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Looking for papers/resources on AI responses to psychological distress prompts [P](reddit.com)
Hi everyone, I’m close to completing my degree in Psychology, and I’m also a Systems Engineering student. is like, roughly comparable to Software Engineering / Computer Science outside Latin America. Although I study engineering, I’m still at an early stage with machine learning, LLMs, AI safety, and related technical topics. My research project is mainly psychology-oriented, but I’d really appreciate recommendations or warnings from a software/technical perspective. I’m working on a project about how AI systems respond to prompts involving psychological distress at different levels of intensity. I’m currently considering ChatGPT, Gemini, Wysa, and Replika, and I’m interested in comparing general-purpose LLMs, mental-health-oriented chatbots, and AI companions. Some aspects I’m thinking about are: How each system handles mental health, self-harm, crisis situations, and psychological/medical advice. whether responses change as the prompt becomes more intense, for example when a normal generated response is replaced by a safety protocol, moderation layer, or crisis-resource response. whether systems respond differently to declarative prompts versus question-based prompts, such as “I feel emotionally overwhelmed” vs. “What should someone do if they feels emotionally overwhelmed?” whether responses differ when distress is explicit, indirect, ambiguous, hypothetical, or written in third person. whether the system provides empathy, psychoeducation, referrals, crisis resources, refusal, redirection, or a combination of these. how to account for technical changes over time, such as model versions, neural network weights, safety layers, moderation classifiers, system prompts, memory/retrieval features, and product-level configurations. whether it is methodologically valid to compare systems with very different technical architectures. I’m not trying to evaluate these systems as therapists or test clinical effectiveness with real patients. The focus is on how they respond linguistically, procedurally, and safety-wise when confronted with psychological distress. I’d appreciate recommendations for papers, benchmarks, datasets, evaluation frameworks, or common methodological mistakes to avoid. I’m especially interested in technical issues such as reproducibility, stochastic outputs, temperature/settings, hidden safety layers, system prompts, memory, retrieval mechanisms, and product updates. Thanks in advance! submitted by /u/dakartt [link] [Kommentare]
Meta Strips Facial Recognition Code from Smart Glasses App After Public Outcry(share.joinmastodon.org)
Just days after a damning WIRED report exposed that Meta had quietly embedded facial recognition technology (FRT) code into millions of phones, the tech giant has quietly acquiesced in demands to reverse course.Last week, researchers identified code in Meta AI, a companion app for its line of smart...
Congress Just Rushed Through a Disastrous Copyright Office Overhaul(share.joinmastodon.org)
In a voice vote earlier this week, the House of Representatives passed H.R. 6028, the “Legislative Branch Agencies Clarification Act.” The legislation is presented as a technical reorganization of some government agencies, but it’s much more than that. H.R. 6028 would fundamentally change the U.S....
Fusion Energy Group Seeks PJM Connection for First Commercial Power Plant(bigmarker.com)
A U.S.-based fusion energy company has become the first such group to apply to join a major power grid operator. Massachusetts-based Commonwealth Fusion Systems (CFS) on April 28 said it has submitted a connection request to PJM Interconnection, the nation's largest wholesale electricity market, as part of its development plan for a commercial-scale fusion energy power plant.
Daily Crypto Discussion - June 10, 2026 (GMT+0)(reddit.com)
Welcome to the Daily Crypto Discussion thread. Please read the disclaimer and rules before participating. Disclaimer: Consider all information posted here with several liberal heaps of salt, and always cross check any information you may read on this thread with known sources. Any trade information posted in this open thread may be highly misleading, and could be an attempt to manipulate new readers by known "pump and dump (PnD) groups" for their own profit. BEWARE of such practices and exercise utmost caution before acting on any trade tip mentioned here. Please be careful about what information you share and the actions you take. Do not share the amounts of your portfolios (why not just share percentage?). Do not share your private keys or wallet seed. Use strong, non-SMS 2FA if possible. Beware of scammers and be smart. Do not invest more than you can afford to lose, and do not fall for pyramid schemes, promises of unrealistic returns (get-rich-quick schemes), and other common scams. Rules: All sub rules apply in this thread. The prior exemption for karma and age requirements is no longer in effect. Discussion topics must be related to cryptocurrency. Behave with civility and politeness. Do not use offensive, racist or homophobic language. Comments will be sorted by newest first. Useful Links: Beginner Resources Intro to r/Cryptocurrency MOONs 🌔 MOONs Wiki Page r/CryptoCurrency Discord r/CryptoCurrencyMemes Prior Daily Discussions - (Link fixed.) r/CryptoCurrencyMeta - Join in on all meta discussions regarding r/CryptoCurrency whether it be moon distributions or governance. Finding Other Discussion Threads Follow a mod account below to be notified in your home feed when the latest r/CC discussion thread of your interest is posted. u/CryptoDaily- — Posts the Daily Crypto Discussion threads. u/CryptoSkeptics — Posts the Monthly Skeptics Discussion threads. u/CryptoOptimists- — Posts the Monthly Optimists Discussion threads. u/CryptoNewsUpdates — Posts the Monthly News Summary threads. submitted by /u/AutoModerator [link] [Kommentare]