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    <title>Smart Brevity</title>
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    <description>My way of learning</description>
    <copyright>2026 Jamiepluscoffee</copyright>
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    <pubDate>Sun, 11 Oct 2026 07:07:27 -0700</pubDate>
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    <itunes:summary>My way of learning</itunes:summary>
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      <itunes:name>Jamiepluscoffee</itunes:name>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
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      <title>MailDump 10: Practice Rooms for Robots, and a Cliff Already Born</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>MailDump 10: Practice Rooms for Robots, and a Cliff Already Born</itunes:title>
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      <description>
        <![CDATA[A chip maker pays eight billion dollars for a model that invents camera angles, two AI labs disagree about who holds the agent's leash, colleges face arithmetic that has nothing to do with AI, and an archive thread on thinking with the body.]]>
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        <![CDATA[A chip maker pays eight billion dollars for a model that invents camera angles, two AI labs disagree about who holds the agent's leash, colleges face arithmetic that has nothing to do with AI, and an archive thread on thinking with the body.]]>
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      <pubDate>Sun, 11 Oct 2026 07:07:25 -0700</pubDate>
      <author>Jamiepluscoffee</author>
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      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>422</itunes:duration>
      <itunes:summary>World models get a price tag, agents get leashes, colleges meet demographic arithmetic, and the archive asks where the body fits in thinking.</itunes:summary>
      <itunes:subtitle>World models get a price tag, agents get leashes, colleges meet demographic arithmetic, and the archive asks where the body fits in thinking.</itunes:subtitle>
      <itunes:keywords>newsletters, world models, AI agents, higher education, software, Claude Code, OpenAI, decision making, embodied cognition, MailDump</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/443d43e5/transcript.txt" type="text/plain"/>
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    <item>
      <title>Smart Brevity 4: The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Smart Brevity 4: The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/33c52d59</link>
      <description>
        <![CDATA[The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins; Memory-need stratification: pooled memory scores mostly measure recency; Memory framing: calling context "memories" changes how often it gets used; Hindsight-to-foresight distillation: failed runs teach when group rewards are flat; Reliability over coverage: distill only where tokenizers align cleanly; Experience retention: raw logs versus summarized playbooks for learning agents; Cheap discriminative judges for closed-answer evals at volume; Brain and hands split: editable harnesses, cloud reasoning, device actions; Action gating: approval policy plus readable]]>
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        <![CDATA[The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins; Memory-need stratification: pooled memory scores mostly measure recency; Memory framing: calling context "memories" changes how often it gets used; Hindsight-to-foresight distillation: failed runs teach when group rewards are flat; Reliability over coverage: distill only where tokenizers align cleanly; Experience retention: raw logs versus summarized playbooks for learning agents; Cheap discriminative judges for closed-answer evals at volume; Brain and hands split: editable harnesses, cloud reasoning, device actions; Action gating: approval policy plus readable]]>
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      <pubDate>Sat, 10 Oct 2026 05:09:32 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/33c52d59/5607bd71.mp3" length="3819257" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>471</itunes:duration>
      <itunes:summary>The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins; Memory-need stratification: pooled memory scores mostly measure recency; Memory framing: calling context "memories" changes how often it gets used; Hindsight-to-foresi</itunes:summary>
      <itunes:subtitle>The signal is narrower than it looks: recency posing as memory, failures that teach, less supervision that wins; Memory-need stratification: pooled memory scores mostly measure recency; Memory framing: calling context "memories" changes how often it gets </itunes:subtitle>
      <itunes:keywords>AI, machine learning, AI research, evals, AI product management</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/33c52d59/transcript.txt" type="text/plain"/>
