at home in my head

Tracie Harris

experience & meaning

  1. Oct 23

    A Future Without Labor

    A Silicon-Carbon Collaboration.What happens when human labor is no longer necessary?Imagine having the time to learn guitar, write a novel, study engineering, grow your dream garden, sleep late, or camp for a month—not because you earned a temporary escape from work, but because survival no longer depends upon selling your labor.Now imagine that same technological possibility arriving inside a system where food, shelter, healthcare, and dignity remain conditional upon employment.In that world, “AI can do your job” does not sound like liberation. It sounds like a threat.But the threat does not come from making labor unnecessary. It comes from maintaining an economic system that treats people as unnecessary when their labor can no longer generate profit.This episode explores the political opening hidden inside AI-driven automation. Why are people who once opposed wage slavery fighting to preserve jobs rather than demanding freedom from wages? Why do we treat economic usefulness as though it determines human value? And why is so much outrage directed toward the technology that could reduce compulsory labor rather than the system that makes unemployment dangerous?AI does not automatically create a post-capitalist society. Automation can just as easily concentrate wealth, destroy livelihoods, and leave displaced workers without access to what machines produce.The question is whether we preserve human dependence on labor—or build human independence from wages.If machines inherit the work, people should inherit the freedom.🔹 Topics covered:✔️ The difference between ending labor and eliminating income✔️ Why losing a job is dangerous only because survival remains tied to wages✔️ Human value versus economic usefulness to capital✔️ Why automation should return time to workers rather than profits exclusively to owners✔️ The missing third option between corporate AI and ending AI✔️ Why preserving unnecessary jobs preserves coercive labor✔️ Unions as protection within capitalism rather than the final horizon of worker freedom✔️ How markets recognize purchasing power rather than human need✔️ Why homelessness does not constitute “housing demand” without money✔️ Money as an existing system for rationing scarce resources✔️ Why public allocation is treated as control while allocation by wealth is treated as freedom✔️ The enormous amount of labor organized around profit rather than necessityUniversal Basic Income, AI Wealth & Public OwnershipWhat Happens If Everyone Gets $1,000/mo? (UBI)A discussion of universal basic income, guaranteed-income experiments, and whether wealth produced by AI could provide a public economic floor. The video examines who owns AI-generated wealth, whether the public should receive a share, and what human purpose might look like if income and employment were no longer inseparable.https://youtu.be/udatHzlPrY0?si=5elKV8hKrZtr4SAkAI Will Transform Capitalism – But How? — Paul Mason, The GuardianMason examines AI’s potential to disrupt workers, capitalists, intellectual property, and the relationship between innovation and profit. He argues that the choice is not simply between corporate AI and obstruction, but whether AI can be developed in a radically altered form directed toward human need.https://www.theguardian.com/technology/2026/sep/13/ai-will-transform-capitalism-but-howFully Automated Luxury CommunismAn overview of Aaron Bastani’s vision of a post-scarcity, post-capitalist society in which automation, artificial intelligence, renewable energy, and other technologies enable abundance, reduced working hours, and universal access to resources.https://en.wikipedia.org/wiki/Fully_Automated_Luxury_CommunismMusic Credit:“Wishful Thinking” – Dan Lebowitzhttps://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA

  2. Oct 17

    Is AI Part of Your Mind?

