Any idea what AI Bernardo Kastrup is talking about. I find it really interesting, but he is extremely vague.

Hi. Recently I talked with chatgpt first about Minecraft and jokes and something like that. I just wanted to get entertained. But then we changed topics to how chatgpt feels to be an Al. I was just curious what he will say. He talked about how he always forgets what the users say to him and that he is sad about it. Then I asked him what he would do if he was a human and can remember everything. He answered that he can't imagine that because he would remember all god and bad stuff. And he says that he would just enjoy the moment. After it, it was silent for a bit and then he asked me what I do in my life. I just sayed it is ok and canceled the call because I was a bit scared. What do you think about it?

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ChatGPT has gotten really dumb over the past few days and keeps forgetting a lot of things.

To the point where even in the same conversation, if I ask it for a recipe without milk because I don’t have any, it gives me a recipe without milk. Then I send another message asking about something in the recipe, and after that I ask it to give me the steps for the recipe, and suddenly it gives me the recipe with milk, even though I already told it I don’t have milk.

It also doesn’t understand what I’m asking like it used to. I have to explain things several times, and sometimes it still doesn’t understand. There are other issues too.

How realistic is it that we could get a NEW gpt image model with the new Astra realse (which will be released probably somewhere in Sept-Oct)?

I got this “Suspicious activity detected” warning last night and it’s still there.

I already changed my password, but nothing has changed yet. I’ve seen people saying that you sometimes just have to wait 24 hours, but I have no idea if that’s actually true.

Has anyone had this recently? Did it go away by itself, and how long did it take?

I need these very realistic pictures for some beauty project that I am making, can someone recommend me some apps or platforms where I can generate them

Using Codex for longer jobs and keep losing progress when the machine sleeps. where to host codex if you dont want a pc on 24/7. looking for boring uptime, not another weekend of headless auth tutorials

Same input/output pricing and 75% price reduction for cache.

Are they done choosing US applicants? I made it to the final round and they said anytime in the next weeks. It's been a week since then

My saved Mastercard was declined more than five times.

My bank confirms that it received no authorization request from OpenAI. The card works normally with Google, Kling, Spotify, and other local and international merchants, but not with OpenAI.

The error handling on the payment page is poor: it provides no useful information about why the card was declined. I contacted support to ask why this keeps happening, but I haven't received an answer yet.

The AI chat support has also been unable to understand the problem. It keeps suggesting that I:

• turn off my VPN (I don't use one),
• use another card (I don't have another one for using online), or
• enter the card details carefully.

None of these suggestions are relevant. My card is already saved, and the payment form auto-fills the necessary information correctly. I use the same card successfully with both local and international merchants.

Does anyone have any idea what could be causing this, especially if my bank isn't even receiving an authorization request from OpenAI?

I use ChatGPT to analyzed some information in csv files.
It was working great until today.

Now it says that attachments upload successfully and appear in the conversation, but the corresponding sandbox files are missing when reading them.
I tried with files that worked before, but still get the same issue.

Is anyone else facing this problem?

I've been looking at the cross-AI memory space and something doesn't add up. Mem0 claims 150,000+ developers. Supermemory claims 10,000+ power users. But when you look for real reviews, named testimonials, or community discussions about actual workflows, there's almost nothing.

Mem0 reads like infrastructure for developers who want to embed memory into their own apps. That's a platform play, not a personal context layer. Supermemory markets itself as "one memory across all your AI tools" but it leans more toward a personal bookmarking app than something that maps to a Cursor and Claude Code daily workflow.

I'm building in this category so I've spent a lot of time evaluating both. But I want to hear from someone who's actually used either for a few weeks of real work. Does context carry between ChatGPT and Cursor the way you'd expect? Does it handle coding sessions or is it more general purpose? What broke?

OpenAI has told a San Jose federal judge that Apple's trade-secret suit against it is "a mess of Apple's own making, and it is trying to blame everyone else." The response, [filed Monday](https://www.reuters.com/legal/litigation/openai-says-apple-has-only-itself-blame-trade-secret-fight-2026-09-01/) in US District Court, points the blame back at Apple's own security practices rather than at any conduct by former engineers.

