Ramp Labs applied AI engineer Alexander Shevchenko says an application-layer company can beat frontier models on cost and latency by ...

Anthropic released FlashProve, a zkSNARK prototype for provable inference on a 400B MoE model, at about 72x GPU overhead with ...

Was the cause a lazy connection to USB 2.0? A chronicle of my struggle to restore local AI, which was further complicated by ...

Threat actors are using large language models (LLM) to support almost every stage of a cyberattack, from researching ...

When you ask an AI a question, you get an answer right away. That has become the norm. However, for difficult problems, both humans and AI might find that “thinking carefully” leads to a better answer ...

GLM-5.3-FlashX-Legal is the API name under which Z.ai priced GLM-Legal in late October 2026 and listed it on OpenRouter on 2 November, the legal variant of its small GLM-5.3-Flash model. It reads ...

A fine-tuned ~100M-parameter encoder beat every LLM API. On the full test set, WangchanBERTa scored 0.668 macro-F1 vs. 0.555 for the best LLM (Qwen3.8-27B zero-shot), a difference ...

Alibaba is about to put a new flagship model family in front of developers, and the question hanging over it is no longer how good it will be. The question is how open it will be. According to Startup ...

Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment.

See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.

From zero to serving a model on Kubernetes, on your own machine: kind, llmfit, Ollama, GPUs (Intel Arc, NVIDIA, AMD) and k8sgpt. Tested, with real output. - AlexsJones/axjns-k8s-local-llm ...

Mandiant reveals how LLMJacking attacks cost victims hundreds of thousands in fraudulent cloud bills, with underground markets targeting LLM credentials.