🧠 Food for thought

Implications, context, and why it matters.

OpenAI’s status page shows recurring incidents after a 30 minute outage on December 2

• Another ChatGPT disruption hit within two days, after error rates on December 3 and a December 2 incident resolved that day 1.
• Downdetector (a site for user outage reports) logged over 3,400 reports at the peak, and the fix finished in 30 minutes 1.
• A community forum post claims an internal ‘code red’ memo on December 1 shifted focus to core improvements and warned of possible hiccups during engineering work 2. This has not been independently verified.
• The status page lists aggregate availability across tiers (free, paid, enterprise) and models 3, so enterprise vs free reliability is unclear when reviewing service-level agreement (SLA) commitments.

API developers should set up multi LLM (large language model) routing to handle outages

• ChatGPT served more than 800 million weekly users as of October 2025 4. Even short outages hit many users, so products built on OpenAI’s API need redundancy.
• Reports said both ChatGPT and Google’s Gemini (a family of AI models) hit snags the same day 5.
• Teams shipping AI features should use LLM gateway and routing tools (software that directs requests across multiple model providers) 6. Configure automatic failover to backup providers such as Anthropic (maker of Claude) or Cohere (an enterprise-focused AI model provider) when OpenAI returns errors.
• Vendors with observability (monitoring, debugging) plus routing tools can stand out by offering failover and latency-based routing (sending traffic to the fastest provider) 7.