AI圈报教程 / 实战普通
Treat GPT Image 2.5 Like a Build Pipeline: A Reproducible Workflow
内容摘要
Most AI image workflows start with a prompt and end with a downloaded file. That is fine for a...
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OpenAI's GPT-5.6 Sol Sets New Record: Sub-100ms Response Time Changes Everything
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Astra Solved 10 Decades-Old Problems on a Rounding Error of Compute. The Real Story Is the Cost Curve.
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How OpenAI Decided Astra Was Too Dangerous to Ship Open: Capability Thresholds, Explained
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OpenAI Astra for Law Brings GPT-6 Astra to Legal Research and Workflow Building
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What Happens When AI Outgrows the Tests We Use to Measure It?
TL;DR GPT-6 Astra has started another familiar AI conversation. The model is more capable, Jensen...
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GPT-Image-2.5 in Production: Choosing Between Flare and Sunburst
The short version GPT-Image-2.5 is split into two models: Flare favors low latency and...
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Fine-tuning Claude vs GPT vs Llama in Production: What Actually Works (2026)
Honest comparison of fine-tuning options across Anthropic, OpenAI, and open-weight models. When fine-tuning wins, when RAG wins, and when prompt engineering is enough - from an Anthropic Partner shipping production ML.
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Looped reasoning means the AI's visible trace isn't the reasoning
GPT-6 Astra ships looped transformers: the same blocks run ~44 passes, reusing weights, so effective...
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Astra's Adapter Beat the Reasoning Dial on ARC-AGI-3
On 3 Sep ARC Prize scored GPT-6 Astra at 62.7% in the shared harness and 99.9% in OpenAI's adapter.
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GPT-6 Astra vs GPT-5.6 Sol: Choosing by Completed Work, Not Model Age
The short version I would use GPT-5.6 Sol as the default for routine production traffic. I...
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