
You're Going to Be Fine
Free audiobook for anyone worried about AI taking their job
What it does
A free audiobook for anyone lying awake at night worried about AI taking their job. An unconventional guide to the AI Revolution and the Future of Work. No signup required - just press play! Fully up to date with mentions of OpenClaw, Moltbook, Kling 3.0, x402 and much more :)
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- LFLooking for Feedback on My “Computer Science Fiction” Novel Blue Screen2023 · ▲60
This has been my Covid burnout project and I would love any thoughts or input, especially about the Bash code. I just am finishing the first chapter of the audiobook and would love any thoughts, positive or negative. The full pdf here: https://KyleBenzle.com/BlueScreen.pdf Free first chapter of the audiobook: https://soundcloud.com/landgrant/blue-screen-chapter-1 Giving away the Amazon ebook: https://www.amazon.com/dp/B084GHLYSX Blurb: Peter Gustafson wants to save the world. In the year 2984, Peter is an average kid with a secret; he’s…

- ETeBook to audiobook narration with realistic AI voicesJun 2026 · ebookaloud.com · ▲8
For a while I've wanted to try out the new AI voices for long-form narration, but everything I found required a subscription that didn't justify my limited usage. I came across the open Kokoro model [0] and the voices are very good -- good enough to listen to for hours without the fatigue I got from legacy, robotic TTS voices. The model is 82m parameters and designed to run fast, but I still struggled to get reasonable times from CPU inference on my 12-core laptop. I thought a cloud-based GPU service would let me generate audiobooks fast enough to feed my own self-hosted library, and that…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

