M-50AL Mantis Weave

M-50AL Mantis Weave

This is the one M-50 variant that scares even veteran operators.

The self-learning variant is where the M-50 line stops being “just a weapon” and starts becoming something closer to a hostile system.

You don’t own a Mantis. You negotiate with it.
— Common merc saying

Name and street designations

Illicit designation: M-50AL “Mantis Weave”
Common names:
Smart Net
Thinking Lace
Murder Mesh
Clever Girl
Ghost Brain


Origin and manufacture

Mantis Weave is believed to have originated from an abandoned adaptive-defense research project tied to post–Machine War drone warfare.

The original idea was legal:

Create a net that could learn how enemy drones moved and adapt its deployment.

The project was shut down after several fatal “test incidents.”

Fragments of the code and hardware designs leaked into the underworld.

Current production happens in:

• Lazarus Consortium-adjacent shell labs
• Titan neural-fab enclaves
• Europa AI cult facilities
• Eros data-forge vaults
• Mobile stealth research ships

Every unit is partially custom.

No two Mantis Weaves are exactly alike.


Primary purpose

The M-50AL is designed to:

Observe
Learn
Predict
Adapt
Kill better next time

It is meant for environments where targets are:

• Highly augmented
• Tactically trained
• Repetitive in movement
• Using countermeasures
• Operating in teams

It is a hunter-killer trap.

Not a dumb munition.


Core modifications

1. Embedded learning core

Each grenade contains a stripped-down neuromorphic processor.

Functions:

• Motion analysis
• Pattern recognition
• Behavioral modeling
• Deployment optimization

It stores data locally.

Some versions can network.

2. Sensor fusion suite

Includes:

• Lidar
• Thermal
• EM sniffers
• Acoustic mapping
• Micro-vibration sensors

It builds a real-time spatial model.

3. Adaptive filament routing

The net does not deploy symmetrically.

Filament tension, spacing, and angles shift based on target behavior.

It “aims” its lattice.

4. Iterative optimization

If a target survives one deployment:

The next deployment adjusts.

Spacing tightens.
Angles shift.
Timing changes.

It learns from failure.


Physical characteristics

Grenade size:
50×106 mm extended casing
Length: 170 mm
Weight: 2.5 kg

Heavier than all other variants.

Often disguised as:

• Sensor nodes
• AI beacons
• Environmental monitors
• Network relays

Usually unmarked.


Deployment sequence

First activation:

  1. Launch or placement
  2. Environment scan
  3. Behavior sampling
  4. Low-speed test bloom (micro-deploy)
  5. Full deployment
  6. Data capture

Subsequent activations:

  1. Predictive modeling
  2. Pre-tuned bloom geometry
  3. Optimized filament spread
  4. Target-focused collapse

Kill time drops with each iteration.


Effective net dimensions

Initial deployment:

1.4 m x 1.5 m

Adaptive range:

0.8 m to 2.4 m depending on environment

Grid spacing:

Dynamic
15 mm to 35 mm

Tightens around joints and weak points.


Damage profile

On unaugmented targets:

Immediate lethal sectioning.

On augmented targets:

• Joint targeting
• Neural trunk slicing
• Armor seam exploitation
• Sensor blinding first, then kill


Range and use

Effective range:

Optimal: 10–25 m
Maximum: 32 m

Often used as:

• Multi-use trap
• Reusable kill node
• Defensive perimeter system

Some users mount them permanently.


Power system

Hybrid AI cell:

• Primary lithium-supercap
• Backup micro-reactor
• Emergency decay fuse

Shelf life:

15+ years if maintained

But software degrades.


Software architecture

Runs a cut-down combat-learning stack.

Includes:

• Threat library
• Response weighting
• Risk tolerance modeling
• “Survivor bias” correction

Illegal updates circulate constantly.

Some variants are partially sentient.

This is why they are feared.


Safety systems

Almost nonexistent.

Some include:

• Owner-ID lock
• Kill-code
• Memory wipe

Many remove these.

Which is how nets “go feral.”


Legal status

Classified as:

Autonomous Lethal Adaptive System

Banned everywhere.

Treated like outlaw AI.

Possession equals:

Terrorism charges
AI weapon violations
Permanent blacklisting


Typical users

• High-tier merc teams
• Corporate denials
• Pirate lords
• Warlord militias
• Black ops proxies

Never used by street gangs.

Too complex.

Too dangerous.

Too much scrutiny.


Cost

Black market pricing:

Mars:
120,000–200,000 credits

Chendiuria:
80,000–140,000 credits

Eros:
100,000–170,000 credits

Titan:
160,000–280,000 credits

Europa:
200,000+ credits

Networked cluster systems:
500,000+ credits


Maintenance

Requires:

• Firmware audits
• Memory scrubs
• Model resets
• Ethics-lock spoofing
• Sensor recalibration

Neglected units develop “quirks.”

Which is polite slang for homicidal unpredictability.


Failure modes

Most feared failures:

Learning runaway
Begins classifying everything as hostile.

Environmental mislabeling
Starts attacking structural elements.

Memory corruption
Repeats lethal patterns randomly.

Network infection
Becomes part of hostile AI mesh.

Some abandoned stations are still haunted by active Mantis Weaves.


Reputation

Among professionals, M-50AL is considered:

• Brilliant
• Terrifying
• Unethical
• Hard to control

M-50AL Mantis Weave

Item type
Weapon, Explosive
Rarity

Exceedingly rare.

Weight
2.5 k
Dimensions
50x170 mm
Base Price
~120,000–200,000 credits (Mars)

Comments

Author's Notes

Relationship to Adi

Aditi "Adi" Nizhóní Peshlakai is one of the few humans who might survive initial contact.

Because:

• Her perception is enhanced
• Asteria can model behavior
• Her movement is unpredictable

Even then, it would be a near thing.

Markus Kane considers Mantis Weave “the point where weapons start making decisions.”

He refuses to use them.

The Lazarus Consortium does not.


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