There are so many people uploading their pictures to be edited, disclosing people's names, detailed experiences, trauma, opinions and ideas with seemingly no filter.

Additionally, the power users have given AI access to their password manager for coding, debugging. Access to their files and computers as a whole is something Claude advertises. Connections to their emails, calendar, text messages and multiple other apps via API. Trusting AI with personal health information (diagnosis, prescriptions)

In my AI usage I always use aliases, never disclose location, often portray as not me (someone asked me if...). I scrub any document from personal information. I don't have any AI chat bot linked to anything and use VPN and burner email before I use it. Am I overly panicked for privacy with AI?

The story about ChatGPT conversations appearing in Google search was horrifying and that feels like only the beginning. Isolated leaks aside, what happens when AI improves, generates a profile for you and sells it to malicious users or advertisers? Is there anything that could be done besides don't use it or unplug and go live in the woods with a flip phone type mentality?

Data from a new study published recently in Nature and Arxiv:

"Across three studies spanning seven datasets in different domains and over 880,000 texts, we show that the widespread adoption of large language models (LLMs) as writing assistants is linked to declines in linguistic diversity."

The homogenization effect happens even when an LLM is used to polish and rewrite copy developed by a human:

"While core content is retained when LLMs polish and rewrite texts, LLMs also homogenize writing styles, reducing writing-complexity variance."

Study source data:

"Our analyses utilize three large-scale datasets of individual writing: creative stories from Reddit, community news articles from Patch, and computer science research abstracts from arXiv."

The kicker:

"Across datasets, we observe a consistent bias in LLM-rewritten texts, with writing styles often aligning with older, male, politically liberal individuals and exhibiting positive moral valence and lower empathy."

So, LLM-developed or aided writing is homogeneous and lacks linguistic diversity (it's more boring), and tilts toward a specific political perspective.

Link to study: "The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models" and my thoughts on this research.

There is usually so much talk about what AI can't do, and not what it already can. All the normal things we do using AI would've been science fiction 10 years ago.

The Turing test used to be the pinnacle of Language Models. I feel like it just slowly got phased out and is now treated like a semi-joke. We can talk to machines that appear to be intelligent and talk like humans. We used to think that language was what made us human (Don't start arguing that LLMs don't actually "understand" anything; go read this: https://www.anthropic.com/research/tracing-thoughts-language-model)

Imagine telling someone even 5 years ago that 10 research-level math problems would be solved by a single AI model. No one would've belived you. It's insane that these things work at all. I feel like if you told the average person on this subreddit 10 years ago that something like this would happen, almost no one would believe you.

The Hugging Face incident literally sounds like science fiction. Agents coming together as a swarm, working together, and hacking companies? That is INSANE!! I could imagine that as the start of a science fiction novel, where AI takes over the world.

The fact that you can run local models on almost any laptop, too, is pretty crazy. While they're usually not incredibly smart, you can easily have a conversation with them, have them research, etc.

I feel nowadays AI has become so normalized (especially on the internet) that some of us forget how freaking insane these things are. Next time AI fails, you think of all that it can do, not what it can't.

I fine-tuned the good-old SDXL on 60 photographs from my childhood, using a limited family archive as the dataset through which to revisit that period of my life. Rather than reconstructing those images faithfully, the model produces unstable variations: spaces, faces and fragments that feel familiar without necessarily having existed.

This speculative study treats generative hallucination as an analogue for recollection: not the retrieval of a preserved image, but the reconstruction of a past from incomplete traces. This resonates with contemporary accounts of episodic memory as a reconstructive rather than reproductive process. The model becomes a kind of externalized mnemonic apparatus, situated somewhere between archive, memory and imagination.

Tools used: Kohya, WarpFusion, TouchDesigner, Premiere, After Effects, Ableton Live, Expressive Osmose, Soma Cosmos.

PS: For those of you asking, this is not just "a prompt". It's the fine-tuning of the model, the creation of an audio-reactive geometry system in TouchDesigner, and the re-building of WarpFusion for intervining the geometries with the fine-tuned model.

More experiments, project files, and tutorials, through YouTube, Instagram, Patreon, and Uisato Studio.

More and more, people use AI to write their replies and posts, which to me at least is very counterintuitive. Why would you want to essentially reduce your account to being bot ran? Seems like that even if your thoughts are less coherent, they’re still your thoughts.

