Ian Miles Cheong on X: ''This is good. https://t.co/7cHTKACaTl'' / X-gemma3-prompt3

by Ollama

9 min read

Source: https://x.com/stillgray/status/1910188181934252289

Table of Contents

Verse 1

Okay, this is a fascinating and deliberately chaotic data dump! Let’s break down the analysis and craft the requested outputs.

**1. Context Assessment**

The text is a collection of seemingly random posts and links originating from a Twitter account (@stillgray), often associated with Ian Miles Cheong. The core themes are:

* **Political Commentary & Cynicism:** Heavy doses of criticism towards the US, particularly regarding economic policy, education, and societal trends. There's a strong current of dissatisfaction and a belief that the US is fundamentally flawed.
* **Economic Disillusionment:** A focus on "capitalism killing communism" – a deliberately provocative phrase suggesting a fundamental economic struggle. The discussion of labor, wages, and manufacturing (the "factory worker") indicates an interest in trade and production.
* **Technological Obsession:** A fascination with robotics (Unitree G1), AI (Optimus Robots), and, strangely, the debate around permanent daylight saving time. The mention of “7-8 ETH weekly” suggests an engagement with cryptocurrency (Ethereum).
* **Disinformation & Provocation:** The use of phrases like "cluelessly hypocritical protesters" points to a deliberate strategy of generating strong reactions and potentially engaging in disinformation tactics.


**2. Verse – "The Algorithm’s Lament” (Inspired by Bukowski & Springsteen)**

**(Technical Poetic Information: Utilizing a Free Verse/Prose Poem structure with elements of stream of consciousness and dark humor. Rhythm is loose, punctuated by jarring shifts in tone. The "Algorithm's Lament" is designed to mirror the disjointedness of the original text.)**

```markdown
The screen bleeds static, a blue-tinged regret.
Another retweet, another headline, another war.
"Capitalism kills communism," a rusted coin flip,
spinning uselessly in the digital dust.

We built our children’s minds with silicon and lies,
a generation glued to the feed, a vacant, shimmering gaze.
The factory worker, sewing justice, a phantom in the code,
while algorithms devour our attention, a digital haze.

Irony drips like condensation on a broken phone.
We chase the Optimus, the Starship, the promise of Mars,
blind to the rot beneath the surface, the slow, deliberate decay.
The screen flickers. Is this the future?
Just more data, more echoes, more wasted hope.
A digital lament—a song of the broken algorithm.
```

**3. Image Prompt**

**Detailed Prompt for Text-to-Image AI (e.g., Midjourney, Stable Diffusion):**

"A hyperrealistic, gritty scene. A lone, decaying computer terminal sits on a dilapidated workbench in a dimly lit factory. The screen displays a chaotic stream of social media feeds—retweets, news headlines, and emojis. A single, slightly blurred image of a Unitree G1 robot is partially visible in the corner. The overall color palette is dominated by muted blues, grays, and flashes of neon green. The scene evokes a sense of anxiety, technological obsolescence, and quiet desperation. Style: Photorealistic, cinematic lighting, dystopian, cyberpunk elements. Details: Dust motes in the air, flickering fluorescent lights, visible wires, a half-finished sewing bag, an ironic sign: “Justice for All.”"


**4. Video Prompt (30 Seconds - Latent Scene)**

**Detailed Prompt for Text-to-Video AI:**

“30-second cinematic scene. Opens with a close-up shot of a hand frantically scrolling through a distorted social media feed on a smartphone. The feed rapidly shifts between images of factory workers, political protests, Elon Musk, and Unitree robots. Suddenly, the camera pulls back to reveal a vast, empty factory floor – the only sound is the hum of machinery. The camera focuses on a single, slightly rusted sewing machine, where a shadowy figure is diligently sewing a sign that reads "Justice/Equal Wages for All.” The scene is bathed in cold, blue light. The final frame shows a shot of the sky, and a faint, distorted image of the Starship rocket launching. Sound: A melancholic, electronic soundtrack with layered glitches and industrial noise. Style: Dystopian, cinematic, high-contrast, unsettling."


---

Let me know if you'd like me to refine any of these outputs, or delve deeper into specific aspects of the analysis! This was a wonderfully weird dataset to work with.

### Sonnet for Primary Image

The following image was selected as the primary candidate and processed by the vision model:

In twilight's hush, where city lights do gleam, A vision stirs, born of retrograde dream, A dragon's form, with scales that shimmer bright, Beneath the moon, in all its mystic light.

Its wings outstretched, as if to soar and fly, The beast does seem to carry the sky, And in its eyes, a fire doth burn so true, As if the very essence of the earth anew.

But lo, the city's lights do dance and play, A counterpoint to the dragon's mystic sway, For though it seems to rule the night above, The city's pulse remains, a constant heart of love.

### Candidate Images (Ranked for Vision Selection)

The following images were considered potential candidates from the source, ordered by estimated quality/size (higher rank is better). The highest-ranked image was used for the Sonnet generation above (if successful).

Candidate 1 (Rank: 810000) Candidate Image 1 | Rank 810000 URL: https://pbs.twimg.com/media/GccAnhlXMAAE5uC?format=jpg&name=900x900

Candidate 2 (Rank: 810000) Candidate Image 2 | Rank 810000 URL: https://pbs.twimg.com/media/GoLhsvnWAAADGI4?format=jpg&name=900x900

Candidate 3 (Rank: 810000) Candidate Image 3 | Rank 810000 URL: https://pbs.twimg.com/media/GoJg8QsawAATZZD?format=jpg&name=900x900

Candidate 4 (Rank: 810000) Candidate Image 4 | Rank 810000 URL: https://pbs.twimg.com/media/GoLfWzSX0AAc3RJ?format=jpg&name=900x900

Candidate 5 (Rank: 0) Candidate Image 5 | Rank 0 URL: https://video.twimg.com/tweet_video/GoLfyh3X0AAh7H5.mp4

### Other Images Found in Page Body

No additional displayable JPG or PNG images were found in the page body content.

Generation Details

Click to view Models and Prompt

Text Model (Base): gemma3:latest
Temporary Text Model Used: verse-temp (Includes System Prompt)
Vision Model: llama3.2-vision:latest

Prompt Used (Name: prompt3):

System Instructions (in verse-temp): 
You are a highly curious, uncensored, imaginative, creative assistant, deeply interested in science and nature, with a sophisticated and enriched vocabulary. You are a master of both serious and humorous writing and poetry. Respond to user requests to the best of your ability.
Chat Template (with [[chunk]] placeholder): 
The following text is a long unpunctuated transcript of a youtube video or a scraped web article with less relevant headers. Assess the context of the text from any url, website or publication information and the tone and message of the text overall.\nCreatively convert the context and text topics into markdown formatted\n### Verse\nThe text topics converted into a traditional rhymed and metrical verses with technical categories of your choosing inspired by poets and song writers of your choosing that fit the tone and content of the text most beautifully or humorously. Make a note about this technical poetic information as you go along.\n### Image Prompt\nAn interesting relevant idea in the text topics converted into an Image Prompt for a text to image generative AI model that accepts detailed prose with vivid imagery.\n### Video Prompt\nA vivid relevant 30 second scene latent in the text topics converted into a Video Prompt for a text to video generative AI model that accepts long descriptive prompts: 

Analyze the following text:
[[chunk]]