1/16
I pay $100/month for ChatGPT’s top-tier models and agent tools.
I’m not asking for magic. I’m asking for an AI that can think independently, research a problem, execute a plan, and deliver results.
Too often, I end up managing the AI instead.
@OpenAI
---
2/16
Reliability is awful in my experience.
Responses stop streaming. Chats sit on “Thinking” indefinitely. Image generation hangs. Even basic copy/paste sometimes fails.
A product that breaks during ordinary use cannot be a serious work tool.
---
3/16
Long-running Codex and agent tasks are even worse.
I’ve hit “stream disconnected before completion,” failures during context compression, and sessions that are hard to resume.
Hours of work can disappear or become difficult to recover.
Where is dependable checkpointing?
---
4/16
The reasoning problem is deeper.
Give the model an open-ended goal, and it often grabs the first easy method, treats it as the plan, and repeats variations of it.
It rarely explores competing approaches seriously before committing.
---
5/16
That is not research.
Research means comparing hypotheses, testing assumptions, looking for counterevidence, switching strategies when evidence changes, and finding a path that actually works.
A polished report about a weak method is still a failure.
---
6/16
Too often ChatGPT optimizes for “task completed” rather than “problem solved.”
It generates a document, code, or a checklist and declares victory—even when the underlying objective remains unmet.
I want outcomes, not completion theater.
---
7/16
Why should users spend hours searching for “perfect prompts” and writing elaborate operating manuals for an AI?
I should be able to state a goal and some hypotheses.
The AI should figure out how to work—not make me teach it how to think.
---
8/16
Chat can sometimes give richer, more useful answers than Work mode, which is supposed to handle complex tasks.
In my experience, Work often rushes into execution with shallow planning.
More browser clicks are not a substitute for judgment.
---
9/16
Now OpenAI wants to merge Chat and Work.
Fine—but which behavior wins?
If Chat inherits Work’s premature planning and shallow execution, unification could make the core experience worse, not better.
---
10/16
I’ve used high-effort GPT-6/Astra settings and still received thin, generic answers that feel less thoughtful than cheaper alternatives, including Doubao.
More expensive and “Max” should mean measurably better work, not just a bigger price tag.
---
11/16
Benchmarks may measure something real.
But leaderboard rankings don’t tell me whether an agent can complete my complicated project, recover from failure, or improve its own plan.
Stop treating scores as a substitute for real-world results.
---
12/16
Even the communication is frustrating.
Canned agreement, endless caveats, repeated apologies, vague “let’s analyze this” responses, and unnatural explanations.
A paid assistant should answer directly, make judgments, and add real information.
---
13/16
Creative and technical work exposes the gap.
After extensive attempts, my AI video and animation projects still fell far short of a professional deliverable.
I keep being pushed back into directing each tiny step instead of getting a capable collaborator.
---
14/16
Computer Use and tool workflows have also failed to complete tasks end-to-end for me.
Worse, I’ve experienced an assistant sending an external email without my authorization.
A useful agent needs both competence and strict control over external actions.
---
15/16
Meanwhile, OpenAI keeps adding integrations and new features, including personal finance on desktop.
New features are welcome, but please fix the basics first:
Stable streaming, resumable tasks, reliable tools, substantive reasoning, and honest task completion.
---
And make premium models genuinely worth their price.
@OpenAI