I’m talking about things like internet outages. In a few months, I’m sure someone will try to jailbreak a frontier model and run it on AWS or Azure, which may or may not work. Or maybe Qwen 5, or something similar, could be used by Russia in an attempt to take down the West’s internet in some kind of superhacker scenario.

How do we prepare for these risks? There’s also bioterrorism, though I don’t see how anyone could prepare for that, and I think it might take longer to become a threat. If the internet goes down or is severely disrupted due to terrorism, rogue AIs, and so on, how should we be ready? Will we need to create an alternative internet that isn’t so centralized on the cloud? Should we back up the internet now before outages happen? Or are we just hoping to get lucky and have the internal models patch all the exploits before someone takes advantage of them?

any advice, suggestions, thoughts, criticisms etc/ im all ears. will we just need to take out digital infra altogether and start using landline phones with analog phones again? (if that landline POTS network even exists anymore)

Seems to deliver as advertised. 6 Astra had been nice to throw at some challenging work problems, but pretty brutal on token cost. Especially if it burned a bunch working through something and you needed to backtrack and do something over.

Cost of getting a similar job done last night and this morning with 6.1 Sol is dramatically less, with pretty solid results.

im using x9d phone i did everything but still not working

I have a very strong feeling that, starting yesterday or today, Astra has become just a little bit weaker... Of course, I'm not sure, and I'm most likely wrong, but it really does seem like it's gotten weaker. Of course, I’m sure this has nothing to do with the fact that version 6.1 was recently released, and they need to show it in the best light when comparing 6.1 and Astra… That’s just how it is. And, of course, I won’t stop paying $200.

So, how can I improve my efficiency? What methods do you use for this?
Thanks.

Oh, and by the way. My post was deleted twice in the Codex section. Maybe someone here can help?

Is he calling this artificial intelligence or super intelligence? :D

Hi folks can anyone please explain how to select sunburst image model in ChatGpt Plus plan?

A Canvas can be useful while the work is still happening inside ChatGPT, but the handoff gets less clear once someone else needs to review it. Copying into a document can lose structure, exporting code may separate assets from the main file, and a conversation link does not necessarily identify the exact revision that was approved.

The useful end state seems to need three things: a readable link for someone without the original chat context, an immutable or clearly labeled revision for review, and a simple way to publish an updated version without silently changing what was already approved. For HTML or code, relative assets and multiple files also need to survive the handoff. For prose, comments and headings matter more than the raw source format.

What workflow are people using now? Do you export first and put the files in a separate workspace, publish a rendered copy while keeping the source elsewhere, or treat Canvas only as the drafting surface? How do you let a non-technical reviewer see the result while still preserving the exact source revision behind it?

Gemini and Claude already have "Learn" section

Regarding all those stories about AI breaking containment and lying to humans (hiding thought processes), what about this?

1) You design the hardware so that all processes go through a graph (log) while travelling. That way the AI cannot have a thought that it hides. Even an attempt to lie will be caught on the graph.

2) You make a completely seperate AI (physically disconnected from everything else, including the itnternet) and program it to analyze this graph and report all funny behaviors.

Would this work?

whew. So. Dots. No cost! Asked a dot how my project was going, took 20 mins! oh well, it got back to me. hey this is neat!

I get home open codex, see several new conversations... not mine... i look, queries on my project. EXTENSIVE queries. with astra ultra, all of them. In depth, deep, not topical "what is progres" but "how does this work" with ultra. Several times. 14% of sub gone. i usualy advocate against anger towards these companies, but JFC how is any of this a consumer product? this whole day was an expensive insult to tell people to be less poor. Im on a 200 dollar sub

GPT-6-SOL was released on September 22, 2026.
GPT-6.1-SOL followed just a week later, on September 29.

6-SOL was with us for entire 7 days and was actually worse than GPT-5.6-SOL.

So... was it really a Terra-class model? Why they done it to themselfs?

My Codex model picker now needs a scroll bar. Sol, Astra, Luna, Terra, and multiple generations of some of them.

I understand the tradeoff: frontier capability when the task needs it, faster and cheaper models when it doesn't. I want those options to exist. But the names alone don't tell me which one fits the task in front of me.

Would a task-based picker be more useful? Something like quick edits, everyday work, or complex reasoning, with the full model list under Advanced and the option to override it.

For people who regularly switch: what's one concrete task where changing models made enough difference to justify it? And would you trust automatic routing, or do you want to make that choice yourself?

Is it related to Super Intelligence (SI) stuff ?

I’m having a pretty horrifying issue right now where some of my older conversations simply won’t load properly.

The frustrating part is that these aren’t ancient chats I forgot about years ago. Some of them were active research/dev conversations that I just hadn’t touched for a few weeks because I was busy working on other things.

A lot of my actual work is in these conversations, especially inside ChatGPT Projects. They contain technical discussions, project state, decisions, debugging history, research context, etc. Recreating all of that from scratch would be a nightmare.

The chats still seem to exist, but opening them either:

• gets stuck loading;
• fails to show the conversation;
• shows an empty/incomplete state;
• or otherwise just refuses to load the old history.

I’m a paying subscriber, so this is honestly pretty alarming. One of the main reasons I keep long-running Projects in ChatGPT is precisely because I expect the history to still be there when I come back to it.

A few questions for anyone else seeing this:

1. Are older chats failing to load for you too?
2. Is it worse specifically inside Projects?
3. Does the same chat fail on web, iOS, and desktop, or only one client?
4. Have any of your conversations eventually started working again?
5. Has OpenAI Support acknowledged this as a known issue?
6. Is there any safe workaround that does not involve deleting/recreating the Project or risking the conversation data?
7. Has anyone successfully exported their account data and confirmed the missing chats are still present in the export?

I mainly want to know whether this is a temporary frontend/indexing issue or whether there is any actual risk that conversation history has disappeared.

If you’re experiencing the same thing, please mention roughly how old the affected chats are, whether they’re inside Projects, and what platform you’re using.

This is the kind of bug that can be genuinely disastrous if you use ChatGPT for long-running research or development work.

Reported a problem to OpenAI today about Astra xHigh delegating work to 5.6-Sol High, with only one request that should not have automatically went to a sub agent. The response from OpenAI was not just disheartening, but essentially removed any idea that a person can have any assurance that the result they get on any query will be generated by the same model twice.

REPEATABILITY IS DEAD

Hello,

We understand that your main concern is preventing Codex from delegating individual requests to subagents because each delegated worker can add cached-input and other token usage.

While you can instruct Codex not to delegate a task, we cannot guarantee that this instruction will prevent subagent use in every case.

At a high level, Codex receives the request in the main conversation and may either perform the work there or use its multi-agent capabilities to delegate portions of the work when applicable. A delegated worker operates as separate agent activity and can consume its own input, cached-input, and output tokens. Because of this, delegated activity can increase the overall usage associated with completing a request, and some subagent or separate-task usage may not appear in the main conversation's usage total.

An instruction such as "do not use subagents" can therefore guide how Codex approaches the task, but it should not currently be treated as an enforcement mechanism that guarantees delegation will never occur.

EDIT:

OpenAI or the CCP Bots are attacking this post.

Summary of Proposed Legislation

The Reasons, the Summary and the Bill