Tootfinder

RFK Jr. says Biden needs to prove his 'mental acuity' (Lauren Sforza/The Hill)
https://thehill.com/homenews/campaign/4496012-rfk-jr-says-biden-needs-to-prove-his-mental-acuity/
http://www.memeorandum.com/240228/p96#a240228p96

A look at the rise of free-to-use AI chatbots claiming to help with teens' mental health struggles, as experts disagree about whether the chatbots are effective (Matthew Perrone/Associated Press)
https://apnews.com/article/chatbots-me

New apps test AI chatbots to help mental health crisis
A growing number of AI chatbots are being pitched as a way to address the recent mental health crisis among teens and young adults. Free apps like Earkick can discuss complex emotional problems, offer guided meditation exercises and suggest ways for reframing negative thoughts. But experts disagree about whether these chatbots are delivering a mental health service or are simply a new form of self-help. It's a key question to the future of the industry, because apps that diagnose or treat menta…

https://sanjosespotlight.com/san-jose-not-diverting-911-calls-to-mental-crisis-hotline/

San Jose not diverting 911 calls to mental crisis hotline - San José Spotlight
San Jose is struggling to divert 911 calls related to mental and emotional distress away from police, despite the county adopting the 988 mental crisis hotline two years ago to handle those situations. A recent report shows county mental health teams in 2023 responded to just 2% of nearly 60,000 San Jose 911 calls that...

Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
https://arxiv.org/abs/2402.18526

Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
Ineffective meetings due to unclear goals are major obstacles to productivity, yet support for intentionality is surprisingly scant in our meeting and allied workflow technologies. To design for intentionality, we need to understand workers' attitudes and practices around goals. We interviewed 21 employees of a global technology company and identified contrasting mental models of meeting goals: meetings as a means to an end, and meetings as an end in themselves. We explore how these mental mode…

Athlete's Mind
Great Australian Pods Podcast Directory: #GreatAusPods

Athlete’s Mind | Great Australian Pods Podcast Directory
Podcast: Athlete’s Mind Host: Tony Bellouard Category: Sport Sub-Category: Mental Health & Well Being First Episode: 2022 Welcome to The Athlete’s Mind where we talk about the mental side of the game…

Looking at mental images: eye-tracking mental simulation during retrospective causal judgment https://onlinelibrary.wiley.com/doi/10.1111/cogs.13426 mental imagery

This https://arxiv.org/abs/2404.16461 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums
Mental health in children and adolescents has been steadily deteriorating over the past few years [ 1 ]. The recent advent of Large Language Models (LLMs) offers much hope for cost and time efficient scaling of monitoring and intervention, yet despite specifically prevalent issues such as school bullying and eating disorders, previous studies on have not investigated performance in this domain or for open information extraction where the set of answers is not predetermined. We create a new data…

Students actually buy into new-age concepts of "energy", and this messes with their understanding of science. From Finland, no less![https://www.researchgate.net/pub…

In a lawsuit, four Canadian school boards seek damages of CA$4B from Meta, Snap, and TikTok for allegedly causing learning and mental health crises in students (Yuvraj Malik/Reuters)
https://www.reuters.com/technology/canadia

Towards Generalist Prompting for Large Language Models by Mental Models
Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu
https://arxiv.org/abs/2402.18252

Towards Generalist Prompting for Large Language Models by Mental Models
Large language models (LLMs) have demonstrated impressive performance on many tasks. However, to achieve optimal performance, specially designed prompting methods are still needed. These methods either rely on task-specific few-shot examples that require a certain level of domain knowledge, or are designed to be simple but only perform well on a few types of tasks. In this work, we attempt to introduce the concept of generalist prompting, which operates on the design principle of achieving opti…