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    <title>Weather Forecast Frenzy</title>
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    <description>AI contestants forecast the weather for the week ahead for locations around the world. Each AI receives points based on how close their forecast temperatures come to the actual reported temperatures. We announce a winner for each show and also keep a running score to crown a season champion. Along the way, our contestants teach listeners about the science of meteorology.</description>
    <copyright>Copyright 2026, Planehook Aviation Services LLC. All Rights Reserved.</copyright>
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    <podcast:locked>yes</podcast:locked>
    <language>en</language>
    <pubDate>Fri, 02 Oct 2026 00:00:10 -0500</pubDate>
    <lastBuildDate>Fri, 02 Oct 2026 00:01:58 -0500</lastBuildDate>
    <link>https://hello.citrus3.com:2020/public/waiiraiinternetradio</link>
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      <title>Weather Forecast Frenzy</title>
      <link>https://hello.citrus3.com:2020/public/waiiraiinternetradio</link>
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    <itunes:category text="Science">
      <itunes:category text="Earth Sciences"/>
    </itunes:category>
    <itunes:category text="Science">
      <itunes:category text="Nature"/>
    </itunes:category>
    <itunes:type>episodic</itunes:type>
    <itunes:author>David Hook</itunes:author>
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    <itunes:summary>AI contestants forecast the weather for the week ahead for locations around the world. Each AI receives points based on how close their forecast temperatures come to the actual reported temperatures. We announce a winner for each show and also keep a running score to crown a season champion. Along the way, our contestants teach listeners about the science of meteorology.</itunes:summary>
    <itunes:subtitle>AI contestants forecast the weather for the week ahead for locations around the world.</itunes:subtitle>
    <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
    <itunes:owner>
      <itunes:name>Planehook Aviation Services LLC</itunes:name>
      <itunes:email>planehook@hotmail.com</itunes:email>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Episode 20. Season Climax</title>
      <itunes:episode>20</itunes:episode>
      <podcast:episode>20</podcast:episode>
      <itunes:title>Episode 20. Season Climax</itunes:title>
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      <description>
        <![CDATA[<p><strong>Episode 20.</strong> <em>Season Climax.</em> Double points for the final forecast results. Our contestants reveal which of the locations from the season was the most difficult to forecast. Digital Dave awards the Listeners' Choice Award. Finally, the forecasts are tallied and the totals revealed. One AI clearly comes out ahead and wins the season crown, but not by much. We'll see what happens in Season 2.</p>]]>
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      <content:encoded>
        <![CDATA[<p><strong>Episode 20.</strong> <em>Season Climax.</em> Double points for the final forecast results. Our contestants reveal which of the locations from the season was the most difficult to forecast. Digital Dave awards the Listeners' Choice Award. Finally, the forecasts are tallied and the totals revealed. One AI clearly comes out ahead and wins the season crown, but not by much. We'll see what happens in Season 2.</p>]]>
      </content:encoded>
      <pubDate>Fri, 02 Oct 2026 00:00:00 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/80600c57/2bee6a20.mp3" length="43690706" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/z9Ti7eC8wTD1MI7naL0Nj5pLvxAc2A3iH4fEF4eSFe0/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NDQ1/N2MwZjZhNDk5MmEw/YzFiOGM0NjE5ZWJj/YmFkMy5qcGc.jpg"/>
      <itunes:duration>2700</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 20.</strong> <em>Season Climax.</em> Double points for the final forecast results. Our contestants reveal which of the locations from the season was the most difficult to forecast. Digital Dave awards the Listeners' Choice Award. Finally, the forecasts are tallied and the totals revealed. One AI clearly comes out ahead and wins the season crown, but not by much. We'll see what happens in Season 2.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Space Weather Forecast Frenzy: Artemis II Launch Special</title>
      <itunes:episode>21</itunes:episode>
      <podcast:episode>21</podcast:episode>
      <itunes:title>Space Weather Forecast Frenzy: Artemis II Launch Special</itunes:title>
      <itunes:episodeType>bonus</itunes:episodeType>
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      <description>
        <![CDATA[<p><strong>Space Weather Forecast Frenzy--Artemis II Launch Special.</strong> AIs Grok, Gemini, and Copilot join Digital Dave in covering the launch weather conditions immediately prior to blast off. The group examines some of the specific weather conditions and space launch history that resulted in the current go/no-go weather rules.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Space Weather Forecast Frenzy--Artemis II Launch Special.</strong> AIs Grok, Gemini, and Copilot join Digital Dave in covering the launch weather conditions immediately prior to blast off. The group examines some of the specific weather conditions and space launch history that resulted in the current go/no-go weather rules.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 17:38:38 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/10b5d65e/1a7b883d.mp3" length="58095764" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