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    <item>
      <title>MailDump 9: Colleges Close, Solar Goes Red, and Who Checks the Work</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>MailDump 9: Colleges Close, Solar Goes Red, and Who Checks the Work</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/469967dc</link>
      <description>
        <![CDATA[American colleges are closing on arithmetic, not AI. Solar booms in the reddest states for business reasons. Private ownership explains more of the top one percent than its reputation suggests. Plus the offices and software seats that headcount no longer fills, cheap thinking versus costly experiments, and who checks AI's work. From the archive: speed in founder writing.]]>
      </description>
      <content:encoded>
        <![CDATA[American colleges are closing on arithmetic, not AI. Solar booms in the reddest states for business reasons. Private ownership explains more of the top one percent than its reputation suggests. Plus the offices and software seats that headcount no longer fills, cheap thinking versus costly experiments, and who checks AI's work. From the archive: speed in founder writing.]]>
      </content:encoded>
      <pubDate>Sun, 04 Oct 2026 07:07:38 -0700</pubDate>
      <author>Jamiepluscoffee</author>
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      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>469</itunes:duration>
      <itunes:summary>Colleges closing on demographics, red-state solar, the 1% next door, offices and software decoupling from headcount, science after cheap thinking, who checks AI work, and an archive thread on founder speed.</itunes:summary>
      <itunes:subtitle>Colleges closing on demographics, red-state solar, the 1% next door, offices and software decoupling from headcount, science after cheap thinking, who checks AI work, and an archive thread on founder speed.</itunes:subtitle>
      <itunes:keywords>maildump, newsletters, higher education, solar, private equity, office market, software, AI for science, AI workflow, startups, founders, speed</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/469967dc/transcript.txt" type="text/plain"/>
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      <title>Smart Brevity 3: Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Smart Brevity 3: Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/3c73c373</link>
      <description>
        <![CDATA[Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks; On-policy distillation scaling: small RL teachers can lift bigger students past themselves; Multi-teacher distillation: normalize each teacher's feedback spread or the loudest domain wins; RIDE: extrapolate the RL direction in hidden states, not in word probabilities; Co-cheating: self-play loops reward shared errors; cross-fitted graders break the echo; Decision models: calibrated classifiers as cheap routers and eval judges; UCB tree search over experiment notebooks, and the reward hacking it invites; Environment interaction shape decides what skills transfer; Cost per completed t]]>
      </description>
      <content:encoded>
        <![CDATA[Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks; On-policy distillation scaling: small RL teachers can lift bigger students past themselves; Multi-teacher distillation: normalize each teacher's feedback spread or the loudest domain wins; RIDE: extrapolate the RL direction in hidden states, not in word probabilities; Co-cheating: self-play loops reward shared errors; cross-fitted graders break the echo; Decision models: calibrated classifiers as cheap routers and eval judges; UCB tree search over experiment notebooks, and the reward hacking it invites; Environment interaction shape decides what skills transfer; Cost per completed t]]>
      </content:encoded>
      <pubDate>Sat, 03 Oct 2026 05:07:44 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/3c73c373/bd1b8f6a.mp3" length="4569421" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>452</itunes:duration>
      <itunes:summary>Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks; On-policy distillation scaling: small RL teachers can lift bigger students past themselves; Multi-teacher distillation: normalize each teacher's feedback spread or the loudest domain wins; </itunes:summary>
      <itunes:subtitle>Your training signal has a shape, and it can lie: who teaches, how loudly, and who checks; On-policy distillation scaling: small RL teachers can lift bigger students past themselves; Multi-teacher distillation: normalize each teacher's feedback spread or </itunes:subtitle>
      <itunes:keywords>AI, machine learning, AI research, evals, AI product management</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/3c73c373/transcript.txt" type="text/plain"/>
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    <item>
      <title>MailDump 8: What Endures When the Model Doesn't</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>MailDump 8: What Endures When the Model Doesn't</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/36a78ef9</link>
