GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

Astra Pro now splits tasks across parallel multi-agents running simultaneously, for faster responses and better tool integration.

ChatGPT can split one task across several agents working at once, currently Pro-only; the poster says wider rollout would give solo founders a small team.

A user criticizes day 12 of OpenAI's Codex challenge for giving no usage numbers, while noting GPT-6 Astra Pro gets faster responses, better tool use, and parallel agents for Pro users.

Roundup of DeepMind Argon and OpenAI's Pro multi-agent parallel update, with advice to split research and drafting into two windows passing text between them.

ChatGPT can now split one task across several concurrent agents; the author warns to give each agent its own files and done criteria for code, or two will fix the same function differently.

The poster notes ChatGPT now runs several agents on one task in parallel for review, and says he already runs agents across his companies under preset rules.

A short reaction post noting that GPT-6 Astra Pro can now run multiple agents on one task at once, which the author calls huge.

A commentary post saying GPT-6 Astra Pro lets multiple agents tackle different parts of a task simultaneously with live progress tracking, which the author sees as a major step toward collaborative AI work.

A user says Astra's usage burn rate has increased substantially, with 35% of quota consumed in a few hours, and suspects OpenAI broke something or botched the rollout.

Japanese post says Astra Pro in ChatGPT improves response speed and plugin use, runs multiple agents in parallel with progress checks, and task splitting is the real win.

ZeroHedge cites NYT saying GPT-6 Astra's training took nearly an octillion calculations, 50 million times GPT-1, alongside projections on AI data-center power use by 2030.

A Japanese user summarizes the Astra Pro (Chat Pro mode) update as faster responses, improved plugin and tool use, and parallel multi-agent processing.