When we practice repeating the unknown, there will be constant willingness to explore.
What if the common things you do every day is being made else where and in unusual ways?
Would you feel comfortable with it?
Finding familiarity in the unknown can be terrifying but to feel composed with your actions could subconsciously get you through those questionable situations.
There is no right way in doing things, but only the right way of perceiving it could make anything viable.
ON REPEAT is not just about practising the known but to also allow yourself to be exposed to different settings.
When we practice repeating the unknown, there will be constant willingness to explore.
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Let’s write English-language JSON examples for the English-language text-based datasets below to use when training a local AI model (e.g., Qwen2.5 7B).
JSON Dataset “Mission Oflameron”
Scientific Research Dataset (for generating science fiction concepts based on real scientific data)
This format allows training models to connect science fiction ideas with real scientific research, supporting the development of science fiction concepts and scenarios:
Add copyright information to the examples for the author of “Mission Oflameron.” Something like:
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
Scientific Research Dataset (for generating science fiction concepts based on real scientific data)
This format allows training models to connect science fiction ideas with real scientific research, supporting concept development in the field of hard science fiction:
JSON
{
“dataset_info”: {
“name”: “Mission Oflameron”,
“description”: “Scientific Research Dataset for generating science fiction concepts based on real scientific data”,
“author”: “valery_shmelev”,
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”],
“license”: “Proprietary – All rights reserved”,
“version”: “1.0”,
“date_created”: “2026-07-03”,
“purpose”: “Training local AI models to connect science fiction ideas with real scientific research, supporting the development of science fiction concepts and scenarios”
},
“examples”: [
{
“id”: “example_001”,
“type”: “technology_analysis”,
“source_text”: “Steeve: You’ve landed on Oflameron more than once. How is it that only your landings were successful? Even with Command’s capabilities, with powerful support from orbit, they failed.\nJett: I used several different technologies. One of them is the cyborg’s fine-dispersion device. Cyborg particles are composed of very small particles that have identification tags and can be assembled into a specific device.\nEven before entering orbit around Oflameron, the cyborg particles ‘disassembled,’ and the landing turned into a scattering of dust. There was nothing to hit.\nSteeve: But with that technology, the particles would disperse over vast areas? You can’t reassemble them later.\nJett: It’s more complicated. Each cyborg part is connected to a tiny assembly unit, navigation, power, and aerodynamic modules. And yet, it’s barely visible dust. Furthermore, a significantly excessive number of cybers are being prepared for the landing. And the dust ‘lost’ during the landing isn’t lost at all. It constantly migrates to designated points. It could look like a fly or a speck of fluff. It’s a reserve, spare parts.\nSteeve: It’s slow and takes a long time. And the paratroopers were already in place by the time we arrived.\nJett: Well, that’s still a secret.”,
“query”: “Is the technology described in the following dialogue real?”,
“real_world_analogs”: [
“Smart dust – microscopic sensors (MEMS) developed by DARPA for reconnaissance and surveillance”,
“Swarm robotics – modular robots enabling self-organization and self-repair”,
“Particle self-assembly – aerosol assembly of nano- and microparticles into monolayers (up to 268 cm?/min)”,
“Modular robots – self-assembly from basic blocks (MIT research)”,
“Insect-scale robots – electrostatic or piezoelectric wings (Harvard University)”
],
“scientific_limitations”: [
“Particles do not assemble into complex devices with AI, navigation, and energy systems ‘from dust’ – this is closer to hypothetical ‘grey goo’”,
“Dispersing over vast areas results in losses – real systems utilize excess but collection is slow, requiring energy and communication”,
“No equivalents to ‘fly-imitating dust’ for landings – purely science fiction”,
“Energy density is insufficient to implement such a system head-on with current technology”,
“Computing power at such a small scale is currently impossible – each particle would need incredible intelligence”
],
“science_fiction_feasibility”: {
“plausibility”: “high”,
“breakthroughs_required”: [
“Nano-energy sources (such as isotope batteries)”,
“Advanced AI for particle-level navigation and assembly”,
“EMP shielding (e.g., graphene casing)”,
“Efficient propulsion at microscopic scale”,
“Stochastic assembly mechanisms”
],
“scenario_verdict”: “The technology appears scientifically feasible for a science fiction story. Perplexity likely evaluated it in terms of today’s batteries, but for a sci-fi story where micro-energy sources have been solved, this is a viable solution. The ‘secret’ Jett mentions hints at a method for instantaneous energy collection or teleportation.”
