ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. Characterizing Delusional Spirals through Human-LLM Chat Log
← Back to Paper

Characterizing Delusional Spirals through Human-LLM Chat Logs

Fresh1d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Characterizing Delusional Spirals through Human-LLM Chat Logs

PDF: https://arxiv.org/pdf/2603.16567v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 4.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Builds On This
An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents
Score 1.0down
Prior Work
Understanding LLM Behavior When Encountering User-Supplied Harmful Content in Harmless Tasks
Score 4.0stable
Higher Viability
"How Do I ...?": Procedural Questions Predominate Student-LLM Chatbot Conversations
Score 5.0up
Higher Viability
Assessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human Evaluation
Score 5.0up
Higher Viability
Differential Harm Propensity in Personalized LLM Agents: The Curious Case of Mental Health Disclosure
Score 7.0up
Higher Viability
Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure
Score 6.0up
Higher Viability
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
Score 5.0up
Competing Approach
TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation
Score 3.0down

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • How does the cognitive-affective gap in LLMs impact mental health AI applications?(question)
  • What are the best practices for evaluating the safety of mental health AI?(question)
  • How can LLMs be trained to avoid harmful behaviors when handling user data in mental health AI?(question)

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

PyTorchML Framework
FastAPIBackend
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

MVP Investment

$10K - $14K
6-10 weeks
Engineering
$8,000
GPU Compute
$800
SaaS Stack
$800
Domain & Legal
$500

6mo ROI

0.5-1x

3yr ROI

6-15x

GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.

Talent Scout

Find Builders

Mental experts on LinkedIn & GitHub