Tag
14 posts
AI
Everything I've filed under “AI”, newest first.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.