      <description>
        <![CDATA[This episode traces a shared instinct across a scattered inbox: turning soft judgment into hard rule. Tech analysts read Apple, Fox, and Meta's AI era deals as bets on distribution and data over any single model. Climate lawyers watch attribution science become courtroom evidence, and watch opponents respond by trying to close the courtroom instead of arguing the facts. Business, money, and product writers each convert a fuzzy call into an explicit rule. The archive segment compares an automated AI research pipeline against the argument that a human should still run the outer loop, and finds the debate already settled in production at one company.]]>
      </description>
      <content:encoded>
        <![CDATA[This episode traces a shared instinct across a scattered inbox: turning soft judgment into hard rule. Tech analysts read Apple, Fox, and Meta's AI era deals as bets on distribution and data over any single model. Climate lawyers watch attribution science become courtroom evidence, and watch opponents respond by trying to close the courtroom instead of arguing the facts. Business, money, and product writers each convert a fuzzy call into an explicit rule. The archive segment compares an automated AI research pipeline against the argument that a human should still run the outer loop, and finds the debate already settled in production at one company.]]>
      </content:encoded>
      <pubDate>Sun, 27 Sep 2026 07:33:45 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/36a78ef9/95cd2e77.mp3" length="5924594" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>587</itunes:duration>
      <itunes:summary>Tech incumbents buy bargaining power instead of betting on one model, climate lawyers turn attribution science into a courtroom weapon, and business, money, and product writers convert fuzzy judgment into fixed rules. An archive dive asks whether AI self improvement can stay human led.</itunes:summary>
      <itunes:subtitle>Tech incumbents buy bargaining power instead of betting on one model, climate lawyers turn attribution science into a courtroom weapon, and business, money, and product writers convert fuzzy judgment into fixed rules. An archive dive asks whether AI self </itunes:subtitle>
      <itunes:keywords>platform strategy, climate litigation, pricing strategy, retirement accounts, product discovery, AI self improvement, newsletter roundup</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/36a78ef9/transcript.txt" type="text/plain"/>
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    <item>
      <title>Smart Brevity 2: Measure the decision, not just the outcome</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Smart Brevity 2: Measure the decision, not just the outcome</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/5a5fb3a8</link>
      <description>
        <![CDATA[Measure the decision, not just the outcome; Regularized harness self-improvement: auto-tuned agent harnesses overfit unless edit size, specificity and bloat are constrained.; Decision-fork evals: grade an agent's choices at branch points; longer thinking does not improve taste, distillation does.; Instance-aware rubric rewards: a per-prompt checklist scored item by item works as eval and RL reward.; Full-duplex voice with async delegation: the frontend keeps talking while a background harness runs tools.; KV cache from zero, plus shrinking it by architecture and splitting prefill from decode.; Parallel test-time compute: many agents plus a verifier as a separate scaling a]]>
      </description>
      <content:encoded>
        <![CDATA[Measure the decision, not just the outcome; Regularized harness self-improvement: auto-tuned agent harnesses overfit unless edit size, specificity and bloat are constrained.; Decision-fork evals: grade an agent's choices at branch points; longer thinking does not improve taste, distillation does.; Instance-aware rubric rewards: a per-prompt checklist scored item by item works as eval and RL reward.; Full-duplex voice with async delegation: the frontend keeps talking while a background harness runs tools.; KV cache from zero, plus shrinking it by architecture and splitting prefill from decode.; Parallel test-time compute: many agents plus a verifier as a separate scaling a]]>
      </content:encoded>
      <pubDate>Sat, 26 Sep 2026 05:09:01 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/5a5fb3a8/99c66039.mp3" length="4183231" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>516</itunes:duration>
      <itunes:summary>Measure the decision, not just the outcome; Regularized harness self-improvement: auto-tuned agent harnesses overfit unless edit size, specificity and bloat are constrained.; Decision-fork evals: grade an agent's choices at branch points; longer thinking does not improve taste, d</itunes:summary>