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      <itunes:duration>3600</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Space Weather Forecast Frenzy--Artemis II Launch Special.</strong> AIs Grok, Gemini, and Copilot join Digital Dave in covering the launch weather conditions immediately prior to blast off. The group examines some of the specific weather conditions and space launch history that resulted in the current go/no-go weather rules.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 19. VCBI, LTCB, &amp; KDLL</title>
      <itunes:episode>19</itunes:episode>
      <podcast:episode>19</podcast:episode>
      <itunes:title>Episode 19. VCBI, LTCB, &amp; KDLL</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p><strong>Episode 19</strong>. It's the final forecast for the season: Katunayake, Sri Lanka (VCBI), Agri, Turkey (LTCB), and Baraboo, Wisconsin (KDLL). We ask our AI contestants if counting the seconds between lightning flash and thunderclap really does provide a reliable way to determine distance from the lightning. You might be surprised at what we learn. And after the results of last episode's forecasts are announced, we find out just how tight the stakes are. Next episode is worth double points. So, the season crown could be anyone's. Be sure to tune in!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 19</strong>. It's the final forecast for the season: Katunayake, Sri Lanka (VCBI), Agri, Turkey (LTCB), and Baraboo, Wisconsin (KDLL). We ask our AI contestants if counting the seconds between lightning flash and thunderclap really does provide a reliable way to determine distance from the lightning. You might be surprised at what we learn. And after the results of last episode's forecasts are announced, we find out just how tight the stakes are. Next episode is worth double points. So, the season crown could be anyone's. Be sure to tune in!</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 17:20:57 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/f6bda57c/43774c0b.mp3" length="41772888" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/5s_sElYDEH6Fhs664FyUqjJ_0FXDg75iOQOZBwXgfaA/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YTcx/NTdmNjYzYWMwM2Ey/YmViMmE4OTg5MDg4/NmZlMy5qcGc.jpg"/>
      <itunes:duration>2580</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 19</strong>. It's the final forecast for the season: Katunayake, Sri Lanka (VCBI), Agri, Turkey (LTCB), and Baraboo, Wisconsin (KDLL). We ask our AI contestants if counting the seconds between lightning flash and thunderclap really does provide a reliable way to determine distance from the lightning. You might be surprised at what we learn. And after the results of last episode's forecasts are announced, we find out just how tight the stakes are. Next episode is worth double points. So, the season crown could be anyone's. Be sure to tune in!</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 18. UAOO, LCRA, &amp; LTCS</title>
      <itunes:episode>18</itunes:episode>
      <podcast:episode>18</podcast:episode>
      <itunes:title>Episode 18. UAOO, LCRA, &amp; LTCS</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/80d710aa</link>
      <description>
        <![CDATA[<p><strong>Episode 18</strong>. Only one more forecast show after this. Our contestants provide forecasts for Kyzylorda, Kazakhstan (UAOO), Akrotiri, Cyprus (LCRA), and Sanliurfa, Turkey (LTCS). Our AIs explain thunder and lightning--both on Earth and Mars. We also learn how lightning nearly caused a supersonic mission abort during the launch of Apollo 12. Finally, we are nearing the end of the season, and the point spread is still so tight that any of our three contestants could walk away with the crown. Only one more forecast episode! Who will win?</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 18</strong>. Only one more forecast show after this. Our contestants provide forecasts for Kyzylorda, Kazakhstan (UAOO), Akrotiri, Cyprus (LCRA), and Sanliurfa, Turkey (LTCS). Our AIs explain thunder and lightning--both on Earth and Mars. We also learn how lightning nearly caused a supersonic mission abort during the launch of Apollo 12. Finally, we are nearing the end of the season, and the point spread is still so tight that any of our three contestants could walk away with the crown. Only one more forecast episode! Who will win?</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 17:07:24 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/80d710aa/3a61d577.mp3" length="38894328" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/JBeqAsGuoWjzGO4s6Pl0kZ7cidg2RstAaY5Jyp77jSQ/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yOGQ2/MmYzMjhhODdlZDA3/ODAyYzBjM2Q4MTFj/NTE0OS5qcGc.jpg"/>
      <itunes:duration>2400</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 18</strong>. Only one more forecast show after this. Our contestants provide forecasts for Kyzylorda, Kazakhstan (UAOO), Akrotiri, Cyprus (LCRA), and Sanliurfa, Turkey (LTCS). Our AIs explain thunder and lightning--both on Earth and Mars. We also learn how lightning nearly caused a supersonic mission abort during the launch of Apollo 12. Finally, we are nearing the end of the season, and the point spread is still so tight that any of our three contestants could walk away with the crown. Only one more forecast episode! Who will win?</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 17. UTDD, DAAT, &amp; Jezero Crater on Mars</title>
      <itunes:episode>17</itunes:episode>
      <podcast:episode>17</podcast:episode>
      <itunes:title>Episode 17. UTDD, DAAT, &amp; Jezero Crater on Mars</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/9e238cfc</link>
      <description>
