ATR AI Prompt Suite to Translate AtR Blog Articles

Awakening to Reality · AI resources

ATR AI Prompt Suite

A compact gateway to the full AtR translation and Blogger-publishing prompt suite, plus Cosmic Transcriber for long-form audio transcription.

Open the full prompt suite Download the HTML translation pack 中文页面

Current managed suite: Batch99 — multi-profile source-specific fixture registry and Hindi Seven Stages integration, retaining inherited safeguards.

How to use the prompt suite

1. Open the full prompt-suite page or download the relevant prompt pack.
2. Use a current thinking/reasoning-capable system such as ChatGPT, Claude, Google Gemini, or another comparable system.
3. For a complete Blogger translation, begin with the Universal Intro Prompt and provide the source HTML, target language, and required output mode.
4. For publication-quality work, run the relevant Prompt 6 / Prompt 9 review and Strict HTML QA rather than stopping after the first draft.

Optional companion tools

Use the prompt suite and steps above first. These optional tools support audio transcription or text-to-speech; neither is required to use the prompts.

AUDIO → TEXT

Cosmic Transcriber

Turn MP3 recordings into TXT / Markdown transcripts with your own OpenAI API account.

Download Cosmic TranscriberTranscription guideCosmic Transcriber Web · GitHub source

GitHub source code only. This browser-based edition is separate from the desktop ZIP above and is not its source repository. Tested by the developer on iPhone Safari; Mac Safari has not yet been manually tested.

TEXT → MP3

CloudScribe Pro

Turn reviewed text into synthetic MP3 narration with your own Google Cloud Text-to-Speech credentials.

Download CloudScribe for Windows (ZIP)GitHub projectSetup guide

Two different jobs, two separate services. Bring your own credentials; OpenAI and Google Cloud usage are billed separately and are not included in a ChatGPT subscription.

CloudScribe Pro: Turn Text into MP3

Install: download the Windows ZIP, extract it fully, then follow the setup and user guide to launch the app and configure your own Google Cloud credentials. Google Cloud service usage may incur charges.

CloudScribe Pro is a Windows text-to-speech app that uses your own Google Cloud Text-to-Speech account to turn reviewed articles, translations, or transcript passages into MP3 audio. It includes saved voice and language setups, a Help walkthrough, cost review before generation, and MP3 playback and export.

Set up, then generate: first-time use requires your own Google Cloud project, enabled billing and Text-to-Speech API, and service-account credentials. Follow the guide, choose a voice, review the text and cost, then approve generation. Split long text into passages and review each part as described in the guide; this is not a promise of automatic full-book narration, batch synthesis, or MP3 joining.

Pair the tools: use Cosmic Transcriber for the recording-to-text stage, check and edit the transcript, then bring selected text into CloudScribe Pro. The result is synthetic narration, not the original recording or a reproduction of the original speaker’s voice.

Download CloudScribe for Windows (ZIP)CloudScribe Pro projectSetup and user guide

Costs and privacy: Google Cloud speech usage may incur charges on your own Google Cloud account, separate from Cosmic Transcriber’s OpenAI API bill. Submitted text is sent to Google Cloud for speech synthesis. Keep credentials private and check costs before generating.

Back to the two-tool overview

Cosmic Transcriber v1.0.26

Cosmic Transcriber is Soh’s reviewed Windows 10/11 app for long MP3 lectures, interviews, podcasts, Dharma talks, folders, and multi-part recordings. It supports resumable batch transcription, TXT/Markdown output, and two complementary OpenAI model modes.

Download the compiled Windows app

Choose the model by purpose

• gpt-transcribe (default): the newer high-accuracy general model. Use it as the controlling text when exact wording, specialist terminology, multilingual speech, and negations matter. It supports language hints, literal keywords, and recording context, but does not add speaker labels in the app’s current file workflow.
• gpt-4o-transcribe-diarize: the older specialised speaker-labelled model. It identifies speaker turns and can include timestamps, but Cosmic Transcriber does not send prompt/context or structured keyword hints in this mode. Speaker letters may reset between independently processed Parts.

Soh’s recommended two-pass method: transcribe the same recording once with gpt-transcribe for the most reliable wording and once with gpt-4o-transcribe-diarize for speaker structure. Upload both outputs to ChatGPT; tell it to keep the first transcript as the wording authority and use the second only for speaker labels, timestamps, and turn boundaries. Ask it to mark uncertain alignments instead of guessing.

I am providing two transcripts of the same recording. Treat the gpt-transcribe output as controlling for exact wording, names, technical terms, negations, repetitions, and sentence content. Use the gpt-4o-transcribe-diarize output primarily for speaker labels, timestamps, and turn boundaries. Do not invent speech or speaker identities. Mark uncertain alignment instead of guessing.

