A recent user ranking highlights significant dissatisfaction with Anthropic's latest Claude models, leading some to switch back to GPT.

Generic AI image models prioritize aesthetics. Virtual staging tools must preserve property details, making it a constraint problem.

Google's Long Horizon framework addresses the silent failures of long-running AI agents with five key design patterns.

A new study reveals leading AI developers have few documented strategies for controlling advanced AI systems that exhibit dangerous or unexpected behaviors.

A new optimized implementation of NanoGPT pushes training throughput to near-theoretical limits, achieving 100 TFLOPS on an A100 GPU.

Running large language models locally often yields disappointing results, not because the models are inherently dumber, but due to critical constraints in data quality and hardware.

A review of recent AI predictions reveals a stark disconnect between industry forecasts and reality, impacting development and investment.

VSArena, a benchmark for embodied AI agents, now features a dedicated Vision-Language Agent track with public code and documentation.

A new interactive quiz challenges users to distinguish between human and AI-written text, highlighting the evolving capabilities of LLMs.

NeuralTrust's TrustGate offers an open-source solution for managing LLM API access and observability.