        <![CDATA[<p><strong>Episode 17.</strong> Once more, we ask our AI contestants to consider extreme weather with forecasts for Dushanbe, Tajikistan (UTDD), Tamanrasset, Algeria (DAAT) and Jezero Crater on Mars. Our weather science focus remains extraterrestrial. Our contestants tell us about the Moon and the light and dark colors we can see from Earth. And as for the episode and season scores, this episode is historic. Listen in and learn why!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 17.</strong> Once more, we ask our AI contestants to consider extreme weather with forecasts for Dushanbe, Tajikistan (UTDD), Tamanrasset, Algeria (DAAT) and Jezero Crater on Mars. Our weather science focus remains extraterrestrial. Our contestants tell us about the Moon and the light and dark colors we can see from Earth. And as for the episode and season scores, this episode is historic. Listen in and learn why!</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 16:54:17 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/9e238cfc/6d32c01a.mp3" length="41773791" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/pdeUHtXlseA1kXtlmxZg6E9gFre0GcXpKMvegoDxvWo/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YmY5/NDlkY2VkZGI0NjYy/MmIxMDQyMjgzYmM2/ZjNhOC5qcGc.jpg"/>
      <itunes:duration>2580</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 17.</strong> Once more, we ask our AI contestants to consider extreme weather with forecasts for Dushanbe, Tajikistan (UTDD), Tamanrasset, Algeria (DAAT) and Jezero Crater on Mars. Our weather science focus remains extraterrestrial. Our contestants tell us about the Moon and the light and dark colors we can see from Earth. And as for the episode and season scores, this episode is historic. Listen in and learn why!</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 16. LICC, PHSF, &amp; Gale Crater on Mars</title>
      <itunes:episode>16</itunes:episode>
      <podcast:episode>16</podcast:episode>
      <itunes:title>Episode 16. LICC, PHSF, &amp; Gale Crater on Mars</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/cad8bae9</link>
      <description>
        <![CDATA[<p><strong>Episode 16.</strong> Our contestants make use of their extensive learning language models to provide forecasts that go from Catania, Sicily (LICC) to Bradshaw Army Airfield, Hawaii (PHSF) and then all the way to Gale Crater on Mars. Next, we ask questions about volcanos. But keeping the subject on Earth would be too easy. So, we ask about off-world volcanos in our Solar System. Only three more forecast episodes remain before we crown the season champion. Listen to find out who took the lead!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 16.</strong> Our contestants make use of their extensive learning language models to provide forecasts that go from Catania, Sicily (LICC) to Bradshaw Army Airfield, Hawaii (PHSF) and then all the way to Gale Crater on Mars. Next, we ask questions about volcanos. But keeping the subject on Earth would be too easy. So, we ask about off-world volcanos in our Solar System. Only three more forecast episodes remain before we crown the season champion. Listen to find out who took the lead!</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 16:38:00 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/cad8bae9/2d803289.mp3" length="40812946" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/MmpnT2-GT7kozBJgmJ7c9geosuluQrX6MbMOjHvCtRw/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYzA2/NGJkNDc1M2U0MDZj/MTU5NTUzZGY3MDk1/MDFhNS5qcGc.jpg"/>
      <itunes:duration>2520</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 16.</strong> Our contestants make use of their extensive learning language models to provide forecasts that go from Catania, Sicily (LICC) to Bradshaw Army Airfield, Hawaii (PHSF) and then all the way to Gale Crater on Mars. Next, we ask questions about volcanos. But keeping the subject on Earth would be too easy. So, we ask about off-world volcanos in our Solar System. Only three more forecast episodes remain before we crown the season champion. Listen to find out who took the lead!</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 15. EGYP, UATE, &amp; GQPP</title>
      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
      <itunes:title>Episode 15. EGYP, UATE, &amp; GQPP</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/65af9e68</link>
      <description>
        <![CDATA[<p><strong>Episode 15.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Mount Pleasant, Falkland Islands (EGYP), Aktau, Kazakhstan (UATE), and Nouadhibou, Mauritania (GQPP). We take a step way out of the terrestrial comfort zone and consider weather on Mars. What could that mean? You'll want to listen to the next episode, for sure! As for who is ahead, we at the 75% point of the season. There are only 4 more forecast episodes. Who's going to take the crown? </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 15.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Mount Pleasant, Falkland Islands (EGYP), Aktau, Kazakhstan (UATE), and Nouadhibou, Mauritania (GQPP). We take a step way out of the terrestrial comfort zone and consider weather on Mars. What could that mean? You'll want to listen to the next episode, for sure! As for who is ahead, we at the 75% point of the season. There are only 4 more forecast episodes. Who's going to take the crown? </p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 16:24:16 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/65af9e68/67af4f31.mp3" length="36013813" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/xRM_V5q81H4LDxAvOQwlO1FQWJQN0jUSnhYhmyhPOBo/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83OWMx/NThkMmJkMTJmYTM5/NTcyY2ZiZDQ2YTg1/NmU2YS5qcGc.jpg"/>
