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A one-day Jev study on 24,750 synthetic MentalBench cases explores classification accuracy, cost, and possibilities for psychology.
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Psychology needs to study current AI capabilities while developing a conditional research and policy agenda for human-level and superhuman AI.
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I spend a lot of time thinking about Zvi’s three-pill framework.
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An approach to homework that prioritizes time spent engaging with material, documents the AI-assisted process, and tests understanding through live discussion.
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A timestamped personal AI forecast connecting coding, AI research, takeoff, psychology, therapy, AGI, ASI, deployment, and catastrophic risk from 2027 through 2034.
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A data-driven look at psychology and mental-health AI benchmarks, where models looked strong, where they broke, and why current frontier systems may already be ahead of the literature.
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A practical guide to finding small, buildable software ideas in clinical work, supervision, teaching, business tasks, and repeated searches.
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A jagged view of where superhuman qualities may first appear in AI therapy, from availability and modality range to simulation, prediction, and treatment planning.
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A practical guide to the data path, storage decisions, and privacy responsibilities clinicians should understand before building or sharing small AI-made tools.
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Vibe coding for clinicians, plain language, knowing the task, using the on-screen preview, and what a single browser file can do, with five example builds and a single-file HTML walkthrough.
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How clinicians can use ChatGPT Image 2 to create handouts, coping cards, posters, worksheets, and psychoeducation visuals that fit the person and the clinical moment.
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A practical privacy checklist for clinicians using general AI tools without sharing identifiable client information.
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A practical step-by-step guide for clinicians building focused browser-based tools with AI and one self-contained HTML file.
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Why AI therapist competence is likely to develop unevenly and redistribute parts of the therapist role.
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Why public hostility toward AI may feel visceral, including mismatch, disgust, danger avoidance, mortality salience, and design consistency.
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Why smaller, more local, and more agentic AI systems may fit mental health care better than generic cloud chatbots.
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Learn how clinicians can use LocalScribe for psychological testing reports, psychoeducational evaluations, neuropsychological reports, and follow-up documents.
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Learn how to use LocalScribe’s Terminology and Test Measures reference libraries to improve drafting, shorthand recognition, and structured clinical writing.
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Learn practical ways to use LocalScribe custom templates for handouts, letters, supervision prep, and other structured clinical writing.
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Learn how to use LocalScribe with SimplePractice for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with TherapyNotes for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with Jane for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with TheraNest for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with Sessions Health for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with Valant for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with ICANotes for progress notes, intake documentation, treatment plans, and cleaner charting workflows.
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Learn how to use LocalScribe with WebPT for evaluations, daily notes, plans of care, and rehab documentation workflows.
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Learn how to use LocalScribe with Prompt for evaluations, daily notes, plans of care, and rehab documentation workflows.
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Learn how to use LocalScribe with Raintree for evaluations, daily notes, plans of care, and rehab documentation workflows.
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Learn how to use LocalScribe with SPRY for evaluations, daily notes, plans of care, and rehab documentation workflows.
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Learn how to use LocalScribe with Ambiki for evaluations, IEP documentation, progress reporting, and school-based workflows.
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Learn how to use LocalScribe with Frontline Special Education for evaluations, IEP documentation, progress reporting, and school-based workflows.
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Learn how to use LocalScribe with eSPED for evaluations, IEP documentation, progress reporting, and school-based workflows.
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A practical primer for clinicians on AI-assisted coding, what they can build, and how to think about privacy, publishing, and competence.
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Why AI documentation in clinical practice is fundamentally a competence question grounded in ethical responsibility, informed use, and clinician accountability.
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Why the hidden system and helper prompts behind AI documentation tools matter for clinical writing, safety, and grounded output.
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Why local versus cloud AI changes the privacy and HIPAA conversation for clinicians using AI tools.
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How clinicians can use AI for documentation while preserving authorship, clinical judgment, and ethical responsibility.
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A founder story on building LocalScribe as a local-first clinical AI documentation tool with minimal coding experience.
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Lessons learned building LocalScribe with vibe coding, including failures, guardrails, and practical workflow improvements.