All published AI Radar articles.

Researchers have introduced VBVR-Pro, a closed-loop testbed designed to advance native visual reasoning. This suite aims to make visual reasoning trainable, verifiable, optimizable, and controllable by providing a scalable task space and reliable reward mechanisms.

Google DeepMind is pioneering the first double-blind evaluations for AI systems. This approach aims to mitigate biases in AI assessment by ensuring neither the evaluators nor the developers know which AI is being tested.

A new technique called Quantization-Aware Healing allows for the creation of compressed 4-bit AI models that achieve superior performance compared to their original full-precision versions. This method focuses on optimizing the quantization process to maintain and even enhance model accuracy.

A new survey systematically studies smart glasses as first-person intelligence platforms, moving beyond simple capture and display. It proposes a unified framework to address the challenge of creating a reliable perception-state-interaction-action loop under device constraints.

OpenAI has released version 0.149.1 of its Codex CLI tool. This update is part of ongoing maintenance and improvements to the command-line interface for interacting with Codex models.

Travel company loveholidays is utilizing OpenAI's Codex to democratize software development across its business operations. This initiative aims to empower teams to transform concepts into functional products more rapidly.

A new benchmark, SWE Refactor Bench, has been introduced to evaluate the ability of coding agents to perform complex, whole-repository software migrations. Existing benchmarks are insufficient as they do not verify if the migration actually occurred, allowing agents to pass tests by copying original code. This benchmark addresses that gap by assessing both migration completeness and behavioral correctness.

OpenAI has introduced Jalapeño, a custom-designed inference chip. This new hardware aims to significantly improve the speed and power efficiency of AI inference tasks.

This guide from Hugging Face explores building and deploying AI workflows using Gradio. It covers the process from initial setup and execution to final deployment, offering practical insights for developers.

OpenAI has updated its developer tools to allow importing setup and recent work from other agents. This feature aims to streamline the workflow for developers using OpenAI's agent-based systems.