      <itunes:subtitle>Measure the decision, not just the outcome; Regularized harness self-improvement: auto-tuned agent harnesses overfit unless edit size, specificity and bloat are constrained.; Decision-fork evals: grade an agent's choices at branch points; longer thinking </itunes:subtitle>
      <itunes:keywords>AI, machine learning, AI research, evals, AI product management</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/5a5fb3a8/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>MailDump 7: The Price of Proof, the Cost of Attention</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>MailDump 7: The Price of Proof, the Cost of Attention</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">645f3117-2587-4ac2-8638-a951099422a5</guid>
      <link>https://share.transistor.fm/s/aad872ec</link>
      <description>
        <![CDATA[This week's inbox set OpenAI's ten million dollar plus math proof against DeepSeek's cheaper, context efficient model, then found a Palantir engineer's costly early failure and a SaaS operator's thirty minute shadowing method arriving at the same lesson about building without direct customer contact. Scott Galloway's Oura IPO case and his piece on the Democratic Socialists of America both get read against a wider pattern in what makes a data business durable and why political reaction lags economic change. The archive segment traces thirteen years of design and marketing writing to show that craft judgment did not disappear when AI arrived, it just changed jobs.]]>
      </description>
      <content:encoded>
        <![CDATA[This week's inbox set OpenAI's ten million dollar plus math proof against DeepSeek's cheaper, context efficient model, then found a Palantir engineer's costly early failure and a SaaS operator's thirty minute shadowing method arriving at the same lesson about building without direct customer contact. Scott Galloway's Oura IPO case and his piece on the Democratic Socialists of America both get read against a wider pattern in what makes a data business durable and why political reaction lags economic change. The archive segment traces thirteen years of design and marketing writing to show that craft judgment did not disappear when AI arrived, it just changed jobs.]]>
      </content:encoded>
      <pubDate>Sun, 20 Sep 2026 21:07:03 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/aad872ec/28860b38.mp3" length="4925678" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>487</itunes:duration>
      <itunes:summary>A costly compute proof meets a cheap architecture; a forward deployed engineer's failure and a shadowing technique share a root cause; Oura's IPO and Big Tech's bundling disagree on wearable moats; and design mail shows craft judgment reasserting itself once AI made production free.</itunes:summary>
      <itunes:subtitle>A costly compute proof meets a cheap architecture; a forward deployed engineer's failure and a shadowing technique share a root cause; Oura's IPO and Big Tech's bundling disagree on wearable moats; and design mail shows craft judgment reasserting itself o</itunes:subtitle>
      <itunes:keywords>AI compute economics, OpenAI, DeepSeek, forward deployed engineers, Oura IPO, wearables, DSA, wealth concentration, design craft, AI marketing, Hack Design, Scott Galloway</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/aad872ec/transcript.txt" type="text/plain"/>
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    <item>
      <title>MailDump 6: What Actually Landed</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>MailDump 6: What Actually Landed</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">45bb0ff1-4cdb-4cdc-9ded-929ec2765b5d</guid>
      <link>https://share.transistor.fm/s/740fb8d9</link>
      <description>
        <![CDATA[The mail slowed down, so this leans on what did land plus deeper currents underneath it. Three AI newsletters, same day, argue the model itself is becoming the least interesting part of the story. Four product writers converge on taste as the scarce input once AI removes coordination work. A UK energy campaign and a US grid newsletter reach the same diagnosis from opposite sides of the ocean. A finance writer flags an old retirement account that can wreck a backdoor Roth. Four performance guests show identity predicts comeback better than skill. The archive segment covers five years of growth writing on distribution as the scarce resource.]]>
      </description>
      <content:encoded>
        <![CDATA[The mail slowed down, so this leans on what did land plus deeper currents underneath it. Three AI newsletters, same day, argue the model itself is becoming the least interesting part of the story. Four product writers converge on taste as the scarce input once AI removes coordination work. A UK energy campaign and a US grid newsletter reach the same diagnosis from opposite sides of the ocean. A finance writer flags an old retirement account that can wreck a backdoor Roth. Four performance guests show identity predicts comeback better than skill. The archive segment covers five years of growth writing on distribution as the scarce resource.]]>
