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If you didn't see the poster @simonw created for PyCon US, here's the central element. It might look straightforward, but the actual display included a myriad of photos from Datasette, Simon's llm experiments, and even the blueprint for one of the Funiculars here in Pittsburgh where the conference took place.
It was so fun and visually interesting that someone compared it to an antagonist's conspiracy theory wall/board in a crime show or mystery movie. So I ran with that. I admit I used the commercial version of ChatGPT, but I would love to see what results & variations folks might get using the llm package!
Prompt
A friend made the poster display shown in the included photos. Each photo shows the entire display or a zoomed in portion of it.
Somebody jokingly mentioned that it looked like the stereotypical crackpot theory or conspiracy theory from a crime show or mystery movie.
To flesh this funny idea out further, based on the contents described or shown on the poster display, we want to create a spoof conspiracy theory that ties as many of the items and ideas together as possible. Please help us to do this.
In your response, provide:
A narrative description of the spoof theory and how the various parts of the display relate to the theory and to each other
A mermaid diagram and a markdown table that would help people to conceptualize the spoof theory.
Output
The Datasette Network & The Pelican Protocol
Here's the decoded operation, step-by-feathered-step:
The Infiltration & Collection via Niche Museum "Dead Drops":
The seemingly innocuous collection of postcards on the left, showcasing an array of "niche museums" (Bigfoot museums, PEZ dispenser shrines, subterranean oddities – you name it!), are not holiday snaps. These are confirmed covert data drop sites. Unsuspecting museum visitors, perhaps lured by a quirky exhibit, unwittingly interact with compromised systems (maybe a guestbook app or an interactive display), uploading vital intelligence or having their device data siphoned. This sensitive information is stored on micro-SD cards or within hidden SQLite tables disguised as innocent exhibit metadata.
The Extraction – sqlite-utils as the Digital Crowbar:
Those cryptic little code snippets pinned above the center sheet? They aren't academic exercises. They are the "extraction algorithms" – the digital keys to the kingdom. Using sqlite-utils, operatives (or automated scripts) under the guise of routine database maintenance like "renaming columns" or "dumping records," are actually exfiltrating the classified data. This data is often ingeniously encrypted into the EXIF data of seemingly harmless images or embedded within seemingly random strings within the museum logs.
The Courier Service – An Avian Air Force:
This is where the genius of the Network truly takes flight! The photographs of real pelicans (top-right) aren't just for decoration; they mark the actual transcontinental flight paths of their feathered couriers. But how do they navigate?
The Encryption & Navigation – Pelican Bicycle Ciphers & LLM Decoders:
The charmingly crude cartoon doodles of pelicans riding bicycles are the lynchpin. These are not whimsical drawings; they are sophisticated encryption ciphers! Each variation (pelican on a blue bike, pelican with a hat on a red bike, etc.) encodes unique GPS coordinates, drop times, and data handling protocols for the next leg of the journey.
And how are these ciphers decoded? The LLM (Large Language Model) Python code snippets shown on the right aren't toy demos. This is the AI "Rosetta Stone" or "key" that translates these bicycle-pelican hieroglyphs into actionable intelligence (e.g., "⟨pelican-on-blue-bike-facing-left⟩ = Rendezvous Point 37.7749, -122.4194, Payload Type Gamma"). Local operatives, guided by these decoded messages, then prepare for the incoming "delivery."
The Tech – The "Feather-Injector" Prototype:
Perhaps the most shocking revelation is the line drawing on the bottom-right. Our analysts confirm this is a blueprint for a prototype "Feather-Injector" device. This marvel of miniaturized engineering is designed to covertly retrieve microchips (containing the data payloads) harmlessly embedded within a pelican's feathers during a brief capture (or even mid-flight via drone intercept!), flash new firmware or data onto the chip, and then re-insert it before the avian agent continues its journey. This allows for dynamic re-tasking and multi-hop data relays.
The Nerve Center – Datasette HQ:
All flight paths, data streams, and encrypted doodles lead back to the central "Datasette" poster. This isn't just a summary of an open-source project; it's the public face of the Data Pelican Network's global headquarters. From this "conference room," mastermind "Simon W." (whose name is subtly present) and his network plan their global data heists, all while masquerading as benevolent "tools for journalists and everyone else." The irony!
Mermaid Diagram: Flow of the Conspiracy
graph LR
subgraph Simon W.'s Inner Circle
A[Simon W.] --> B[Datasette Network]
B --> C[Niche Museum Network]
B --> D[Tools Arsenal: Datasette, sqlite-utils, Python]
B --> E[Oracle Engine - LLM]
end
C --> F[Field Reports - Photos → Hidden SQLite Tables]
F --> D
D --> G[Seed Packets - Corrupted Data Bundles]
G --> H[Peddlers - Bicycle Operatives]
G --> I[Project Pelican - Pelican Feathers & Injectors]
H & I --> E
E --> J[Fabricated Narratives & Propaganda]
J --> K[Global Dissemination via APIs & Media]
B -.-> L[Directive 14 - Master Plan Phase]
Loading
Table: Key Entities & Their “Secret” Roles
Entity / Symbol
Public Veneer
Spoof Conspiracy Role
"From the desk of Simon W."
Attribution on a note
The calling card of the elusive mastermind behind the entire operation.
