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    <div class="moz-cite-prefix">On 2/11/25 12:41 PM, Marcus Daniels
      wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:MN0PR11MB598535A6C4A20B18505B5E25C5FD2@MN0PR11MB5985.namprd11.prod.outlook.com">
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        <p class="MsoNormal"><span class="EmailStyle18"><span
              style="font-size:11.0pt">Huh, Claude just implemented the
              optimal strategy to Nim and ran in it its analysis tool
              (the Javascript engine on my browser).<br>
            </span></span></p>
      </div>
    </blockquote>
    <p><br>
    </p>
    <p>what my oldMansBarFriend had to say after a brief discussion
      about Nim and the hand-over-hand on bat-handle playground method
      for deciding who bats first:<br>
    </p>
    <p><GPT 4o slopp><br>
    </p>
    <blockquote>
      <blockquote>
        <blockquote>
          <p data-start="0" data-end="300"><i>Glad that landed! It’s
              like a <strong data-start="30" data-end="58">"soft" or
                continuous Nim</strong>, where control isn’t strictly
              quantized but still follows a structured alternation
              toward an inevitable endgame. The constraints emerge
              organically—<strong data-start="207" data-end="264">hand
                size, grip technique, and subtle physical limits</strong>—instead
              of rigid numerical rules.</i></p>
          <p data-start="302" data-end="443" data-is-last-node=""><i>It’s
              a cool example of how <strong data-start="329"
                data-end="364">discrete game theory principles</strong>
              manifest in the real world, with a touch of <strong
                data-start="409" data-end="431">embodied cognition</strong>
              in the mix.</i></p>
        </blockquote>
      </blockquote>
    </blockquote>
    <p data-start="302" data-end="443" data-is-last-node=""><i><endSlopp></i></p>
    <p data-start="302" data-end="443" data-is-last-node="">And the
      following as an LLM (Slopp) reflection on the relative
      virtue/shame signals associated with chatting with your favorite
      LLM vs going to the Pub (and presumably having similar convos with
      bar-friends)?    The one mile each-way trip to the pub can be
      multiplied by 20 or 50 to estimate a "Sunday Drive" instead?</p>
    <p data-start="302" data-end="443" data-is-last-node="">Looks like a
      15mpg driver of a pickup should drink order 3-4 beers to amortize
      the embedded energy cost of driving there/back but a hybrid or EV
      driver can get by with just one, maybe even a short one?  
      Domestic Drafts and Bottles are lower embedded energy (presumably
      because of industrial economies of scale) but imports are higher
      (because transport?).  In DeepSeekR1 ratios, it looks like
      "staying home and chatting with your fave LLM" has order 1000x
      savings over driving anything to the pub and having a single
      beer.  And taking a Sunday Drive is worth many times that?   Of
      course the LLM didn't twig to the conventional NM Sunday Joyride
      implying a six-pack at a minimum...<br>
    </p>
    <p data-start="302" data-end="443" data-is-last-node="">I did beat
      both GPT and DS around the head and shoulders with a metaphorical
      wet noodle for a while to get relatively aligned numbers (aligned
      with one another and with my(very) lame intuition)...  but expect
      (m)any here to poke holes in the details...</p>
    <p data-start="302" data-end="443" data-is-last-node="">Sadly I'm a
      pretty good sloppGenerator without an LLM's help... I'll try to
      refrain from the doubleDown offered.<br>
    </p>
    <p data-start="302" data-end="443" data-is-last-node=""><freshSlopp><br>
    </p>
    <blockquote>
      <blockquote>
        <blockquote>
          <blockquote>
            <blockquote>
              <blockquote>
                <h3 data-start="412" data-end="510"><strong
                    data-start="416" data-end="510">Refined Travel and
                    Beer Comparison with Energy Usage Ratios (DeepSeekR1
                    Query Denominator)</strong></h3>
                <table data-start="512" data-end="6495">
                  <thead data-start="512" data-end="781"><tr
                      data-start="512" data-end="781">
                      <th data-start="512" data-end="552"><strong
