What's up? You're reading Inclined AI. What did you do while ChatGPT was down Thursday?

Here's how we’re wrapping up your week:

• Take a look at some new AI guides

• “Prompt Drift” is a real thing, and it’s affecting everyone

• OpenAI threatens to leave Europe over regulation talks

• Google is starting to let people into their Search Lab

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THE ESTABLISHMENT IS CATCHING UP ON AI & PROMPTING

You’re here to stay on top of AI news and products. At least, that’s a fair assumption to make.

What better way to serve that mission than a bit of weekend reading?

Two established players, The New York Times and a16z published guides that are too sweet not to share.

Here are the deets:

1/ The New York Times Prompt Guide

The guide is basic and undaunting. In it, the tech columnist explains a few great tips we wanted to share with you:

• They provide an example of role prompting, recommending you start with the phrase “act as if,” which is fine.
  
  We suggest the phrase “pretend you’re,” but the idea is the same: frame the AI model so it provides a more customized and detailed response.
  

• The second prompt suggestion was to add “Tell me what you need to know to do this” at the end of any prompt. Again, we’ve suggested a similar phrase, “Tell me the details you need to complete this task,” but that’s neither here nor there.
  
  Both are great additions to any prompt and allow the chat AI to ensure your prompt is more tailored to your goal.
  

• Finally, they recommend threading your prompts and not starting a new thread every time. But be warned; there are caveats to this advice. We’re touching on one point in our next piece, but context windows don’t last forever.
  
  If you prompt in one thread, you should remind ChatGPT of its objectives anytime it seems stuck in a rut.

That’s the entire guide right there. Pretty simple, right?

2/ a16z’s AI Canon

This one is the real weekend read. The partners at this VC fund have gone above and beyond, like middle siblings trying to impress their parents.

Andreessen Horowitz’s AI canon is a beginner’s guide to grasping artificial intelligence. The odds are that one of the links they shared covers any term you’re struggling with in AI.

Our advice: start with the course or explainer that interests you most. Then keep going till you’re bored. Trust us; it’ll take a while.

There you have it.

Let us know if you check either out and what you find that’s interesting. We love hearing from you all.

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TOKYO DRIFT? MORE LIKE PROMPT DRIFT, AMIRIGHT?

You may have noticed that some of your prompts don’t work as well as they used to. What gives?

Did ChatGPT lose context? Is OpenAI blocking my prompt from working? It’s none of the above.

What you’re experiencing is “prompt drift.”

The idea is simple. Overtime, model hallucinations, new learnings, and randomness contribute to a decline in a prompt’s performance.

The prompt you used when ChatGPT first started doesn’t carry the same weight today. As large language models develop, their understanding of a prompt change.

Prompt drift affects companies more than individuals, though, and here’s why.

A startup using an AI model in its stack must craft airtight prompts that help create consistent outputs every time a user interacts with them—otherwise, hallucinations and wrong outputs wreck user experience.

The best solution is to ensure your prompt template includes enough contextual information that any changes in the model don’t cause a disruption.

Get specific.

Prompts direct the AI. If your outline doesn’t have enough context, that’s like walking a dog without a leash. You have no clue where that puppy is going next.

Don’t go chasing stray dogs. Instead, learn to add more context to your prompts.

Quick Nuggets

😈 Waluigi and the case for a moral AI

🔬 Scientists use AI to find ways around drug-resistant infections

🍃 OpenAI threatens to leave Europe if regulations get out of hand

📌 Andrej Karpathy on the state of AI (highly recommend)

🦾 Humanoid robots are having a moment now and developing in big ways

📈 Nvidia is the darling of the stock market and leaving competitors in the dust

⏰ TikTok is trying out its own chatbot called Tako

📍 Big Tech’s “digital colonialism” is engrained in the AI training data we use

💸 How Microsoft came to terms with the price tag to invest in OpenAI

✍️ An insightful rant about AI replication, copyright, and art

🎥 James Cameron is waiting for AI to play out before making the next Terminator

🐐 Goat: a fine-tuned LLaMA-based model that performs arithmetic better than GPT-4

🕳️ Prompt injections are a massive security hole we covered over a week ago

✨ Google invites for its new search interface are starting to be handed out

🔥 Fresh Products

• CommandBar - released HelpHub to add a chatbot to any site (link)

• Outlines - GitHub repository helps control LLM interactions (link)

• Tyles - highlight information & store it in a fluid knowledge base (link)

• Humbird AI - CRM platform w/ AI that makes hiring proactive (link)

• Waitlyst - use AI agents to help your startup grow (link)

• WordCraft AI - brainstorm with AI to help your writing (link)

• Scribewave - your audio & video easily transcribed (link)

• Styldod - helps bolster real estate listings (link)

• Emberly - AI helps you take notes & build mind maps (link)

• Receipt-AI - manage your receipts with AI (link)

• Mobile Diffusion - Stable Diffusion on your phone (link)

• DeepFiction - make stories with AI’s help (link)

Good Content, Classic Clickbait

A user asked ChatGPT for medieval clickbait headlines. It feels like they transported BuzzFeed to the dark ages.

_{That’s it for today. I hope you enjoyed the latest edition of inclined.ai - Davis.}

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• 8 Role Prompts that Still Work on ChatGPT

• 10 AI Tools You’ll Actually Use

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