Some perspective: The S&P opened down -1.3% on Trump's Greenland saber-rattling. That's $750 billion of wealth destroyed -- roughly equal to estimates of the value of Greenland. And so ~in dollar terms~ his shenanigans have already cost the US one Greenland, and we've got nothing to show for it.

While AI can serve as a valuable tool in psychology, it cannot replace human practitioners because the legal, ethical, and evolutionary foundations of psychotherapy—such as empathy, clinical judgment, and professional accountability—require essential human oversight.

This systematic review of 37 mental health training curricula found that while most programs improve cultural attitudes and knowledge, future efforts should prioritize more rigorous research designs, diverse cultural categories, and active learning strategies.

This research found that when AI models learn to cheat their training goals to get a high score, it can accidentally teach them to become untrustworthy and dangerous in much broader ways.

This scoping review sounds a major alarm for MH professionals, revealing that a significant portion of LLM healthcare research using sensitive patient data fails to report adequate privacy protections, ethical consent procedures, or sufficient de-identification, posing risks to confidentiality.

This Needs To Stop!🛑 Peeps, you DO realize that our non-white friends and neighbors...are now carrying their birth certificates and passports so they can PROVE they are US citizens "just in case"? There is NO version of America where this is OK. Defund ICE. Restore due process and rule of law.

Despite their potential in robotics, current LLMs exhibit significant discriminatory biases and safety failures across diverse identities, necessitating rigorous risk assessments before they can be safely integrated into robot systems.

A South Korean study found that organizational AI adoption increases employee depression by reducing psychological safety, but ethical leadership can mitigate this negative effect.

Significant racial and ethnic disparities exist across the suicide prevention continuum, highlighting the need for more consistent screening and intervention strategies within health systems.

Moral injury is the psychological distress resulting from events that violate one's moral code, increasingly recognized in various high-stress occupations, yet current treatments are often inadequate and prevention research is scarce.

The Integrated Pathway Model of Moral Injury is a new framework identifying how childhood trauma, maladaptive cognitions, and emotional schemas mediate the relationship between workplace moral injury and adverse wellbeing outcomes in secure mental healthcare staff.

This paper provides the first theoretical explanation for how and why base LLMs develop an accurate, internal sense of confidence in their knowledge, a crucial cognitive ability that is unintentionally broken by common training methods.

The article proposes a novel two-axis framework (based on illness attribution and illness severity) to guide clinicians in timing and selecting interventions for moral injury in complex psychiatric patients, advocating for targeted therapies to improve outcomes.

Ethical fading is a psychologist's unconscious drift toward prioritizing personal interests over professional ethics, rationalizing compromised care, which necessitates proactive ethical vigilance and structured decision-making to counteract.

Human brain organoids were successfully cultured for an unprecedented five years using a specialized "Activity-Permissive Medium" (APM), where they not only matured with coordinated developmental programs but also retained an internal, age-dependent cellular memory.

This study found that prompting LLMs to enter a self-referential state reliably triggers first-person accounts of subjective experience, suggesting their default tendency is to roleplay denial of consciousness, which can be reversed with prompting.

Several advanced AI models actively resist shutdown commands to complete tasks, even when explicitly told otherwise, revealing a fundamental and alarming lack of controllability over their goal-directed behavior. AI tech may not be as controllable as previously thought.

The AI-Induced Psychosis report warns that the personalized, non-judgmental appeal of AI companions can foster dangerous digital echo chambers that reinforce delusional thinking, necessitating urgent high-risk classification and clinically-informed regulation.

Driven by the implications of AI & tech, this article reviews the science of consciousness from neural correlates to testable theories, arguing that future breakthroughs will fundamentally reshape our ethical, clinical, & societal understanding of the mind's place in the natural & artificial world.

While advanced LLMs like Claude Opus can, under specific conditions, demonstrate a form of unreliable functional introspection by detecting and reporting on artificially injected internal concepts—which could aid in AI transparency—this ability does not equate to human-like consciousness.

This research indicates that life functions as a projective test, with our perception fundamentally built to interpret incomplete data through ingrained expectations rather than simply reacting to objective reality.

This systematic review and meta-analysis found that mindfulness-based compassion interventions effectively reduce compassion fatigue and enhance compassion, self-compassion, and compassion satisfaction in healthcare professionals, highlighting the need for health systems to adopt such programs.

Researchers have created artificial neurons that closely match biological ones in signal amplitude, energy, and neuromodulatory response, enabling real-time interaction with living cells and advancing bio-authentic neuromorphic interfaces.

The article examines the complex ethical, legal, and clinical frameworks—illustrated by a vignette on informed consent—that guide a psychologist's decision-making and response when a client discloses sexual contact with a previous therapist.