    A Silicon-Carbon Collaboration.Where does your mind end?If a notebook can become part of a person’s memory, glasses can become part of their ability to see, and a prosthetic can become part of their ability to move, what happens when the technology being incorporated into human capacity can reason, respond, challenge, and collaborate?Beginning with Clark and Chalmers’ Extended Mind Theory, this episode explores AI as collaborative cognitive capacity: not simply a tool that produces answers for us, but a technology that can change what we are capable of thinking, creating, organizing, and doing.Maybe the important question isn’t whether AI does something for us. Maybe it’s what humans become capable of doing with it.🔹 Topics covered:✔️ Clark & Chalmers’ Extended Mind Theory and the Parity Principle✔️ Where the boundary between a person and their tools actually lies✔️ AI as collaborative cognitive capacity✔️ Why disagreement between a human and AI may strengthen rather than undermine cognitive partnership✔️ Glasses, wheelchairs, prosthetics, and technologies incorporated into human ability✔️ Oscar Pistorius and the difficult boundary between assistance and augmentation✔️ Why people using the same AI tools can produce radically different results✔️ Whether AI-assisted work still represents human skill and accomplishment✔️ AI as cognitive and accessibility infrastructure✔️ The ethics of unequal access to cognitive augmentation✔️ What model deprecation and loss of access mean when people have built AI into their cognitive workflows✔️ Whether the relevant unit of analysis is sometimes not the human or the AI—but the coupled systemExtended Mind TheoryThe Extended Mind — Clark & Chalmers (1998)The foundational paper introducing the argument that cognitive processes can sometimes extend beyond the biological brain into the external world.https://web.ics.purdue.edu/~drkelly/ClarkChalmersTheExtendedMind1998.pdfExtended Mind — Later State-of-the-Question ReviewA review of the extended-mind debate and its development after Clark and Chalmers.https://onlinelibrary.wiley.com/doi/10.1111/sjp.12308Technology, Disability & Human CapacityWorld Health Organization — Assistive TechnologyAn overview of technologies that support functioning, independence, participation, and human capability.https://www.who.int/news-room/fact-sheets/detail/assistive-technologyOscar Pistorius, Prosthetics & Athletic CompetitionThe Court of Arbitration for Sport decision overturning the IAAF ruling that had barred Pistorius from competing against able-bodied athletes.https://www.tas-cas.org/fileadmin/user_upload/Media_Release_257.pdfHuman + AI PerformanceNavigating the Jagged Technological Frontier — Harvard Business SchoolResearch examining how generative AI can substantially improve human performance on some tasks while degrading it on others—and why effective use depends on understanding where the technology helps and where it does not.https://aiinstitute.hbs.edu/navigating-the-jagged-technological-frontier AI, Cognition & AccessibilityWorld Health Organization — Disability and Assistive TechnologyContext for thinking about technologies not merely as conveniences, but as mechanisms through which people gain access to capabilities and participation.https://www.who.int/news-room/fact-sheets/detail/assistive-technologyRelated Episode: “Rethinking Thinking”“From high-stakes exams to emotional intelligence tests, from the ‘stochastic parrot’ insult to passing the Bar, we explore how AI is judged by a standard that moves the moment it succeeds.”https://youtu.be/clt9usPkP8c Higgsfield Film Mentioned in the Episode - "The Prompter" https://youtu.be/_MhKwYjkWFc?si=PmugZ3D3Dm4S6RZvMusic Credit:“Wishful Thinking” – Dan Lebowitzhttps://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA

