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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]

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

Most hackathons reward presentations. Polished slides, rehearsed demos, buzzword-heavy pitches. We're not doing that. The Locus Paygentic Hackathon Series is 4 weeks, 4 tracks, and $4,000 in total prizes. Each week starts fresh on Friday and closes the following Thursday, then the next track kicks off the day after. One week to build something that actually works. Week 1 sign-ups are live on Devfolio. The track: build something using PayWithLocus. If you haven't used it, PayWithLocus is our payments and commerce suite. It lets AI agents handle real transactions, not just simulate them. Your project should use it in a meaningful way. Here's everything you need to know: Team sizes of 1 to 4 people Free to enter Every team gets $15 in build credits and $15 in Locus credits to work with Hos...

I’ve been tracking the companies building primitives specifically for agents rather than humans. The pattern is becoming obvious: every capability a human employee takes for granted is getting rebuilt as an API. Here are some of the companies building for AI agents: AgentMail — agents can have email accounts AgentPhone — agents can have phone numbers Kapso — agents can have WhatsApp numbers Daytona / E2B — agents can have their own computers monid.ai — agents can read social media (X, TikTok, Reddit, LinkedIn, Amazon, Facebook) Browserbase / Browser Use / Hyperbrowser — agents can use web browsers Firecrawl — agents can crawl the web without a browser Mem0 — agents can remember things Kite / Sponge — agents can pay for things Composio — agents can use your SaaS tools Orthogonal — agents c...