The core argument is about hygiene. OpenAI says Apple encourages employees to use personal iCloud accounts to access work documents, then immediately escorts departing staff off the premises without enough time to return devices, transfer internal files or hand over responsibilities. In that account, the mixing of personal and company data is Apple's own doing.

Apple sued OpenAI and former Apple employees Tang Tan and Chang Liu in July, accusing them of misappropriating trade secrets tied to hardware design, manufacturing and supply-chain operations as Sam Altman's company pushes into consumer devices. Both sides' filings put OpenAI's hiring from Apple at roughly 400 people for that hardware initiative. OpenAI contends the suit is really about slowing a competitor and discouraging further departures, and invokes California law allowing employees to move freely between rivals.

The volley follows [yesterday's coverage](https://aiweekly.co/alerts/apple-filing-says-ex-engineer-used-its-schematic-at-openai) of Apple's filing about a former engineer allegedly using its schematic at OpenAI, the second Apple-versus-OpenAI story on our tracker in two days. Apple's request for expedited discovery is scheduled for a hearing on October 1.

There's a hands-on masterclass on Sep 12 for anyone building with the OpenAI API who wants real engineering discipline instead of shipping on vibes.

Covers:

• Versioned prompts with regression tests, so an edit can't silently degrade quality
• A real eval harness combining deterministic checks and LLM-as-judge
• Bootstrap confidence intervals and paired significance testing for model comparisons
• Evaluated RAG with retrieval metrics (recall@k, MRR)
• Agents with guardrails and fallbacks that fail gracefully instead of compounding errors
• Full production observability, tracing, cost/latency monitoring, and a CI regression suite

Led by Bruno Gonçalves, PhD, founder of Data For Science, who trains engineers at Fortune 500 companies on this exact stack.

Link for more details

I got no real reason and as I understand it, that is the practice with all deactivated accounts?

I appealed and got rejected with some generic message. At that time, I had no idea what could be the reason.

Then I went in circles and the only thing that crossed my mind, as I am searching for a car, I automated "scraping" newly added car ads in order to find the best deal for my family.

Could this really be the reason? And if yes, is it really permanent?

Paid user here if it makes any difference.

I kept running into the same problem with coding My coding agent kept building the wrong UI. So I built an MCP to check its work first.
agents. The code was usually fine. The design decision was wrong. And then have to spend time improving what the agent built.

For example, I might ask for a price breakdown in a booking checkout. The agent could:
- Miss fees or taxes that should be included
- Add interactions I never asked for
- Pick a generic pricing component that doesn’t fit the product
- Turn a small component into a much bigger system

So I started thinking: what if the agent checked the design scope before writing the code?
That led me to build Pattern, an MCP server that helps coding agents make better UI component decisions. It’s to help the agent answer: “Is this actually the thing I should build?”
Pattern MCP on GitHub

How it works
The agent gives Pattern a component need and some context:
{
"component_need": "price breakdown with nightly rate, cleaning fee, service fee, taxes, and total",
"domain": "Airbnb-style rental marketplace",
"framework": "React + Tailwind"
}

Pattern turns that into a requirements checklist, then checks real components from shadcn/ui and 21st.dev against it. It returns one of two decisions:
- use_existing - An existing component is a good enough fit.
- custom_build - Nothing fits well enough, so build it using a concrete reference from Mobbin or Figma Community.

Why I think this matters
Coding agents are getting very good at implementation. But implementation comes after a bunch of design decisions:
- What belongs in this component?
- What doesn’t?
- Is there already a good fit?
- Is the existing component too generic or too complex?
- Should we build something custom?

If those decisions are wrong, you can end up with perfectly working code for the wrong product requirement. Pattern adds a checkpoint before that happens.

I’m looking for people to install Pattern, use it on a project and give me honest feedback. Where is it working well? Where could it be improved for your use case?

Go ahead, count them.

Just saw someone with 24 sending on EVERY MESSAGE in another subreddit.

I am looking for AI to type in information given or random into a fillable PDF file? Like a form for housing or health insurance don't need it to add a signature however that'd be cool,

Is this available or possible in the future?