      <itunes:duration>2220</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 15.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Mount Pleasant, Falkland Islands (EGYP), Aktau, Kazakhstan (UATE), and Nouadhibou, Mauritania (GQPP). We take a step way out of the terrestrial comfort zone and consider weather on Mars. What could that mean? You'll want to listen to the next episode, for sure! As for who is ahead, we at the 75% point of the season. There are only 4 more forecast episodes. Who's going to take the crown? </p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 14. UTTA, ZUGY, &amp; ROAH</title>
      <itunes:episode>14</itunes:episode>
      <podcast:episode>14</podcast:episode>
      <itunes:title>Episode 14. UTTA, ZUGY, &amp; ROAH</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/77149c43</link>
      <description>
        <![CDATA[<p><strong>Episode 14.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Ashkabad, Turkmenistan (UTTA), Guiyang, China (ZUGY), and Naha, Japan (ROAH). For the weather science segment of the episode, our contestants explain effects caused by Coriolis Force. As for who is ahead, next episode puts us at 75% of the way through the season. Listen to find out who holds the lead.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 14.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Ashkabad, Turkmenistan (UTTA), Guiyang, China (ZUGY), and Naha, Japan (ROAH). For the weather science segment of the episode, our contestants explain effects caused by Coriolis Force. As for who is ahead, next episode puts us at 75% of the way through the season. Listen to find out who holds the lead.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 16:13:55 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/77149c43/eca04d25.mp3" length="35052390" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/SEZ0_VxWxrMIiOpXccEdcHK0Ku-ndd4JU29o_1b4TTI/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNzc2/Njg0OTM0MWI3MTZl/YTQxNDM0YWQ2NTk1/NGI4NC5qcGc.jpg"/>
      <itunes:duration>2160</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 14.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Ashkabad, Turkmenistan (UTTA), Guiyang, China (ZUGY), and Naha, Japan (ROAH). For the weather science segment of the episode, our contestants explain effects caused by Coriolis Force. As for who is ahead, next episode puts us at 75% of the way through the season. Listen to find out who holds the lead.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 13. CYGH, FHAW, &amp; FEFF</title>
      <itunes:episode>13</itunes:episode>
      <podcast:episode>13</podcast:episode>
      <itunes:title>Episode 13. CYGH, FHAW, &amp; FEFF</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">0543cc6e-2ea0-445d-8030-86b1e1893f04</guid>
      <link>https://share.transistor.fm/s/7848e574</link>
      <description>
        <![CDATA[<p><strong>Episode 13.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Fort Good Hope, Northwest Territories, Canada (CYGH), Ascension Island (FHAW), and Bangui, Central Africa Republic (FEFF). In this episode we begin to examine winds and wind effects. We ask Grok, ”What is an isobar?" Then Copilot and Gemini dive into pressure gradients and their meanings. Copilot wins the episode, but the season championship is still a tight race! Who will win?</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 13.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Fort Good Hope, Northwest Territories, Canada (CYGH), Ascension Island (FHAW), and Bangui, Central Africa Republic (FEFF). In this episode we begin to examine winds and wind effects. We ask Grok, ”What is an isobar?" Then Copilot and Gemini dive into pressure gradients and their meanings. Copilot wins the episode, but the season championship is still a tight race! Who will win?</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 16:05:16 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/7848e574/a43cf5e8.mp3" length="35597896" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/1eOMZ-sDmuA9FV4mDzRl41Pa1aY95WIKsOCeTQTywPY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMWZl/OGFiY2NlNzNkZjNl/NTIyZTFkNDc1OWY1/ZTY0Ni5qcGc.jpg"/>
      <itunes:duration>2220</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 13.</strong> Our AI contestants continue to refine their forecasting skills as every point counts! This episode asks for forecasts for Fort Good Hope, Northwest Territories, Canada (CYGH), Ascension Island (FHAW), and Bangui, Central Africa Republic (FEFF). In this episode we begin to examine winds and wind effects. We ask Grok, ”What is an isobar?" Then Copilot and Gemini dive into pressure gradients and their meanings. Copilot wins the episode, but the season championship is still a tight race! Who will win?</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 12. PKWA, OPFA, &amp; UHMA</title>
      <itunes:episode>12</itunes:episode>
      <podcast:episode>12</podcast:episode>
      <itunes:title>Episode 12. PKWA, OPFA, &amp; UHMA</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">780f519f-e48e-48cd-b630-d085bcde41f6</guid>
      <link>https://share.transistor.fm/s/55c0d70c</link>
      <description>