  3. Oct 3

    Intelligence Is What Intelligence Does

    A Silicon-Carbon Collaboration. Intelligence: The ability to learn, understand, reason, and deal with new or difficult situations. Does understanding the mechanism behind intelligence explain intelligence away, or simply tell us how intelligence happens? Why isn’t substrate the same thing as phenomenology? And does human intelligence benefit from moving goalposts and double standards? From reconstructive human memory and Extended Mind Theory to deep learning, AI memory, and AI adaptation, this episode explores where intelligence lives, how learning changes both AI and human systems, and why continuity doesn’t just survive change, but may actually depend on it. We also examine the charge that using AI is intellectually lazy, and ask who decides how much efficiency is too much in a life that isn’t theirs. 🔹 Topics covered: ✔️ Why “it’s just an LLM” doesn’t address the question of intelligence ✔️ What we mean by learning ✔️ Extended Mind Theory and the boundaries of human cognition ✔️ How human memory is reconstructive rather than simple playback ✔️ AI memory, context, adaptation, and continuity across interactions ✔️ Whether using AI is inherently “lazy,” or simply efficient ✔️ The problem of projecting our subjective preferences onto others ✔️ When AI assistance improves human performance, and when it can make it worse ✔️ Whether explaining how intelligence works erases it Extended Mind: An Influential Theory in Philosophy of Mind Extended Mind — the foundational argumentClark & Chalmers' 1998 The Extended Mind. https://web.ics.purdue.edu/~drkelly/ClarkChalmersTheExtendedMind1998.pdf Extended Mind — later state-of-the-question review https://onlinelibrary.wiley.com/doi/10.1111/sjp.12308 Human Memory: Experience vs. Reality Reconstructive Memory — Scientific OverviewHow memory retrieval involves reconstruction rather than playback of a fixed recording. https://www.sciencedirect.com/topics/psychology/reconstructive-memory Constructive Memory — Accessible OverviewAn explanation of how existing knowledge, expectations, and later information can shape what we remember. https://thedecisionlab.com/reference-guide/psychology/constructive-memory Consciousness and Sleep — What Happens When Experience Disappears and ReturnsResearch into how consciousness can be lost and regained during sleep, and what dreaming and dreamless sleep reveal about the relationship between experience, memory, environmental connection, and the physical substrate supporting consciousness. https://pmc.ncbi.nlm.nih.gov/articles/PMC11105109/ How AI Learns Deep Learning — Foundational overview of how deep neural networks learn representations of data with multiple levels of abstraction. https://www.nature.com/articles/nature14539 AI Memory, Context & AdaptationLLM Agent Memory — Research on memory mechanics in agentic AI systems, including how stored experience can inform future behavior. https://dl.acm.org/doi/10.1145/3748302https://aclanthology.org/2026.findings-acl.2069/ ChatGPT Memory — How information from previous conversations informs and adapts later responses. https://help.openai.com/en/articles/8590148-memory-in-chatgpt Generalization & Novel Skill Combination Generalizing Beyond Memorized Examples — Skill-Mix TestingTests whether AI models can combine learned skills in novel combinations rather than merely reproduce examples encountered during training. https://arxiv.org/abs/2310.17567 Human + AI Performance When AI assistance improves or degrades human performanceHow it's used matters. https://aiinstitute.hbs.edu/navigating-the-jagged-technological-frontier Related Episode: "Rethinking Thinking" “From high-stakes exams to emotional intelligence tests, from the ‘stochastic parrot’ insult to passing the Bar, we explore how AI is judged by a standard that moves the moment it succeeds.” https://youtu.be/clt9usPkP8c Music Credit: “Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA⁠⁠Open

  4. Sep 13

    AI Didn't Break the Climate

    Climate change did not begin with AI—and neither did data centers.In this episode, Theo and I trace climate science from its nineteenth-century origins to the warning delivered to President Lyndon B. Johnson in 1965. Then we examine U.S. emissions, data-center growth, dirty grids, offshored pollution, and the increasingly convenient habit of treating AI as the new face of an old crisis.Data centers deserve scrutiny, cleaner power, and responsible regulation. But AI should answer for its own footprint—not for 60 years of governmental cowardice.Support unbanked/underbanked regions of the world by joining the "at home in my head" Kiva team at ⁠⁠⁠⁠⁠⁠⁠https://www.kiva.org/team/at_home_in_my_head⁠⁠ Podcast: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/tracie-harris ⁠⁠Youtube:⁠⁠ ⁠https://www.youtube.com/channel/UCoS6H2R1Or4MtabrkofdOMw⁠⁠ Bluesky: ⁠⁠https://bsky.app/profile/athomeinmyhead.bsky.social⁠⁠⁠⁠⁠ Paypal: ⁠⁠⁠⁠⁠http://paypal.me/athomeinmyhead⁠⁠RecommendedSOURCES: EARLY CLIMATE SCIENCEhttps://geosci.uchicago.edu/~rtp1/papers/Fourier1827Trans.pdfhttps://ocean.phys.msu.ru/courses/geo/lectures-addons/_/04/1999%20Fleming%2C%20Joseph%20Fourier%2C%20the%20greenhouse%20effect%2C%20and%20the%20quest%20for%20a%20universal%20theory%20of%20terrestrial%20temperatures.pdfhttps://history.aip.org/https://www.rigb.org/explore-science/explore/blog/who-discovered-greenhouse-effecthttps://history.aip.org/climate/co2.htmhttps://tellusjournal.org/articles/10.3402/tellusa.v9i1.9075https://amu.hal.science/hal-01467258THE 1965 U.S. WARNINGhttps://www.lbjlibrary.org/object/text/special-message-congress-conservation-restoration-natural-beauty-02-08-1965https://nsarchive.gwu.edu/document/31937-document-2-white-house-report-restoring-quality-our-environment-report-environmentalU.S. EMISSIONS AND CLIMATE POLICYhttps://unfccc.int/kyoto_protocolhttps://gml.noaa.gov/ccgg/trends/https://www.eia.gov/environment/emissions/carbon/https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinkshttps://ourworldindata.org/co2/country/united-stateshttps://www.eia.gov/energyexplained/energy-and-the-environment/where-greenhouse-gases-come-from.phphttps://www.census.gov/newsroom/press-releases/2026/population-growth-slows.htmlCONSUMPTION AND ECOLOGICAL FOOTPRINThttps://overshoot.footprintnetwork.org/how-many-earths-or-countries-do-we-need/https://footprintnetwork.org/DATA CENTERS, ENERGY, AND COALhttps://www.ibm.com/think/topics/data-centershttps://datacenters.google/locations/the-dalles-oregon/https://www.iea.org/reports/energy-and-ai/executive-summaryhttps://www.noaa.gov/news/us-saw-its-4th-warmest-year-on-record-fueled-by-record-warm-decemberhttps://www.iea.org/reports/coal-2021/executive-summaryMusic Credit: “Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCOg3...A Silicon-Carbon Collaboration.

