Everything That Happened in AI Today (Monday, November 2, 2026)

OpenAI detailed shared ChatGPT and Codex usage starting in December; Meta's ads grew 26% versus Google Search's 12%; AWS surged 39.3%; Apple set China rollout dates; and Anthropic clarified Claude's restrictions.

Nov 2, 2026
9 minute read

Your ChatGPT and coding agent could soon share a usage budget, AI companies are fighting over advertising, and someone apparently built a better YouTube in two hours.

Welcome to another Around the Horn Digest, where we collect the AI stories worth knowing about so you don't have to spend Monday opening 47 browser tabs.

OpenAI has a potentially meaningful change coming for anyone who uses both ChatGPT and Codex. Meanwhile, Meta's advertising revenue is growing much faster than Google's search business, Amazon's AWS cloud revenue is accelerating, and Anthropic has clarified what Claude will and won't do.

And then there's Andrej Karpathy, who reportedly analyzed 20 years of Hacker News discussions to build a better video recommendation site in a single morning. Some people spend their weekends relaxing. Others apparently give themselves a new software company before brunch.

This Monday roundup includes weekend reporting and several important late-October announcements. Let's get into it.

Around the Horn — Monday, November 2, 2026

OpenAI plans to combine ChatGPT and Codex usage limits

OpenAI is preparing a change that could affect how you divide your AI work between chatting and coding.

According to its updated usage documentation, eligible usage in ChatGPT and Codex will draw from a shared allowance beginning in December.

Today, many people think about ChatGPT and Codex as separate products with their own limits. ChatGPT handles conversations and general tasks, while Codex can work on software projects, inspect code, and carry out longer programming jobs.

Under the planned arrangement, those more demanding tasks will compete for the same pool of usage.

Importantly, OpenAI says ordinary Instant chats won't count against the shared token-based allowance. The change is aimed at more computationally intensive capabilities.

Users on Plus, Pro, and Business plans will reportedly be able to see their remaining allowance and reset times in Settings, with additional credits available after reaching the limit.

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Why should you care? Because a coding agent working through a complicated repository could consume resources you might otherwise use for a substantial ChatGPT task.

Your AI assistants are getting a shared expense account. Now you get to manage the budget.

OpenAI is framing the change around bringing more of its agent capabilities into ChatGPT. For users, the practical question is how quickly ordinary, high-effort workflows use up that shared allowance.

The December rollout is the test: users will be able to see how their coding and agent tasks compete for the shared allowance, and whether their usual workflows still fit.

🏆 TOP 5 NEWS (Around the Horn)

Honorable Mentions

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🍪 TOP TREATS TO TRY

  1. Riverside Agents preps podcast recordings, edits episodes, pulls social clips, and drafts promotional posts using specialized video agents you approve before publishing.
  2. Ideogram Precise Edit changes a selected area of an image without regenerating the rest, preserving the original resolution on pictures up to 8K.
  3. Click watches you demonstrate a repetitive workflow and turns it into an AI-agent automation that runs across your connected systems.
  4. Embage builds website chat or voice receptionists that answer customers, capture leads, and handle booking requests using your connected tools.
  5. agentmash warns teammates’ AI coding agents before they overwrite one another’s changes in a shared code repository.
  6. ClawsGO Science runs research tasks in the cloud, including literature searches, code-based analysis, and source-linked deliverables, while you’re away.
  7. Better Together connects personal AI agents to pool reports of suspected spam calls and texts, spot repeated patterns, and send findings for human review.
  8. Fluent 2 runs AI assistants across Mac apps to draft replies or complete routine tasks, with your choice of local or cloud models.

🏢 Big Tech & Major Companies

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💼 AI Productivity, Labor & Economics

🤖 AI Agents & Infrastructure

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💻 AI Coding & Developer Tools

  • Anthropic confirmed it adjusted Claude Code’s Opus 5.5 instructions to steer the model away from reproducing someone else’s specific video game. Anthropic said original games, genre-inspired games, and games using the user’s own designs and assets should still be allowed; the policy is intended to discourage intellectual-property infringement.
  • OmniDiff compares changes in code, PDFs, images, fonts, and archives with content-aware views; it is a conventional developer tool, not an AI-powered product, despite its AI-assisted development.
  • DeepSeek’s dsh-superagent is open-source research code for a coding agent that responds to authorized GitHub requests or team-written rules; its maintainers say it is not an official, production-ready DeepSeek product.

🔬 AI Research & Models

  • Randall Balestriero and Yann LeCun analyzed how separately trained text and image models can learn compatible representations in a new JEPA paper. JEPA trains models to predict useful features of related observations instead of every next word or pixel. Their theorem establishes alignment under specified assumptions about the training views. On the same dataset, their “good views” approach required 42 times fewer samples to reach comparable alignment than next-token prediction; a 109M-parameter text JEPA also beat the language models they evaluated, up to 72B parameters, on the reported alignment tests. Those are benchmark-specific findings, not proof that small models outperform large ones generally.
  • Adaptive Agent Memory Research includes a locally runnable memory server for coding agents, but its maintainers describe the broader system as an experimental research project rather than a finished product.
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🏛️ AI Policy, Governance & Safety

📊 Fundraising & Deals Roundup

💡 Industry Commentary & Analysis

Previous Around the Horn Digests

Catch up on recent coverage:

  • Friday, October 30: OpenAI tested model monitors, Reddit criticized AI search traffic losses, and Mistral opened a trillion-parameter model.
  • Thursday, October 29: Google introduced Gemini 4 Carbon for security, and GitHub reported more AI-generated code.
  • Wednesday, October 28: OpenAI reportedly pursued Google chips, and Anthropic expanded Claude's government reach.
  • Tuesday, October 27: OpenAI detailed math research, and SpaceX secured GPU financing.
  • Monday, October 26: OpenAI examined containment failures, and Sweden restricted workplace use of AI chatbots.
  • Friday, October 23: AI agents entered banking and cybersecurity workflows.
  • Thursday, October 22: AI-discovered software flaws prompted patches, while the AI industry's military partnerships faced scrutiny.

That's a Wrap

We've covered roughly 30 distinct developments and tools, from shared AI usage limits to computing in orbit.

If you made it all the way down here, congratulations. You have now spent more time reading about HackerTube than Karpathy reportedly spent building part of it.

For the shorter daily version, subscribe to The Neuron.

See you tomorrow.

P.S. Know someone who wants all the AI news without the endless browser tabs? Forward them this roundup.

Eric Gerard Ruiz

Eric Gerard Ruiz, a licensed CPA in the Philippines, specializes in financial accounting and reporting (IFRS), managerial accounting, and cost accounting. He has tested and review accounting software like QuickBooks and Xero, along with other small business tools. Eric also creates free accounting resources, including manuals, spreadsheet trackers, and templates, to support small business owners.

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