The day,
in perspective.

The big change

What changed: New Pro $200 subscriptions are available again with a lower included allowance. Pro $500 adds the highest allowance and Astra Ultrafast access.

How large is the difference? OpenAI's earlier 5x and 20x labels describe the $100 tier and the former $200 tier against Plus. Thibault Sottiaux said on September 29 the revised $200 calculation yields about half the old plan's API-spend-equivalent usage. The current product pages give no exact new $200 or $500 multiplier.

Why it matters: A buyer can compare price and access today, but cannot derive a dependable number of Codex tasks from a tier name. Model, context, reasoning, speed and tools affect consumption.

The big change

Manus describes video timeline controls and direct asset and code controls for games. Their performance in practice remains untested here.

Scheduled work can now begin after a connected-service event, according to Manus. Teams still need to authorize those services and decide what the agent may do next.

Cue gives agents their own communication and payment identities. It remains invitation-only early access in the documents reviewed, with operating rules and a post-preview price still unclear.

The big change

What changed: OpenAI now documents a reusable cloud setup for a repository that can launch separate coding tasks on its managed computers. A task can continue while your computer is asleep and can be reopened across desktop, web and mobile. OpenAI release notes.

Why it matters: You can prepare dependencies and tools once, then start new tasks from the published environment. Reopening an existing task continues its own saved work; creating another starts an isolated workspace. The guide below shows the setup and return path. Cloud environments guide.

What to watch: Publishing updates the starting point for new tasks, not tasks already underway. Review repository access, credentials and allowed network destinations before publication. OpenAI documents the controls and their limits; BIG CHANGE has not independently run this workflow. Cloud environments guide.

The big change

What changed: A ChatGPT user can assign an ongoing goal to a Dot and let it work through connected apps between conversations. The user chooses those connections and can set rules for actions.

Why it matters: An app connection gives the Dot a continuing route to information. OpenAI says disconnecting it ends new access but does not remove information the Dot already absorbed. The connection deserves a decision before setup, not only when work is finished.

What to watch: The visible record is the Dot’s Activity View, where a user can inspect steps, correct direction or ask it to stop. Whether a completed action can be undone depends on the action and app, according to OpenAI.

The big change

Jev’s new evaluations move the question from whether a decision model can return a cheap verdict to when that verdict is useful enough to keep. The answer depends on the task: confidence routing improved a held-out pairwise-evaluation cascade, while a separate rubric study found little gain because errors overlapped. Medical multiple-choice results also varied sharply with task difficulty. For AI teams, the next step is a local validation set that checks correctness, confidence and fallback behavior together.

The big change

DevDay grouped personal agents, code agents, API-hosted browser work and team automation under one launch count. Adoption depends on the particular surface, plan, market, administrator setting and connected-account scope, then on who reviews the result. OpenAI’s 20-plus figure describes the breadth of the announcement. It does not establish that 20 products are generally available or that these workflows have delivered measured gains in ordinary use.

The big change

What changed: AMD was already an investor and technical collaborator. It now plans to bring World Labs’ model researchers into the company, giving its compute teams a closer view of how spatial models are built and run. The agreement is pending regulatory approval and other closing conditions.

Why it matters: A model lab can expose the demands that image, video and 3D workloads place on hardware and software. AMD’s stated aim is to use that knowledge in product planning. For developers, the consequential result would be better supported ways to train or run these models; the deal itself establishes no such improvement.

What to watch: After closing, the useful evidence will be specific model and compute optimizations, accessible tools and measured results. World Labs’ current 3D generation and simulation work offers a place to assess progress, but its demonstrations do not show robots working in physical settings.

The big change

What changed: New customers can subscribe to Pro $200 again, but OpenAI says their included usage is lower than under the prior version. Eligible existing subscribers keep the former allowance through October 29, then transition to the lower allowance without a price change.

Why it matters: Sottiaux says the new allowance represents about half the former plan's API-dollar value. That is a price-based comparison, not evidence of half as many tasks; work completed varies with model, workload and usage limits.

What to watch: OpenAI's Help Center confirms availability, price and the transition date, but does not publish the usage quantities or Sottiaux's API-dollar calculation. The September 29 post and later Help Center update differ on reopening timing, so the exact restart time remains unknown. Those figures and the account's actual limits are needed to assess the practical effect.