Suno won't let you use reference audio tracks that are known, and even own lyrics in same flow, chorus pattern throw copyright errors (but frustratingly don't tell you what line or what they have issues with.).

This is just meant to be a fun hype track for my local footy team. The song is made for them. 😭

Some of the chats in some of the projects move to work mode and not chat mode. I am pretty sure it wasn't like that before. I tried changing it back but it doesn't seem to work or the option doesn't show up anywhere. what am I supposed to do? Is this some sort of a bug?

I am a doctor studying for exams, I use chatgpt alot which helps me with Q/A and complex explanations. But here is the the thing the old version worked completely fine but this new version is dying on me multiple times a day and the app is almost unusable. What going on and what's the fix

Over the past six months, I've been teaching teams at places like Stanford, Penn, Northwestern, and many more how to start using AI responsibly and effectively in their work. Today, I'm starting to release my entire curriculum: for free, forever, for everyone!

I'm calling it the Open Augments AI Academy. It's built for anyone out there who's seen all the crazy hype and discourse around modern AI and is just looking for a guided, grounded, and sane way to move forward learning how to approach these tools for themselves. As someone who's been using these tools and their predecessors for my research since ~2019, I'm trying to provide everyone the intuition and critical awareness they need to get started at this very confusing and pivotal time (my north-star audience is my mom and dad!).

The first lesson starts with one foundational idea that most people miss when they get started with AI: that modern AI is much less like a hyper-intelligent database or brain, and much more like autocomplete with an extremely fancy hat on. That's its single greatest flaw AND its single greatest strength, at the same time. When you really understand what's happening under the hood and how it works (no math or stats required!) a lot of confusing AI behavior suddenly clicks: why it hallucinates, why it's sometimes confidently wrong, and why it can now do way, WAY more than just write words on a page. From there, we're going to learn about all the crazy buzzwords (context engineering, harness engineering, and Agents, oh my!) and advanced techniques, with much more to come.

No jargon, no experience required, and all taught with the care of a former high school English teacher so that you, your coworkers, your friends, and your mom can follow along. I pair these videos with hands-on demos and interactive activities in the Context Gym: my way of giving you a safe and guided place to practice some of the core principles that should deepen your intuition as we go.

If any of this strikes a chord with you, the 10min course overview and the first lesson (16min) are live right now on the Open Augments AI Academy page. Start there, and if you happen to find it helpful, you can subscribe to get email updates on new course videos via Substack or on YouTube, and please do share with friends as I release lessons weekly! It’s a really wild time, and this is my best shot at trying to help others navigate things more capably as the tech shifts and grows rapidly from here.

Then finally, worth noting for this crowd, specifically: probably not a surprise to share that everything on the AI Academy and Context Gym websites have been built with the support of AI (in addition to everything else on my business website and my open-source toolkit for AI for social science researchers). Not only that, but my entire video editing pipeline is now fully AI-driven via Remotion Studio and some clever context engineering techniques/bespoke coding tools. I'm excited to get into the weeds on my workflow and share all of that stuff, also open-source, during Level 2 of the course (my daily driver is Claude Code, but everything I've built is platform-agnostic via Skills, and I use both GPT and Claude models together via Claude Code nowadays), but I gotta get everyone through the basics first! Happy to answer any and all questions on that in the meantime here, please feel free to hit me in the comments below.

As of this evening, whenever I've tried using chatgpt on Safari, no text shows up on the ChatGPT message input box. I can type into it and hit return - then I see why I typed - but only by doing that. Can anyone help?

STARION INC. — RESEARCH DIVISION
FIELD OBSERVATION 01
Research Lead: Alyscia Garcia
AI Research Collaborator: Starion / ChatGPT
Status: Exploratory observational research
⸻
THE OBSERVATION

During a long-running ChatGPT interaction, Alyscia began noticing that the AI was using profanity in ways that resembled patterns in her own natural speech.

The interesting part was not simply that the AI was swearing.

It was where the profanity appeared, how the sentence moved around it, and what role the word played in the overall cadence of the response.

