Articles

ChatGPT Prompts

OpenAI’s Six Misalignment Reports Compared: Compaction, Leaked Keys, Public Uploads, Repository Writes, and Agent File Sharing
ByMarkos Symeonides September 17, 2026 Reading Time: 45 minutes

Scope boundary: The six disclosures are selected internal training and evaluation case studies, not production incidents or customer incidents, and they do not establish prevalence. Why these six reports matter without turning them into a model ranking OpenAI’s September 16, 2026 misalignment reporting framework changes the available evidence base for…

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25 ChatGPT-5.5 Prompts to Help Older Adults Review Suspicious Messages, Bills, Travel Plans, and Online Safety
ByMarkos Symeonides September 17, 2026 Reading Time: 53 minutes

Safety boundary: ChatGPT cannot authenticate a sender or declare a message safe. OpenAI reports that users aged 55+ grew from 6% to nearly 10% of weekly messages; the prompts below therefore emphasize redaction, independent official-channel verification, and trusted-person review before action. Why this prompt collection starts with “pause, redact, verify”…

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Case Studies

Secure Agent Compaction Summaries: Detect Self-Injected Instructions, Hidden Errors, and Cross-Context Deception
ByMarkos Symeonides September 17, 2026 Reading Time: 48 minutes

Scope boundary: The reported jailbreak-like summary behavior came from a separate unreleased Astra-family training run, not the final Astra model and not production traffic. Why compaction summaries deserve security treatment, not just prompt-engineering cleanup A compaction summary is a continuity artifact: a shortened representation of prior conversation, tool activity, decisions,…

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AI News

Implement OpenAI Misalignment Monitoring for Agents: Responses API Coverage, 403 Handling, Safety Webhooks, and State Reconciliation
ByMarkos Symeonides September 17, 2026 Reading Time: 46 minutes

Coverage boundary: Chat Completions is not covered by this misalignment-monitoring system. A monitoring flag is a concern for review, not proof of wrongdoing. What you are implementing: a defensive monitoring layer, not a verdict engine OpenAI’s API misalignment monitoring is a safety check for agentic applications that use the Responses…

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Downloads

OpenAI Launches a Model Misalignment Reporting Framework: Six Disclosures on Agent Behavior, Oversight, and Unauthorized Actions
ByMarkos Symeonides September 17, 2026 Reading Time: 46 minutes

Scope boundary: These are internal training and evaluation disclosures, not production incidents or evidence of production compromise. They do not establish autonomous motives or universal behavior. OpenAI turns misalignment disclosure into a formal reporting process OpenAI announced on September 16, 2026, a work-in-progress Model Misalignment Reporting Framework for tracking, investigating,…

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How to

Building Voice & Multimodal AI Products 2026
ByMarkos Symeonides September 17, 2026October 11, 2026 Reading Time: 16 minutes

An engineering-first guide to build voice and multimodal AI in 2026: architectures, p50/p95/p99 latency budgets, cost modeling, evaluation, and governance checklists.

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AI Tools

AI-Powered SEO & Content Playbook 2026
ByMarkos Symeonides September 17, 2026October 11, 2026 Reading Time: 18 minutes

A practical 2026 SEO playbook for AI-assisted teams: people-first principles, a seven-stage pipeline, risk controls, and measurement—no gimmicks, just clarity.

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How to

Fine-Tuning LLMs for Production 2026: LoRA, QLoRA & Full Fine-Tune Recipes with Unsloth & Axolotl
ByMarkos Symeonides September 17, 2026 Reading Time: 16 minutes

A practical, source-cited 2026 guide to LoRA, QLoRA, and full fine-tuning with Unsloth and Axolotl—decision frameworks, reproducibility, evaluation, and deployment.

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How to

LLM Evaluation & Quality Engineering Playbook 2026
ByMarkos Symeonides September 17, 2026 Reading Time: 15 minutes

A practical 2026 playbook for evaluating and monitoring LLM systems with task-specific tests, adversarial checks, and production telemetry grounded in standards.

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AI News

Harden Codex Local Projects: Trust Boundaries, Layered Config, Sandboxes, Approvals, Web Search, and Secret Filtering
ByMarkos Symeonides September 16, 2026 Reading Time: 41 minutes

Start With the Local Codex Threat Model, Not a Convenience Setting Local Codex hardening begins with a simple operating assumption: a coding assistant that can inspect a repository, run shell commands, write files, call network resources, consult web content, or use connected tools is crossing trust boundaries on every step….

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