OpenAI AI Updates: April 27, 2026

1. Sam Altman Publishes “Our Principles” Framing OpenAI’s AGI Stance

OpenAI. Sam Altman published a short essay laying out five principles meant to guide OpenAI’s work through the AGI transition, emphasizing user empowerment, decentralized access to capability, and a deliberate framing of superintelligence as something whose benefits should accrue to “billions of people” rather than a small set of incumbents. The piece reads as a public-facing values statement aimed as much at policymakers and prospective enterprise buyers as at researchers, anchoring OpenAI’s positioning while regulatory debates around AI concentration intensify in the US, EU, and UAE. There is no new product or capability attached, but the document is likely to be cited in OpenAI’s policy submissions and partnership discussions in the coming weeks. Source

2. OpenAI Folds Codex Back Into the Main Line With GPT-5.5

OpenAI. OpenAI has retired the standalone Codex coding model line, with Head of Developer Experience Romain Huet confirming that GPT-5.3 was the last dedicated Codex release and that GPT-5.5 absorbs all coding-specific capability into the base model. The merged model is described as substantially better at agentic coding and computer use, using fewer tokens on the same coding benchmarks while charging roughly 20% more per task on net. This is the second time OpenAI has discontinued the Codex brand — the original was killed in 2023 and revived in May 2025 — and the move reflects a broader product simplification toward a single frontier line that handles both general reasoning and code-heavy agent loops. Source

3. OpenAI Tells GPT-5.5 Developers to Throw Out Their Old Prompts

OpenAI. OpenAI released a GPT-5.5 prompting guide arguing that prompts tuned for GPT-5.2 or 5.4 actively degrade performance on the new model, and recommending developers start from a minimal, outcome-focused baseline. The guide pushes a seven-part structure — role, personality, goal, success criteria, constraints, output format, stop rules — and tells teams to default to “low” and “medium” reasoning effort before reaching for higher settings, reserve absolute language (“ALWAYS”/“NEVER”) for genuine invariants like security policy, and explicitly set retrieval budgets for fact-based answers. OpenAI suggests using Codex (the agent, not the model) to bulk-rewrite legacy prompts, an unusually direct admission that GPT-5.5’s behavior shifts are large enough to require systematic prompt migration rather than incremental tweaks. Source