🎴 TAO - hello · Scour

jscott3201/SeleneDB: The AI-native graph database. Pure Rust, single binary, runs everywhere from a Raspberry Pi to a cloud VM. 💎ScyllaDB

github.com·4d·r/rust

Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds 📱Edge AI

arxiv.org·14h

Show HN: An offline-first type-safe graph database in a CRDT ➡️Apache Arrow

codemix.com·1d·Hacker News, r/typescript

From operational to analytical: The unified Spanner Graph and BigQuery Graph solution 🕸️Graph Databases

cloud.google.com·2h

CAP Theorem Revisited: PACELC 🔺CAP Theorem

dev.to·10h·DEV

A Stable CandyStore 🧩Mimalloc Internals

tomerfiliba.com·3d

Measuring LLM Reliability With Semantic Entropy in Production Systems 🌊CALM Theorem

hackernoon.com·23h

zkRAG: Efficiently Proving RAG Retrieval in Zero Knowledge 🔍RAG

eprint.iacr.org·3d

Covenant AI exits Bittensor over centralization concerns, TAO falls 15% ⚙️LMAX Architecture

cryptobriefing.com·4d·Hacker News

Introducing the Consistency Journal 📔Journaling

herbertlui.net·6d

Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency 🔄Memory Ordering

arxiv.org·1d

Larql: LLMs Are Databases. Query neural network weights like a graph database 🦙Ollama

github.com·21h·Lobsters, Hacker News

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory 🔀Procedural Generation

arxiv.org·1d

layercache: Stop Paying Redis Latency on Every Hot Read 💾Cache Design

dev.to·4d·DEV

Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling 💬Prompt Engineering

arxiv.org·14h

Large-Scale Universal Defect Generation: Foundation Models and Datasets 🧬Mutation Testing

arxiv.org·1d

I built a Graph database to catch money launderers. Here's what I actually learned. 💰TigerBeetle

dev.to·6d·DEV

RPA-Check: A Multi-Stage Automated Framework for Evaluating Dynamic LLM-based Role-Playing Agents 🎲Deterministic Simulation

arxiv.org·14h

Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning 🤖TVM

arxiv.org·1d

EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers 🤖Transformers

arxiv.org·1d

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