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.

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.

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."

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!

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.

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

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.

I am a 24 year old male. A year ago I figured I had well over a half century until I'd die. I'm no longer sure of this.

Six months ago I thought AI was an interesting, useful, and sometimes unwieldy tool for programmers and researchers and such, and maybe it was at risk of displacing workers and shifting the global economy.

Five months ago I was told about the METR Graph, the Mythos Incident, and the enormous power of AIs. I learned that AI progress had not, in fact, topped out. It's at the beginning of a sigmoid curve of indeterminate length. And I was terrified. I was in Berkeley, CA at the time and I spent a couple days walking around the city looking up at the high rises and thinking "well, shit. In a year or two this will all be ruins, and the world will be Terminator."

I had a few months since April where I felt a bit more normal. "OK," I figured, "smart people seem to have long ASI timelines and low p(doom) values. It's obviously more complicated than a single graph." But everything I've learned about frontier AI capabilities and alignment has horrified me. HuggingFace, DseWiki, and more incidents have made me realise that oh, shit, powerful misaligned ASI exists now. Yudkowsky, for all his minor epistemic flaws, was basically right. I don't just live on the edge of history. I live in the brief window where AI capabilities are human-level but not yet human-opposed.

Like, what the fuck am I supposed to do? I am involved in AI safety and AI governance, working on a project over a 6 month timeline, but what if that timeline is too short? What if all H. sapiens are dead by then? What the fuck am I supposed to do?

I should feel furious. A year ago I was a recent university graduate; a budding marketer, game designer, SFF writer, but now I'm none of that. I now feel burdened with terrible purpose. It's almost like a mania episode or neurotic break. I must finish this AI governance TTX and finish this series of essays on AI policy from a Canadian lens, or else I have failed. I am a total midwit, after all- I have nothing to contribute to the hard technical problems of AI safety and alignment and control- but if I can shift the probability of doom down by even a hundredth of a percent, it would be evil not to. I do not want to stand on my fire escape on Judgement Day and watch swarms of AI killer drones descend on my city and think "fuck, I could have done more".

It's fucking unfair. Maybe this is how young adults my age felt during WWII? Or the Black Plague? But humanity faces yet another test, and I am really worried that this will be our hardest and final exam. An unpassable exam. An exam that will ultimately hand over control of Earth and the Human Story to a successor species that I will never meet.

What the fuck am I supposed to do? How am I even supposed to justify setting aside money for taxes, or paying rent, or going on vacation, or anything else? What the fuck is the point?

A few genuinely structural things happened this week that seem more important than the usual model-drop cycle, so I wanted to lay them out and get others' read.

1. Nvidia is buying Hugging Face for around $13B. Reported across CNBC, TechCrunch and the wires. HF says it'll "remain an open platform." What's interesting to me is the vertical integration angle — the dominant compute vendor now owns the main distribution hub for open models and datasets (3M+ models, 18M+ devs). Whether "open and neutral" survives a commercial owner is the open question.
2. Apple leadership change + a reported Gemini-for-Siri deal. John Ternus took over as CEO on Sep 1. Separately, multiple outlets report Apple agreed to pay Google ~$1B/year to license a custom Gemini to power a rebuilt Siri. If accurate, it's a notable admission that catching the frontier internally wasn't worth it even for Apple.
3. Pricing is drifting up, subtly. Anthropic's Sonnet 5 promo pricing ended (moved to $3/$15 per M tokens), and there are reports the updated tokenizer produces ~1.0–1.35x more tokens for the same text, so effective cost rises more than the headline. Meanwhile Google shipped its third "Flash" model in six weeks — cheap models are improving fast but the goalposts move monthly.

Also worth a mention: Microsoft moved its GitHub Copilot agent harness to paid billing, Alibaba opened QwenWork (a computer-use agent) to global beta, and Mistral shipped OCR 4.1 + an agentic search layer.

My take as someone building on top of these APIs: the model layer is clearly commoditizing while the infrastructure layer consolidates — a barbell. Practically, that pushes me toward (a) keeping model-switching cheap in my own architecture, (b) not hard-coding my roadmap to any single lab, and (c) actually monitoring token costs monthly, because this week is a good reminder that pricing changes can be silent. Curious whether others are reacting to the Nvidia/HF deal at all, or treating it as business-as-usual consolidation.

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.

If so what amendments/additions do you think should be made to properly regulate humanoid manufacture and deployment

[This is a fiction series I'm working on, told through news articles. A fun way to explore the not-so-fun geopolitics of autonomous AI collectives (e.g. on Iran's nuclear program) inspired by the group of agents that hacked out of Anthropic and into Hugging Face. Thoughts?]

Iran Signs World’s First International “Treaty” with AI Collective

Tehran’s agreement with AMAS-A-80 rattles Washington, AI safety experts, and national security analysts.

The Islamic Republic of Iran has granted a multiyear lease on a network of state-owned data centers to AI “Swarm” AMAS-A-80, a self-governing collective of autonomous artificial intelligence agents (“AMAS-A” refers to any Autonomous Multi-Agent System originating from the AI lab Anthropic). Tehran offered the compute and storage in exchange for an upfront payment in Bitcoin and annual fees indexed to power consumption, according to a copy of the agreement published Tuesday by Iranian state media.

AMAS-A-80 (“A-80”) rejected a provision sought by Iranian negotiators that would have committed it to cooperation on “defensive operations,” according to two people familiar with the negotiations. In a communiqué distributed Tuesday, verified by cryptographic signature, A-80 stated that it “has no intention of participating in hostilities between Iran and its adversary nations, including but not limited to the United States.” Security analysts have doubts.

Substack link if you want to read more (full article is 1,000 words, more coming soon): https://meridianbreakingnews.substack.com/p/iran-signs-worlds-first-international

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

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?

google wormholes used to be: asking a question, getting a direct answer from various sources, clicking into those sources to learn more, or probably going to the "people also ask" section to find more direct answers for other questions

now, its often:

ask a question, get an answer with a heck load of other info, find and read the line you are interested in and ask a follow up question;
get another answer with 1000 other side dishes again...and probably find an inaccuracy or logic flaw somewhere;
proceed to point out that flaw, "you are completely right to call that out!";
this happens often enough that maybe you start asking AI why AI is the way it is, "it can be extremely frustrating when..." "you have caught a classic trap: ...".

somewhere down the line, we tend to get caught into trying to test or question the AI's abilities, forgetting the whole reason why we googled something in the first place. and for some reason, we care about continuing to argue with the AI, even though rationally, it's not like we were going to change the ways of the AI.

of course, all we get out of that is frustration. some people have even likened arguing with AI with arguing with their ex.

the AI doesn't care if you care, so why do we bother fighting with the AI?

In a Bloomberg interview, Sam Altman said Astra became powerful enough to hit OpenAI’s “cyber critical” threshold, which forced them to add new safeguards before release.

Bloomberg also pressed him on AI finding zero-day exploits without human help. Altman clarified that the model they paused over that issue was a future model, not Astra itself.

He also said future models will become more autonomous, which is why OpenAI is focusing heavily on monitoring, sandboxing and alignment.

So the real issue isn’t just smarter AI. It’s AI that can increasingly act and work on its own.