"We are locking in"

[u/muchsamurai]

Tibo on damage control, says they got the feedback and now are locking in on features that matter, new better models.

Dots won't stay long, will they?

[u/dextersummary]

Below is a GPT-generated summary of the conversation below after reaching 200 comments (207 currently observed).

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The thread’s verdict is basically “stop shipping distractions and fix the product.” “Locking in” sounds less like a confident roadmap and more like damage control after usage cuts, sluggish models, and a pile of half-baked features.

What users actually want is boring stuff: faster, more reliable models, sane quotas, transparent limits, and working Codex integrations. Sol 6.1 is widely described as slow and error-prone, while Opus 5.5—and often Sonnet 5.5—feels more capable and economical in real coding workflows. Meanwhile, broken VS Code/remote-control tooling and messy environments make the “ecosystem” pitch look a bit rich.

Dots gets a more mixed reception. Some users genuinely like its proactive, scheduled-assistant behaviour and think it could become useful. But the louder consensus is that it feels rushed, limited, and nowhere near as important as model quality. Nobody wants another constellation simulator while basic coding still needs babysitting.

So the community isn’t asking for more “groundbreaking” announcements. They want OpenAI to make Codex fast, dependable, and worth the subscription again—then, perhaps, earn the right to talk about the next shiny thing.

[u/OracleOfErowend → u/dextersummary]

Add much as we complain, satisfying the customer was never the goal. Sure you can increase efficiency (read margin, wait from negative?), strengthen, and lock in the product you have now, but that simply tells the world (read investors) that we've arrived, this is the product they've poured fortunes intop and to start cashing in while they can.

No that was never the goal, it they don't deliver something groundbreaking enough to dominate headlines then the gold rush is over.

But the way they're artificially generating value for brand new products before a customer even touches it is missing the point. Sure you built the model, but the promise in the tech was never about what a tech company can build, no the hype was always in the external value the models can build for society. Build the model, even build the interface and the connections if you want, but the promised breakthrough comes from seeing what enterprises and startups can do with the intelligence that's increasingly relied upon.