🧠 Opus 4.6 is out with 1M context window

Anthropic is everywhere this week. From a bold Super Bowl campaign pushing back on ads in ChatGPT to the launch of Claude Opus 4.6 with deeper context and sharper coding skills, the company is making its values (and ambitions) loud and clear. Let’s dive in!

In today’s insights:

LATEST DEVELOPMENTS

Evolving AI: Anthropic released Claude Opus 4.6 with deeper context and stronger agentic coding.

Claude Opus 4.6 builds on Anthropic’s top-tier model with clear gains in coding, planning, and long-running agent work. It sustains complex tasks, reviews its own code, and spots bugs earlier. In beta, it supports a 1M token context window, making large projects easier to manage. Benchmarks show strong results across agentic coding, reasoning, research, and high-value knowledge work. Claude Code now supports agent teams, the API adds context compaction and effort controls, and Claude expands further into Excel and PowerPoint.

The headline feature is the 1M-token context beta, which means you can drop in huge codebases, long specs, messy docs, and keep the model on-task without constant copy-paste juggling. Pair that with longer agent runs, agent teams in Claude Code, and API options like context compaction plus effort controls, and you get a workflow that feels closer to “hand the task off, check back later” than “babysit every step.” For Excel and PowerPoint work, it points to fewer hops between tools when you’re turning data into models, summaries, and slides, and the pricing staying at $5/$25 per million tokens keeps the barrier low for teams to try it in real production flows.

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Evolving AI: Anthropic is taking a public stand against ads in chatbots with a Super Bowl campaign.

Anthropic is making its position clear with its first Super Bowl campaign, saying ads have no place inside personal AI conversations. The company argues that chatbot interactions are intimate by nature, and placing ads nearby would feel out of place. OpenAI recently announced it will test ads for free and lower-tier ChatGPT users in the U.S., framing them as clearly labeled and separate from responses. Anthropic says its revenue will continue to come from paid plans and enterprise deals, even if that limits growth.

Watch the video on X here →

AI companies are now publicly squaring off over something pretty personal: how your assistant should behave when you ask it for help. With Claude promising to stay ad-free while rivals experiment with ads in chat interfaces, what you choose says more about what you expect from these tools than ever before. Folks aren’t just picking speed or accuracy anymore, they’re weighing whether they want interruptions or distractions in conversations they rely on for work, health questions, or creative tasks, and that shifts how trust and loyalty could shape which AI actually gets used most.

Evolving AI: Google’s Gemini app has passed 750M monthly users, closing the gap with ChatGPT.

Google says Gemini now serves more than 750 million monthly active users, up sharply from 650 million last quarter. The milestone lands shortly after Gemini 3 launched, which Google positions as its most capable model yet. Leadership credits AI Mode in Search, fast model iteration, and strong developer usage, with first-party models processing over 10 billion tokens per minute via APIs. The lower-priced AI Plus plan launched too late to affect these numbers.

People are starting to treat AI assistants like everyday tools rather than experiments, and Gemini’s fast climb to 750 million monthly users shows exactly that. Nearly everyone with a phone, search habit, or inbox is now tapping an AI for answers, tasks, or decisions. That’s changing how we search, shop, plan trips, read news, and ask questions, with AI suggestions often coming before we even start typing. With AI built directly into Search and apps it’s becoming part of routines that used to be just typing or tapping.

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QUICK HITS

💻 OpenAI releases GPT-5.3-Codex, a coding model that helped build itself

📉 Anthropic’s new AI tool sends shudders through software stocks.

🎞️ Amazon plans to use AI to speed up TV and film production.

🤖 NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically.

🇺🇸 In bobsled and speedskating, advanced AI offers Team USA an edge.

🥑 Meta’s Avocado AI model shows promising early results.

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