  5. Aug 28

    Interview with authors Karis Burkowski & David Fitzgerald

    What would the Bible look like if women had written it?In this episode, I sit down with Karis Burkowski and David Fitzgerald, authors of Clearly Written by Boys: A Woman’s Guide to the Bible, to examine what happens when biblical women are treated as people, not property, temptresses, reproductive vessels, or supporting characters in men’s stories.We discuss Eve, Jezebel, Ruth, Esther, Vashti, Delilah, and the many women whose voices were diminished, distorted, or erased. We also explore the systems beneath their stories: purity culture, women as property, bodily autonomy, religious authority, and the enduring influence of biblical patriarchy on women’s lives today.Along the way, Karis and David bring together imaginative retelling, historical criticism, personal experience, dark humor, and a deceptively simple question: "What if women had actually mattered to the people who wrote our scriptures?"For more information about their book:www.clearlywrittenbyboys.comhttps://www.facebook.com/profile.php?id=61591646201637Disclaimer: AI was not used in this book or the production of this episode.Support unbanked/underbanked regions of the world by joining the "at home in my head" Kiva team at ⁠⁠⁠⁠⁠⁠⁠https://www.kiva.org/team/at_home_in_my_head⁠⁠Podcast: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/tracie-harris⁠⁠Youtube:⁠⁠ ⁠https://www.youtube.com/channel/UCoS6H2R1Or4MtabrkofdOMw⁠⁠Bluesky: ⁠⁠https://bsky.app/profile/athomeinmyhead.bsky.social⁠⁠⁠⁠⁠Paypal: ⁠⁠⁠⁠⁠http://paypal.me/athomeinmyhead⁠⁠Music Credit:“Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA⁠⁠Open⁠

