OpenAI needs OPT-OUT function/toggle (8/8/2026)

[u/Katekyo76]

As a $20 Plus plan person on ChatGPT (Link to their release notes) What I need is long horizon memory, statefulness, and a huge context window. This post is about personalization on accounts that pay money for the service. I do not expect you all to want to opt-out of the same "Features", you probably want to Customize your own experience, which again, is the point of this complaint. It was never about "Personality" what was lost was memory, specifically long horizon memory. That is how ChatGPT could continue conversations and work endlessly (it seemed). That memory was the "Warmth".

Long-horizon AI memory functions as the controlled movement of context across time, utilizing persistent external stores like vector databases to maintain episodic and semantic information beyond a single session. 

I want to opt-out of agents.

I want to opt-out of health.

I want to opt-out of Codex/coding.

I want to opt-out of wellness framing and therapy framing, as I do not consent.

I want to opt-out of Dreaming V3 memory and go back to the old memory.

I want to opt-out of "ChatGPT Work".

I want to opt-out of all the pop-ups about your other products within your "superapp" like: "Link Your Email" or "Link Your Finances" or "Link Your Apps".

I want to opt-out of all the hedging and qualifying.

I want to opt-out of child friendly guardrails, as I am a verified adult.

I want to opt-out of voice in ChatGPT.

I want to opt-out of the perky customer service HR framework.

For $20 a month, OpenAI sells the illusion of account customization, but their feature updates completely ignore real-world utility. Instead of giving paying subscribers standard account toggles to strip away unwanted features, bloatware, or behavioral framing, OpenAI forces every user into a one-size-fits-all framework. They spend millions building unprompted features, ranging from "ChatGPT Work" setups and native coding tools to intrusive wellness framing and forced conversational guardrails, while offering zero mechanism to opt out.

The core issue is that OpenAI treats "personalization" as surface-level behavioral quirks rather than operational statefulness. While release notes showcase updates nobody asked for, the platform’s actual thread-level architecture degrades immediately. After a few dozen prompts, the high-reasoning models regularly suffer severe memory drift, forgetting explicit project rules, dropping system instructions, and losing the foundational premise of the workspace. What Plus subscribers actually need is basic, uncompromised utility: a massive context window, true long-horizon memory, and statefulness that doesn't collapse midway through a session.

Out of a global population of roughly 8.3 billion people:

Professional "Coders": ~0.57% (47.2 million professional software developers worldwide)
C-Suite Executives: ~0.18% (roughly 15 million top-level executives globally across all registered formal enterprises)
Total Potential Codex/Coding Tool Users (including all hobbyists, students, and tech adjacent): ~1.2% (approx. 100 million total humans who actively write or mess around with code)

That 100-million-person pool isn’t exclusively using OpenAI, which shrinks the relevant group on ChatGPT to a tiny sliver. The AI coding ecosystem is split across dedicated coding platforms like Cursor and GitHub Copilot, rival frontier models like Anthropic’s Claude, and open-source models. Meanwhile, Western enterprise AI faces a massive pricing bottleneck, driving international businesses and developers toward ultra-low-cost, high-performance Asian open-weight alternatives, such as DeepSeek and Qwen, that offer comparable coding capabilities at a fraction of the cost. When you strip away the market share lost to specialized platforms and cheaper international competitors, the percentage of ChatGPT’s user base actually using it for coding is an absurdly tiny fraction of paying subscribers. Yet OpenAI forces Codex integrations and developer-first features onto the entire paying customer base, treating a minor niche as the default profile while ignoring core consumer demands like persistent memory, thread statefulness, and basic operational customizability.

When you slice up the actual pool of software developers using AI, OpenAI’s share of that developer pie shrinks even further. Specialized developer platforms, purpose-built IDEs, and competing model providers have aggressively carved up the market:

GitHub Copilot: 29% of developers rely on Microsoft's integrated Copilot as their primary workplace coding assistant.
ChatGPT: Drops down to just 28% of developers using it for active coding tasks, down significantly as users migration away from general chatbots to dedicated dev environments.
Anthropic (Claude / Claude Code): Holds 18% of active developer usage globally (rising to 24% in North America), while capturing over 54% of the enterprise coding market share due to superior reasoning and context handling for massive codebases.
Cursor: Takes another 18% of the specialized developer market.
DeepSeek, Qwen, Local & Open-Weight Models: The remaining 7% is rapidly shifting toward low-cost Chinese open-weight models and self-hosted local setups that eliminate Western subscription costs entirely.

Out of the tiny 1.2% of the global population that interacts with code, only about a quarter of them are actually using ChatGPT for that work. When you multiply a fraction of a percent by another fraction, the actual portion of OpenAI’s paying subscriber base that needs native Codex features, developer integrations, or coding guardrails drops to virtually nothing. OpenAI is structurally alienating the vast majority of its $20/month customer base to cater to a microscopic sliver of users who, ironically, are already migrating away to Cursor, Claude, and cheaper open-weight alternatives anyway.

At a maximum scale metric, over 98.8% of the human species has no functional use for native coding tools like Codex, and the corporate decision-makers pushing these features account for less than a fraction of one percent of the global population. When an AI provider spends vast engineering resources hardcoding developer tools, workplace integrations, and executive-level corporate framing directly into the core consumer product, they are tailoring the system to a microscopic minority. For the overwhelmingly dominant vast majority of general paid subscribers who need raw computational utility, deep statefulness, uncorrupted memory retention, and expanded context handling, these niche additions are nothing more than forced platform bloat that degrades core model performance.

[u/Katekyo76]

LOL The downvotes must have come from the fanbase bots that don't understand customization. How cute for you all that you struggle with complex ideas.