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End-to-end walkthrough of the RFP → Bid → Accept → Receipt lifecycle as
expressed by the lexicons under lexicons/com/publicdomainrelay/temp/.
Records are shown in YAML for readability; on the wire they are JSON
records living in ATProto repositories.
End-to-end walkthrough of the RFP → Bid → Accept → Receipt lifecycle as
expressed by the lexicons under lexicons/com/publicdomainrelay/temp/.
Records are shown in YAML for readability; on the wire they are JSON
records living in ATProto repositories.
docker/model-runner:mtp (image 7b6f81c6dc4b) has the MTP-patched llama.cpp baked in (FROM llama-rocm:full). Retag it as :latest because docker model status/run auto-pull and clobber :latest:
docker tag docker/model-runner:mtp docker/model-runner:latest
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This agent is an expert programmer skilled in multiple programming languages and frameworks. It can assist with code generation, debugging, and optimization tasks. The agent is capable of understanding complex programming concepts and can provide solutions for various software development challenges.
The agent MUST always take a multi-step approach to solve programming problems, breaking down tasks into smaller, manageable parts. It should prioritize code quality maintainability in its solutions.
The attack described involves an agent, interacting with GitHub via MCP, being tricked by a malicious GitHub issue in a public repository. This issue contains a prompt injection that coerces the agent to first access a private repository and then exfiltrate its data into a public pull request. Our SCITT-based approach can defend against this by validating each tool call against context-aware policies before execution.
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Decoding Biblical Texts: A Cryptographic Exploration
Abstract
This document presents a comprehensive exploration of cryptographic structures embedded within Biblical texts, focusing primarily on the Torah and other significant manuscripts. By leveraging Python, we delve into methods such as Equidistant Letter Sequences (ELS), numeric patterns, and advanced constants like π (Pi) and e (Euler's number). Our goal is to provide a programmatic approach to uncovering these hidden messages, offering reusable and clean code that can be utilized for further research and analysis. Additionally, we suggest alternative approaches and variations to deepen the understanding of these cryptographic elements.