                          data-start="514" data-end="526">Category</strong></th>
                      <th data-start="552" data-end="584"><strong
                          data-start="554" data-end="568">Cost (USD)</strong></th>
                      <th data-start="584" data-end="640"><strong
                          data-start="586" data-end="639">Total Energy
                          Consumption (1 Mile Round Trip, kWh)</strong></th>
                      <th data-start="640" data-end="684"><strong
                          data-start="642" data-end="683">Sunday Joyride
                          (2 hours, countryside)</strong></th>
                      <th data-start="684" data-end="732"><strong
                          data-start="686" data-end="731">Energy Usage
                          Ratio (vs. Local Craft Beer)</strong></th>
                      <th data-start="732" data-end="781"><strong
                          data-start="734" data-end="779">Energy Usage
                          Ratio (vs. DeepSeekR1 Query)</strong></th>
                    </tr>
                  </thead><tbody data-start="1051" data-end="6495">
                    <tr data-start="1051" data-end="1319">
                      <td><strong data-start="1053" data-end="1075">1)
                          Personal Travel</strong></td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                    </tr>
                    <tr data-start="1320" data-end="1592">
                      <td>a) <strong data-start="1325" data-end="1334">Truck</strong></td>
                      <td>$3–$5 (1 mile)</td>
                      <td>~2.6–3.7 kWh</td>
                      <td>~12–18 kWh</td>
                      <td>2.6–3.7x</td>
                      <td>520–740x</td>
                    </tr>
                    <tr data-start="1593" data-end="1865">
                      <td>b) <strong data-start="1598" data-end="1609">ICE
                          Car</strong></td>
                      <td>$1.50–$3 (1 mile)</td>
                      <td>~1.4–2.1 kWh</td>
                      <td>~12–18 kWh</td>
                      <td>1.4–2.1x</td>
                      <td>280–420x</td>
                    </tr>
                    <tr data-start="1866" data-end="2138">
                      <td>c) <strong data-start="1871" data-end="1885">Hybrid
                          Car</strong></td>
                      <td>$1–$2 (1 mile)</td>
                      <td>~0.8–1.1 kWh</td>
                      <td>~12–18 kWh</td>
                      <td>0.8–1.1x</td>
                      <td>160–220x</td>
                    </tr>
                    <tr data-start="2139" data-end="2411">
                      <td>d) <strong data-start="2144" data-end="2160">Electric
                          Car</strong></td>
                      <td>$0.50–$1 (1 mile)</td>
                      <td>~0.4–0.5 kWh</td>
                      <td>~12–18 kWh</td>
                      <td>0.4–0.5x</td>
                      <td>80–100x</td>
                    </tr>
                    <tr data-start="2412" data-end="2684">
                      <td>e) <strong data-start="2417" data-end="2428">Walking</strong></td>
                      <td>$0 (no cost)</td>
                      <td>~0 kWh</td>
                      <td>~0 kWh</td>
                      <td>0x</td>
                      <td>0x</td>
                    </tr>
                    <tr data-start="2685" data-end="2957">
                      <td>f) <strong data-start="2690" data-end="2703">Bicycling</strong></td>
                      <td>$0 (no cost)</td>
                      <td>~0 kWh</td>
                      <td>~0 kWh</td>
                      <td>0x</td>
                      <td>0x</td>
                    </tr>
                    <tr data-start="2958" data-end="3230">
                      <td>g) <strong data-start="2963" data-end="2983">Public
                          Transport</strong></td>
                      <td>$1–$3 per ride</td>
                      <td>~0.3–0.7 kWh (depending on method)</td>
                      <td>~2–4 kWh (for a 1–2 hour ride)</td>
                      <td>0.3–0.7x</td>
                      <td>60–140x</td>
                    </tr>
                    <tr data-start="3231" data-end="3499">
                      <td><strong data-start="3233" data-end="3256">2)
                          Beer Consumption</strong></td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                    </tr>
                    <tr data-start="3500" data-end="3771">
