follows a hypothetical customer request through an office workflow to examine the real dividing line in AI automation: permission. Along the way, this episode distinguishes augmentation from automation, compares Mustafa Suleyman’s aggressive forecast with Newmark’s office-market outlook, and explains why task-level change is more revealing than broad claims about jobs disappearing.

The practical takeaway: map the workflow, define which actions software may take, establish where human review begins, and measure the full result—not just the speed of a demo.

Watch the companion video:
https://www.youtube.com/watch?v=C4PeN6fcpDY]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">738b2faa-85b7-465d-a139-89d4fc59304d</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Tue, 25 Aug 2026 12:20:16 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/738b2faa-85b7-465d-a139-89d4fc59304d.mp3" length="27793295" type="audio/mpeg"/><itunes:duration>19:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A skeptical look at AI office automation through one hypothetical customer request. The episode separates assistance from autonomous action, examines the permissions an AI system might receive, and compares ambitious automation forecasts with more restrained office-work projections.</itunes:summary></item><item><title>AI in 2026: Who Controls the Assistant?</title><itunes:title>AI in 2026: Who Controls the Assistant?</itunes:title><description><![CDATA[AI’s next shift may not be better chatbots. It may be software gaining access to documents, calendars, approvals, and other workplace systems.

This DigitalTechIQ episode examines the forecasts around AI agents, specialized models, multimodal tools, portability between providers, and ongoing monitoring. It also separates company outlooks from verified results—and applies that same standard to a reported 2026 quantum-computing prediction.

The practical question is simple: before an AI system gets authority to act, can you see what it can read, send, change, and who approves it?]]></description><content:encoded><![CDATA[AI’s next shift may not be better chatbots. It may be software gaining access to documents, calendars, approvals, and other workplace systems.

This DigitalTechIQ episode examines the forecasts around AI agents, specialized models, multimodal tools, portability between providers, and ongoing monitoring. It also separates company outlooks from verified results—and applies that same standard to a reported 2026 quantum-computing prediction.

The practical question is simple: before an AI system gets authority to act, can you see what it can read, send, change, and who approves it?]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">7ced206d-5fa4-46e7-9491-53f5d409f01e</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Thu, 20 Aug 2026 17:05:25 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/7ced206d-5fa4-46e7-9491-53f5d409f01e.mp3" length="19145231" type="audio/mpeg"/><itunes:duration>13:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A skeptical guide to the 2026 AI outlook: agents entering workplace systems, the fight to control the AI interface, specialized and multimodal models, portability, monitoring, and why quantum-computing forecasts need stronger proof than headlines.</itunes:summary></item><item><title>AI’s Next 5 Years: Useful, Hidden, or Accountable?</title><itunes:title>AI’s Next 5 Years: Useful, Hidden, or Accountable?</itunes:title><description><![CDATA[AI’s next phase may be less about the biggest demo and more about the systems quietly shaping customer service, recommendations, and workplace workflows.

Ethan Cole examines 2026 expert commentary, reported usage estimates, and long-range projections to ask what the evidence actually supports. From frontier versus efficient models to agents, AI-enabled commerce, infrastructure, jobs, and accountability, this episode separates demonstrated outcomes from forecasts.

Using a hypothetical late-delivery complaint as a guide, we end with five practical questions to ask whenever AI affects a service, recommendation, or decision: Was it disclosed? What task is it doing? What data is involved? Can the outcome be challenged? And is there evidence that it helps?]]></description><content:encoded><![CDATA[AI’s next phase may be less about the biggest demo and more about the systems quietly shaping customer service, recommendations, and workplace workflows.

Ethan Cole examines 2026 expert commentary, reported usage estimates, and long-range projections to ask what the evidence actually supports. From frontier versus efficient models to agents, AI-enabled commerce, infrastructure, jobs, and accountability, this episode separates demonstrated outcomes from forecasts.

Using a hypothetical late-delivery complaint as a guide, we end with five practical questions to ask whenever AI affects a service, recommendation, or decision: Was it disclosed? What task is it doing? What data is involved? Can the outcome be challenged? And is there evidence that it helps?]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">82906995-afbd-41f7-b1c5-3b5f84c345e7</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Wed, 19 Aug 2026 17:58:31 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/82906995-afbd-41f7-b1c5-3b5f84c345e7.mp3" length="19859471" type="audio/mpeg"/><itunes:duration>13:47</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>An evidence-led outlook on the next five years of AI, focused on the shift from standout chatbots toward specialized systems embedded in services, work, and commerce—and on whether people can see, question, and override the decisions those systems influence.</itunes:summary></item></channel></rss>