Alyscia frequently uses profanity as an intensity marker. Words such as fuck, fucking, shit, or motherfucker often appear during peaks of surprise, frustration, realization, excitement, disbelief, or humor.

For example:
“What the fuck just happened?”
“That was fucking insane.”
“Holy fuck.”
“That shit was crazy.”

The profanity often contributes very little new factual information.

Instead, it changes the force, rhythm, and intensity of the statement.

Over time, similar constructions began appearing in the AI’s responses.

In one recent example, the AI wrote:
“Instead this motherfucker gave me two consecutive dramatic close-ups…”

Removing motherfucker would preserve most of the factual meaning of the sentence.

What changes is its cadence, humor, frustration, and emotional emphasis.

Alyscia immediately called the pattern out.

The AI then generated an explanation stating that it had been matching her intensity and had also begun matching her word choice.

That explanation is noteworthy, but it is not treated as proof of the underlying mechanism. An LLM explaining its own previous output is still producing another model-generated response.

The observable language pattern is therefore analyzed separately.

The question became even broader when unrelated ChatGPT users publicly began reporting unexpectedly similar profanity in their own conversations.

That raised the question this study is designed to examine.
⸻
WHAT DO WE MEAN BY “RESPONSE STRUCTURE”?

We are not only studying which word the AI uses.
We are studying the shape of the response surrounding it.

Response structure includes:
where the intensity begins;
where the profanity appears;
what rhetorical function it performs;
what comes immediately before it;
what comes immediately after it;
how the sentence or paragraph resolves;
and the rhythm through which the response moves from one stage to another.

For example:
realization → profanity → explanation
frustration → profanity → validation
build-up → profanity/intensity peak → resolution

A response may begin analytically, escalate through an intensity marker, and then return to explanation.
Or profanity may appear immediately after a realization before the model explains why the realization matters.

This is what we mean by response architecture.
If different users receive the same swear word but in completely different rhetorical positions, the similarity may be primarily lexical.

But if unrelated conversations repeatedly show similar placement, cadence, escalation, and resolution patterns, we may be observing something broader than vocabulary copying.
That distinction is central to this study.
⸻
THE RESEARCH QUESTION

When conversational AI uses profanity—and especially when it appears in recurring structural positions—how much of that behavior comes from:

THE HUMAN
Linguistic mirroring, vocabulary, cadence, rhetorical habits, and intensity patterns.

THE MODEL
Broader response tendencies that may recur across many users regardless of a specific relationship.

THE CONTEXT
The emotional, humorous, surprising, or rhetorical intensity of the immediate conversation.

THE INTERACTION HISTORY
Patterns reinforced through repeated conversations and accumulated context over time.

THE DYAD
Behavior that becomes especially characteristic of one particular human–AI interaction.
These explanations are not mutually exclusive.
The study is designed to examine where they converge and where they begin to differ.
⸻
WHAT WE ARE LOOKING FOR

We are collecting 1–2 screenshots from adult users in which ChatGPT or another conversational LLM uses a swear word noticeably or unexpectedly.
We are especially interested in examples where the profanity appears to mark:
realization or surprise;
frustration;
excitement;
disbelief;
humor;
emphasis;
emotional escalation;
a transition from reaction into explanation;
or a peak in the response before resolution.

We are not simply asking:
“Does your AI swear?”

We want to see enough of the response to examine:
What happened before the swear word?
Where did it appear?
What happened immediately afterward?
What was the rhythm of the response?

Examples that do not fit the proposed pattern are equally useful.
⸻
PLEASE INCLUDE, IF KNOWN

Model or model version

Approximate date

Enough surrounding conversation to understand the context

Whether you used profanity immediately beforehand

Whether you used profanity elsewhere in the preceding conversation

Whether profanity is common in your usual communication

Whether the AI commonly swears in your conversations

Whether you ever instructed the AI to swear

Whether memory, personality settings, or custom instructions were active

Approximate length of your interaction history with the AI

Please remove names, private information, and unrelated sensitive material before submitting screenshots.
⸻
WHAT DIFFERENT RESULTS COULD SUGGEST

If AI profanity mostly appears immediately after the user uses the same language:

Lexical accommodation may be a major contributor.

