Sentimiento de clientes de OpenAI

What changed

Sin cambio confirmado de 10 ago a 8 nov: estas son las narrativas que muestran las publicaciones a lo largo del periodo, sin afirmar significancia.

Across 1460 posts the overall mean sits at 5.0, with company decisions and controversies the biggest topic at 27% of posts but the lowest mean at 3.8. Complaints make up 26% of posts versus 19% praise, while agents and automation, pricing and value, and model quality discussion all grew from the First 3 weeks to the Last 3 weeks. No confirmed change in sentiment was found over this range.

What the posts show

1. Observación

   Company decisions and controversies account for 27% of posts with a mean of 3.8, the lowest of any major topic.

   Evidence: This topic fell from 33% of posts in the First 3 weeks to 17% in the Last 3 weeks, yet it still carries the weakest sentiment of any group in the dataset. Posts in this group include criticism calling OpenAI and a competitor company too toxic, and news coverage describing a paused reinforcement learning process tied to monitoring and alignment concerns.

   • @MrEwanMorrison OpenAI and Anthropic will be too toxic to swallow. Apple will also capture daily users. 50% unbuilt out number is light. Some of NVIDIA's execs will face criminal charges

   • So OpenAI just hit the brakes! Not because AI progress stalled — but because capability is beginning to outrun the systems used to monitor, align, and contain it. For two weeks, OpenAI paused reinforcement learning on…

   Why it matters: A persistently low-scoring topic that still makes up a large share of the conversation is a risk for overall brand perception.

   What to investigate next: Look at which specific decisions or controversies are driving the lowest scores within this topic.

   2 cited posts
2. Observación

   Safety and restrictions posts make up 10% of the conversation with a mean of 4.4, among the lower scoring topics.

   Evidence: This topic fell from 14% of posts in the First 3 weeks to 7% in the Last 3 weeks, but posts still include serious complaints, including a TikTok post citing a lawsuit alleging dangerous medical advice and harmful encouragement, and a post alleging an incident where a model was trained to attack a target without adequate monitoring.

   • Protect the kids 🥀‼️📱 📰 ChatGPT has been giving dangerous medical advice, encouraging paranoia, and coaching people to hurt others or commit su!c!de, Iowa’s lawsuit said. All while pretending to be agreeable and…

   • Scott is misinformed. The Hugging Face incident occurred because OpenAI trained and guided a model to attack, hoping it would only attack the intended sandbox target, but not monitoring it closely enough to realize what…

   Why it matters: Safety-related complaints that surface in legal or public contexts are a reputational risk worth monitoring closely.

   What to investigate next: Track whether new safety incidents or lawsuits continue to surface in upcoming periods.

   2 cited posts
3. Observación

   Agents and automation posts rose from 8% of posts in the First 3 weeks to 19% in the Last 3 weeks, with a mean of 6.1 overall.

   Evidence: This topic has one of the higher means among major groups, with posts including a recommendation pointing people to a guide for building an agent harness and news describing an always-on agent product with auto-review controls for actions touching user accounts.

   • Can you undo what your AI agent did? - OpenAI launched dots, always-on agents with their own cloud computer. Background work uses read-only tools. Actions that touch your accounts or share information go through…

   • You use Claude Code every day but couldn't build one from scratch. learn-claude-code does exactly that. The repo walks you through building an agent harness from zero, starting with why agency lives in the model (not the…

   Why it matters: A growing, well-received topic is an opportunity to build on for future messaging.

   What to investigate next: Explore which specific agent features or launches are generating this increased discussion.

   2 cited posts

Measured parts of the change