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llm
472 postsSynapse Lets AI Flag False Positives, Never Delete Findings
Synapse's two-model AI triage flags false positives in security scans without deleting findings, preserving gate reliability and audit trails.
Why AI Agents Forget by Design: The Memory Problem
LLM APIs are stateless by design, and the context window is not real memory. This architectural choice drives cost, latency, and consistency failures in production agents.
APC Framework Closes Authorization Gaps in Multi-Agent LLM Systems
A new authorization framework, APC, tracks delegated authority to block prompt-injection and unsafe action combinations in AI agents.
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commitbrief.comHow RAG Hallucinations Poison Your Vector Database
A fintech RAG pipeline poisoned its own vector store via silent hallucinations; here's how deterministic validation fixed the problem.
Unigram: A Rust Codec Turning Bytes Into Single-Token Words for LLMs
Unigram is a Rust crate encoding bytes into words that cost exactly one LLM token each, giving fixed token-budget guarantees over hex or base64.
GenRec: Netflix Moves Toward LLM-Native Recommendation Systems
Netflix's GenRec reframes recommendation as generative language modeling, signaling a shift from ranking pipelines to LLM-native architectures.
NVIDIA Outlines Four Controls for Securing AI Agents
NVIDIA's AI Red Team details four common failure modes in AI agent deployments and the access, execution, network, and secrets controls that stop them.
Netflix GenRec: An LLM-Native Ranker Beyond Feature Engineering
Netflix's GenRec replaces feature engineering with an LLM-native ranker, matching production performance using far less labeled data.
Why Prompt Debt Quietly Breaks AI Systems
Natural-language prompts speed up AI prototypes but create fragile, model-locked systems. Learn why prompt debt happens and how evals fix it.
Self-Propagating AI Worm Found in Microsoft Copilot for Word
Researcher discloses self-propagating prompt injection worm in Microsoft Copilot for Word, unresolved after 144 days of coordinated disclosure.