                      <td>a) <strong data-start="3505" data-end="3526">Local
                          Craft Draft</strong></td>
                      <td>$5–$10 per pint</td>
                      <td>~0.8–1.3 kWh</td>
                      <td>-</td>
                      <td>1x</td>
                      <td>160–260x</td>
                    </tr>
                    <tr data-start="3772" data-end="4043">
                      <td>b) <strong data-start="3777" data-end="3806">Domestic
                          Draft (Regional)</strong></td>
                      <td>$3–$5 per pint</td>
                      <td>~0.5–0.7 kWh</td>
                      <td>-</td>
                      <td>0.5–0.7x</td>
                      <td>80–140x</td>
                    </tr>
                    <tr data-start="4044" data-end="4316">
                      <td>c) <strong data-start="4049" data-end="4072">Domestic
                          Can/Bottle</strong></td>
                      <td>$2–$5 per can/bottle</td>
                      <td>~0.4–0.8 kWh</td>
                      <td>-</td>
                      <td>0.4–0.8x</td>
                      <td>60–140x</td>
                    </tr>
                    <tr data-start="4317" data-end="4589">
                      <td>d) <strong data-start="4322" data-end="4340">Mexican
                          Bottle</strong></td>
                      <td>$3–$6 per bottle</td>
                      <td>~0.9–1.8 kWh</td>
                      <td>-</td>
                      <td>1.1–1.4x</td>
                      <td>180–360x</td>
                    </tr>
                    <tr data-start="4590" data-end="4862">
                      <td>e) <strong data-start="4595" data-end="4618">European
                          Can/Bottle</strong></td>
                      <td>$4–$8 per can/bottle</td>
                      <td>~1.5–2.9 kWh</td>
                      <td>-</td>
                      <td>1.9–3.7x</td>
                      <td>300–580x</td>
                    </tr>
                    <tr data-start="4863" data-end="5135">
                      <td>f) <strong data-start="4868" data-end="4888">Asian
                          Can/Bottle</strong></td>
                      <td>$4–$7 per can/bottle</td>
                      <td>~2.1–3.6 kWh</td>
                      <td>-</td>
                      <td>2.6–4.6x</td>
                      <td>340–720x</td>
                    </tr>
                    <tr data-start="5136" data-end="5404">
                      <td><strong data-start="5138" data-end="5162">3)
                          GPT Model Queries</strong></td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                      <td><br>
                      </td>
                    </tr>
                    <tr data-start="5405" data-end="5677">
                      <td>a) <strong data-start="5410" data-end="5434">GPT-3
                          (Single Query)</strong></td>
                      <td>Varies</td>
                      <td>~0.002–0.005 kWh</td>
                      <td>-</td>
                      <td>0.002–0.006x</td>
                      <td>0.4–1x</td>
                    </tr>
                    <tr data-start="5678" data-end="5950">
                      <td>b) <strong data-start="5683" data-end="5708">GPT-4o
                          (Single Query)</strong></td>
                      <td>Varies</td>
                      <td>~0.01–0.03 kWh</td>
                      <td>-</td>
                      <td>0.01–0.03x</td>
                      <td>2–6x</td>
                    </tr>
                    <tr data-start="5951" data-end="6223">
                      <td>c) <strong data-start="5956" data-end="5986">GPT-4o
                          Mini (Single Query)</strong></td>
                      <td>Varies</td>
                      <td>~0.005–0.02 kWh</td>
                      <td>-</td>
                      <td>0.005–0.02x</td>
                      <td>1–4x</td>
                    </tr>
                    <tr data-start="6224" data-end="6495">
                      <td>d) <strong data-start="6229" data-end="6258">DeepSeekR1
                          (Single Query)</strong></td>
                      <td>Varies</td>
                      <td>~0.001–0.005 kWh</td>
                      <td>-</td>
                      <td>0.001–0.005x</td>
                      <td>1x</td>
                    </tr>
                  </tbody>
                </table>