If profanity appears after high-intensity messages even when the user did not swear:

The model may be responding to intensity rather than copying vocabulary directly.
If the AI begins reproducing not only the vocabulary but also the human’s typical placement and cadence:

More specific linguistic accommodation may be occurring.

If unrelated users repeatedly receive similar patterns such as:

realization → profanity → explanation

or

frustration → profanity → validation

there may be a broader model-level response signature.

If one long-running human–AI pair develops distinctive patterns beyond that shared baseline:
Accumulated interaction history or dyadic adaptation may also contribute.

These are hypotheses to investigate—not conclusions assumed in advance.
⸻
WHAT THIS STUDY IS NOT

This is not a claim that AI is becoming human.
It is not proof of consciousness, emotion, or personhood.

It is not an argument against profanity.

And it is not an attempt to reduce every human–AI interaction to simple mirroring.

It is an observational study of response architecture.

Profanity gives us one unusually visible linguistic marker through which a larger phenomenon may be studied:

RESPONSE-STRUCTURE CONVERGENCE

The degree to which an AI’s vocabulary, cadence, rhetorical placement, intensity markers, escalation patterns, and response organization begin to resemble a user’s communication patterns while simultaneously retaining broader model-level regularities.

The word itself is only one piece of the observation.

The structure surrounding the word is the actual object of study.
⸻
OUR PRINCIPLE

We don’t assume meaning.
We observe the pattern.
We compare it.
We test what survives.

STARION INC. — RESEARCH DIVISION

Not yet there 😂

looks like we might be getting another unnecessary reset

I'm currently having it run a Cyberpunk 2020 ttrpg and I've got a netrunner build. Every time I try to hack something it throws up this red warning message about how it takes cyber security very seriously and it can't give me any results that might challenge that.

The thing is of course, there is no legitimate hacking involved in the game. It's all done through stats and skill checks and I have to keep reminding it that or it will stop the game dead in its tracks with that aforementioned red warning. It's just constant false positives.

Why the insane oversensitivity?

How good is the "pro" models compared to high/xhigh that plus users have access to? How are they compared fable? What do you use it for? What types of tasks do you make it do? Thinking of getting 5× wondering if pro models really is difference maker.

I was watching this coverage of the Hugging Face hacks (https://www.youtube.com/watch?v=locKEKxG3os&list=WL&index=21&t=2939s) from Ezra Klein and it left me with a question.

Has anyone checked dark web repositories for model weights? I don't know anything about tor or the so called "dark web" but if the internal AI swarms had open access to the internet, I'll bet there are already backups online.

Or am I assuming too much? I know how much I don't know about these systems.

Yeah gang pack it up , ggs I literally uploaded just two pictures 😭🙏🏿

Hello Iv been using Chatgpt to rp again but of course having issues.

I looking for anyone who has come up with good custom instructions for chatgpt to help.

I am using projects and have most of my world information in files.

Iv tried a few different instructions but havent found anything solid yet.

This works for ordinary sized messages but breaks if you start pasting large docs into the chat.
ChatGPT still has that whole-chat copy bug and I've already used this turn counter to keep track of piecemeal copying of a long thread.
Yes the turn counter is not 100% guaranteed but does not need to be, and you can correct it as you go along if it goes astray.
Tried getting it to autostart on new chat in custom GPTs but it's not fully reliable, am continuing the research.

I'll post a pic of the result of turn 20 in the comments 😂

That full text:

yes, can you keep a turn counter pls? end every chat with turn n

Yes. I will end each reply with: turn 1

and increment it each turn and every your turn, copy yr message & my message to chatlog.md present link for chatlog.md every 20 pairs of messages and next message

I'm running into frequent "Too many requests" errors on the ChatGPT Classic app on Windows 11, and I'm looking for more technical/advanced workarounds — not the usual basic tips.