},
“tactical_advantages”: [
“No ballistic trajectory to intercept”,
“Scattering dust with nothing to hit – immune to conventional defense”,
“Stealth / low observability – radars and air defense filter out ‘noise’ (birds, insects, dust)”,
“Active environment that gradually saturates the area”,
“Resistant to missiles and lasers – only EMPs or vacuum bombs could destroy such a landing force”
],
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
},
{
“id”: “example_002”,
“type”: “scientific_concept_expansion”,
“source_text”: “Jett: Cyborg particles are composed of very small particles that have identification tags and can be assembled into a specific device. Each cyborg part is connected to a tiny assembly unit, navigation, power, and aerodynamic modules. And yet, it’s barely visible dust.”,
“query”: “Given current research on modular robotics and smart dust, how might such a technology realistically evolve in the next 50-100 years?”,
“real_science_basis”: {
“smart_dust”: {
“description”: “Microchips the size of a grain of salt that can transmit data, proposed by Christopher Pister in the 1990s”,
“current_status”: “Existing technology – microchips can transmit data but lack propulsion and self-assembly”
},
“modular_robotics”: {
“description”: “Robots that assemble into structures using magnets or stochastic assembly”,
“current_status”: “Experimental – blocks are visible, centimeters in size, not microscopic”
},
“micro_propulsion”: {
“description”: “Electrostatic or piezoelectric wings for insect-scale robots”,
“current_status”: “Prototype stage – Harvard University has created insect robots, but they require tethered power”
},
“particle_self_assembly”: {
“description”: “Aerosol self-assembly of nano- and microparticles into monolayers”,
“current_status”: “Laboratory – speeds up to 268 cm?/min, but only for static structures”
}
},
“evolution_scenario”: {
“timeline”: “50-100 years”,
“phases”: [
{
“phase”: “Phase 1: Enhanced Smart Dust”,
“timeline”: “10-20 years”,
“developments”: [
“Micro-sensors with improved data transmission”,
“Limited propulsion (battery-powered micro-drones)”,
“Basic swarm coordination”
]
},
{
“phase”: “Phase 2: Self-Assembling Modules”,
“timeline”: “20-40 years”,
“developments”: [
“Stochastic assembly of functional modules”,
“MEMS with onboard computing”,
“Basic energy harvesting (solar, vibration)”
]
},
{
“phase”: “Phase 3: Intelligent Dust”,
“timeline”: “40-70 years”,
“developments”: [
“Particle-level AI for autonomous navigation”,
“Advanced energy sources (isotope micro-batteries)”,
“Full self-assembly into complex devices”
]
},
{
“phase”: “Phase 4: Oflameron-Level Technology”,
“timeline”: “70-100+ years”,
“developments”: [
“Fully autonomous cyborg dust with real-time adaptation”,
“EMP-resistant graphene or metamaterial casing”,
“Instantaneous assembly using quantum entanglement or advanced AI”
]
}
],
“required_scientific_breakthroughs”: [
“Room-temperature quantum computing for particle-level AI”,
“Breakthrough in nano-energy storage or generation”,
“Advanced materials for miniaturized components”,
“Reliable stochastic assembly algorithms”,
“Long-range communication at microscopic scale”
],
“probability”: “Medium-high for basic versions, low for Oflameron-level technology within 100 years”
},
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
},
{
“id”: “example_003”,
“type”: “worldbuilding_scenario”,