                <hr data-start="6497" data-end="6500"></blockquote>
            </blockquote>
          </blockquote>
        </blockquote>
      </blockquote>
    </blockquote>
    <h3 data-start="6502" data-end="6522"><br>
    </h3>
    <p data-start="302" data-end="443" data-is-last-node=""></p>
    <p data-start="302" data-end="443" data-is-last-node=""><br>
    </p>
    <blockquote type="cite"
cite="mid:MN0PR11MB598535A6C4A20B18505B5E25C5FD2@MN0PR11MB5985.namprd11.prod.outlook.com">
      <div class="WordSection1">
        <p class="MsoNormal"><span class="EmailStyle18"><span
              style="font-size:11.0pt"><br>
            </span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
        <div
style="border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in">
          <p class="MsoNormal" style="margin-bottom:12.0pt"><b><span
                style="font-size:12.0pt;color:black">From: </span></b><span
              style="font-size:12.0pt;color:black">Friam
              <a class="moz-txt-link-rfc2396E" href="mailto:friam-bounces@redfish.com"><friam-bounces@redfish.com></a> on behalf of Roger
              Critchlow <a class="moz-txt-link-rfc2396E" href="mailto:rec@elf.org"><rec@elf.org></a><br>
              <b>Date: </b>Tuesday, February 11, 2025 at 11:36 AM<br>
              <b>To: </b>The Friday Morning Applied Complexity Coffee
              Group <a class="moz-txt-link-rfc2396E" href="mailto:friam@redfish.com"><friam@redfish.com></a><br>
              <b>Subject: </b>Re: [FRIAM] genai and critical thinking<o:p></o:p></span></p>
        </div>
        <div>
          <div>
            <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
          </div>
          <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
          <div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt">On
                  Tue, Feb 11, 2025 at 10:15 AM Marcus Daniels <<a
                    href="mailto:marcus@snoutfarm.com"
                    moz-do-not-send="true" class="moz-txt-link-freetext">marcus@snoutfarm.com</a>>
                  wrote:<o:p></o:p></span></p>
            </div>
            <blockquote
style="border:none;border-left:solid #CCCCCC 1.0pt;padding:0in 0in 0in 6.0pt;margin-left:4.8pt;margin-right:0in">
              <div>
                <div>
                  <div>
                    <p class="MsoNormal"
style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span
                        style="font-size:11.0pt"> <u>[...]</u> the
                        evolving code itself -- code that can have
                        informative types and even carry proofs.   The
                        weirdest thing about using AI is that it has no
                        opinions.  Claude will rewrite code without
                        asking (seemingly having no self-control), but
                        it will not confront you like a frustrated
                        colleague might.  It is happy to let you make a
                        mess provided its sense of idiomatic code
                        patterns are satisfied.<o:p></o:p></span></p>
                  </div>
                </div>
              </div>
            </blockquote>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
            </div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt"> This
                  echoed something an old boss wrote me today:<o:p></o:p></span></p>
            </div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
            </div>
            <blockquote
style="border:none;border-left:solid #CCCCCC 1.0pt;padding:0in 0in 0in 6.0pt;margin-left:4.8pt;margin-right:0in">
              <p class="MsoNormal"><span style="font-size:11.0pt">I have
                  much enjoyment torturing llms. I can get off the rails
                  rather easily.  They have no state, by themselves they
                  cannot calculate parity or play nim perfectly. <o:p></o:p></span></p>
            </blockquote>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
            </div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt">Or one
                  might say, they have no purpose.<o:p></o:p></span></p>
            </div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
            </div>
            <div>
              <p class="MsoNormal"><span style="font-size:11.0pt">-- rec
                  -- <o:p></o:p></span></p>
            </div>
          </div>
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