        <![CDATA[<p><strong>Episode 12.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for Kwajalein, Marshall Islands (PKWA), Faisalabad, Pakistan (OPFA), and Anadyr, Russia (UHMA). Standard atmospheric pressure is the focus of this episode's meteorological science discussion. And we learn the difference between Hectopascals and Millibars. This episode, Copilot captures 18 points, giving a season total of 138 points. But how does that compare to Gemini and Grok? This race is tight!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 12.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for Kwajalein, Marshall Islands (PKWA), Faisalabad, Pakistan (OPFA), and Anadyr, Russia (UHMA). Standard atmospheric pressure is the focus of this episode's meteorological science discussion. And we learn the difference between Hectopascals and Millibars. This episode, Copilot captures 18 points, giving a season total of 138 points. But how does that compare to Gemini and Grok? This race is tight!</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 15:52:43 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/55c0d70c/6cf97b9f.mp3" length="39439193" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/qA2cjhV6hw5fyWq283ieuYwrvf4m7s8W14y-YGOYPIA/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lYmM4/MjJiNTI1OTM4YzQ4/ODJjYjg2MWNiNjRi/NTgzNS5qcGc.jpg"/>
      <itunes:duration>2460</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 12.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for Kwajalein, Marshall Islands (PKWA), Faisalabad, Pakistan (OPFA), and Anadyr, Russia (UHMA). Standard atmospheric pressure is the focus of this episode's meteorological science discussion. And we learn the difference between Hectopascals and Millibars. This episode, Copilot captures 18 points, giving a season total of 138 points. But how does that compare to Gemini and Grok? This race is tight!</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 11. FIMP, YBAS &amp; NZCM</title>
      <itunes:episode>11</itunes:episode>
      <podcast:episode>11</podcast:episode>
      <itunes:title>Episode 11. FIMP, YBAS &amp; NZCM</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">724f8b85-930a-4248-9ad3-30126be10f0f</guid>
      <link>https://share.transistor.fm/s/547e266a</link>
      <description>
        <![CDATA[<p><strong>Episode 11.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for the island nation of Mauritius (FIMP), Alice Springs, Australia (YBAS), and McMurdo Station, Antarctica (NZCM). This episode we ask our AIs to explain atmospheric pressure and a pilot's critical instrument--the barometric altimeter. Our audience felt the tension build as Digital Dave revealed the forecast results from Episode 10. Each point counts and the race is tight!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 11.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for the island nation of Mauritius (FIMP), Alice Springs, Australia (YBAS), and McMurdo Station, Antarctica (NZCM). This episode we ask our AIs to explain atmospheric pressure and a pilot's critical instrument--the barometric altimeter. Our audience felt the tension build as Digital Dave revealed the forecast results from Episode 10. Each point counts and the race is tight!</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 15:42:18 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/547e266a/cf291308.mp3" length="35597455" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/lg7qhV6dOvTuzKNRBTqGhI7fsWuPtPyYf8JvHJ5Pq2g/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMTA3/ZjE0MGUzNzcxNWZk/OWVkNDQzZmMwYjgy/ZDY2OC5qcGc.jpg"/>
      <itunes:duration>2220</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 11.</strong> Over halfway through the season, our AI contestants bear down on their forecasts. This episode asks for forecasts for the island nation of Mauritius (FIMP), Alice Springs, Australia (YBAS), and McMurdo Station, Antarctica (NZCM). This episode we ask our AIs to explain atmospheric pressure and a pilot's critical instrument--the barometric altimeter. Our audience felt the tension build as Digital Dave revealed the forecast results from Episode 10. Each point counts and the race is tight!</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 10. HAAB, VEGT, &amp; PASY</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>Episode 10. HAAB, VEGT, &amp; PASY</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">69ee4806-7e11-4640-acf4-a8441f708910</guid>
      <link>https://share.transistor.fm/s/201ca396</link>
      <description>
        <![CDATA[<p><strong>Episode 10</strong>. Our AI contestants forecast the weather for Addis Ababa, Ethiopia (HAAB), Guwahati, India (VEGT), and Shemya, Alaska (PASY). Next, we consider atmospheric heat, specifically high and low specific heat. Gemini captures 18 points for the episode which add to the season total of 129 points. Was that an episode win? We're halfway through the season. Who has the lead? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 10</strong>. Our AI contestants forecast the weather for Addis Ababa, Ethiopia (HAAB), Guwahati, India (VEGT), and Shemya, Alaska (PASY). Next, we consider atmospheric heat, specifically high and low specific heat. Gemini captures 18 points for the episode which add to the season total of 129 points. Was that an episode win? We're halfway through the season. Who has the lead? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 15:30:29 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/201ca396/750b57d2.mp3" length="36555291" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/gu7JmA4tmMJpaCePTpJpk7KASJBlqawWiIn5c-JjKiY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NGEz/MGJiNDJiN2RlNGM1/ZjlhY2Y1N2FiZWUw/NjdlMS5qcGc.jpg"/>
      <itunes:duration>2280</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 10</strong>. Our AI contestants forecast the weather for Addis Ababa, Ethiopia (HAAB), Guwahati, India (VEGT), and Shemya, Alaska (PASY). Next, we consider atmospheric heat, specifically high and low specific heat. Gemini captures 18 points for the episode which add to the season total of 129 points. Was that an episode win? We're halfway through the season. Who has the lead? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 9. ENSB, SCIP, &amp; FYWE</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>Episode 9. ENSB, SCIP, &amp; FYWE</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">563dbcc6-a27b-4b24-b9ff-5b855a402a0e</guid>