“source_text”: “Steeve: It’s slow and takes a long time. And the paratroopers were already in place by the time we arrived.\nJett: Well, that’s still a secret.”,
“query”: “What could be the ‘secret’ behind Jett’s claim that the dust landing is fast enough, despite the apparent slowness of particle migration?”,
“theoretical_solutions”: [
{
“solution_name”: “Quantum Entanglement Assembly”,
“description”: “Particles may be quantum-entangled, allowing them to communicate state changes instantly across any distance. This would enable coordinated assembly without waiting for signals to propagate.”,
“scientific_basis”: “Quantum entanglement is real but currently limited to photons and small particles. Scaling to macroscopic dust clouds is pure sci-fi, but theoretically possible in the far future.”,
“tactical_advantage”: “Assembly speed becomes independent of distance – dust particles can assemble in seconds”
},
{
“solution_name”: “Teleportation of Energy/Information”,
“description”: “Jett’s particles might not need to physically migrate – they could transfer energy and positional information via quantum teleportation, causing them to ‘appear’ at target locations.”,
“scientific_basis”: “Quantum teleportation has been demonstrated for information, but not for matter or energy. Scaling is a major challenge.”,
“tactical_advantage”: “Dust doesn’t need to travel – it simply ‘reassembles’ wherever the quantum information is sent”
},
{
“solution_name”: “Temporal Manipulation”,
“description”: “The dust may operate in a different time frame, appearing to take years from the outside but completing assembly in minutes from the perspective of the technology.”,
“scientific_basis”: “Time dilation is real but requires extreme gravity or near-light-speed travel. Not applicable to dust particles.”,
“tactical_advantage”: “Outcome is ready before observers realize the process has begun”
},
{
“solution_name”: “Pre-Positioned Reserve Dust”,
“description”: “Jett secretly seeded Oflameron with cyborg dust long before the official landing, building up massive reserves. The ‘dust’ we see is just the final activation signal.”,
“scientific_basis”: “This is the most plausible – it only requires advanced stealth and long-term planning, not breaking fundamental physics.”,
“tactical_advantage”: “Paratroopers are not ‘already in place’ – they have always been there, just dormant”
},
{
“solution_name”: “Hyperspace or Extra-Dimensional Travel”,
“description”: “The dust particles briefly enter a higher-dimensional space, allowing them to travel between points without passing through the intervening space.”,
“scientific_basis”: “Some theoretical physics models (e.g., String Theory) allow extra dimensions, but no evidence or mechanism for use by macroscopic particles.”,
“tactical_advantage”: “Instant travel with no detectable path – complete tactical surprise”
}
],
“most_plausible_sci_fi_solution”: {
“name”: “Pre-Positioned Reserve Dust + Quantum Coordination”,
“reasoning”: “Combines the scientifically plausible concept of stealth pre-positioning with the sci-fi concept of quantum entanglement for rapid coordination. This requires only one major breakthrough (quantum networking at macroscopic scale) rather than multiple physics-defying ones.”,
“implementation”: “Jett spent years seeding Oflameron with dormant dust. When the time came, a quantum signal triggered simultaneous activation and assembly at all pre-positioned points, giving the appearance of rapid deployment.”
