GPT 5.4: SOTA Knowledge Work -and- Coding -and- CUA Model, OpenAI is so very back

**OpenAI** launched **GPT-5.4** and **GPT-5.4 Pro** with unified mainline and Codex models, featuring **native computer use**, up to **~1M token context**, and efficiency improvements including a new **Codex `/fast` mode**. Benchmarks showed strong results like **OSWorld-Verified 75.0%** surpassing human baseline and **GDPval 83%** against industry pros. User feedback highlighted coding utility but raised concerns about pricing and overthinking. Integration with devtools like **Cursor**, **Perplexity**, and **Arena** was announced. In systems research, **FlashAttention-4 (FA4)** was introduced with near-matmul speed attention on **Blackwell** GPUs, featuring innovations like **polynomial exp emulation** and **online softmax**. *"Steering mid-response"* and *"fewer tokens, faster speed"* were emphasized as UX and efficiency improvements.