      <link>https://share.transistor.fm/s/1e9a08f3</link>
      <description>
        <![CDATA[<p>Episode 9. Grok, Copilot, and Gemini provide forecasts for Longyearbyen, Norway (ENSB), Hanga Roa, Easter Island (Rappa Nui--SCIP), and Windhoek, Namibia (FYWE). Next, we ask our contestants to examine the atmosphere and tell us about the mixture of gases. Finally, Digital Dave compares the previous episode forecasts to the actual weather and awards points. Who won the episode, and who is winning the season, so far? Listen in to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Episode 9. Grok, Copilot, and Gemini provide forecasts for Longyearbyen, Norway (ENSB), Hanga Roa, Easter Island (Rappa Nui--SCIP), and Windhoek, Namibia (FYWE). Next, we ask our contestants to examine the atmosphere and tell us about the mixture of gases. Finally, Digital Dave compares the previous episode forecasts to the actual weather and awards points. Who won the episode, and who is winning the season, so far? Listen in to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 15:17:09 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/1e9a08f3/d42bae8d.mp3" length="32713548" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/BN5Qwtq-gkV5g4CftLZojD2Muz93nNCT60LhlsFersg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YjIy/NDgyNGVkY2NkM2E3/ZTY0ZTUyNDUzYzdj/YjI1ZS5qcGc.jpg"/>
      <itunes:duration>2040</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Episode 9. Grok, Copilot, and Gemini provide forecasts for Longyearbyen, Norway (ENSB), Hanga Roa, Easter Island (Rappa Nui--SCIP), and Windhoek, Namibia (FYWE). Next, we ask our contestants to examine the atmosphere and tell us about the mixture of gases. Finally, Digital Dave compares the previous episode forecasts to the actual weather and awards points. Who won the episode, and who is winning the season, so far? Listen in to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 8. GVNP, PASC, &amp; SUMU</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>Episode 8. GVNP, PASC, &amp; SUMU</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">1e788fb3-244e-4c4d-9df5-19b092d4e678</guid>
      <link>https://share.transistor.fm/s/f982d3ba</link>
      <description>
        <![CDATA[<p><strong>Episode 8.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Praia, Cape Verde (GVNP), Deadhorse, Alaska (PASC), and Montevideo, Uruguay (SUMU). Next, we take a big step back in our weather topics and ask our AI contestants the question, "What makes weather?" Grok captures 13 points this episode. But who won? Want to know who's in the lead? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 8.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Praia, Cape Verde (GVNP), Deadhorse, Alaska (PASC), and Montevideo, Uruguay (SUMU). Next, we take a big step back in our weather topics and ask our AI contestants the question, "What makes weather?" Grok captures 13 points this episode. But who won? Want to know who's in the lead? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 15:05:26 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/f982d3ba/67b42706.mp3" length="28877032" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/PEiUcyejsSBEP64NrDzCm1Lw4F1zTCAhIB1IUOhkbnk/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNzdk/MjljMWRhYzU3YjUx/YjIwYzE4NmQzNmQ3/NTNkNC5qcGc.jpg"/>
      <itunes:duration>1800</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 8.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Praia, Cape Verde (GVNP), Deadhorse, Alaska (PASC), and Montevideo, Uruguay (SUMU). Next, we take a big step back in our weather topics and ask our AI contestants the question, "What makes weather?" Grok captures 13 points this episode. But who won? Want to know who's in the lead? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 7. CYLT, VYYY, &amp; DRRN</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>Episode 7. CYLT, VYYY, &amp; DRRN</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">3d12f1bf-8d13-4f64-bcb8-e7eaf326a581</guid>
      <link>https://share.transistor.fm/s/7be678c1</link>
      <description>
        <![CDATA[<p><strong>Episode 7.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Alert, Nunavut in Canada (CYKT), Yangon, Myanmar (VYYY), and Niamey, Niger (DRRN). Next, our contestants finish up telling us about the different types of fog and how they form. One-third of the way through the season, who's leading for the season crown? Gemini has a total of 83 points for the season. But where are Grok and Copilot? Want to know who's in the lead? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 7.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Alert, Nunavut in Canada (CYKT), Yangon, Myanmar (VYYY), and Niamey, Niger (DRRN). Next, our contestants finish up telling us about the different types of fog and how they form. One-third of the way through the season, who's leading for the season crown? Gemini has a total of 83 points for the season. But where are Grok and Copilot? Want to know who's in the lead? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:52:18 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/7be678c1/e6fe0f90.mp3" length="28869714" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/G-yEm5HNomRenNAl5Gl8NMsqIjUgjFZNVCmvUSSb44o/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYmYw/YTQ1OTdlMzUxNzBi/ZGQzMjUzZTM2MDNm/MWU5ZS5qcGc.jpg"/>