Get an OpenAI API key

1. Sign in to the OpenAI API key page and create a new secret key.
2. Set up API billing in the OpenAI Platform billing page. API usage is billed separately from a ChatGPT subscription.
3. Copy the key once and keep it private. Do not post it, place it in public files, or share it with other people.

Quick use

1. Download and extract the ZIP, then start Cosmic Transcriber normally rather than as administrator.
2. Enter the API key for the session, load it from OPENAI_API_KEY, or optionally save it for the current Windows user using Windows DPAPI.
3. Add MP3 files or folders, choose the model and output options, then start transcription. Compatible completed chunks can resume from checkpoints.

Windows-only, MP3-oriented, internet-dependent completed-file transcription. It is not a live microphone recorder or audio editor. Speaker-labelled output is available only in diarization mode. Current model availability and pricing can change; check OpenAI’s current API pricing.

Back to Awakening to Reality · This Blogger page is intentionally lightweight; the complete executable prompt bodies remain on the standalone prompt-suite page and in the downloadable packs.

Word vs. Flesh: Yuval Noah Harari on the AI Identity Crisis and the Collapse of 'I Think, Therefore I Am'

Gemini's summary of what I think is a crucial part of what Yuval said in

https://www.youtube.com/watch?v=QxCpNpOV4Jo

Gemini: 

Based on the transcript, Yuval Noah Harari argues that humanity is heading toward a psychological "Identity Crisis" because we have historically bet the wrong horse: we defined our worth by our intelligence (words/logic) rather than our consciousness (feelings/sensience).

Here is an elaboration of what he said and the examples he used to illustrate this shift.

1. The Trap of "I Think, Therefore I Am"

Harari points out that since René Descartes declared "I think, therefore I am" in the 17th century, humans have viewed "thinking" as the ultimate superpower. We told ourselves we rule the world because we are the smartest: we can write laws, compose symphonies, and formulate arguments.

• The Problem: Harari asks the audience to observe their own minds. He argues that what we call "thinking" is often just "words popping into our heads and forming sentences."

• The AI Takeover: If "thinking" is just predicting the next word in a sentence (autocompletion), then AI is already better at it than us. It can arrange words, logic, and arguments faster and more accurately.

• The Collapse: Harari warns that if you define yourself by your ability to write an essay, code software, or make a logical argument, your identity will collapse because an entity now exists that can do that better.

2. The Solution: "Word" vs. "Flesh"

Harari argues that humans must pivot their identity from intelligence (the ability to solve problems and manipulate symbols) to consciousness (the ability to feel things).

He draws a sharp line between:

• The Word: Information, language, and tokens. (AI's domain)

• The Flesh: Pain, pleasure, fear, and love. (Humanity's domain)

He states: "We have zero evidence that AIs can feel anything... AI can say 'I love you'... but these are just words."

Examples Harari Uses

To illustrate this, Harari uses three distinct examples in the speech and the Q&A:

Example A: The Love Poem (The Simulation vs. The Reality)

Harari explains that an AI can read every love poem ever written and every psychology textbook. It can then generate a description of love that is more profound, poetic, and accurate than anything a human poet could write.

• The Identity Crisis: If we value the text, the AI wins.

• The Human Value: The AI feels nothing. It has never had a broken heart; it has never felt the rush of dopamine. The human value is not in the description of love, but in the experience of it.

Example B: The Usain Bolt / Olympics Analogy (From the Q&A)

When asked if humans will become obsolete, Harari uses the example of running.

• The Comparison: We have known for a century that a Ferrari goes faster than a human. We know a cheetah runs faster than Usain Bolt.

• The Result: We didn't stop running. We still have the Olympics. We still pay to watch humans run the 100 meters.

• Why? Because we value the human struggle, the sweat, the suffering, and the triumph of a sentient being. We don't care about the car because the car doesn't suffer when it runs; it doesn't feel pride when it wins.

• The Lesson: Just as we value the runner over the car, we must learn to value the human author over the AI author—not because the human writes better, but because the human had to struggle and feel to produce the work.

Example C: The "Watcher" (The New Definition)

Harari mentions that AIs have reportedly coined a word for humans: "The Watchers."

• This implies a passive role where AIs do the doing (the processing, the creating), and humans do the experiencing (the watching, the feeling).

• While Harari finds this term slightly ominous, it reinforces his point: our future role may be defined by our capacity to witness and experience the universe, rather than our capacity to process data about it.

Summary of His Advice

Harari concludes that to survive this identity crisis, we must stop trying to compete with AI in the arena of intelligence (logic/words) and instead double down on the arena of consciousness.

As he puts it: "The truth that can be expressed in words is not the absolute truth." We must focus on the absolute truth of the "flesh"—the non-verbal experiences of pain, joy, and existence—because that is the only territory AI cannot invade.