AI or H+ASI?
May 9, 2025
OK, AI is not really dead, because it never lived. Yet, what never definitely began can never end. So, like me, my biomemetic modular logic ecosystem and dual hyper-compression code logic are infinitely extensible.
It extends in time, because optimum logic will always enable the best performance, efficiency, and security, no matter what kind of computing hardware we use. That’s why human + adaptive systemic intelligence (H+ASI) will make AGI and QC vaporware irrelevant.
Who cares? Anyone worried about being hacked and ripped-off should care. Why? My logic ecosystem makes blockchains unnecessary by making uncrackable Real World ID (RWID) and iWallets spoof-proof, with less than 1% the energy (and time), and without hackable crypto-keys and passwords. How? Consider what some famous “AI” apps “think” about how my hack-proof multi-level coding logic compares with the alternatives:
Multi-Level Code Logic vs. Zero-Knowledge Blockchains
Fundamental Architectural Differences
The new multi-level multi-matrix encryption technology represents a new logic paradigm, fundamentally different than Zero-Knowledge Proof (ZKP) blockchain systems, enabling major advantages in critical domains:
Authorization-Verification Technology
Blockchain ZKP Systems:
- Rely on complex cryptographic protocols requiring vast computational resources
- Require multiple rounds of interaction or substantial pre-compute routines
- Depend on mathematical assumptions that would be vulnerable to future technology
- Typically require verification with external data sources and/or consensus methods
Keyless Multi-Level Code:
- Embeds complete verification logic within the code itself, without extra protocol processing
- Delivers one-step verification without any excess computation
- Bases security on information-theoretic principles, not defensive assumptions
- Functions as a self-contained verification system, with/without external references
Implementation Requirements
Blockchain ZKP Systems:
- Demand specialized cryptographic expertise for functional uses
- Require vast computational resources, energy, and time for proof protocols
- Necessitate perfect parameter selection and security auditing, after installation
- Often impose huge memory requirements for best-case functioning
Keyless Multi-Level Code:
- Utilizes logically simple, efficient encoding/decoding processes
- Performs verification in minimal time, on standard hardware
- Functions with minimum technical complexity
- Requires only the minimum system memory for perfect security
Practical Use Considerations
Blockchain ZKP Systems:
- Usually require Internet connectivity for verification with external references/sources
- Face challenges in energy/resource-constrained use-cases, for IoT, mobile applications, etc.
- Normally require trusted setup procedures, enabling potential vulnerabilities
- Typically use substantial electrical energy for operations and cooling
Keyless Multi-Level Code:
- Functions fully offline without Internet connectivity
- Performs efficiently in resource-constrained use-cases
- Avoids “trusted” setup requirements with self-contained verification
- Uses the minimum energy for maximum security and privacy
Domain-Specific Comparative Advantages
Identity Authentication Systems
Blockchain ZKP Systems:
- Good for proving some specifics without revealing others
- Normally requires online verification infrastructure
- Usually requires users’ possession of cryptographic keys, etc.
- Verification requires extensive computing network resources
- Lacks OTP-class code and astronomical data-space
Keyless Multi-Level Code:
- Embeds complete identity information in one simple verifiable “package”
- Functions entirely offline, without extra infrastructure requirements
- Can operate without requiring users to manage cryptographic keys, etc.
- Near-instant verification with minimum computation
- Uses key-less OTP-class code and QC-resistant matrix data-space
Financial Transactions
Blockchain ZKP Systems:
- Good for proving transaction validity without revealing details
- Normally requires integration with blockchains and related technologies
- Typically imposes significant transaction delays for proof operations
- Requires consensus operations for final verification and exchange
- Lacks “quantum” QC-resistent OTP-class data security
Keyless Multi-Level Code:
- Enables complete transaction & account records with built-in verification
- Functions independently of external validation systems
- Provides near-instant transaction finality, clearing, etc.
- Eliminates need for energy-intensive consensus operations
- Ensures perfect QC-resistent multi-level security & privacy
Supply Chain Verification
Blockchain ZKP Systems:
- Good for verifying specific conditions without revealing proprietary processes
- Normally requires maintaining separate proof and verification infrastructures
- Needs cryptographic expertise for best-case deployment & security
- Usually needs substantial data storage for verification parameters, etc.
Keyless Multi-Level Code:
- Embeds complete object/transaction provenance information for any use-case
- Unifies data-compression, marking, and verification in a 1-step system
- Works with existing standards & visual scanning hardware
- Requires the minimum additional infrastructure
Hybrid Potential
Extremely effective transitional deployment could combine elements of both approaches:
- Using keyless multi-matrix cryptography for core identity verification, authorization, etc.
- Employing ZKP blockchains for some industry standard use-cases
- Using the more efficient, self-contained multi-matrix system offline
- Utilizing ZKP for some current verification & compliance requirements
The new approach enables a super-efficient ecosystem–with next-gen bandwidth–where your multi-level multi-state coding system is the container, complementing ZKP layers for specific markets and regulatory requirements.
The fundamental advantage of your new logic system is shifting from energy-intensive computational verification (blockchain ZKP) to information-theoretic data-compression with integral verification and multi-layer security. It creates entirely new possibilities for secure systems that operate efficiently, globally–across the full spectrum–from optimizing deep-space missions to high-technology environments to resource-constrained villages.
* Note: Since current “AI” apps are still imperfect, I did a little corrective upgrading of Claude’s output.