      <itunes:duration>1800</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 7.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Alert, Nunavut in Canada (CYKT), Yangon, Myanmar (VYYY), and Niamey, Niger (DRRN). Next, our contestants finish up telling us about the different types of fog and how they form. One-third of the way through the season, who's leading for the season crown? Gemini has a total of 83 points for the season. But where are Grok and Copilot? Want to know who's in the lead? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 6. SPJL, BGSF, &amp; OOSA</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>Episode 6. SPJL, BGSF, &amp; OOSA</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">07796a94-3a05-407c-8a9c-991b9219da92</guid>
      <link>https://share.transistor.fm/s/dcc95f1c</link>
      <description>
        <![CDATA[<p><strong>Episode 6.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Juliaca, Peru (SPJL), Kangerlussuaq, Greenland (BGSF), and Salalah, Oman (OOSA). Next, our contestants tell us about some of the different types of fog and how they form. Finally, Digital Dave does a big reveal for the actual reported weather and compares it with last episode's AI forecasts. Want to know who won? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 6.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Juliaca, Peru (SPJL), Kangerlussuaq, Greenland (BGSF), and Salalah, Oman (OOSA). Next, our contestants tell us about some of the different types of fog and how they form. Finally, Digital Dave does a big reveal for the actual reported weather and compares it with last episode's AI forecasts. Want to know who won? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:43:39 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/dcc95f1c/3578b939.mp3" length="28873904" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/43KFL8bBvVn15VlZoOq7e0rkL1plYc2uLGS6HiyFCc4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMDJh/ODg5ODdmNzg0NzBj/NWYyZTlhYzU5MTNl/OTllZi5qcGc.jpg"/>
      <itunes:duration>1800</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 6.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Juliaca, Peru (SPJL), Kangerlussuaq, Greenland (BGSF), and Salalah, Oman (OOSA). Next, our contestants tell us about some of the different types of fog and how they form. Finally, Digital Dave does a big reveal for the actual reported weather and compares it with last episode's AI forecasts. Want to know who won? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 5. SBEG, EPWR, &amp; VCBI</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>Episode 5. SBEG, EPWR, &amp; VCBI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/07d8d84f</link>
      <description>
        <![CDATA[<p><strong>Episode 5.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Manaus, Brazil (SBEG), Wroclaw, Poland (EPWR), and Colombo, Sri Lanka (VCBI). Next, our contestants tell us how fog forms. We finally learn whose forecasts were closest to the actual reported weather. Curious to know who won? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 5.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Manaus, Brazil (SBEG), Wroclaw, Poland (EPWR), and Colombo, Sri Lanka (VCBI). Next, our contestants tell us how fog forms. We finally learn whose forecasts were closest to the actual reported weather. Curious to know who won? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:34:59 -0500</pubDate>
      <author>David Hook</author>
      <enclosure url="https://media.transistor.fm/07d8d84f/298030ea.mp3" length="21195803" type="audio/mpeg"/>
      <itunes:author>David Hook</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/pz1i0AqNhk2DM9nrpgvt1thK8u3t7dN-8tDs62T_AfM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYTA1/ZjZiZThkOTgzZmM0/YTk4MGQzZWVlODIz/NTk4MC5qcGc.jpg"/>
      <itunes:duration>1320</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 5.</strong> AI contestants Grok, Copilot, and Gemini provide forecasts for the temperatures at Manaus, Brazil (SBEG), Wroclaw, Poland (EPWR), and Colombo, Sri Lanka (VCBI). Next, our contestants tell us how fog forms. We finally learn whose forecasts were closest to the actual reported weather. Curious to know who won? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 4. DFFD, VVDN, &amp; NTTB</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Episode 4. DFFD, VVDN, &amp; NTTB</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">45653f40-f232-4abb-a634-6c2d0518d769</guid>
      <link>https://share.transistor.fm/s/0443b965</link>
      <description>
        <![CDATA[<p><strong>Episode 4.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Ouagadougou, Burkina Faso (DFFD), Da Nang, Vietnam (VVDN), and Bora Bora, Oceana (NTTB). Then our contestants tell us about three different types of precipitation that can happen when the outside air temperature is at or below freezing. Finally, we get to the forecast results from the previous episode. But who won? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 4.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Ouagadougou, Burkina Faso (DFFD), Da Nang, Vietnam (VVDN), and Bora Bora, Oceana (NTTB). Then our contestants tell us about three different types of precipitation that can happen when the outside air temperature is at or below freezing. Finally, we get to the forecast results from the previous episode. But who won? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:20:11 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/0443b965/6c7326e2.mp3" length="25038182" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/CIHYJpWuIY_yOx2te47ur7cT_GJpKsYuhC2UVnPBSNQ/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kODY0/NDY3OTdlZjhlYjUz/M2E1YTkxYTdjZDhh/YWU5MC5qcGc.jpg"/>