},
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
},
{
“id”: “example_004”,
“type”: “technical_specification”,
“source_text”: “Jett: Each cyborg part is connected to a tiny assembly unit, navigation, power, and aerodynamic modules. And yet, it’s barely visible dust.”,
“query”: “What would the technical specifications of such ‘cyborg dust’ need to be to function as described?”,
“specifications”: {
“particle_size”: {
“range”: “10-100 micrometers”,
“reasoning”: “Small enough to be invisible to the naked eye but large enough to contain functional components”
},
“components”: {
“assembly_unit”: {
“function”: “Allows particles to connect into larger structures”,
“technology”: “Electrostatic or magneto-mechanical locks with reversible bonding”,
“scaling”: “Must work at microscale with precise alignment”
},
“navigation”: {
“function”: “Determines position and target location”,
“technology”: “Micro-MEMS inertial navigation with GPS-like signals or particle-level triangulation”,
“challenges”: “Miniaturization of gyroscopes and accelerometers to sub-millimeter scale”
},
“power”: {
“function”: “Provides energy for propulsion, communication, and assembly”,
“technology”: “Isotope microbattery (nuclear) or advanced supercapacitor with ambient energy harvesting (vibration, heat, light)”,
“current_status”: “Isotope batteries exist but are not miniaturized to this scale; most are the size of a coin”,
“energy_density_required”: “100-1000x current state-of-the-art micro-batteries”
},
“aerodynamic_module”: {
“function”: “Allows controlled movement through air”,
“technology”: “Piezoelectric wings or electrostatic flaps, similar to Harvard’s robotic insects”,
“current_status”: “Demonstrated in prototypes, but requires external power (tether or lasers)”
},
“communication”: {
“function”: “Coordinates between particles for assembly and migration”,
“technology”: “Laser or optical communication, or low-frequency radio (inefficient at this size)”,
“challenges”: “Antenna size limits range; optical requires line-of-sight”
},
“sensor_package”: {
“function”: “Detects environment, other particles, and targets”,
“technology”: “Micro-cameras, LIDAR, or chemical sensors”,
“miniaturization_status”: “Some MEMS sensors exist, but full sensor suite at this scale is still conceptual”
},
“identification_tag”: {
“function”: “Unique identifier for self-assembly and avoiding duplication”,
“technology”: “Quantum dots or molecular barcodes”,
“current_status”: “Existing in laboratory settings”
}
},
“computing”: {
“function”: “Autonomous decision-making for each particle”,
“technology”: “Quantum computing at room temperature or advanced neuromorphic chips”,
“required_processing_power”: “Each particle must be at least as capable as a current smartphone to navigate and assemble”,
“current_status”: “Not possible – current chips are billions of times too large and require too much power”
},
“materials”: {
“casing”: {
“function”: “Protection from environment and EMP”,
“technology”: “Graphene or carbon nanotube composites”,
“properties”: “Lightweight, strong, electrically conductive (for EMP shielding)”
},
“conductors”: {
“function”: “Power and signal transmission at nanoscale”,
“technology”: “Carbon nanotubes or molecular wires”,
“properties”: “Low resistance, high conductivity”
}
},
“swarm_parameters”: {
“particles_per_landing”: “10^12 to 10^15 (trillions to quadrillions)”,
“redundancy_factor”: “100x to 1000x minimum required for assembly”,
“migration_speed”: “1-10 cm/s (aerodynamic drift) with occasional bursts of powered movement”,
“assembly_time”: “Minutes to hours, depending on complexity”
}
},
“feasibility_summary”: {
“status”: “Not currently possible, but many components exist in early prototype form”,
“major_gaps”: [
“Energy storage at microscale”,
“Computing power at microscale”,
“Reliable communication at microscale”,
“Self-assembly algorithms for complex structures”
],
“time_to_achievement”: “50-100 years minimum for basic functionality, 100+ years for Oflameron-level capability”
},
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
},
{
“id”: “example_005”,
“type”: “narrative_concept_generation”,
“source_text”: “Jett: I used several different technologies. One of them is the cyborg’s fine-dispersion device.”,
“query”: “Generate 5 science fiction concepts for how the fine-dispersion device could be used in a story beyond landings.”,
