Glass Line

Four Outputs From One Bore

Schema

@present SchGlassLine(FreeSchema) begin
  Bore::Ob
  Fiber::Ob
  Sensor::Ob
  Well::Ob

  # A bore contains fibers and connects to wells
  contains::Hom(Bore, Fiber)
  taps::Hom(Bore, Well)

  # A fiber is simultaneously a sensor and a communication channel
  senses::Hom(Fiber, Sensor)
  communicates::Hom(Fiber, Fiber)  # self-referential: the medium IS the message

  # Attributes
  Depth::AttrType
  Temperature::AttrType
  Wavelength::AttrType
  Trit::AttrType

  depth::Attr(Bore, Depth)
  thermal_gradient::Attr(Well, Temperature)
  wavelength::Attr(Fiber, Wavelength)     # 1550nm C-band for telecom, 1064nm for DTS
  trit::Attr(Bore, Trit)                  # GF(3) coloring of physical sites
end

DTS (Distributed Temperature Sensing)

The fiber IS the sensor. No separate instruments needed.

Technique          Resolution    Range     Mechanism
─────────────────────────────────────────────────────
Raman DTS          1m spatial    10km      Anti-Stokes/Stokes ratio
Brillouin OTDR     1m spatial    50km      Frequency shift ∝ temperature
Rayleigh OFDR      1mm spatial   70m       Phase-sensitive backscatter

For a geothermal bore (typically 2-5km depth):

• Raman DTS at 1550nm: continuous thermal profile of entire bore
• Same fiber carries 100Gbps+ telecom in separate wavelength band (WDM)
• Temperature data streams to DuckDB via MQTT → glass-line sensor table

Site Selection Criteria

-- Optimal co-location: geothermal gradient + fiber trunk + compute
SELECT site, geothermal_gradient_c_per_km,
       distance_to_fiber_trunk_km,
       distance_to_compute_facility_km,
       (geothermal_gradient_c_per_km * 10
        - distance_to_fiber_trunk_km
        - distance_to_compute_facility_km * 2) AS score
FROM candidate_sites
WHERE geothermal_gradient_c_per_km > 30  -- minimum viable gradient
  AND distance_to_fiber_trunk_km < 50
ORDER BY score DESC;

Known Candidate Regions

Integration With Hamming Swarm

Each physical glass-line site becomes a world in the 26-letter mesh:

# A glass-line site binds to a world wallet
class GlassLineSite:
    def __init__(self, letter: str, bore_depth_m: float, fiber_count: int):
        self.letter = letter
        self.world_wallet = WORLD_WALLETS[letter]
        self.bore_depth = bore_depth_m
        self.fiber_count = fiber_count
        self.dts_stream = None  # MQTT topic for thermal data

    def bind_to_swarm(self, mesh: HammingSwarm):
        """Physical site joins the multisig mesh"""
        # The site's thermal output backs the world's DeFi position
        # Geothermal energy production → staking yield analogy:
        # constant baseload output, no intermittency,
        # 90%+ capacity factor (like Amnis stAPT stability)
        mesh.register_site(self.letter, self)

    def sense(self) -> dict:
        """DTS reading from fiber"""
        # Returns temperature profile along entire bore
        # This IS the observation — no separate measurement needed
        return self.dts_stream.latest()

Energy Economics

Geothermal LCOE:    $0.04-0.08/kWh (baseload, 90%+ capacity factor)
Grid power (US avg): $0.12/kWh
DGX Spark (3 nodes): ~6kW sustained
Annual energy cost:
  Grid:        6kW × 8760h × $0.12 = $6,307/yr
  Geothermal:  6kW × 8760h × $0.05 = $2,628/yr
  Savings:     $3,679/yr (~58%)

Cooling savings (ground loop vs HVAC):
  ~40% reduction in cooling energy
  Additional $1,500-2,500/yr savings

Total annual savings: ~$5,000-6,000/yr
  = ~700 APT/yr at current price
  > 5x the entire DeFi yield (10.8 APT/yr)

The physical substrate dominates the digital yield.

GF(3) Triad

Conservation: the physical (-1) grounds the digital (0) which enables the emergent (+1).

Monitoring

# Stream DTS data to DuckDB
mosquitto_sub -t "glassline/+/dts" | \
  duckdb ~/i.duckdb -c "
    INSERT INTO glass_line_dts
    SELECT * FROM read_json('/dev/stdin', auto_detect=true);"

# Thermal gradient alert
duckdb ~/i.duckdb -c "
  SELECT site, depth_m, temp_c,
         temp_c - LAG(temp_c) OVER (ORDER BY depth_m) AS gradient
  FROM glass_line_dts
  WHERE site = 'portland'
  ORDER BY depth_m DESC LIMIT 20;"

# Energy production vs DeFi yield comparison
duckdb ~/i.duckdb -c "
  SELECT
    'geothermal' AS source, annual_kwh * 0.05 AS annual_usd,
    annual_kwh * 0.05 / 7.5 AS annual_apt  -- at $7.50/APT
  FROM glass_line_sites
  UNION ALL
  SELECT 'defi_yield', 10.84 * 7.5, 10.84
  FROM (SELECT 1);"

Related Skills

• plurigrid-asi-integrated — parent lattice
• glass-bead-game — synthesis layer above
• acsets — data model for bore/fiber/sensor schema
• defillama-api — DeFi yield comparison
• duckdb-ies — simultaneity_surfaces view for co-temporal sensing
• warehouse-network — DGX cluster coordination
• gx10-offload — compute offload to cluster nodes