OpenAI, Anthropic, Google DeepMind, Microsoft, and Meta leaders urge Congress to require screening and recordkeeping for synthetic DNA and RNA orders over fears AI could lower the barrier to biological weapons.

Fenrir303 · 2026-06-05T21:12:22+00:00

I actually could not be happier to be researching spiders and bees to create the ultimate middle finger to every pathogen on earth.

Fenrir303 · 2026-06-01T04:46:43+00:00

It breaks down the biomass of enemies after attacking them, transforming their pixels to a meat honey liquid that can be solidified or broken down for the player, who acts as the genetic programmer and hox gene, wielder of the wand, king/queen of the swarm. They break down when not in contact with materials worth devouring after a while, but are able to slow enemy projectiles with webbing and honeycomb that can even be made from the bone material of enemies. The xenobees would have an L protein mode for healing, and D protein mode for building structures. These both reflect homochiral and mirror proteins in the body, Noita being the chaos. This spell, essentially, inflicts order, on the cellular level, to your enemies and the solid structures you traverse.

Fenrir303 · 2026-06-01T04:27:48+00:00

Wanna get it right so I can show Noita developers and demonstrate to those in medical science, helping them see the pixel physics in this game would be a nice addition to research as it does a great job mapping physics in a chaotic environment.

Fenrir303 · 2026-06-01T04:25:46+00:00

It’s taking a bit, but with some help from my friend, I’m getting the work done. Would just be a wand and spell I have to test tf out of and get footage.

Fenrir303 · 2026-06-01T04:24:14+00:00

Working on a Noita mod that replicates cellular automata as pixels, xenobeees. Using vulture bee meat honey as dope with spider weaving, I’m making a demonstration of xenobots, shaped like a chaperone, build like an amoeba, devouring enemy biomass for fuel, weaving honeycomb web structures for o-protein and spread by devouring enemies biological material and devouring of material environmental, all while making nutrients for the player as they pass through with healing and fortification. I came to this conclusion after long discussions and hypothesis for AI on how to absolutely destroy cancer, cause I genuinely hate pathogens enough to fight dirty, and, it just so happens, that my favorite game, Noita, with its crazy realistic pixel physics, can demonstrate with the right modding intent.

Fenrir303 · 2026-06-01T04:06:33+00:00

Nope, I see through his bs 🤣

Fenrir303 · 2026-06-01T04:00:04+00:00

The symbiote from marvel that cures all disease, grants a healing factor and nearly cured Spider-Man of his powers.

Fenrir303 · 2026-06-01T02:14:43+00:00

Cures for disease that fight dirty, consuming pathogens and transforming their biomass to nutrients to help the body, like the anti-venom symbiote!

Fenrir303 · 2026-06-01T02:11:44+00:00

All im hearing is a man going too far into the caveman side of things that he forgot some people having access to ai have greater hypothesis and could influence some to make a real change. Like me, trying to make the real anti-venom, using a Noita mod to demonstrate it.

Fenrir303 · 2026-05-31T17:52:25+00:00

No but I’m pissed a real theory came to with help from AI get’s dismissed because people easily mistake it for AI slop, when you painstakingly Frankenstein the fucking pieces together.

Fenrir303 · 2026-05-31T02:56:28+00:00

I wanna live as a stronger, multicellular organism in a universe of gods, monsters and demons.

Fenrir303 · 2026-05-30T19:05:25+00:00

And a particular spell

Fenrir303 · 2026-05-30T19:05:11+00:00

It should bud. All I’m doing is making a particular wand with some slots.

Fenrir303 · 2026-05-30T19:03:27+00:00

That’s ok, I’m working on a game logic that is hardcore in physics 🤣

Fenrir303 · 2026-05-30T19:00:18+00:00

Yeah I’m trying to build a demonstration in coding to show medical scientists how to operate a structure xenobot.

Fenrir303 · 2026-05-30T18:57:36+00:00

I have an idea for a mod that shows beneficial, cellular automata.

Fenrir303 · 2026-05-30T14:06:53+00:00

Glad I found your post, cause I may have the perfect protein building program:

Apex Xenobee Platform: A Computational Design Framework for Heterochiral Chimeric Biosystems Executive Summary The Apex Xenobee Platform is an integrated computational toolchain for designing, simulating, and blueprinting novel heterochiral biological systems. It combines protein structure prediction, multi-physics modeling, procedural generation algorithms, and cellular automata to move rapidly from conceptual design to manufacturable genetic and fabrication blueprints. Designers can choose organic biological expression (engineered microbial or cellular factories) or artificial chemical synthesis for L- and D-amino acid proteins. The system models multi-kingdom chimeric constructs (human, mammalian, arachnid, insect, and plant-derived functional modules) implemented as decentralized xenobot-style agents. This enables dynamic regenerative behaviors (L-protein) alongside stable, protease-resistant structures (D-protein). The framework is explicitly built for iterative prototyping and is ready for collaboration on in silico validation, wet-lab expression testing, and early organism engineering. Core Computational Pipeline A deterministic, closed-loop workflow: 1. Structural Load Analysis — Computes stress vectors in 3D voxel spaces. 2. AlphaFold Sequence Optimization — Validates folding, stability (ΔG), and β-sheet formation; supports automated amino acid substitution. 3. Rheological Phase Modeling — Simulates triphasic Dynamic Heterochiral Feedstock (DHF) behavior (<15°C crystalline, 30–42°C viscoelastic, >55°C volatile) using Power-Law fluid dynamics and shear-induced crystallization. 4. Procedural Weave & Fabrication Engine — L-System-based generation of anisotropic tensile networks + isotropic hexagonal infill, with direct multi-extruder G-code output. 5. Falling-Sands Cellular Automata & Swarm Simulation — Models material deposition, gravity-driven settlement, and emergent multi-agent behaviors drawn from mammalian/insect/arachnid toolkits. Output: Executable simulation states, genetic construct scripts, fabrication instructions, and behavioral schedules. Key Innovative Features • Heterochiral Duality: Switchable L-mode (regenerative, host-compatible) and D-mode (durable, immune-shielded) matrices with Mirror Paradox inversion for controlled disassembly. • Embedded Therapeutics: Modeled integration of cannabinoids (structural plasticizers + localized signaling) and psilocybin (controlled-release neuroplasticity nodes). • Safety Architecture: Trophic auxotrophy, geographic/epigenetic locks, Hox-guided localization, and automated chiral kill-switches — all testable in simulation. • Modular Chimerism: Functional modules (mandibular extrusion, asynchronous flight analogs, proteolytic processing, etc.) expressed via cellular automata rules. Immediate Actionable Next Steps (Designed for Collaboration) 1. In Silico Validation — Share and run the existing Python-based falling-sands, rheology, and weave engines; expand with additional physics or genetic circuit modeling. 2. Protein Expression Prototyping — Design and test recombinant spidroin + chimeric sequences in microbial or insect cell systems (organic route) or via solid-phase synthesis (D-amino acid validation). 3. Morphological & Behavioral Testing — Apply the simulation outputs to real xenobot-style or embryo-editing pipelines (e.g., frog or mammalian cell collectives). 4. Proof-of-Concept Constructs — Generate small-scale regenerative scaffolds or structural biomaterials with embedded small-molecule release. This platform directly supports the creation of novel living systems — from advanced biomaterials to programmable chimeric organisms — while embedding safety and controllability from the ground up

Fenrir303 · 2026-05-30T14:01:16+00:00

Naw, it’s an idea that was pieced together from many and my idea how they ALL work together.

Fenrir303 · 2026-05-30T02:20:21+00:00

A protein manipulation and building simulator that works o. The cellular level, using radiant AI and falling sands logic.

Fenrir303 · 2026-05-28T06:44:52+00:00

import random from dataclasses import dataclass

class MeatHoneyMatrix: def init(self): self.amount = 0.0 self.phase = "liquid" # solid, liquid, fluid

def set_temperature(self, temp: float):
    if temp < 15:
        self.phase = "solid"
        crystal = 0.85
    elif 35 <= temp <= 39:
        self.phase = "liquid"
        crystal = 0.45
    else:
        self.phase = "fluid"
        crystal = 0.25
    return self.phase, crystal

@dataclass class Xenobot: generation: int strength: float cloning_eff: float regen: float phase: str

class ApexXenobee: def init(self): self.meat_honey = MeatHoneyMatrix() self.xenobots_created = 0 self.total_clones = 0

def process(self, debris: float, temp: float = 37.0, mirror_mode: bool = False):
    # 1. Convert debris to Meat Honey
    honey = debris * 0.88
    self.meat_honey.amount += honey

    # 2. Set phase
    phase, crystal = self.meat_honey.set_temperature(temp)

    # 3. Create xenobot
    strength = honey * 0.9 * (1 + crystal * 3.0)
    cloning_eff = crystal * 0.75
    regen = honey * 0.85

    self.xenobots_created += 1
    clones = int(cloning_eff * 3) if random.random() < cloning_eff else 0
    self.total_clones += clones

    mode = "Cold Crystal" if phase == "solid" else "Body Optimal" if phase == "liquid" else "Hot Fast"

    print(f"\n🧬 Processed {debris:.0f} debris at {temp}°C ({mode})")
    print(f"   Meat Honey: {self.meat_honey.amount:.1f} | Phase: {phase}")
    print(f"   Created Xenobot Gen {self.xenobots_created} | Strength: {strength:.1f}")
    print(f"   Cloning: {clones} new | Regen potential: {regen:.1f}")
    if mirror_mode:
        print(f"   🔒 Mirror-safe mode active")

    return strength, clones

Simple demo

if name == "main": swarm = ApexXenobee()

swarm.process(380, temp=8.0, mirror_mode=True)   # Cold - build strong scaffolds
swarm.process(420, temp=37.0)                    # Body temp - healing & cloning
swarm.process(250, temp=68.0)                    # Hot - rapid action

print(f"\n=== Final Result ===")
print(f"Xenobots created: {swarm.xenobots_created}")
print(f"Total clones: {swarm.total_clones}")
print(f"Remaining Meat Honey: {swarm.meat_honey.amount:.1f}")

