Codex model context reduced from 372k to 272k

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ubvh44/i_used_codex_with_gpt_55_from_azure/"> <img alt="I used codex with gpt 5.5 from azure"

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1sjn8uc/updates_to_codex_usage_on_plus/"> <img alt="Updates to Codex usage on Plus"

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1swqntc/the_1_million_context_rugpull_by_codex_and_openai/"> <img alt="The 1 Million context rugpull by

<!-- SC_OFF --><div class="md"><p>The news about Ulysses Sequence Parallelism enabling million-token contexts is fascinating for local LLMs. While the potential for deeper context

<!-- SC_OFF --><div class="md"><p>Compare to claude, i observed that codex's context easily get bloating to 30%+ for some reason. Is there any reason why or any hint to resolve

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wlss89/postulate_context_compaction_is_good_for/"> <img alt="Postulate: Context compaction is good for

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find