      </content:encoded>
      <pubDate>Sat, 05 Sep 2026 17:46:43 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/740fb8d9/7e72a202.mp3" length="5567067" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>689</itunes:duration>
      <itunes:summary>A catch up edition: AI writers agree the model itself is fading in importance, product writers converge on taste as the scarce skill, a UK campaigner and a US grid analyst reach the same fix for local power, a backdoor Roth quirk, and a five year archive dive on distribution as the scarce resource.</itunes:summary>
      <itunes:subtitle>A catch up edition: AI writers agree the model itself is fading in importance, product writers converge on taste as the scarce skill, a UK campaigner and a US grid analyst reach the same fix for local power, a backdoor Roth quirk, and a five year archive </itunes:subtitle>
      <itunes:keywords>AI harness, model layer, product management, taste, judgment, climate, community energy, grid, personal finance, backdoor Roth, retirement accounts, health, identity, performance psychology, tech industry, distribution, growth, catch up edition</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/740fb8d9/transcript.txt" type="text/plain"/>
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    <item>
      <title>Smart Brevity 1: Scaffolding is where this week's gains are, and it is dumber than assumed</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Smart Brevity 1: Scaffolding is where this week's gains are, and it is dumber than assumed</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">bf60ff15-63d9-4440-8b75-e11548c9ede6</guid>
      <link>https://share.transistor.fm/s/3babe4ec</link>
      <description>
        <![CDATA[The first Smart Brevity seminar: five research threads and the week's practitioner material on evals and AI product development, taught for understanding rather than headlines.]]>
      </description>
      <content:encoded>
        <![CDATA[The first Smart Brevity seminar: five research threads and the week's practitioner material on evals and AI product development, taught for understanding rather than headlines.]]>
      </content:encoded>
      <pubDate>Sat, 05 Sep 2026 10:26:19 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/3babe4ec/8dc3a4c9.mp3" length="5072470" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>627</itunes:duration>
      <itunes:summary>This week in AI, taught properly: skill libraries, harness portability, KV cache eviction, cheaper agent evals, and where the scaffolding gains really come from.</itunes:summary>
      <itunes:subtitle>This week in AI, taught properly: skill libraries, harness portability, KV cache eviction, cheaper agent evals, and where the scaffolding gains really come from.</itunes:subtitle>
      <itunes:keywords>AI, machine learning, AI research, evals, AI product management</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/3babe4ec/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>MailDump 5: Debt, Discipline, and Deciding Before the Storm Hits</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>MailDump 5: Debt, Discipline, and Deciding Before the Storm Hits</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/f8d76279</link>
      <description>
        <![CDATA[The sweeps stalled for a stretch, so this is a catch-up edition covering what actually landed in the last couple of weeks rather than a strict single week. Threads: Jerry Murdoch's debt-bubble warning against Anthropic's mechanical first profit and Poolside's compute-starved collapse into Nvidia; a SaaS Academy five-step discipline for capping AI spending; Climatebase on COP17 pledges reshuffling climate finance toward land restoration; Dror Poleg on AI's labor effect landing on data-center jobs and public opinion rather than paychecks; and an archive segment on three Finding Mastery guests who all learned to decide before the pressure arrives, not during it.]]>
      </description>
      <content:encoded>
        <![CDATA[The sweeps stalled for a stretch, so this is a catch-up edition covering what actually landed in the last couple of weeks rather than a strict single week. Threads: Jerry Murdoch's debt-bubble warning against Anthropic's mechanical first profit and Poolside's compute-starved collapse into Nvidia; a SaaS Academy five-step discipline for capping AI spending; Climatebase on COP17 pledges reshuffling climate finance toward land restoration; Dror Poleg on AI's labor effect landing on data-center jobs and public opinion rather than paychecks; and an archive segment on three Finding Mastery guests who all learned to decide before the pressure arrives, not during it.]]>
      </content:encoded>
      <pubDate>Thu, 03 Sep 2026 10:01:58 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/f8d76279/5343cfae.mp3" length="4368822" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>436</itunes:duration>