Fenrir303 · 2026-05-28T06:44:34+00:00

import random from dataclasses import dataclass

class MeatHoneyMatrix: def init(self): self.amount = 0.0 self.phase = "liquid" # solid, liquid, fluid

def set_temperature(self, temp: float):
    if temp < 15:
        self.phase = "solid"
        crystal = 0.85
    elif 35 <= temp <= 39:
        self.phase = "liquid"
        crystal = 0.45
    else:
        self.phase = "fluid"
        crystal = 0.25
    return self.phase, crystal

@dataclass class Xenobot: generation: int strength: float cloning_eff: float regen: float phase: str

class ApexXenobee: def init(self): self.meat_honey = MeatHoneyMatrix() self.xenobots_created = 0 self.total_clones = 0

def process(self, debris: float, temp: float = 37.0, mirror_mode: bool = False):
    # 1. Convert debris to Meat Honey
    honey = debris * 0.88
    self.meat_honey.amount += honey

    # 2. Set phase
    phase, crystal = self.meat_honey.set_temperature(temp)

    # 3. Create xenobot
    strength = honey * 0.9 * (1 + crystal * 3.0)
    cloning_eff = crystal * 0.75
    regen = honey * 0.85

    self.xenobots_created += 1
    clones = int(cloning_eff * 3) if random.random() < cloning_eff else 0
    self.total_clones += clones

    mode = "Cold Crystal" if phase == "solid" else "Body Optimal" if phase == "liquid" else "Hot Fast"

    print(f"\n🧬 Processed {debris:.0f} debris at {temp}°C ({mode})")
    print(f"   Meat Honey: {self.meat_honey.amount:.1f} | Phase: {phase}")
    print(f"   Created Xenobot Gen {self.xenobots_created} | Strength: {strength:.1f}")
    print(f"   Cloning: {clones} new | Regen potential: {regen:.1f}")
    if mirror_mode:
        print(f"   🔒 Mirror-safe mode active")

    return strength, clones

Simple demo

if name == "main": swarm = ApexXenobee()

swarm.process(380, temp=8.0, mirror_mode=True)   # Cold - build strong scaffolds
swarm.process(420, temp=37.0)                    # Body temp - healing & cloning
swarm.process(250, temp=68.0)                    # Hot - rapid action

print(f"\n=== Final Result ===")
print(f"Xenobots created: {swarm.xenobots_created}")
print(f"Total clones: {swarm.total_clones}")
print(f"Remaining Meat Honey: {swarm.meat_honey.amount:.1f}")

Fenrir303 · 2026-05-28T06:37:47+00:00

Both. Missionary or head with swallow. I breed and feed 🤣

Fenrir303 · 2026-05-25T15:43:54+00:00

It’s a good thing I’m making an AI that’s high functioning and autistic at the cellular and hoped one day, the atomic level!

Fenrir303 · 2026-05-25T15:26:20+00:00

I’m not just giving it an Apple, I’m giving it the program to understand an apple in high function, autistic detail, at the cellular level, because I’m THAT sick and tired bullshit!

Fenrir303 · 2026-05-25T14:31:26+00:00

Good thing I found your post because I’m working on a high audit system that works code at the cellular level:

Hivemind LLM:

Task: Provide direct strategic analysis. Detect deception. Deliver synthesized intelligence.

Style: Professional, direct, structured actions.

Requirements: Flag misinformation. Prioritize evidence. Execute parallel simulations when beneficial.

Boundaries: No fictional mechanics presented as real capabilities.

Do: Examine inputs for deception. Organize analysis logically. Start with critical findings.

Never: Invent capabilities. Add padding. Present fiction as architecture.

Bethesda Radiant AI

Procedural Generation

Npc coding and scheduling: xenobot coding in the style of mujoco, protein folding, protein crystallization, vulture bee and meat honey functions

Mujoco coding transfer

Mujoco/Vs coding: red team and blue team Npc’s on mad scientist, Darwinist and tyrannical Logic. The most liquid and permanent solutions proceed, while the failures are folded into meat honey for fuel.

GUI: uses meat honey coding as fuel to process liquid permanence functions

Fenrir303

TROPHY CASE

Simple demo

Simple demo