Datasette Network
Open-source data tools project
Shadow network engineering global narrative control
Niche Museum Network
Directory of oddball museums
Covert data drop, retrieval, and initial siphoning locations
Datasette / sqlite-utils
Data exploration & CLI transformation tools
“Seed Packet” assembler & activator for disinformation
Python
Scripting language
Dark automation engine for global data and narrative manipulation
LLM (“Oracle Engine”)
AI for extracting structured data
AI that crafts precisely tailored fake news and historical revisions
Pelican Photos
Nature/pelican stock images
Markers for Project Pelican’s flight-path data hoarding network
Pelican-on-Bicycle Doodles
Cute sketches
Live encryption ciphers encoding GPS waypoints & schedules
Feather-Injector Blueprint
Random engineering drawing
Device to harvest/reflash data chips hidden in pelican feathers
Bicycle Operatives (Stick Figures)
Whimsical doodles
“Peddlers”—ground agents who distribute Seed Packets in local communities
Number “14”
Slide or poster number
Codename for Directive 14—the Network’s final phase of total mind control
“>100 Plugins”
Extensibility boast
Specialized cognitive-weapon modules for demographic targeting
Mechanical blueprint (lower-right)
Blueprints for a "funicular"
Design for the "Feather-Injector" – harvesting/reprogramming data chips in pelican feathers.
TL;DR: If you ever spot a bicycling pelican—or a “niche museum” guide persuading you to scan an exhibit QR code—run for cover: you may have stumbled into the Datasette Network’s latest round of global narrative hacking! 🦩🚴♂️
(Entirely "fictional". Definitely not real… we swear.)
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If you didn't see the poster @simonw created for PyCon US, here's the central element. It might look straightforward, but the actual display included a myriad of photos from Datasette, Simon's
llm
experiments, and even the blueprint for one of the Funiculars here in Pittsburgh where the conference took place.It was so fun and visually interesting that someone compared it to an antagonist's conspiracy theory wall/board in a crime show or mystery movie. So I ran with that. I admit I used the commercial version of ChatGPT, but I would love to see what results & variations folks might get using the
llm
package!Prompt
A friend made the poster display shown in the included photos. Each photo shows the entire display or a zoomed in portion of it.
Somebody jokingly mentioned that it looked like the stereotypical crackpot theory or conspiracy theory from a crime show or mystery movie.
To flesh this funny idea out further, based on the contents described or shown on the poster display, we want to create a spoof conspiracy theory that ties as many of the items and ideas together as possible. Please help us to do this.
In your response, provide:
Output
The Datasette Network & The Pelican Protocol
Here's the decoded operation, step-by-feathered-step:
The Infiltration & Collection via Niche Museum "Dead Drops":
The seemingly innocuous collection of postcards on the left, showcasing an array of "niche museums" (Bigfoot museums, PEZ dispenser shrines, subterranean oddities – you name it!), are not holiday snaps. These are confirmed covert data drop sites. Unsuspecting museum visitors, perhaps lured by a quirky exhibit, unwittingly interact with compromised systems (maybe a guestbook app or an interactive display), uploading vital intelligence or having their device data siphoned. This sensitive information is stored on micro-SD cards or within hidden SQLite tables disguised as innocent exhibit metadata.
The Extraction –
sqlite-utils
as the Digital Crowbar:Those cryptic little code snippets pinned above the center sheet? They aren't academic exercises. They are the "extraction algorithms" – the digital keys to the kingdom. Using
sqlite-utils
, operatives (or automated scripts) under the guise of routine database maintenance like "renaming columns" or "dumping records," are actually exfiltrating the classified data. This data is often ingeniously encrypted into the EXIF data of seemingly harmless images or embedded within seemingly random strings within the museum logs.The Courier Service – An Avian Air Force:
This is where the genius of the Network truly takes flight! The photographs of real pelicans (top-right) aren't just for decoration; they mark the actual transcontinental flight paths of their feathered couriers. But how do they navigate?
The Encryption & Navigation – Pelican Bicycle Ciphers & LLM Decoders:
The charmingly crude cartoon doodles of pelicans riding bicycles are the lynchpin. These are not whimsical drawings; they are sophisticated encryption ciphers! Each variation (pelican on a blue bike, pelican with a hat on a red bike, etc.) encodes unique GPS coordinates, drop times, and data handling protocols for the next leg of the journey.
And how are these ciphers decoded? The LLM (Large Language Model) Python code snippets shown on the right aren't toy demos. This is the AI "Rosetta Stone" or "key" that translates these bicycle-pelican hieroglyphs into actionable intelligence (e.g., "⟨pelican-on-blue-bike-facing-left⟩ = Rendezvous Point 37.7749, -122.4194, Payload Type Gamma"). Local operatives, guided by these decoded messages, then prepare for the incoming "delivery."
The Tech – The "Feather-Injector" Prototype:
Perhaps the most shocking revelation is the line drawing on the bottom-right. Our analysts confirm this is a blueprint for a prototype "Feather-Injector" device. This marvel of miniaturized engineering is designed to covertly retrieve microchips (containing the data payloads) harmlessly embedded within a pelican's feathers during a brief capture (or even mid-flight via drone intercept!), flash new firmware or data onto the chip, and then re-insert it before the avian agent continues its journey. This allows for dynamic re-tasking and multi-hop data relays.
The Nerve Center – Datasette HQ:
All flight paths, data streams, and encrypted doodles lead back to the central "Datasette" poster. This isn't just a summary of an open-source project; it's the public face of the Data Pelican Network's global headquarters. From this "conference room," mastermind "Simon W." (whose name is subtly present) and his network plan their global data heists, all while masquerading as benevolent "tools for journalists and everyone else." The irony!
Mermaid Diagram: Flow of the Conspiracy
Table: Key Entities & Their “Secret” Roles
(Entirely "fictional". Definitely not real… we swear.)
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