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  • You Already have AI

    Steve Wozniak
    Steve Wozniak Speech

    Apple co-founder Steve Wozniak famously told graduates at Grand Valley State University that they already possess “AI,” which stands for “Actual Intelligence”. Instead of praising artificial intelligence, he emphasized that human creativity, critical thinking, and emotional understanding are far more valuable than any dry or perfect machine. 

    While other commencement speakers—such as former Google CEO Eric Schmidt—were booed by students for praising artificial intelligence, Wozniak was met with roaring applause. He has previously noted that he finds current AI disappointing because it lacks genuine human understanding, preferring organic intelligence over the hype surrounding generative tech. 

  • From Running AI remote to AI running on my PC

    local big GPU card running AI
    local big GPU card running AI
    • buy a GPU (not nvidia so it’s cheaper)
    • fix the GPU (broken fan, replace)
    • start working in claude code AI (amazing!)
    • focusing on daily consistent time with AI work
    • learning how to code with local AI (prompt coding)
    • use LM Studio (ai framework)
    • LM Studio sort of works, sort of doesn’t (3 different PCs to test different configurations)
    • local AI with a small card is slow and dumb
    • use claude code remote to help setup a local AI GPU
    • new ubuntu release using Apple unified memory
    • old cpu, LM Studio doesn’t like
    • use claude to get local AI working without LM Studio
    • use Ollama with AMD GPU (since it’s not nvidia, requires more work to setup, but it’s cheaper)
    • use docker to simplify connecting AI gpu to llama.cpp underneath
    • use webUi as interface for web access
    • use VS Code with extension to edit file in local PC directory
    • ask a simple ?: how long does it take for Saturn to revolve once around the sun? (It actually had enough information to calculate it based on Kepler’s planetary laws of motion–it doesn’t have access to the web yet) It took 30 seconds to tell me: 29.43 years, google takes 3 seconds to pull NASA data: 29.5 years

    It takes a lot of work to get this setup working like I want to! Every line item has hours if not days of details to go with it. Right now the AI companies (like OpenAI and Anthropic) are subsidizing AI development, but at some point in the near future, heavy AI users are going to have to start paying for actual AI runtime usage, so I figure I better have something that I can use locally for easier work tasks so I won’t be paying $hundreds of dollars per month for software development.

  • Using AI to create a webpage

    Adi Da Poetry Webpage
    Adi Da Poetry Webpage

    I was listening to an old poetry recitation (on cassette) from my teacher, Adi Da Samraj, and wanted to put it on my local computer so I told AI to create a webpage from the 20 some .mp3 files I had.

    After a couple of minutes, I actually had a nicely layed out webpage that put the poems into 3 categories: Adi Da’s poetry, Dylan Thomas’s poetry, and Others poetry.

    Adi Da Poetry Recitation
    Adi Da Poetry Recitation

    I’m quite amazed that just taking the title of an audio file such as: “In The White Giant’s Thigh.mp3” it went out to the web and figured out who the author is and when and where the poem was published: “In Country Sleep (1952); Collected Poems 1934–1952 (1952)”.

  • Contributing to AI without losing your Soul

    Review of OpenAI
    Review of OpenAI

    A snippet from Journalist Karen Hao on Sam Altman, OpenAI & the “Quasi-Religious” Push for Artificial Intelligence talk on youtube.

    Talking about the Maori tribe in New Zealand wanting to get people to learn Maori to keep their language alive without big tech companies taking their intellectual property:

    (31:43 in the talk) There’s plenty of research that shows when you have highly curated small data sets you can actually create very powerful AI models and then once they had that tool they were able to do exactly what they wanted to open source this educational resource to their community.

    And so my vision for AI development in the future is to have more small task specific AI models that are not trained on vast polluted data sets but small curated datasets and therefore only need small amounts of computational power and can be deployed in challenges that we actual need to tackle for humanity … (climate change, drug discovery)

    Karen Hao wrote Empire of AI, a big book on silicon valley ambitions with AI.

    She talks about BOOMERs and DOOMERs:

    BOOMERS: it’s gonna be great! Utopia.
    DOOMERS: it’s gonna be the Terminator!

    She talks about Sam Altman as being a very Machiavellian character, who’s intent on ruling the world via Tech.

  • Everyone Is Cheating Their Way Through College

    Everyone Is Cheating Their Way Through College

    Interesting article by a guy who used ChatGpt in all his courses at Columbia. One person says: “College is just how well I can use ChatGPT at this point”.

    Let’s have ChatGpt summarize this article:

    The article “Everyone Is Cheating Their Way Through College” from New York Magazine explores how generative AI tools like ChatGPT have transformed academic cheating into a normalized and nearly untraceable phenomenon in higher education. Here’s a summary of the key points:

    Summary

    1. Roy Lee and the AI Cheating Culture

    • Columbia student Roy Lee used ChatGPT to complete around 80% of his assignments, believing academic tasks are “hackable by AI.”
    • He co-founded tools to help others cheat, including one for job interviews, and was disciplined by Columbia.

    2. Widespread AI Use Among Students

    • Nearly 90% of students surveyed in early 2023 admitted to using AI for homework.
    • Students use AI to generate essays, summarize readings, and even automate coding assignments.
    • Many students see AI as indispensable, even equating it to tutoring or note-taking help.

    3. Educator Struggles

    • Professors struggle to detect AI-generated work reliably. Even AI detectors like Turnitin produce inconsistent or biased results.
    • Teachers are unsure how to grade AI-assisted submissions and report rising frustration, burnout, and even resignations.

    4. Ethics and Academic Integrity

    • Students often don’t view AI use as cheating, especially when they contribute edits or outlines.
    • Some schools have vague or unenforced policies, leaving students to interpret what’s acceptable.

    5. Long-Term Impact

    • Experts worry that AI use undermines learning, creativity, and critical thinking.
    • There are concerns students may graduate without essential cognitive or cultural knowledge.
    • Some, like tech ethics professors, warn this trend could lead to a generation of functionally illiterate graduates.

    6. Technological Arms Race

    • Students manipulate outputs to evade AI detectors.
    • Meanwhile, companies like OpenAI market aggressively to students, while developers like Lee work on even more advanced cheating tools (e.g., Cluely, a real-time AI assistant).

    The article paints a picture of an education system being rapidly transformed by AI, with unresolved questions about ethics, efficacy, and what learning should mean in the digital age.

    Would you like a shorter version or a bullet-point takeaway list for presentations or notes?