OpenAI Codex

2026-10-28

MODELS · 1 SOURCE · WIRED AI

Author deploys Codex-built AI agents to manage Premier League fantasy team; not yet outperforming humans

The author built a harness with OpenAI Codex that coordinates dozens of AI agents (news readers, modelers, critics) to select and manage a Premier League fantasy soccer team; despite improved capabilities versus years ago, the system has not yet outscored the human average. The article cites research by Haifeng Xu and others showing frontier models (reported ranking: GPT-5, Grok 4, Claude Sonnet, Gemini, Llama) improving at prediction tasks and benchmarks like Prophet Arena, while other experiments such as Prediction Arena and ForecastBench show mixed returns and evidence of models improving over time.

5.0

2026-10-22

CODING · 1 SOURCE · The Verge AI

Codex-assisted 'ns2jb' tethered jailbreak for Nintendo Switch 2 using SmileBASIC 4

A modder known as Sammy Hajhamid (pepsipu) demonstrated a software-only, tethered jailbreak called 'ns2jb' for the Nintendo Switch 2, reportedly developed with help from OpenAI’s Codex and requiring the game SmileBASIC 4; the demo ran a custom Mario Kart World with new playable characters. The exploit appears complex and tethered, and its wider impact is unclear, though forum discussion notes AI assistance could accelerate future Switch 2 hacks.

5.0

2026-10-17

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Reverse Engineer Anything (REA) links AI coding agents to Ghidra, Hopper and IDA

Reverse Engineer Anything (REA) is an open-source project (200K+ GitHub stars) that exposes reverse‑engineering tools such as Ghidra, Hopper and IDA to coding agents like Claude Code and OpenAI Codex via MCP servers, enabling agents to query disassemblers, trace functions, and iteratively inspect binaries locally; it also supports static analysis for JavaScript/Electron and .NET and is published under the MIT license.

7.0

2026-10-16

MODELS · 1 SOURCE · OpenAI

Benefit Street Partners uses OpenAI Codex to speed code review and follow-ups

Anant Kumar at Benefit Street Partners built tools to compare loan valuations and analyze credit agreements, and is using OpenAI Codex to assist with code review and to enable faster follow-up work.

3.0

2026-10-15

RESEARCH · 1 SOURCE · The Decoder

TheoPhysEval benchmark: GPT-6-Astra solves 49 of 50 theoretical physics problems

Thirty-five researchers released TheoPhysEval, a 50-problem benchmark of unpublished theoretical physics calculations with verifiable answers. GPT-6-Astra (running in OpenAI's Codex environment) solved 49 of 50 problems (98%) at an average cost under $3 per problem; Anthropic's Opus 5.5 scored 92%, Gemini 3.8 Flash 68%, and several open-weight models scored lower. Tests were run with and without web access and authors note models often performed well without internet, implying substantial memorization of the literature; the dataset and test code are available on Hugging Face.

9.0

2026-09-26

RESEARCH · 1 SOURCE · The Decoder

Nvidia's SoL-Pi automates harness optimization, cutting coding-agent token use nearly in half

Nvidia researchers introduce SoL-Pi, a system that automatically proposes and tests changes to the control layer (harness) of coding agents. On the EdgeBench tasks the most efficient SoL-Pi variant used 44.7–49% fewer tokens while reaching about 93.7% of Pi harness performance; the system was optimized on GPT-5.6 Sol and also applied to Opus 5 with similar cost savings but reduced mechanism activation, and the paper estimates hourly API savings versus native Codex/Claude Code and versus Pi.

7.0

2026-09-16

RESEARCH · 1 SOURCE · WIRED AI

WIRED’s 'PitchFly' uses open‑sourced fruit‑fly connectome to generate story ideas

WIRED reporter Will Knight built 'PitchFly', a toy project that feeds popular WIRED headlines into an open‑sourced drosophila (fruit‑fly) connectome—a 166k‑neuron map developed by researchers at Google and partner institutions—to generate novel story pitches. The connectome’s public release has spurred dozens of hobbyist and research experiments (from games to trading bots), illustrating how accessible biologically‑inspired neural simulations have become.

6.0