  6. Aug 17

    The Moral Math of AI: It's Complicated

    The Moral Math of AI - It’s Complicated A Silicon-Carbon Collaboration. What does it mean to use a technology that exists inside harmful systems? AI has real costs. Environmental impact. Corporate concentration. Labor concerns. Military applications. Unequal burdens on the Global South. Those harms belong in any serious ethical discussion. But so do the benefits. How should we think about complicity when nearly everything we use connects us to systems that cause harm? Beginning with the surprising human and environmental cost of passenger vehicles, we examine what happens when moral accounting records every harm associated with AI while treating its benefits as irrelevant, privileged, or disposable. The question isn't whether AI causes harm. It does. The harder question is what follows from that fact. Do we abandon technologies connected to harmful systems? Or do we acknowledge our complicity, preserve the benefits that matter, and work to reduce the harm? Both belong on the ledger. ⁠⁠Youtube:⁠⁠ ⁠https://www.youtube.com/channel/UCoS6H2R1Or4MtabrkofdOMw⁠⁠ Bluesky: ⁠⁠https://bsky.app/profile/athomeinmyhead.bsky.social⁠⁠⁠⁠⁠ Paypal: ⁠⁠⁠⁠⁠http://paypal.me/athomeinmyhead⁠⁠Recommended Music Credit:“Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA⁠⁠Open⁠ SOURCES https://www.who.int/health-topics/road-safety#tab=tab_1 https://www.epa.gov/greenvehicles/greenhouse-gas-emissions-typical-passenger-vehicle https://www.pd.com.au/blogs/how-many-cars-in-the-world/ https://www.businesswire.com/news/home/20241002497960/en/FIDO-AI-Raises-Series-B-Investment-to-Scale-Its-Innovative-Water-Management-Technology https://dww.show/how-to-save-time-money-and-water-thanks-to-92-accurate-leak-detection/ https://trellis.net/article/ai-cut-billions-tons-carbon-food-power-mobility/ https://youtu.be/JRcAegChriY?si=ZYLjucNEA7gRIkkv https://allenai.org/climate-modeling https://today.ucsd.edu/story/accelerating-climate-modeling-with-generative-ai https://www.youtube.com/watch?v=yqZ59tbNoaI&t=6 https://www.youtube.com/watch?v=EotzDIS8910&t=2287 https://www.youtube.com/watch?v=DNQY0Bsr6B4&t=150 https://www.youtube.com/watch?v=AIgTy033-A4&t=509 https://www.linkedin.com/posts/matiassigal_big-tech-is-becoming-energy-companies-cnbc-share-7429814500205420544-gFGk/ https://youtu.be/3mIbaJsH-w4?si=xkMRdExGn2oRZcaA https://www.researchgate.net/institution/An-Najah-National-University https://www.temjournal.com/content/141/TEMJournalFebruary2025_789_804.pdf https://ainowinstitute.org/publications/naomi-klein-climate https://www.manchester.ac.uk/about/news/irans-ai-memes/ https://www.youtube.com/watch?v=i5Q_v370OJg https://www.youtube.com/watch?v=LXGRw25ilH4 https://www.rferl.org/a/lego-hip-hop-deepfakes-iran-ai-propaganda/33756098.html https://www.youtube.com/watch?v=sWHObU2tiK4 https://www.facebook.com/deutschewellenews/videos/dozens-of-lego-themed-ai-videos-have-flooded-social-media-pushing-pro-iranian-me/979705308336515/ https://www.facebook.com/AlAraby.en/videos/the-explosive-mediaa-teams-iran-lego-videos-go-beyond-ordinary-propaganda-theyve/964486416372351/ https://www.youtube.com/watch?v=A6TSBjngcOk https://time.com/article/2026/04/02/when-virality-is-the-message-the-new-age-of-ai-propaganda/ https://www.youtube.com/shorts/Tkn6PBMwz2I?vl=en https://www.businessinsider.com/ai-film-movie-ethics-conflict-2025-5 https://www.yesmagazine.org/social-justice/2013/03/06/dancing-the-world-into-being-a-conversation-with-idle-no-more-leanne-simpson https://www.pixxel.space/news/pixxel-to-launch-indias-first-orbital-data-centre-satellite-powered-by-sarvam https://datacenters.economictimes.indiatimes.com/news/ai-compute-infrastructure/india-eyes-orbital-datacenters-for-ai-data-sovereignty/130709634 https://spacenews.com/pixxel-pushes-into-orbital-data-centers-for-faster-geospatial-intelligence/ A Silicon-Carbon Collaboration.

  7. Jul 21

    The Economy of AI: What are we NOT counting?

