context-windows
Two API settings tripled OpenAI's ARC-AGI-3 score without touching the model News
OpenAI reported on July 29 that enabling retained reasoning and compaction lifted GPT-5.6 Sol from 13.3% to 38.3% on the ARC-AGI-3 public task set while using six times fewer output tokens, an identical model scoring three times higher because of harness settings.
OpenAI Codex Only Lets You Fill 272K of a 400K Window, On Purpose News
OpenAI's Codex coding agent exposes a 272,000-token input budget inside a 400,000-token model window, reserving the rest for output, and users frustrated by early auto-compaction have mistaken the reserve for a downgrade.
Meta Ties Muse Spark 1.1, Muse Image, and Muse Video Into One Agentic AI Stack News
Meta's Superintelligence Labs shipped Muse Spark 1.1, a reasoning model built for agentic tasks with a 1-million-token context window, alongside Muse Image and a preview-only Muse Video, wiring all three into a single agentic system distributed through Meta AI, Instagram, and WhatsApp.
Tokenization: how an AI chops your words into pieces it can read Lesson
A language model never sees letters or words. It sees tokens, chunks of text turned into numbers. How that chopping works quietly shapes cost, context limits, multilingual fairness, and why models stumble on spelling and arithmetic.
Agent memory: how an AI remembers you after the conversation ends Lesson
Why most AI assistants have amnesia, the difference between short-term context and real long-term memory, and why remembering you is both what makes agents useful and what makes them a privacy risk.