The AI Super Bowl starts early

Anthropic and OpenAI are battling for attention with $8M Super Bowl ads while launching competing AI models.

The gloves are off. Anthropic is buying Super Bowl airtime to mock ChatGPT’s plan to place ads alongside AI responses—and Sam Altman is furious. We broke down the full Super Bowl AI ad war, from Anthropic’s 60-second pregame spot to OpenAI’s “builders” counter-campaign. Altman fired back on X, calling Anthropic’s ads “clearly dishonest” and accusing them of wanting to “control what people do with AI.” Two companies, two $8M+ ad slots, one Sunday. This isn’t a product launch—it’s a proxy war for the soul of AI.

The ads are theater. The real fight is in the models. Anthropic dropped Claude Opus 4.6—1M context window, autonomous agent teams, 500 zero-day discoveries—and OpenAI responded the same day with GPT-5.3-Codex, a model they claim “helped build itself.” We put both head-to-head: Opus leads on agentic benchmarks, Codex is 25% faster on inference. These labs are shipping on each other’s launch days deliberately.

And the developer ecosystem is absorbing all of it. Apple released Xcode 26.3 with native agentic coding from both Claude and Codex—not a plugin, built straight into the IDE. If you want to see what happens when a 196-billion-parameter model runs like an 11B one, we published a hands-on Step 3.5 Flash tutorial that walks through deployment end to end. The tools are getting absurdly powerful. The question now is whether they stay free of ads.

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Super Bowl AI Ad War: Anthropic’s $10M Gamble vs OpenAI’s Empire

Two AI giants, two Super Bowl ads, one question: should chatbots sell you things?

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Claude Opus 4.6: Finance-First AI With Agent Teams and 1M Context

Anthropic’s new flagship leads on benchmarks, catches its own mistakes, and found 500 zero-days.

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GPT-5.3-Codex vs Opus 4.6: The Model That “Built Itself”

OpenAI claims self-improvement. Anthropic claims autonomy. We compared both.

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Step 3.5 Flash Tutorial: Deploy a 196B Model That Runs Like 11B

Hands-on guide to deploying Step’s distilled model with full code walkthrough.

Read the tutorial →

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