Your LLM Won’t Stop Lying Any Time Soon
hackaday.com·2d
💻Local LLMs
Three ways formally verified code can go wrong in practice
buttondown.com·2d·
Discuss: Lobsters, Hacker News
📜Proof Carrying Code
Building Luca: An AI Agent for Finance and Accounting Workflows
leapfin.com·1d·
Discuss: Hacker News
🔗Constraint Handling
Agents 2.0: From Shallow Loops to Deep Agents
philschmid.de·1d·
Discuss: Hacker News
📼Tape Combinators
A Proof of the Riemann Hypothesis
dev.to·4d·
Discuss: DEV
⚔️Lean Theorem
Wireguard FPGA
github.com·14h·
Discuss: Lobsters, Hacker News
🔧FPGA Preservation
Intelligent backpropagated neural networks application on Couette-Poiseuille flow of variable viscosity in a composite porous channel filled with an anisotropic...
arxiv.org·3h
🌀Differential Geometry
Simulate, Then Innovate: The AI Revolution Powered by Differentiable Physics
dev.to·9h·
Discuss: DEV
⚡Incremental Computation
Enhanced SoC Design via Adaptive Topology Optimization with Reinforcement Learning
dev.to·3d·
Discuss: DEV
🧩RISC-V
Categorical Invariants of Learning Dynamics
arxiv.org·6d
🕸️Algebraic Topology
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
arxiv.org·6d
📼Tape Combinators
Revisiting Long-context Modeling from Context Denoising Perspective
arxiv.org·5d
🔢Denotational Semantics
Conformalized Gaussian processes for online uncertainty quantification over graphs
arxiv.org·5d
📈Spectral Graph Theory
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
arxiv.org·5d
💻Local LLMs
Safety Analysis of eVTOL Operations based on STPA
arxiv.org·3h
🔐Capability Systems
On the Pure Quantum Polynomial Hierarchy and Quantified Hamiltonian Complexity
arxiv.org·4d
⚛️Quantum Algorithms
XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation
arxiv.org·4d
🎯Performance Proofs
Automated Anomaly Detection in Account Takeover via Multi-Modal Graph Neural Network Fusion
dev.to·2d·
Discuss: DEV
🔍Vector Forensics
LLC Artificial Intelligence Trained to Lie by Omission
dev.to·1d·
Discuss: DEV
📏Code Metrics
A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
arxiv.org·6d
🧠Machine Learning