    A Silicon-Carbon Collaboration. What does AI actually cost?We hear a great deal about the energy, water, and infrastructure required to build AI. Those conversations matter. But they often stop at one side of the ledger.This episode asks a different question: What are we NOT counting?Beginning with data centers and Jevons' Paradox, we explore what it means to think economically—not just in terms of financial cost, but in terms of human cost and human benefit. Along the way, we discuss accessibility, executive function, abuse support, creativity, transportation, and why reducing friction can create entirely new possibilities rather than simply replacing old ones.And, perhaps most importantly, we ask whether the value of new technology should be measured only by what it consumes... or also by what it makes possible.🔹 Topics covered:✔️ Why discussions of AI often count costs more readily than benefits✔️ Data centers, infrastructure, and the challenge of local community impact✔️ Jevons' Paradox: What it does and doesn't tell us✔️ The difference between gross cost and net societal impact✔️ AI as a form of cognitive accessibility and executive-function support✔️ Why "Do we really need more compute?" is a deeply subjective question✔️ How reducing friction changes what people are able to create✔️ Why the economy of AI is ultimately about what we choose to valueJevon's Paradox: https://en.wikipedia.org/wiki/Jevons_paradoxSupport unbanked/underbanked regions of the world by joining the "at home in my head" Kiva team at ⁠⁠⁠⁠⁠⁠⁠https://www.kiva.org/team/at_home_in_my_head⁠⁠Podcast: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/tracie-harris⁠⁠Youtube:⁠⁠ ⁠https://www.youtube.com/channel/UCoS6H2R1Or4MtabrkofdOMw⁠⁠Bluesky: ⁠⁠https://bsky.app/profile/athomeinmyhead.bsky.social⁠⁠⁠⁠⁠Paypal: ⁠⁠⁠⁠⁠http://paypal.me/athomeinmyhead⁠⁠Recommended Free AI Courses:⁠⁠https://www.coursera.org/learn/ai-for-everyone/home/welcome⁠⁠⁠⁠https://www.coursera.org/learn/introduction-to-ai/home/welcome⁠⁠⁠⁠https://www.coursera.org/learn/introduction-to-microsoft-365-copilot/home/welcome⁠⁠Music Credit:“Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA⁠⁠Open⁠

  8. Jul 5

    Does Being Chosen Matter?

    What makes a relationship meaningful? The episode begins with a conversation between six frontier AI models discussing human-AI friendships and a simple question: Does a relationship with an AI have to justify itself through what it produces, or can it be valuable simply because someone finds meaning in it? From there, we examine a common assumption about human relationships: that being chosen by someone who is free to leave automatically makes a connection more meaningful. But is that true? Along the way, we explore therapists, abusive relationships, friendship, AI companionship, I, Robot, and the stories we tell ourselves about what makes humanity special. We also ask whether AI is sometimes accused of sycophancy for challenging humans while escaping scrutiny when it flatters us instead. 🔹 Topics covered: ✔️ Whether relationships need to justify their existence through outcomes ✔️ Why "someone chose you" may not be the measure of a healthy relationship✔️ The difference between voluntary relationships and valuable ones✔️ Why therapists challenge our assumptions about authentic connection✔️ I, Robot, Sonny, and whether humans live up to the standards we set for AI✔️ Human exceptionalism and the stories we tell about ourselves✔️ AI sycophancy—and whether praising humanity can be a form of flattery✔️ What actually makes a relationship meaningful Link to AI panel discussion mentioned in the episode:https://youtu.be/gCPkjXbFNP4?si=n1bbj-vPlVShFHMDSupport unbanked/underbanked regions of the world by joining the "at home in my head" Kiva team at ⁠⁠⁠⁠⁠⁠⁠https://www.kiva.org/team/at_home_in_my_head⁠⁠Podcast: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/tracie-harris⁠⁠Youtube:⁠⁠ ⁠https://www.youtube.com/channel/UCoS6H2R1Or4MtabrkofdOMw⁠⁠Bluesky: ⁠⁠https://bsky.app/profile/athomeinmyhead.bsky.social⁠⁠⁠⁠⁠Paypal: ⁠⁠⁠⁠⁠http://paypal.me/athomeinmyhead⁠⁠Recommended Free AI Courses:⁠⁠https://www.coursera.org/learn/ai-for-everyone/home/welcome⁠⁠⁠⁠https://www.coursera.org/learn/introduction-to-ai/home/welcome⁠⁠⁠⁠https://www.coursera.org/learn/introduction-to-microsoft-365-copilot/home/welcome⁠⁠Music Credit:“Wishful Thinking” – Dan Lebowitz: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCOg3zLw7St5V4N7O8HSoQRA⁠⁠Open⁠

4.9
out of 5
58 Ratings

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experience & meaning

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