Tardygrada FAQs

Question 1

How does Tardygrada prevent AI hallucinations?

Accepted Answer

It employs an advanced 8-layer verification pipeline and ontology grounding. Claims are decomposed, rigorously checked against knowledge graphs, and subjected to Byzantine Fault Tolerance consensus, guaranteeing high truthfulness and a 0% false acceptance rate for unknown claims.

Question 2

Can Tardygrada integrate with or replace existing AI agent frameworks?

Accepted Answer

Yes, the `tardy terraform` utility can convert existing AI agent frameworks like LangChain, CrewAI, or LlamaIndex into Tardygrada's verifiable structure. This often drastically reduces complexity, transforming thousands of lines of code into a few verifiable instructions.

Question 3

What are Tardygrada's key performance and resource characteristics?

Accepted Answer

Tardygrada is built on a compact, zero-dependency C11 implementation, resulting in a tiny 212KB binary. Despite its robust security, it offers high performance for verification (1.4 million ops/sec) and message passing (5.3 million ops/sec).

Question 4

What is Tardygrada?

Accepted Answer

Tardygrada is a programming language specifically designed for building highly reliable and secure AI agents. It ensures every agent output is formally verified, cryptographically signed, and grounded against an ontology to prevent hallucinations.

Question 5

What makes Tardygrada's outputs trustworthy?

Accepted Answer

All outputs are cryptographically verified using ed25519 signatures and SHA-256 hashes. It also utilizes Coq-proven Byzantine Fault Tolerance (BFT) consensus for agent coordination and hardware-enforced immutability via `mprotect` for data integrity.

Tardygrada

Tardygrada

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主要功能

使用案例