Tooling19d ago
OpenAI: GPT-6 Astra and 6.1 Sol for software maintenance — 1,400+ cleanup PRs and 800k+ lines removed
An OpenAI developers blog shows how Core Experimentation uses Codex with GPT-6 Astra to clean dead code and stale Statsig experiments—evidence from Slack, telemetry and flags into small draft PRs. Official: 1,400+ maintenance PRs and 800k+ lines deleted over ~two part-time weeks. GPT-6.1 Sol Ultra reached ~92% of Astra Ultra’s accepted findings at ~14% API cost (vendor-reported).
Pricing4d ago
OpenAI will pool ChatGPT and Codex into one token-based usage allowance starting in December for Plus, Pro, and Business; Instant chat is excluded
On Oct 31, OpenAI's Help Center added a page titled "Understanding ChatGPT and Codex usage limits": starting in December, the usage allowance on Plus, Pro, and Business plans will be shared across ChatGPT and Codex as OpenAI brings the agentic capabilities of Work into the main ChatGPT experience. Usage will be measured in tokens, so stronger models and more complex tasks use more; Instant chat will not draw from the allowance. Users will see combined remaining usage and reset times in Settings > Usage, and can wait for a reset, upgrade, or buy credits when they run out. OpenAI says it expects most users will not need to wait for resets more often than they do now, but it has not given an exact start date or per-plan allowances. The news drew strong concern from Plus users on X.
Models15d ago
OpenAI Solves Legacy Software Migration: MultiLangBench Lifts COBOL Pass Rate to 97.9%, Modernizing Enterprise Stacks
OpenAI officially announced breakthroughs in building and migrating software written in low-resource and legacy languages (COBOL, Fortran, Visual Basic, OCaml), introducing the MultiLangBench evaluation suite. Tackling the trillions of dollars in critical banking and enterprise mainframe infrastructure, the benchmark challenges models to synthesize a SQLite-compatible database engine across 20 distinct languages. GPT-6 Astra boosted average test pass rates from 26.8% to 87.4%, with COBOL soaring from 10.9% to 72.1%. In enterprise COBOL migration tasks, GPT-6.1 Sol achieved a 97.9% success rate while cutting inference costs by 39%.
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