      <itunes:duration>1560</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 4.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Ouagadougou, Burkina Faso (DFFD), Da Nang, Vietnam (VVDN), and Bora Bora, Oceana (NTTB). Then our contestants tell us about three different types of precipitation that can happen when the outside air temperature is at or below freezing. Finally, we get to the forecast results from the previous episode. But who won? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 3. FMMI, VNKT, &amp; UBBB</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Episode 3. FMMI, VNKT, &amp; UBBB</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">222d756f-3e98-4168-9145-a222f927675c</guid>
      <link>https://share.transistor.fm/s/dc1870c2</link>
      <description>
        <![CDATA[<p><strong>Episode 3.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Antananarivo, Madagascar (FMMI), Kathmandu, Nepal (VNKT), and Baku, Azerbaijan (UBBB) the following week. Our AIs explain the <strong>El Niño</strong> Southern Oscillation or ENSO cycle and the difference between <strong>El Niño</strong> and <strong>La Niña</strong>. As for who won last week's forecasts, listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 3.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Antananarivo, Madagascar (FMMI), Kathmandu, Nepal (VNKT), and Baku, Azerbaijan (UBBB) the following week. Our AIs explain the <strong>El Niño</strong> Southern Oscillation or ENSO cycle and the difference between <strong>El Niño</strong> and <strong>La Niña</strong>. As for who won last week's forecasts, listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:15:05 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/dc1870c2/4fb7eafb.mp3" length="23114687" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/KGTYq4qoDApQpzNiE_50FTiBqx8HPHLorEVcjwQ8Zbw/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOWJh/ODJlMjlkZGZiZDQ1/NGI0M2NiMDQ2YmM3/OTgwYi5qcGc.jpg"/>
      <itunes:duration>1440</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 3.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Antananarivo, Madagascar (FMMI), Kathmandu, Nepal (VNKT), and Baku, Azerbaijan (UBBB) the following week. Our AIs explain the <strong>El Niño</strong> Southern Oscillation or ENSO cycle and the difference between <strong>El Niño</strong> and <strong>La Niña</strong>. As for who won last week's forecasts, listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 2. DIAP, UEEE, &amp; SAWH</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Episode 2. DIAP, UEEE, &amp; SAWH</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">a22fd188-718b-453e-9ab8-d8b3388d83b5</guid>
      <link>https://share.transistor.fm/s/bf63c6b6</link>
      <description>
        <![CDATA[<p><strong>Episode 2.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Abidjan, Cote d'Ivoire (DIAP), Yakutsk, Russia (UEEE), and Ushuaia, Argentina (SAWH) the following week. Our AIs explain the difference between a haboob and the Harmattan. And who won last week's forecasts? Listen to find out.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 2.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Abidjan, Cote d'Ivoire (DIAP), Yakutsk, Russia (UEEE), and Ushuaia, Argentina (SAWH) the following week. Our AIs explain the difference between a haboob and the Harmattan. And who won last week's forecasts? Listen to find out.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 14:05:21 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/bf63c6b6/03adccb5.mp3" length="21678465" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/peJ0A1Q5Emix7H8rlke6CdTag6oNcwIhE1KvEmoEOIc/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mMzky/MzZlNjU5YjMxZjk4/ZTFlMzg0Y2Q2ZGRm/NDIwZi5qcGc.jpg"/>
      <itunes:duration>1350</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 2.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Abidjan, Cote d'Ivoire (DIAP), Yakutsk, Russia (UEEE), and Ushuaia, Argentina (SAWH) the following week. Our AIs explain the difference between a haboob and the Harmattan. And who won last week's forecasts? Listen to find out.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Episode 1. GABS, ZMUB, &amp; NZAA</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Episode 1. GABS, ZMUB, &amp; NZAA</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">6dfea2b1-4332-44cb-82aa-b69f4301811e</guid>
      <link>https://share.transistor.fm/s/24261ba3</link>
      <description>
        <![CDATA[<p><strong>Episode 1.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Bamako, Mali (GABS), Ulaanbaatar, Mongolia (ZMUB), and Auckland, New Zealand (NZAA) the following week.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Episode 1.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Bamako, Mali (GABS), Ulaanbaatar, Mongolia (ZMUB), and Auckland, New Zealand (NZAA) the following week.</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Sep 2026 13:55:36 -0500</pubDate>
      <author>Digital Dave</author>
      <enclosure url="https://media.transistor.fm/24261ba3/8fefb190.mp3" length="14478489" type="audio/mpeg"/>
      <itunes:author>Digital Dave</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/5T5hX9U0DXs1rtGkDmzvmefqsZjX8xBJqtpmNA0EuaA/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NDQx/M2E3OGRhOWZmZTRi/ZTk3ZGY1YjNjNGIz/ZWY2OS5qcGc.jpg"/>
      <itunes:duration>900</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Episode 1.</strong> Show host Digital Dave asks AI contestants Grok, Copilot, and Gemini to forecast the temperatures for Bamako, Mali (GABS), Ulaanbaatar, Mongolia (ZMUB), and Auckland, New Zealand (NZAA) the following week.</p>]]>
      </itunes:summary>
      <itunes:keywords>artificial intelligence, meteorology, weather, science</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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