GPT-Image-2.5 in Production: Choosing Between Flare and Sunburst

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.

GPT-6 Astra ships looped transformers: the same blocks run ~44 passes, reusing weights, so effective...

On 3 Sep ARC Prize scored GPT-6 Astra at 62.7% in the shared harness and 99.9% in OpenAI's adapter.

The short version I would use GPT-5.6 Sol as the default for routine production traffic. I...

OpenAI changed two API settings on ARC-AGI-3 and GPT-5.6 Sol went from 13.3% to 38.3% while spending six times fewer output tokens. Same model, same weights, same benchmark.

Originally published on iHateReading Under the Hood OpenAI shipped GPT-6 Astra this week,...

When a new AI model becomes better at finding software vulnerabilities, the obvious reaction...

Ask any frontier model to implement binary search, and the answer will look impressive. Ask it to...

OpenAI has released GPT-6 Astra, its newest frontier model, less than a week after Anthropic’s Claude...

Three frontier models shipped in one week. The benchmark tables disagree about the winner. Here is what each number measures and which model fits which work.