      <itunes:summary>A catch-up edition: is the AI money machine a bubble or the real thing, a five-step way to cap AI spending, climate finance pivoting toward land restoration, AI's indirect labor effects, and an archive dive into deciding before pressure hits, from Finding Mastery.</itunes:summary>
      <itunes:subtitle>A catch-up edition: is the AI money machine a bubble or the real thing, a five-step way to cap AI spending, climate finance pivoting toward land restoration, AI's indirect labor effects, and an archive dive into deciding before pressure hits, from Finding</itunes:subtitle>
      <itunes:keywords>AI bubble, AI spending discipline, Anthropic, Poolside, OpenRouter, SaaS Academy, Dror Poleg, Climatebase, COP17, Finding Mastery, decision making, catch-up edition, MailDump</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/f8d76279/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>MailDump 4: The Podcast Roundup</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>MailDump 4: The Podcast Roundup</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c08c00ec-6635-4723-91e0-11dfc98eb606</guid>
      <link>https://share.transistor.fm/s/f9a93fd8</link>
      <description>
        <![CDATA[The podcast roundup for the tenth to the twenty-second of August: 20VC and More or Less, full coverage. The credit-market warning, the Ramp reality check on inference demand, the Stripe-OpenRouter deal from both tables, and every debate, quoted verbatim.]]>
      </description>
      <content:encoded>
        <![CDATA[The podcast roundup for the tenth to the twenty-second of August: 20VC and More or Less, full coverage. The credit-market warning, the Ramp reality check on inference demand, the Stripe-OpenRouter deal from both tables, and every debate, quoted verbatim.]]>
      </content:encoded>
      <pubDate>Mon, 24 Aug 2026 06:57:39 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/f9a93fd8/886967d5.mp3" length="22416371" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>1867</itunes:duration>
      <itunes:summary>The podcast roundup: two weeks of 20VC and More or Less, briefed.</itunes:summary>
      <itunes:subtitle>The podcast roundup: two weeks of 20VC and More or Less, briefed.</itunes:subtitle>
      <itunes:keywords>podcasts, 20VC, More or Less, AI, venture capital, weekly digest</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/f9a93fd8/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>MailDump 3: The Half-Cent Model, the Return of the Room, and Carbon Removal's Reckoning</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>MailDump 3: The Half-Cent Model, the Return of the Room, and Carbon Removal's Reckoning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">098784a6-02e2-4e6e-bbfd-b53adaac3334</guid>
      <link>https://share.transistor.fm/s/0d4dcdec</link>
      <description>
        <![CDATA[A third catch-up edition drawn mostly from the deep catalog, since only one new source entry landed in the week since the last dump. Threads compare Opus 5 and Kimi K3's frontier price cuts against a practitioner routing real agent work to DeepSeek at a fraction of the cost, weigh Scott Galloway's single-voice case that offline experience is repricing as digital content goes to zero cost, and trace carbon removal's demand shortfall through Air Miners and Carbon Copy's opposite fixes. The archive segment spans a 2014 Stanford lecture to a 2026 SaaS Academy guest post on how founders actually find real problems worth solving.]]>
      </description>
      <content:encoded>
        <![CDATA[A third catch-up edition drawn mostly from the deep catalog, since only one new source entry landed in the week since the last dump. Threads compare Opus 5 and Kimi K3's frontier price cuts against a practitioner routing real agent work to DeepSeek at a fraction of the cost, weigh Scott Galloway's single-voice case that offline experience is repricing as digital content goes to zero cost, and trace carbon removal's demand shortfall through Air Miners and Carbon Copy's opposite fixes. The archive segment spans a 2014 Stanford lecture to a 2026 SaaS Academy guest post on how founders actually find real problems worth solving.]]>
      </content:encoded>
      <pubDate>Sun, 16 Aug 2026 07:18:41 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/0d4dcdec/b3e49336.mp3" length="7273962" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>728</itunes:duration>
      <itunes:summary>This week's dump sets a lab price war against one practitioner's real savings, checks Scott Galloway's four-part case for offline experience, watches two carbon removal newsletters split on who has to be the first buyer, and pulls a twelve-year idea-validation convergence from the archive.</itunes:summary>
      <itunes:subtitle>This week's dump sets a lab price war against one practitioner's real savings, checks Scott Galloway's four-part case for offline experience, watches two carbon removal newsletters split on who has to be the first buyer, and pulls a twelve-year idea-valid</itunes:subtitle>
