OhMyself

Jack's notes on AI, software, and the industry around them.

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21 posts

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2026

  1. Codex Product Design: Design Website and App UI

    Two methods for better UI with Codex: use the Product Design plugin to explore three directions for a website or app, then polish it with the award-tier prompt.

    Codex, UI Design, Prompting, AI Workflows

  2. Why OpenAI Is Sprinting: Inside the AI Bubble's Capex Trap

    OpenAI's 28-day sprint, Anthropic's $2T IPO bid and $800B of hyperscaler capex define the AI bubble's most dangerous phase: real tech, fragile cash flows.

    AI, OpenAI, Cloud Infrastructure

  3. Apple AI Strategy: Who Controls the Next Action?

    Apple’s AI strategy connects Siri, Foundation Models and App Intents. What its partnerships and agent research establish, and what still needs testing.

    AI, AI Agents, Apple

  4. OpenAI Dots and the Economic Paradox of Personal Agents

    OpenAI Dots and GPT-6.1 Sol show the personal agent war has moved from model IQ to inference economics. Why cross-subsidization will decide the First Layer.

    AI Agents, OpenAI, Cloud Infrastructure

  5. Why AI Agents Need a Mac: The Hidden Virtualization Limits

    Why AI coding agents from Cursor to Devin need real Macs for iOS builds, and the hidden limits: a 2-VM kernel cap, blocked snapshots, and 24-hour leasing rules.

    AI Agents, Cloud Infrastructure

  6. September 2026 AI Model Rankings: Reading the Chart

    Read the September 2026 AI model rankings as a dated tier chart, with its attribution, missing methodology, and limits made clear before choosing a model.

    AI, Model Evaluation, Claude, OpenAI, AI Agents

  7. OpenClaw Isn't Dead: It Lives in Big Tech's Answers for Agents

    Why OpenClaw's early architecture—persistent environments, computer use, and local runtimes—now defines how Google, OpenAI, Anthropic, and Meta build AI agents.

    AI Agents, Cloud Agents, Meta Muse, Grok Bot

  8. Meta Muse and Grok Bot: Are Cloud-Hosted Agents the Next Form?

    Meta Muse and Grok Bot give each agent a persistent cloud computer. Are always-on VM agents the next form? Plus usemuse.lol, built entirely inside Muse.

    AI Agents, Meta Muse, Grok Bot, Cloud Agents

  9. How Chinese Apps Detect Mobile VPNs: Signals and Limits

    How Chinese apps can detect mobile VPN signals through network APIs, proxy settings, DNS behavior, and location mismatches—and what those signals cannot prove.

    VPN, Privacy

  10. How Windsurf Split Into Google Antigravity and Devin

    How Windsurf split into Google Antigravity and Devin Desktop—and why Cognition's quiet SWE-2 launch makes that strange AI coding history matter again.

    AI, AI Coding

  11. Why ChatGPT Can Feel Less Capable: What to Check

    When ChatGPT feels less capable, check model selection, reasoning effort, context, and repeatable results before treating a bad answer as a hidden downgrade.

    AI, OpenAI

  12. GPT Image 2.5: Flare, Sunburst, and 12 Prompts

    Explore GPT Image 2.5 Flare and Sunburst, with 12 reusable prompts, eight generated examples, and a practical look at speed, image quality, and editing.

    AI, Image Generation

  13. AI Workflows: How to Choose Models and Agents

    A practical AI workflows guide for choosing models, designing agents, controlling costs, and evaluating real work without trusting benchmarks alone.

    AI, AI Agents, Model Evaluation, Codex

  14. GPT-5.6 Sol vs. Terra vs. Luna: Which Should You Use?

    Fresh CodexRadar data shows when GPT-5.6 Sol, Terra, or Luna makes sense, separating repeatable task coverage from latest-run cost and speed.

    AI, Codex, GPT-5.6, Model Evaluation

  15. DeepSeek V4 Flash + GPT-5.6 Luna: A $0.42 Sol Alternative?

    DeepSeek V4 Flash and GPT-5.6 Luna theoretically match Sol xhigh's coverage for about $0.42, but only if a verifier can identify the correct patch.

    AI, Codex, Model Evaluation

  16. How to Use GPT-5.6 Luna Max as a Codex Subagent

    GPT-5.6 Luna is now 80% cheaper in the OpenAI API, making Luna Max practical for bounded Codex subagent tasks while Sol handles planning and review.

    AI, Codex, AI Agents

  17. GPT-5.6 Sol Max vs. xhigh: Why Max Isn't My Default

    GPT-5.6 Sol passed fewer repository tasks at max than xhigh while costing 46% more. This benchmark maps the full Codex effort curve across 112 tasks.

    AI, Codex, Model Evaluation, Performance

  18. GPT-5.6 Juice Values for Sol, Terra, and Luna

    Personal GPT-5.6 Juice value observations for Sol, Terra, and Luna across reasoning effort levels in Codex, plus prompts used to reproduce them.

    AI, GPT-5.6, Model Evaluation

  19. How to Build a Custom LLM Evaluation You Can Trust

    Build a custom LLM evaluation with hidden tests, mechanical scoring, blind review, and checks for variance, leakage, and framework confounders.

    AI, Model Evaluation

  20. Astro Blog SEO Audit: What Actually Mattered

    An Astro blog SEO audit uncovered missing social cards, 12 MB of images, inconsistent canonical URLs, and weak archive and tag discovery.

    SEO, Performance

  21. Claude Opus 5 vs. Claude Fable 5: Eight Tests, Same Prompts

    Claude Opus 5 and Claude Fable 5 tied on most of eight tests. Fable won the decision memo, while Opus delivered the same objective score at half the price.

    AI, Claude, Model Evaluation