
GPT-6 Astra Multimodal Tests: 3D Mazes and Modeling
Astra scores 14% on MazeBench while developers demonstrate Fusion 360 parts, spectrogram interpretation and interactive molecules. What do these tests actually establish?
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Astra scores 14% on MazeBench while developers demonstrate Fusion 360 parts, spectrogram interpretation and interactive molecules. What do these tests actually establish?
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Why does GPT-6 Astra use up Plus limits so quickly? Compare official allowances, Fast mode, creator reports, and actual API charges from three game generations.
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Claude formalized Fermat’s Last Theorem in Lean. Understand what was checked, why the research model matters, and how to evaluate a small proof yourself.
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SandBase's GPT-6 Astra vs Claude Fable 5.1 test: the same 3D game prompt, original code, startup failures, completion checks, response times and actual API charges.
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What can OpenAI’s AI research intern do? Read the runtime, API-valued usage and intervention data, then use a bounded research assignment to measure useful work.
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Does earlier AI helping train GPT-6 prove recursive self-improvement? Separate the disclosed evidence from inference and check what a repeatable improvement would require.
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Compare GPT-6 Astra, Claude Fable 5.1, and Gemini 3.8 Flash for agents: task fit, retry budgets, escalation rules, and limits of cross-benchmark rankings.
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What Codex Persistent Mode's public prompt establishes about follow-ups, sleep, permissions, and memory—and why code alone does not prove availability.
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WorkBuddy is a desktop AI workstation for turning natural-language tasks into files, reports, analysis, and code. Here is where it fits—and where it does not.
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