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Netflix uses AI for the first time to cut costs

Plus: How to write Perfect ChatGPT Prompt

Author

Poonam Soni
July 22, 2025

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Hey there, and welcome to AI Toast!

Today’s menu:

  • Netflix uses GenAI in filmmaking

  • Google and OpenAI’s gold-medal math showdown

  • Superhero tools for AI-powered coding

  • The smartest way to prompt (with a mini how-to)

  • Quick AI Toasts: AI News

Estimated read time: 4 minutes

Netflix has achieved a significant milestone by incorporating generative AI into the shows you watch, not just in the background. In the Argentine sci-fi series “El Eternauta,” Netflix’s team used AI to craft a scene where a building collapses, something that would’ve taken ages (and a fortune) with old-school effects. The result? The outcome was ten times faster, significantly less expensive, and still left viewers in awe.

  • Netflix’s co-CEO Ted Sarandos says the result is “real people doing real work with better tools.” AI isn’t replacing artists; it’s giving them superpowers.

  • The tech brings blockbuster-level effects to shows that never had the budget for them before. Think indie flicks with Marvel-style visuals.

  • You might notice Netflix's influence before you press play because it uses GenAI for pre-visualization, shot planning, search, and even recommendations.

  • The company’s betting that AI will make stories better, not just cheaper. Sarandos likened it to the rise of computer animation: more creative jobs, not fewer.

  • Not everyone is excited because AI in entertainment continues to provoke discussions about creativity and employment. But when it helps tell bigger, bolder stories, it’s hard not to be curious.

Personal take: It’s like giving every filmmaker a magic wand. Sure, there’s a risk of overdoing it and turning everything into AI-generated stuff, but if used right, GenAI could make storytelling wilder and more accessible than ever.

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Image Source: Google

For the first time ever, AI models from Google and OpenAI scored gold at the International Mathematical Olympiad. That’s right—machines solved five out of six fiendish problems, using natural language and reasoning, not just brute force.

  • Google’s “Gemini Deep Think” and OpenAI’s experimental models both hit the gold-medal mark, a first in the competition’s history.

  • These were not merely math-specialist bots; they applied general reasoning, akin to human reasoning, at a rapid pace.

  • The models handled problems in natural language, not code or math-speak, and finished within the official 4.5-hour limit.

  • Experts say we’re less than a year away from AI helping mathematicians tackle unsolved research problems.

  • There’s some drama: OpenAI self-published its results before official verification, while Google got its win certified. The race for bragging rights is as fierce as the math itself.

Personal take: If math Olympiads were the Olympics, the current competition is like robots not just running the marathon; they’re now winning gold and rewriting the playbook for the rest of us.

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Superhero Tools (Coding Edition)

  • Claude Code: An AI-powered coding assistant that helps you write, debug, and understand code faster.

  • Cursor: Your AI pair programmer, right in your editor. It suggests, completes, and explains the code as you type.

  • Lovable: Build lovable software with this AI tool that automates tedious coding tasks and catches bugs before they bite.

  • Gemini 2.5 Pro: Google’s advanced AI model for coding, reasoning, and more. Think of it as your genius coding sidekick.

  • Emergent: Build ambitious apps with AI

  • Replit: Code, collaborate, and deploy, all in your browser, powered by AI. It’s like a playground for builders.

Tutorial: The Best Way to Prompt

Tired of getting meh results from AI? Here’s the prompt framework even shared by OpenAI President Greg Brockman, as passed around by the AI Twitter crowd:

  1. Set a clear goal for the LLM so it knows exactly what you want.

  2. Specify the return format or template you want the output in.

  3. Give warnings; tell the LLM what to avoid or what not to do.

  4. Provide all relevant context, such as research or meeting notes, while ensuring it remains concise.

This framework helps LLMs give you better, more tailored results for work tasks like PRDs or strategies.

Made by @benhylak on X

Pro tip: Prompting is like ordering at a restaurant. The more specific you are, the better your meal. If you just say “food,” don’t be surprised if you get a soggy sandwich.

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That’s a Wrap

Thanks for reading! Got a tip, a story, or a favorite AI tool? Hit reply or drop me a note. Always love hearing from fellow explorers.

Stay curious — and don’t let your AI gaslight you.

Until next time, — Poonam Soni