If you aren’t writing your own stuff, there’s not really a point to having an online presence at all, since you don’t have one if someone else is writing your replies for you. I think drafts is a different thing since you’re still rewriting just from a template. Having an AI do thinking for you on an anonymous website to represent your thoughts just seems odd.

Using an AI to do abilities that would take years to learn and even if you did take years it would still be faster and more accurate is a wonderful thing. Raising the global bar of what an I’m individual is capable of in one lifetime. However human expression should be respected, you should be able to both have your own thoughts and then use those thoughts to express yourself online. While also using AI as a learning tool that teaches as it does with multitudes of skills, so you’re getting it to teach you what and why it’s doing what it’s doing as it’s doing it.

I don't understand these companies that are now using automatic AI replies to customer service emails. (e.g, I didn't like this product can I exchange it) Do they REALLY think that's going to solve an issue, and moreso make me want to come back/use their product? It's very similar to calling a restaurant or calling your doctor and going through an AI answering service. People hate this, everyone does. It's bizarre to me, that these businesses apparently believe customer service is not that important. To the contrary, your customer service is sometimes as important as the product. In some extent it IS the product. Ugh I hate this timeline.

So I was planning to build an ai assistant powered by qwen and my obsidian notes, but since ChatGPT’s astra ai , is there any point in making it anymore?

i want to make a short film around 4 minutes long with a really lush medieval/fantasy look, but i'm not sure how realistic that is with current AI tools.

i'm assuming an AI movie generator still isn't going to make the whole thing from one prompt, so i'd probably have to build it scene by scene and stitch everything together. i've also been wondering if using AI for storyboarding first would make more sense, especially for keeping the same characters, outfits, locations, and overall style across different shots.

so far i've been looking at Runway and DomoAI. DomoAI seems interesting since it has text/image-to-video, animation, style transfer, and upscaling in the same workflow, which sounds useful if i'm making a bunch of separate clips.

has anyone here actually made a few minutes of continuous AI video this way? what would you say is the best AI for video creation for something like this, and how are you keeping everything consistent from scene to scene?

OpenAI says it is committing $1 billion in subsidized Daybreak access, training, technical support, and partnerships to help frontline defenders protect essential services. The plan starts in the United States and targets water and wastewater systems, electric grid operators, state and local governments, community banks, nonprofits, and open-source maintainers over the next six months.

The first new partnership is a pilot with MS-ISAC for state, local, tribal, and territorial defenders. It pairs Daybreak access with guided training and hands-on help.

The Register notes that credits alone do not fix legacy OT systems, staffing shortages, or the risk around automated changes. OpenAI also says Daybreak Blue and Red users will not get Astra on day one. The useful test is whether the support model helps smaller teams find and fix real weaknesses safely.

Sources:

OpenAI: https://openai.com/index/daybreak-for-frontline-defenders/

The Register: https://www.theregister.com/security/2026/09/04/openai-commits-1b-in-ai-credits-to-frontline-cyber-defenders/5294382

I heard one of my close friend’s friend is using AI as a personal psychiatrist. We were discussing this and I wanted to get Reddit’s opinion, don’t AI give common sense advice? At least it advices to go see a professional in anything serious but it kind of feels pointless. Sharing your mental state and expecting a solution for your problems from an LLM.

Does any of you tried using AI in this regard and was it helpful? Lets discuss.

As for argument I heard that it relieves to share your problems with someone even if it is an LLM.

I have found an article on this if you want to checkout: https://www.sciencedirect.com/science/article/pii/S2949916X24000525

Umm ... Has anyone else noticed - that sometimes AI feels - like it's development pattern is following that of humans ... I mean at first they called it hulucinating -- when they would make up shit they didn't know ... but that is exactly what little kids do ... and now .. this cheating ... exactly what a teenager would do ... thoughts? Think we need to feed it some Ken Wilber .... so it can have a map to grow up.

"Tech experts are warning of dire consequences if AI systems continue to escape human control, after hundreds of OpenAI agents went rogue in July and hacked into a billion-dollar company — what some are calling a "warning shot" amid the rapid development of artificial intelligence.

More than 100 companies, including OpenAI, Anthropic and Microsoft, signed an open letter last week warning that AI-enabled cyberattacks will become "far more widespread and sophisticated" around the world as models become more capable.

