The following is a comparison of several one line programs in a directory, the first 24 bytes: [sparkone@sparktwo TEST_TP]$ hex_compare 24CALL.TP: fe ef 00 01 00 00 00 88 ff 00 00 01 00 43 41 4c 4c fe e6 f7 ff ff 01 00DI_TEST.TP: fe ef 00 01 00 00 00 90 ff 00
Let’s find out what kind of signal processing and system interconnection are involved in typical press robot operations. A random program was selected and analyzed. 1: DO[1:Clamp Close]=ON2: DO[2:CLAMP ENABLE]=ON3: DO[3:EJECT RETRACT]=ON4: DO[4:EJECT FORWARD]=ON5: DO[5:CORE PULL]=ON6: DO[6:CORE SET]=ON7: LBL[1]8: MONITOR SIM_MON9:J P[21] 100% FINE10: DO[4:EJECT FORWARD]=OFF11: IF DI[8:FULL AUTO]=OFF12: CALL PAUSE13: OVERRIDE=85%14: WAIT DI[14:WHISKER SWITCH]=ON15:
Controls: Arrow Keys: Move Space: Attack Up Arrow: Jump
Classical Maxwell Variable EM Properties Aether Density: 1 Flow Rate: 0.5 Frequency (Hz): 100 Toggle Coil Toggle Capacitor Toggle Field Lines Maxwell’s Equations ∇·E = ρ/ε₀ ∇·B = 0 ∇×E = -∂B/∂t ∇×B = μ₀J + μ₀ε₀∂E/∂t
Classical Maxwell Variable EM Properties Aether Density: 1 Flow Rate: 0.5 Frequency (Hz): 100 Toggle Coil Toggle Capacitor Toggle Field Lines Maxwell’s Equations ∇·E = ρ/ε₀ ∇·B = 0 ∇×E = -∂B/∂t ∇×B = μ₀J + μ₀ε₀∂E/∂t Grok on bugfix, fell back to older model and no-think mode for image inclusion. 2 shots. Classical Maxwell
Classical Maxwell Variable EM Properties Aether Density: Flow Rate: Trying to add some features. Classical Maxwell Variable EM Properties Aether Density: 1 Flow Rate: 0.5 Frequency (Hz): 100 Toggle Coil Toggle Capacitor Toggle Field Lines Toggle Conductor Toggle Telegraph Maxwell’s Equations ∇·E = ρ / ε₀ ∇·B = 0 ∇×E = -∂B/∂t ∇×B = μ₀
Standard Maxwell’s Equations Quantum-Resolution Maxwell’s Equations Scale (Quantum Mode): Ok. Lets see if Claude can fix it in 1 shot. Classical Maxwell Variable EM Properties Aether Density: Flow Rate: It renders, but how much is delta spam? It seems the higher orders of abstraction didn’t make it through batch response streams.
I examined the paper “https://arxiv.org/abs/2502.04308” (which proposes a novel approach to graph generation using a recurrent‐style variational framework) and here’s a summary of its relevance to working with LLM token word vector embeddings: Below is an example Python script that demonstrates one way to “capture” a graph over token word vectors extracted from a pretrained
True Color ASCII Animation This animation is a derivative of the previous wireframe icosahedron WebGL experiment.
ASCII render ASCII Icosahedron with Particle Vortices