AI Article Readings

Readings of great articles in AI voices

Readings of great articles in AI voices askwhocastsai.substack.com

  1. 2d ago

    The Sign of the Four, Chapter One: The Science of Deduction

    The technology really has moved on leaps and bounds over the last little while. We finally had a big old jump in voice quality and I think this project is worth doing. Introducing Askwho Casts The Classics! I’ve been working on these to produce full-cast with music and sound effect audiobook files that I at least find incredibly good listening. This is the complete opening chapter of The Sign of the Four, Arthur Conan Doyle’s second Sherlock Holmes novel, as a bit of a teaser, every book has a sample on the web page. https://askwhocasts.com/classics. Each book gets: * A voice for every character. * An original score, composed for the book. * Sound design throughout. To hear the rest of the story, go to https://askwhocasts.com/classics. The full novel runs four hours and twenty-one minutes, and it’s $12.99 on its own. Or get it as a set with five more classics in the Full Cast Edition, Pride and Prejudice, Oliver Twist, Alice’s Adventures in Wonderland, The Picture of Dorian Gray and The Invisible Man, all six for $49. You can also stream all six with a subscription to Askwho Casts Pro. I know I’ve still got a long way to go, but I personally feel my skills with audio landscape have come on quite a lot since the early days. I kind of wish I could go back and remaster a lot of the early stuff. I have also done a huge amount of rebuilding from the ground up of the Askwho Cast Pro service. If you’ve not taken a look for a while, please take another look. I’m going to be producing an advert in a bit but just know that if you sign up during the month of October, I’ve got another promotion running. We have 300 free credits for October. Always happy to receive feedback on any of this stuff. Get full access to Askwho Casts AI at askwhocastsai.substack.com/subscribe

  2. 5d ago

    Why I believe current AI models can really think and understand - Part 1 of 2 - By Andy Masley

    When people say AI can’t “really think,” Andy Masley argues they are often leaning on a picture of their own minds that doesn’t hold up: a little version of themselves in an inner theater, watching every thought go by. In the first of two parts, he runs a few experiments you can try on yourself, then works through split-brain patients, the hard problem of consciousness, and the leading scientific theories of the mind, to ask what thinking and understanding actually require, and whether any of it has to be conscious at all. * 00:00 - Introduction * 10:56 - How the human mind is different from our conception of it * 11:01 - Some examples of simple thought and understanding that don’t require consciousness * 16:30 - A lot of your understanding happens outside of consciousness * 19:45 - Our introspection and memory of our conscious thought are fallible * 27:16 - What about slow, careful thinking? * 29:14 - What phenomenal consciousness is * 46:21 - Access consciousness’s role in thinking * 47:15 - Global workspace theory * 50:42 - Higher-order theories * 52:08 - Attention schema theory * 53:51 - Predictive processing * 56:23 - Integrated information theory * 59:33 - These all seem to imply that the aspects of access consciousness important for thought could exist in machines * 01:00:24 - Any part of your mind that understands something is made up entirely of parts that don’t understand * 01:02:31 - Language, meaning, and consciousness * 01:10:20 - Conclusion * 01:16:39 - How this could all be wrong https://open.substack.com/pub/andymasley/p/why-i-believe-current-ai-models-can?r=67y1h&utm_campaign=post-expanded-share&utm_medium=web Get full access to Askwho Casts AI at askwhocastsai.substack.com/subscribe

    Why I believe current AI models can really think and understand - Part 1 of 2 - By Andy Masley
  3. 6d ago

    Where’s the “intelligence explosion”?

    Ramez Naam, futurist and science fiction author, gives a skeptic’s take on recursive self-improvement, introduced by Noah Smith on Noahpinion. Drawing on OpenAI’s newly released internal research data, Anthropic’s system cards, METR’s task horizons and Epoch’s capability index, he asks how strong the AI self-improvement loop really is: how much more research each gain in capability buys, where the gains leak away to diminishing returns, and what it would take for the loop to sustain itself, let alone run away into an intelligence explosion. * 00:00 - Introduction * 03:44 - 1. AI is Helping Improve Itself * 05:02 - How Strong Is the Feedback Loop? * 05:45 - Contents * 06:49 - 2. What Does RSI Mean? * 08:54 - We Already Have Narrow Superintelligence * 10:57 - 3. Real AI Research is Harder than Benchmarks or Forecasts * 13:50 - The Gap Between Benchmarks and Reality * 14:41 - From ECI Scores to METR Task Horizons * 16:16 - Measured Progress versus AI 2027 and ECI-extrapolated METR * 18:30 - 4. The Sharp Diminishing Returns to Impressive AI Numbers * 20:06 - From More Tokens to More Experiments * 23:29 - Test Time Compute Also Has Diminishing Returns * 24:29 - What About Agent Swarms? * 27:39 - 5. Better Models Matter More Than More Copies * 29:48 - 6. We’re Not Seeing Runaway Acceleration * 32:59 - Keeping Up the Pace Takes Exponentially More Resources * 36:14 - Better AI May Be Needed Just to Maintain the Pace * 37:11 - Gains on Other Benchmarks Don’t All Carry Through to Research * 38:51 - 7. Why Does Progress Get Harder? * 38:55 - Better Ideas Get Harder to Find * 41:05 - Lessons from Software R&D * 44:09 - From More Activity to Better Ideas * 44:57 - AI Still Struggles With Big Research Ideas * 46:54 - 8. The Self-Improvement Loop Doesn’t Look Strong Enough * 49:55 - How Fast Are Gains Coming Now? * 56:44 - 9. What Could Accelerate This? * 58:07 - Software, Hardware, and Economic Feedback * 01:02:46 - 10. We Need More Data * 01:06:36 - What the Future Holds https://open.substack.com/pub/noahpinion/p/wheres-the-intelligence-explosion?r=67y1h&utm_campaign=post-expanded-share&utm_medium=web Get full access to Askwho Casts AI at askwhocastsai.substack.com/subscribe

    Where’s the “intelligence explosion”?

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Readings of great articles in AI voices askwhocastsai.substack.com

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