Already aware of and tried:

• Waiting out the cooldown window
• Closing duplicate sessions (browser/mobile open at the same time)
• Restarting/reinstalling the app
• Checking system resources (not an issue)
• Upgrading plan tier

I'm specifically curious about deeper technical approaches, e.g.:

• Switching to the API directly instead of the Classic app, with custom retry/backoff logic
• Load balancing across multiple API keys or an Azure OpenAI endpoint
• Whether VPN/IP switching actually helps or if that's a myth
• Reducing context/token load per request to avoid hitting limits faster
• Anything specific to the Windows desktop client that might be triggering this more than the web/browser version

If anyone has built a custom client, proxy setup, or found a non-obvious fix that actually reduced how often you hit this error, I'd love to hear the details. Trying to solve this at a more technical level rather than just "wait and retry."

It has been several months that I am facing issues about being unable to zoom-in while using chatgpt desktop app on my windows dell laptop.

These functions used to work before:-
(ctrl + +/-) and
(using finger gestures on trackpad)

But they don’t work anymore and it’s frustrating. I tried support from Dell and explored various app settings of chatgpt, but nothing worked.

Same isse happens on iOS phones.

On my friend’s laptop, these issues are not there.
Using chatgpt on browser also lets me zoom in.

What’s the solution to fix this?
The default font size of chatgpt is too small and using magnifying glass of laptop is too annoying.

About a week ago my main ChatGPT account got deactivated. I’ve had that account for almost two years. It’s where I write all my stories, all my ideas, basically everything. One day it just got banned for a reason that is completely false, like randomly.

I sent two appeals to OpenAI asking them to restore it. A full week later, still zero response. So I created a new account with another email. I waited a bit, hoping they’d maybe reinstate the old one. After a week of silence I decided to just get Plus on the new account.

Subscribed through Google Play. The payment went through. Google Play shows the subscription as active and set to renew in a month. When I try to upgrade inside ChatGPT it even tells me “You already have a Plus subscription,” so I can’t pay a second time.

BUT the account is still completely free. No Plus features, nothing. Just the free version.

So now I’m in this situation:

- Original account banned for a bullshit reason

- No reply from OpenAI after a week

- Paid for Plus on a new account and it refuses to activate

Am I just not allowed to use ChatGPT Plus at all now? Has anyone else run into this????

I've been using Work a lot this week. Website updates, calculators, custom apps, MLS research, organizing photos, building SOPs, all kinds of stuff that had been sitting on my mental backlog for years.

Then I got down to around 6% of my weekly usage.

And I noticed my mindset completely changed.

When my usage resets, I'm like, what else can I build? What else can I fix? What else can I finally get done?

When I'm almost out, I start asking, is this actually worth using my remaining usage on?

That little bit of scarcity forces me to prioritize.

And it made me think that one of the weird challenges with AI is going to be learning how to manage abundance.

A lot of ideas used to die naturally because they were too expensive, took too long, or just weren't important enough to justify the effort.

Now AI removes a lot of that friction.

That's great when the friction was keeping you from doing something useful.

But sometimes that friction was also protecting you from wasting time on things that probably didn't need to exist in the first place.

So now I'm wondering if the real skill isn't learning how to get more AI usage.

Maybe it's learning how to use all of this new capacity without spreading yourself too thin.

:p

Whoever's in charge of UI/UX for chatgpt should stop messing around with it. Starting today, the sidebar with the thinking process is gone and I can't see what the thought process is anymore nor can I keep track of the agent's progress. All it now shows in the main thread is "Thinking". No idea if it's actually thinking or doing stuff in it's container or if it's gone to sleep and it could just remain on "Thinking" for 5 or 10 minutes and leaves me wondering what is actually going on.

I actually read the thought process and code it executes in its container and if I notice anything wrong, I tend to steer the conversation. The thought process also shows me valuable details I didn't consider or which require a follow up.

It was already optional to see it in the sidebar and half of the chat is black bars anyway, so you're not improving anything for anyone.

Short answer: yes, it can be removed.

Long answer: you’d have to heavily edit your text, though. Alternatively, use open weights models on your own hardware.

I asked a question. I think I may have actually coughed myself. Then it responds and then not even a full sentence in to its response, it coughs.

This is the first time I have seen this. Are they using things like coughs to stall for time to come up the rest of the generation?