Ask HN: Is ChatGPT down?
A widespread outage briefly knocked ChatGPT and several other Azure-hosted services offline, even as official status pages lagged or understated the impact. Commenters used the incident to criticize cloud providers’ opaque status reporting and limited SLAs, swap war stories about data center power failures, and share fallback strategies such as alternative AI tools, local models, and different development workflows.
Outage reports and scope
- Many commenters report ChatGPT being down across web, desktop, and mobile for about an hour or more.
- UI partially loads for some, but histories and responses fail.
- Downdetector and similar services show spikes for OpenAI and other services.
- Some note the OpenAI status page initially showed all green, later updated to acknowledge a major outage caused by an “upstream provider.”
Status pages, SLAs, and incentives
- Strong skepticism about official status pages: often slow to reflect reality, sometimes technically inaccessible during outages.
- Discussion that updating a status page can have contractual/SLA implications, creating incentives to delay acknowledging issues.
- SLAs mainly refund service fees, not business losses; several point out the mismatch between tiny credits and potentially huge downtime impact.
- Some argue this is standard for commodity services; real compensation requires expensive, negotiated contracts.
Azure / infrastructure incident
- Multiple users observe concurrent issues on Azure, Microsoft 365, Xbox Live, and large retailers, suggesting an Azure-related problem.
- Later, Azure’s status page cites a “power incident” in a South Central US availability zone, impacting multiple services, including OpenAI.
- Commenters debate how power failures happen despite redundancy, sharing anecdotes of failed generators, transfer switches, flooding, fires, and maintenance lapses.
- Language like “may experience a degraded experience” is criticized as evasive corporate/legalese.
Monitoring tools and early-warning services
- A status-aggregation service (StatusGator) is mentioned as detecting outages minutes before official acknowledgments from OpenAI, AWS, and Azure.
- One user describes a slightly confusing email/onboarding flow with that service.
Alternatives and over-reliance on LLMs
- Several people temporarily switch to other models: Claude, Google Gemini, Grok 2, local models via Ollama (e.g., mistral-nemo), or API-based usage that remains functional.
- Mixed views on Grok and Gemini: some praise capability, others worry about provider bias or ethics.
- A few emphasize not putting “all eggs in one basket” and keeping multiple AI options.
- Others question how developers now feel unable to work without ChatGPT, contrasting this with older workflows based on docs and Stack Overflow.
- Some warn that heavy reliance on LLMs may erode foundational understanding; others argue it’s just another productivity tool if you can spot and correct hallucinations.
ChatGPT Pro / higher tiers
- One detailed account argues the $200/month “Pro-Mode” is worth it for:
- Much larger context window (e.g., 128K vs ~32K),
- Fewer prompt limits,
- Better handling of complex, multi-file firmware and hardware contexts.
- Example: using Pro-Mode to analyze datasheets and code to diagnose power-draw issues, dramatically improving battery life of a product.
- Others ask how context is practically uploaded (code, datasheets, etc.) and compare with Google’s large-context models.
- Some skepticism remains about how well long-context models truly “use” very large inputs.
Cultural and ethical side-discussions
- Debate over which AI providers are more “biased” or ethical (e.g., Musk’s products vs Google), including concerns about ideology in training data and corporate behavior.
- Reflections on corporate language around outages and layoffs as shifting responsibility away from decision-makers.
- Light humor about outages marking the end of the workday and the modern equivalent of “is the Wi-Fi down?”