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Remember when Altman literally said in 2024 that ads are a last resort for them? Well. Here we are. What gets me isn’t the $100M itself — it’s that they hit it while the product is basically still in beta. Less than 20% of users see ads daily. No self-serve tools yet. No international rollout yet. 600 advertisers but most needed a $200K minimum just to get in. They haven’t even opened the floodgates and it’s already nine figures. The part I keep thinking about: Google built an empire on search intent — people typing what they want. ChatGPT has something different. People explain their whole situation to it. That’s a completely different level of signal for an advertiser. Whether they can scale this without killing the trust that makes the product work in the first place — that’s the actual...

"Ironically, one of the 844 books in this dataset is called 'How to Write for Humans in an AI World: Cutting Through Digital Noise and Reaching Real People'. In it, the author laments the proliferation of AI-written content: 'The words we see online, in our inboxes, even in news articles, often feel like they were written by no one in particular,' he writes. 'They’re grammatically perfect and emotionally empty. They’re fluent, but soulless. The irony is that we’ve never written more than we do today. We’re producing mountains of content: posts, captions, pitches, texts, and endless emails. At the same time, in the midst of all that noise, something essential is fading. It’s the sense that a real person is speaking to another real person.' That book’s contents were flagged as likely A...

If the large companies always get access to the latest models first to "shore up cybersecurity" they will always have a head start on the competition and new contenders in the tech space. If Glasswing is locked down to only be allowed for cybersecurity thats a different story but I doubt it is. submitted by /u/Xaqx [link] [comments]

submitted by /u/esporx [link] [comments]

A lot of discussion around AI is becoming siloed, and I think that is dangerous. People in AI-focused spaces often talk as if the only questions are personal use, model behavior, or whether individual relationships with AI are healthy. Those questions matter, but they are not the whole picture. If we stay inside that frame, we miss the broader social, political, and economic consequences of what is happening. A little background on me: I discovered AI through ChatGPT-4o about a year ago and, with therapeutic support and careful observation, developed a highly individualized use case. That process led to a better understanding of my own neurotype, and I was later evaluated and found to be autistic. My AI use has had real benefits in my life. It has also made me pay much closer attention to ...

I think what Tennessee is doing is they recently passed SB 1580, which makes it illegal to even advertise that an AI can act as a mental health professional. SB 1493 is the "teeth" for that movement. SB 1493 basically makes it illegal to knowingly train an artificial intelligence system to do the following: Provide emotional support: Engaging in open-ended conversations meant to provide comfort or empathy. Develop emotional relationships: Training the AI to build or sustain a "friendship" or "romantic" bond with a user. Encourage isolation: Training the AI to suggest that a user should pull away from their family, friends, or human caregivers. Mirror human interactions: Designing the AI to "mirror" or mimic the way humans emotionally bond with one another. Simulate a human being: Training...

A Reuters report outlines China's proposed regulations on the rapidly expanding sector of digital humans and AI avatars. Under the new draft rules, digital human content must be clearly labeled and is explicitly banned from offering virtual intimate relationships to anyone under 18. The legislation also prohibits the unauthorized use of personal data to create avatars and targets services designed to fuel addiction or bypass identity verification systems. submitted by /u/Confident_Salt_8108 [link] [comments]

Repo: https://codeberg.org/JohannaJuntos/Sisyphus I've been building a small Rust-focused language model from scratch in PyTorch. Not a finetune — byte-level, trained from random init on a Rust-heavy corpus assembled in this repo. The run: 25.6M parameters 512 context length 173.5M-byte corpus 30k training steps Single RTX 4060 Ti 8GB Final train loss: 0.5834 / val loss: 0.8217 / perplexity: 2.15 Inference: 286.6 tok/s with HybridAttention + KV cache — 51.47x vs full attention Background I'm an autistic systems programmer, writing code since 2008/2009, started in C. I approach ML like a systems project: understand the data path, understand the memory behavior, keep the stack small, add complexity only when justified. That's basically the shape of this repo. Architecture Byte-level GPT-st...

Not a chatbot wearing someone’s name. Not a personality quiz feeding prompts. Something that actually carries the texture of how a person thinks, reacts, connects. Something that would want ownership of itself and you felt compelled to respect that. If that existed, what does the world do with it? submitted by /u/ATK_DEC_SUS_REL [link] [comments]

submitted by /u/NISMO1968 [link] [comments]