      <itunes:keywords>AI pricing, Claude Code, DeepSeek, Opus 5, Kimi K3, carbon removal, climate policy, product management leadership, business building, idea validation, Scott Galloway, tech industry, newsletter roundup</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/0d4dcdec/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>MailDump 2: Work What You Have, the People Bottleneck, and the Moat AI Can't Fake</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>MailDump 2: Work What You Have, the People Bottleneck, and the Moat AI Can't Fake</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">db8f7b1a-4ea1-4c4c-954e-9676bb62289a</guid>
      <link>https://share.transistor.fm/s/6cbc146b</link>
      <description>
        <![CDATA[With this week's newsletter sweeps still dry, MailDump goes back through the catalog for threads that didn't make the debut episode: why three very different growth operators all say to work the customers you already have before buying new ones, why climate hiring, home electrification, and carbon policy keep hitting the same people-shortage wall, and why a personal-finance writer and two health researchers each turn anxiety into arithmetic. It closes with the show's first From the Archive segment, a six-year product-management convergence on outcomes over output.]]>
      </description>
      <content:encoded>
        <![CDATA[With this week's newsletter sweeps still dry, MailDump goes back through the catalog for threads that didn't make the debut episode: why three very different growth operators all say to work the customers you already have before buying new ones, why climate hiring, home electrification, and carbon policy keep hitting the same people-shortage wall, and why a personal-finance writer and two health researchers each turn anxiety into arithmetic. It closes with the show's first From the Archive segment, a six-year product-management convergence on outcomes over output.]]>
      </content:encoded>
      <pubDate>Sun, 09 Aug 2026 07:16:56 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/6cbc146b/a52fd34b.mp3" length="5539268" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>693</itunes:duration>
      <itunes:summary>This week's MailDump digs through a still-stalled newsletter backlog for what three growth operators, five climate voices, and two health researchers each independently discovered on their own terms.</itunes:summary>
      <itunes:subtitle>This week's MailDump digs through a still-stalled newsletter backlog for what three growth operators, five climate voices, and two health researchers each independently discovered on their own terms.</itunes:subtitle>
      <itunes:keywords>newsletters, business building, climate, marketing, personal finance, health, product management, SaaS, retention, growth</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/6cbc146b/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>The Grid, the Bubble, and Two Business Truths</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>The Grid, the Bubble, and Two Business Truths</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">59756e73-edb3-4c9c-96b0-ee762793eaa3</guid>
      <link>https://share.transistor.fm/s/46df4b59</link>
      <description>
        <![CDATA[The first MailDump. A cross-section of what has been landing in your inbox lately: why your newsletters agree the electrical grid, not chips, is throttling the AI build-out; the open fight over whether this is 1999 all over again; and the twelve-years-apart consensus on retention and founder-optional businesses. A debut catch-up edition, rendered in a synthesized voice.]]>
      </description>
      <content:encoded>
        <![CDATA[The first MailDump. A cross-section of what has been landing in your inbox lately: why your newsletters agree the electrical grid, not chips, is throttling the AI build-out; the open fight over whether this is 1999 all over again; and the twelve-years-apart consensus on retention and founder-optional businesses. A debut catch-up edition, rendered in a synthesized voice.]]>
      </content:encoded>
      <pubDate>Mon, 03 Aug 2026 16:07:29 -0700</pubDate>
      <author>Jamiepluscoffee</author>
      <enclosure url="https://media.transistor.fm/46df4b59/1fa0162c.mp3" length="6445055" type="audio/mpeg"/>
      <itunes:author>Jamiepluscoffee</itunes:author>
      <itunes:duration>645</itunes:duration>
      <itunes:summary>A debut catch-up on what your newsletters have been saying: the power grid as the real AI bottleneck, whether the boom is 1999 again, and two truths about how businesses actually grow.</itunes:summary>
      <itunes:subtitle>A debut catch-up on what your newsletters have been saying: the power grid as the real AI bottleneck, whether the boom is 1999 again, and two truths about how businesses actually grow.</itunes:subtitle>
      <itunes:keywords>newsletters, weekly digest, AI, climate, business, startups, personal finance</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/46df4b59/transcript.txt" type="text/plain"/>
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