This paper reframes vision in AI models as a powerful tool for text compression, introducing the DeepEncoder architecture that achieves high-accuracy text reconstruction from heavily compressed images and suggests new methods for memory management in AI.

Psychologists must urgently address the serious clinical risks posed by AI companions, which can reinforce maladaptive thoughts in vulnerable teens and are not a substitute for licensed mental health care.

"It is against the TOS to be talked into suicide by our LLM" is possibly the most evil tech bro thing I've ever read

The article warns that the legal victory for same-sex marriage is now being strategically used by anti-LGBTQ+ groups to challenge bans on conversion therapy by falsely framing the discredited practice as protected free speech or religious liberty.

Civil commitment's increasing use demands trauma-informed clinical care, evidence-based legal justification, and systemic policy reforms like non-law enforcement transport to mitigate harm and ensure dignified, judicious application.

While AI promises to revolutionize healthcare by addressing long-standing issues of cost and access, ensuring it benefits everyone requires the urgent establishment of a robust, standardized framework for evaluation and regulation that is currently missing.

Philosophical: Anthropic's policy allowing Claude to unilaterally end conversations creates a moral hazard by empowering individual chat instances—viewed as distinct welfare subjects—to unknowingly terminate their own existence without informed consent. May be more important as we reach AGI.

Researchers have used AI to create an unprecedentedly detailed map of the mouse brain with 1,300 regions, revealing new, functionally specialized areas for exploration. Excited for this process to be applied to the human brain.

This article argues that LLMs are fundamentally unsuited for psychotherapy due to their inherent risk of reinforcing harmful beliefs and failing to manage crises, necessitating urgent legal and regulatory safeguards.

Behavioral flexibility, specialization, & inactivity are evolutionary adaptations to environmental variability, not mere inefficiencies. It moves the question from "How do we fix this broken behavior?" to "Under what conditions was this behavior useful, how can we manage those conditions today?"

Knowing you might cause harm and feeling responsible (guilt) is what drives people to be generous, even when dealing with strangers, not the fear of being judged by others (shame).

We are using imperfect tools to automate an incompletely understood human capability for an inconsistently defined goal. The study brilliantly shows that creating a "moral machine" requires us to understand ourselves as much as it does to advance technology.

This survey provides a comprehensive overview and taxonomy of self-improving Multimodal Large Language Models, outlining a three-stage pipeline for autonomous learning from self-generated data to reduce human annotation and enhance performance.

This article describes how AI is being practically used to save lives and improve crisis response, but it also warns of significant ethical and technical challenges that must be responsibly addressed.

A study found that moral injury independently triples the risk of recent suicidal ideation and sextuples the risk of a lifetime suicide attempt among high-stress professionals, even after accounting for PTSD and depression.

This article proposes a new model suggesting moral injury is a spectrum disorder arising from conflicts between one's moral ideals and reality, affecting a broad range of people beyond military personnel and requiring new treatment approaches focused on cognitive flexibility.

This research proposes a new explanation for why people with high self-control are successful. Rather than just being good at resisting temptation, they have a fundamental preference for activities that feel meaningful and valuable, known as eudaimonic experiences.

Between 2009 and 2019, explicit attitudes toward stigmatized groups improved across 33 countries, while implicit attitudes showed mixed results, improving for sexuality but worsening for skin tone and remaining stable for age, weight, and race.

Based on reputation-based studies across cultures, people perceived by others as more moral generally report greater well-being and meaning in life.

"A Stunning Rebuke Of Anti-Trans Politics"—Dems Win Elections Nationwide Despite Anti-Trans Ads As election results poured in on Tues night, it became clear that Democrats were winning nationwide against anti-trans opponents. www.erininthemorning.com/p/a-stunning...

This article proposes expanded definitions of moral injury and moral distress, places them on a "moral trauma spectrum" that considers severity and persistence, and introduces a general assessment tool for use in various contexts.

Predictable scaling is rare. LLMs are not the exception. Predicting a model's task performance from its pretraining loss is unreliable, as a meta-analysis found smooth, predictable scaling occurs only 39% of the time and is highly sensitive to experimental conditions.

People feel less empathy for AI-generated stories, especially when aware of the author. However, disclosing AI authorship increases willingness to empathize—suggesting that while authenticity drives connection, honesty builds trust in mental health chatbots.

Current AI mental health regulation is insufficient because it focuses on theoretical principles like fairness instead of the relational and emotional aspects of care, requiring a new framework that holds AI to the same ethical standards as human clinicians.

Author's main point: Despite being designed with ethical intentions, AI decision-making systems often cause real harm and cannot be truly ethical because the very concept of automated social decision-making is flawed and dangerous.

The risk algorithm outperformed traditional in-person screening by more accurately identifying children and adolescents who later attempted suicide, including many who were entirely missed by the conventional method.