Marketing Digest: Experiments to try

PLUS: NYT, Adobe and Instacart make AI moves.

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Here’s what we have this week;

PICKS
  1. I was amazed at Google’s new Gemini Advanced as it’s really good at writing-related tasks, but they announced one more model last week, Gemini Pro 1.5. It’s in sneak peek mode but this will be a big unlock for marketers.🍿Here's why

  2. Sora, a new AI model from OpenAI spits out videos based on simple text prompts. These are minute-long videos that feel insanely real. It’s not out for use yet but check out 🍿Our Summary
    Also see: How OpenAI’s Sora impacts the future of music marketing.

  3. Hidden Biases - Test AI and yourself on ambiguous sentences.

    This is a good example of tool marketing from AE Studio. Build a standalone website for virality that can attract your core users. AI is opening up “tool marketing” without big budgets and technical know-how. You can mix up the same strategy in different ways.

like what we’ve got here?

Reply and let us know what you want more of.

TOP TOOLS
  • Stey - Drive growth by optimizing web copy with AI.

  • Intent by Upflowy - Turn your leads' behaviour into AI summaries.

  • SuperGrow - Grow your audience on LinkedIn.

  • SEO by AI - Rank faster on Google with free AI SEO tools.

  • AdGen - AI-generated creatives that perform.

  • Neiro - Scale your marketing videos with AI avatars.

  • Persona by Diarupt - Human-like AI teammates.

  • Adsby - Create, analyze, and scale your Google ads for impactful results.

  • Gigabrain - Answers from Reddit and other online communities, not SEO spam.

  • AI assistant in Adobe - Generate document summaries and chat with your docs. Our Summary.

  • AI in Slack - Slack’s first set of native AI features: AI-powered search, instant channel recaps, and thread summaries. Live for enterprise users. Our Summary.

NEWS
QUICK BITES

Google’s new Gemini Advanced is really good at writing-related tasks, but they announced one more model last week, Gemini Pro 1.5. This one has a context window of up to 10M tokens—GPT-4 Turbo has 128k.

What is going on here?

Google introduced Gemini Pro 1.5 - A new model with insane context window and performance.

What does this mean?

Context window means how long your prompt to an AI model can be and if you’re working with long-form content like business PDFs, books etc. you want all you can get. Claude by Anthropic shocked everyone by accepting 100k tokens in its context window last summer (200k some months later) and GPT-4 Turbo announced a 128k token context window in November.

Gemini Pro 1.5 takes two big jabs at other models here:

  • Huge jump from what they call “standard” i.e. 128k tokens. The 10M context window is a research claim but Google is allowing select developers to test up to 1M tokens.

  • Multimodal inputs: You can not only put large books in there, but you can query entire movies, languages, codebases, and whatnot.

And these jabs land because in evaluation they have 100% recall till 500k-ish token and >99% till 10M.

Throughout last week, more developers are getting access to this model and getting blown away by its capabilities. Marketers are yet to get this but I’d recommend trying out Gemini Advanced in the meantime (and try to get your hands on this one.)

Why should I care?

Here’s why it matters for marketers: You can put in 10 times an average book and more than 8 hours of transcripts (150wpm) into its prompt. It’ll know where everything is. It also works with native videos for about an hour.

That speeds up research, reporting, user interviews, etc. to the next level. This one is in sneak peek mode but Google’s speeding up in launching what they show.

Link to the general summary (with model specs, performance details etc.)

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