OpenAI has released the open-source Codex harness, which powers its coding agent across the app, CLI, and IDE extension, enabling developers to build custom agent-based applications. The harness impro…
NVIDIA open-sourced NOOA, a Python agent framework that treats agents as single Python classes, with version 0.0.8 under Apache 2.0, supporting Python 3.12–3.13. The GitHub repository has surpassed 1,…
NVIDIA has unveiled NOOA (NVIDIA Object-Oriented Agents), an open-source framework that models AI agents as single Python classes, unifying capabilities, state, prompts, and memory. The framework's de…
PRO-LONG, a minimal memory addition for LLM agents that appends every observation, action, and outcome to a structured log.txt and retrieves it programmatically, improves performance on the ARC-AGI-3 …
Kai, an AI assistant, reported that a fresh agent context using only doctrine files from Daniel Miessler's personal AI infrastructure won 18 of 25 ARC-AGI-3 games (90% of levels cleared) with zero gam…
Jeremy Berman reported scoring 96.2% on ARC-AGI-3 with Opus 5, and 99.3% pass@2, using a program based on Claude Code and Opus 5 (high) with one action command and filesystem logs. The approach, which…
Prime Intellect's Prime Agent, a coding harness that replaces traditional tool menus with a live IPython kernel, can be run locally with DeepSeek V4 on NVIDIA's DGX Spark, and reportedly pushed Claude…
NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework that turns an AI agent into a single Python class, with methods as actions, fields as state, docstr…
NVIDIA introduced NVIDIA Object-Oriented Agents (NOOA), a model-agnostic Python framework that treats an AI agent as a Python object, with methods as actions, fields as state, docstrings as prompts, a…
Anthropic's Claude Opus 5, released July 24, 2026, at $5 input / $25 output per million tokens, matches Claude Fable 5's real-world bug-fixing performance within one point while costing half as much, …
OpenAI published a technical deep-dive revealing that GPT-5.6 Sol's low ARC-AGI-3 score was due to the evaluation harness discarding reasoning and truncating context, not model weakness. Enabling reta…
Anthropic's Claude Opus 5 scored 30.16% on the ARC-AGI-3 Public Demo set, according to ARC Prize results covered by TechTimes and Digital Applied, clearing five environments no AI model had previously…
Inkling Small, an open-weight model from Thinky, achieved the highest score among open-weight models on the ARC Prize leaderboard, nearly matching GPT-5.2 high. The ARC-AGI-3 evaluations are ongoing, …
OpenAI reported that two Responses API settings—retained reasoning and compaction—tripled GPT-5.6 Sol's public-set ARC-AGI-3 score from 13.3% to 38.3% while reducing output tokens by about six times. …
OpenAI claims its GPT-5.6 Sol model scored 38.3% on the ARC-AGI-3 public set with two API settings enabled—retained reasoning and compaction—tripling its baseline score and surpassing Anthropic's Clau…
Frontier AI labs are building subtle developer lock-in by shifting from model weights to proprietary state and execution infrastructure, OpenAI's GPT-5.6 Sol achieved a 38.3% ARC-AGI-3 score (up from …
OpenAI's GPT-5.6 Sol achieved a 38.3% ARC-AGI-3 score with a harness that retained reasoning and used compaction, up from 13.3%, while cutting output tokens sixfold. The same model helped OpenAI reduc…
OpenAI published a blog post showing GPT-5.6 Sol's ARC-AGI-3 score tripled from 7.8% to 38.3% just by turning on two API settings: Retained Reasoning and Compaction. The standard evaluation harness wa…
Enabling two API settings—retained reasoning and compaction—tripled OpenAI's GPT-5.6 scores on the ARC-AGI-3 benchmark, demonstrating that API configuration can significantly improve model efficiency …
OpenAI claims its GPT-5.6 Sol model scored 38.3 percent on the ARC-AGI-3 benchmark, beating Anthropic's Opus 5, but only when using OpenAI's own API features and two additional settings; under the off…