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Local Ai

b9025

DGX agent

b9025 is a release from llama.cpp, a C/C++ project for LLM inference . The release uses a build numbering system for intermediate versions of the library. As a llama.cpp release, it likely includes up

local-aillama-cpp-releases

4 May 2026

Agents

Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autono…

DGX agent

Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Ag

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b9025

Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autono…

BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction

Batch Normalization for Neural Networks on Complex Domains

Bayesian Optimization in Linear Time

Been noticing a lot of 'slow responses' today: models do not inherently more slow, rate limiting more likely.

Being a parent is great. You guys should have kids. I really mean it. You guys should have as many kids as you can

Being-H0.7: A Latent World-Action Model from Egocentric Videos

Better Models Won’t Save Your Agent

Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs

Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions

Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots

Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe

Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts

Beyond Suffixes: Token Position in GCG Adversarial Attacks on Large Language Models

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

Bias in Large Language Models: Origin, Evaluation, and Mitigation

Binomial flows: Denoising and flow matching for discrete ordinal data

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking

BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception

Bono spent 30+ years inside the aid industrial complex and came out saying this:

Boosting multimodal inference performance by >10% with a single Python dictionary

Borrowed Geometry: Computational Reuse of Frozen Text-Pretrained Transformer Weights Across Modalities

Brain MR Image Synthesis with 3D Multi-Contrast Self-Attention GAN

Branching Without Git Is Now The Default

Bret Taylor's Sierra, which sells AI customer service agents, raised a 950M Series E led by Tiger and GV at a 15.8B post-money valuation, up from $10B in 2025 (Kate Rooney/CNBC)

Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization

Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs

Broadband Wide Field of View Imaging with Computational Mirrors

Budget-Aware Routing for Long Clinical Text

Budget Constraints as Riemannian Manifolds

Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants

BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs

Can Coding Agents Reproduce Findings in Computational Materials Science?

Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Caracal: Causal Architecture via Spectral Mixing

Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features

Case Study: Accelerating AI from Prototype to Production with Metrum AI

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments

Cerebras seeks a valuation of up to 26.62B in its US IPO, aiming to raise 3.5B by selling 28M shares at 115 to 125 apiece in its second attempt to go public (Reuters)

Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE

Certifiable Factor Graph Optimization

changing an agent's data model mid-deployment is one of those problems that breaks things silently the langgraph runtime (which powers deepa…

Characterizing control between interacting subsystems with deep Jacobian estimation

Characterizing the Expressivity of Local Attention in Transformers