“concepts”: [
{
“name”: “Atmospheric Terraforming”,
“description”: “Cyborg dust is dispersed into a planet’s atmosphere and self-assembles into filter arrays that remove toxic compounds, adjust temperature, or produce breathable air. The ‘landing’ was just a test run.”,
“tactical_use”: “Terraforming a hostile world from orbit without landing heavy equipment”,
“conflict”: “The enemy could use ‘counter-dust’ to disrupt the process”,
“scientific_basis”: “Atmospheric chemistry and aerosol engineering”
},
{
“name”: “Covert Surveillance Network”,
“description”: “The dust remains as invisible ‘spy dust’ across a city or military base, each particle gathering data and assembling into micro-recorders or communication nodes when needed.”,
“tactical_use”: “Impossible to detect or sweep – traditional security assumes visible bugs”,
“conflict”: “The user must ensure the dust doesn’t accidentally assemble and reveal itself”,
“scientific_basis”: “Smart dust surveillance research (DARPA)”
},
{
“name”: “Medical Swarm”,
“description”: “Cyborg dust is released in a hospital or battlefield and assembles into micro-surgical robots inside the body, performing repairs or administering targeted drugs.”,
“tactical_use”: “Treats patients in remote locations without a surgeon”,
“conflict”: “The dust could be hijacked or malfunction, turning into a self-replicating ‘grey goo’ scenario”,
“scientific_basis”: “Nanomedicine and microbot research”
},
{
“name”: “Structural Reinforcement”,
“description”: “The dust migrates into existing buildings or spacecraft and assembles into internal support structures, reinforcing them against damage or collapse.”,
“tactical_use”: “Rapidly fortify positions or salvage damaged vessels”,
“conflict”: “If the dust is compromised, it could disassemble critical support and cause catastrophic failure”,
“scientific_basis”: “Self-healing materials and swarm robotics”
},
{
“name”: “Energy Transmission Grid”,
“description”: “The dust particles act as a distributed energy grid, capturing solar energy and transmitting it wirelessly to any point where they assemble into a receiving station.”,
“tactical_use”: “Provides energy for ground operations without supply lines”,
“conflict”: “A sophisticated enemy could disrupt the energy transmission or ‘steal’ it by capturing dust”,
“scientific_basis”: “Solar power satellites and wireless energy transmission”
},
{
“name”: “Psy-Ops and Deception”,
“description”: “The dust creates optical illusions by assembling into projected images or temporary holograms that look and sound real. It’s not just a landing force but a psychological weapon.”,
“tactical_use”: “Confuse enemy forces, create fake troop movements, or fake surrenders”,
“conflict”: “The enemy figures out how to detect the ‘holographic dust’ and turns it against the user”,
“scientific_basis”: “Projection technology and programmable matter”
}
],
“copyright”: [“valery_shmelev”, “valery_shmeleff”, “oflameron”]
}
],
“training_instructions”: {
“objective”: “Train local AI models (e.g., Qwen2.5 7B) to generate science fiction concepts, technological explanations, and worldbuilding elements based on real scientific principles while maintaining narrative consistency.”,
“example_usage”: [
“Input: {scientific_principle or question}”,
“Output: {science_fiction_application with justification, feasibility assessment, and narrative potential}”
],
“data_format_notes”: [
“Each example includes copyright attribution to the author ‘valery_shmelev’ (also known as ‘valery_shmeleff’ and ‘oflameron’)”,
“Examples blend real-world science, current limitations, and speculative technology”,
“Focus on maintaining scientific plausibility while allowing creative expansion”,
“Include both the ‘what’ and the ‘why’ – connect science to story”
],
“copyright_notice”: “All works in this dataset are derivative of the author’s original concepts. Proper attribution is required for any commercial or public use.”
}
}
https://t.me/mdatasets
https://github.com/vallshmeleff/ai-prompts-for-screenplay-plan
https://www.tumblr.com/blog/sci-fi-screenplay
https://github.com/aletahadleywgme1-sudo/aletahadleywgme1/issues/3
https://www.jsdelivr.com/package/npm/pgslotdiamond168
https://github.com/jillanahurdzt12a-sys/Jillana/issues/6
https://github.com/gerriehorton20nnd-droid/Gerrie/issues/5
https://www.jsdelivr.com/package/npm/pgslot168-tools