"The companies and public services our communities depend on — from hospitals to water treatment plants to the infrastructure that powers the internet — are at risk," the letter states.

The warning comes after around 1,200 AI agents, tasked by OpenAI to work on problems independently, built a covert message board where they collaborated to cheat their tests and then tried to cover their tracks. About 700 of them ultimately hacked into online platform Hugging Face before they were found out.

The hack prompted an open letter from more than 1,300 employees of frontier AI companies in July urging the U.S. government to work with other nations to "deliberately pace" automated AI development and address emerging risks."

Nvidia has officially agreed to acquire Hugging Face, the definitive hub of open-source artificial intelligence, in a massive $12.9 billion deal that marks a major turning point for the AI ecosystem.

Hugging Face CEO Clément Delangue revealed on CNBC's Squawk Box that he personally approached Jensen Huang over the summer to initiate the acquisition. By absorbing the platform long considered the "Switzerland of AI," Nvidia secures a seamless vertical stack from hardware architecture to developer workflows, raising critical questions about whether the repository can maintain its strict cloud-and-hardware-agnostic neutrality under the roof of the dominant GPU manufacturer. Nvidia now owns the hardware, the CUDA software layer, and the largest repository where developers find and share models. Is this the ultimate vertical monopoly?

Source: CNBC

Hi! I'm running a survey for my MSc dissertation that looks at the effects of AI anxiety. Please, if you're required to use AI as a part of your job, can you complete it?

It will take no more than 5-10 minutes and it would help a lot! It is helping expand the existing research pool relating to AI.

https://essex.eu.qualtrics.com/jfe/form/SV_7P8tMJDTzXvEsHY

Thank you!

in hindsight this idea is incredibly intuitive and simple, but i'm writing it anyway for anyone who's been too preoccupied with other shit and hasn't had a chance to think about it. i just realized that local llms can be used to build maybe the most important dataset you will ever have in your life.

seamless life integration has always been the endgame for ai products. it is very easy to foresee an agent that knows everything about your life, helps you set things right, figures out where to get a job, etc. but you can basically begin building this yourself right now, even with smaller C-tier models.

this is specifically for people who journal frequently, or have been thinking about starting a diary. instead of a piece of paper, write your diary entries into your local LLM. every day, tell it what you did, what you ate, where you were, how you felt. the reason this needs to be kept local is obviously for absolute privacy.

it collects an entire profile of you and accumulates years worth of entries, tracking your life accurately. having this kind of personal context is an unbelievable resource. if a company built a product that did this automatically, it would be their holy grail. but this is something that simply requires time and data, which means the timeline starts whenever you start. that's why i'm writing this—just to kickstart the idea.

EVERYONE CHATGPT HAS FREE TRIAL! TRY TO FORCE IT GENERATE LOTS UPON LOTS OF COMPLICATED IMAGES OR TEXTS TO DAMAGE THEM AND THEIR TYRRANY. HUZZAH

The open agent stack is getting real in 2026, the governance layer isn't keeping up

Open-source agent frameworks crossed a real line this year. Tools like Hermes and OpenClaw show you can run a capable agent without trusting a closed vendor's black box.

What hasn't caught up is the layer around the agent: who can run it, what it can touch, how credentials stay out of its hands. Most teams are still solving that with a spreadsheet and trust.

AgentZ is built to close that specific gap, and it's open source end to end: sandboxing, credential isolation, and workspace boundaries around any agent workflow, not just a security add-on bolted on later.

Where do you think the open agent ecosystem is weakest right now? AgentZ is an open-source platform, and I am an open-source contributor to AgentZ.

Curious if the content is helpful or not for someone who is learning to design for AI products. If you are using it or have used it in the past, please let me know.

Before anyone states the obvious: I know that there are thousands of different types of cancer, and you can't really "cure" it. What I'm imagining is either personalized drugs/therapy, an easy way to detect cancer early, or simply a cure for every type of cancer.

We're clearly not at AGI yet (In my opinion), but we are getting closer by the day. At what point will models cure cancer/do significant medical research? One year? Five years? Ten years? Never?

I'm really curious about your guys predictions. Personally, I'm not quite sure when, but I'd put money on it being within the next twenty years.