OpenAI says safety researchers can sign up for o3 preview today and that it decided not to name the new model o2 “out of respect” for the UK telecom company
here's why these ‘reasoning’ models are a giant leap Jaspreet Singh / Reuters : OpenAI unveils ‘o3’ reasoning AI models in test phase Bluesky: Glenn White / @justicar.xyz : “Out of respect” for not getting their asses sued to hell and back. [embedded post] Corey Quinn / @quinnypig.com : And if there's one thing OpenAI is renowned for, it's respecting the intellectual property of others. [embedded post] X: Ken / @aquariusacquah : as it was written in the ancient texts [image] François Chollet / @fchollet : Cost-efficiency will be the overarching measure guiding deployment decisions. How much are you willing to pay to solve X? The world is once again going to run out of GPUs. Sam Altman / @sama : if you are a safety researcher, please consider applying to help test o3-mini and o3. excited to get these out for general availability soon. extremely proud of all of openai for the work and ingenuity that went into creating these models; they are great. Forums: r/slatestarcodex : OpenAI Unveils More Advanced Reasoning Model in Race With Google
Context & Ripple Effects
OpenAI had already put its first reasoning-focused o1 models into preview for paid ChatGPT tiers, making o3 the next step in a staged release path rather than a conventional broad launch. The company is now using a safety-researcher preview to examine the new models before wider availability.
The related coverage frames o3 and o3-mini as models designed to deliberate before answering; that approach later reached a cost- and speed-oriented release in o3-mini's launch. The naming decision also shows a practical brand-clearance consideration alongside the technical rollout.
First-order effects
- Safety researchers can apply to test o3 and o3-mini, giving OpenAI external feedback ahead of general availability and limiting initial access to a defined evaluation cohort.
- OpenAI establishes the o3 name rather than o2, avoiding a direct naming collision with the UK telecom brand while concentrating public attention on the new reasoning-model line.
Second-order effects
- A preview-first rollout extends the access ladder introduced with o1's paid preview, creating pressure on rival model providers to pair capability announcements with credible testing and access controls.
- Feedback from evaluators can shape which reasoning-model capabilities are exposed at launch; meanwhile, the stated emphasis on cost-efficiency makes faster, lower-cost variants commercially important, as later reflected in o3-mini.
Third-order effects
- If this release pattern persists, frontier-model deployment will become more segmented: restricted evaluator access first, then progressively broader product tiers as safety and operating-cost constraints are addressed.
- Reasoning models may shift competition from benchmark claims alone toward the economics and governance of deliberative inference—how much reasoning is delivered, to whom, and at what cost.
The trend: Frontier AI labs are turning reasoning models into governed, tiered products whose rollout depends as much on evaluation and inference economics as on raw capability.