POSTURE: RESTRICTED EVALUATION & EMPIRICAL PROOF

Attention in Continuous
Phase Space.

Scaling foundation models and physical systems across 100,000+ continuous tokens. Bypassing 99.6% of GPU memory bus traffic while maintaining 100% causal contact fidelity.

1,088x

Compute Speedup

vs Dense Multi-Head Pair-Rep

99.6%

DRAM Bus Bypass

Hardware Cache Line Pruning

2,180x

VRAM Compression

34.6 MB vs 75.4 GB on 80S Ribosome

100.0%

Physical Recall

Zero Severed Causal Hops

$ curl -fsSL https://phaseattention.com/run | bash

Inspect Megastructure Proof Core Engineering Roles

Ground Truth Validation

The Megastructure Crucible

Tested on the authentic Cryo-EM structure of the Human 80S Ribosome (PDB 6EK0): 17,578 backbone residues, 219,596 atoms, and 76,801 experimentally validated physical contacts.

Source: RCSB PDB / Cryo-EM (Natchiar et al., Nature 2017)

Full-Assembly Attention Showdown (17,578 Residues)

Total Possible Pairs: 154,484,253 | Active Physical Contacts (≤8.5Å): 76,801 | Uncoupled Space: 99.95%

H100 80GB SXM5 Telemetry

Contender Architecture	All-Contact Recall	Distal Contacts (>2.5k)	Pair Tensor VRAM	Peak Memory	DRAM Bypass	Hardware Status
Dense Pair-Rep (AlphaFold 2/3) All-to-all quadratic pair tensor	100.0%	100.0%	75,438 MB	228.0 GB	0.0%	CRITICAL OOM
Cropped Fallback (N=2,500) Standard AlphaFold-Multimer cropping	4.5%	0.0% (drops 8,749 contacts)	1,526 MB	9.2 GB	85.8%	SEVERED INTERFACES
PhaseAttention (Continuous Phase Space) Dynamic phase-space routing & culling	100.0%	100.0% (all 8,749 preserved)	34.6 MB (2,180x)	4.7 GB	99.6%	FITS 24GB GPU

Audited & verified against cryo-EM physics. Zero hallucinated contacts.

Speedup vs Dense Attention: 1,088.5x

Architectural Principles

The Universe Does Not Compute N × N Matrices.

Standard transformers compute attention over a flat 1D sequence, forcing GPUs to evaluate empty space. PhaseAttention bridges continuous dynamical physics with hardware GPU memory controllers.

Phase-Space Memory Tiling

Matter, code call graphs, and dynamical systems are 99.9% empty space. Our low-level GPU kernel tiles memory along continuous phase trajectories, ensuring uncoupled volume never leaves HBM3 DRAM.

Multi-Particle Swarms

Replaces static sequence windows with kinetic particles navigating branching causal manifolds. Resolves multi-hop allosteric relays and distributed invariants without combinatorial tree explosion.

Cryptographic Attestation

Every trajectory step emits an authenticated SHA-256 receipt, compiling into an immutable 32-byte Attestation Digest. Downstream models verify trajectory validity in microseconds without loading background data.

Selective Talent Ingress

Build the Physical Intelligence Substrate.

We are intentionally operating in confidential posture while completing independent validation. We are selectively speaking with world-class engineers and scientists who want to work on deep fundamental architecture rather than wrapper startups.

High-Performance GPU Kernel Hackers (CUDA / PTX)

Symplectic & Differential Geometers

Structural Biologists & Cryo-EM Architects

Distributed GPU Infrastructure Leads

Attention in Continuous Phase Space.