OpenAI's Learning Revolution, Instacart's Culinary Assistant, and AI's Market Research Breakthrough

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TL;DR

OpenAI's new learning model is revolutionizing AI by teaching it to solve complex math problems step by step, outperforming previous methods. Instacart's new AI feature, "Ask Instacart," is making meal planning easier by providing personalized recommendations. AI is also transforming market research, with a joint study by Harvard Business School and Microsoft demonstrating its potential to mimic consumer behavior and provide valuable insights. In other news, an eating disorder helpline transitions to a chatbot, and AI continues to influence various industries, from video editing to personal computing.

Here's what we've got in store for you today:

🤖 A New Era In AI Learning: Step By Step

🛒 Instacart's New AI Feature

🔮 How AI is Revolutionizing Market Research

📰 News From The Front Lines

🎥 Video Of The Day

🛠 Tools Of The Day

🤌 Prompt Of The Day - Plug-In Chaining

OpenAI's 'Let's Verify Step by Step': A New Era in AI Learning"

Alright folks, let's talk about the latest breakthrough in the world of AI. You know, the one where machines are getting smarter than your high school math teacher. OpenAI, the brainiacs behind some of the most advanced AI models, have been teaching their language models to solve complex math problems. And guess what? They're getting pretty darn good at it.

Remember those days in school when you'd stare at a math problem, scratching your head, wishing you could just skip to the answer? Well, these AI models are doing just that, but with a twist. They're not just jumping to the final answer, they're reasoning out each step along the way. It's like having a super-smart buddy who not only gives you the answer but also explains how they got there.

OpenAI calls this "process supervision". It's like a strict math teacher who doesn't just want the final answer, but wants to see all your working out too. And it turns out, this method is a real game-changer. In fact, it's outperforming the old method, known as "outcome supervision", where the model only gets feedback on the final result.

Imagine you're baking a cake. Outcome supervision is like tasting the cake at the end and saying "Hmm, needs more sugar." But process supervision is like having a seasoned chef watching over your shoulder, guiding you at each step, "Easy on the flour, buddy. Oh, and don't forget to preheat the oven."

In their latest experiment, OpenAI's process-supervised model solved a whopping 78% of problems from a representative subset of the MATH test set. That's like acing almost 4 out of 5 questions on a test without breaking a sweat.

But the real kicker? They found that active learning, where the model learns from its mistakes, improves the efficiency of process supervision by a staggering 2.6 times. It's like learning to ride a bike. You fall, you get up, you adjust your balance, and before you know it, you're cruising down the street like a pro.

And here's the cherry on top. OpenAI is sharing the love. They're releasing PRM800K, a dataset of 800,000 step-level human feedback labels used to train their best reward model. It's like a treasure trove for AI researchers.

So, what's the takeaway? Well, AI is getting smarter, and it's learning to think step-by-step, just like us humans. And with active learning, it's improving at a rapid pace. So, next time you're stuck on a math problem, don't sweat it. There's probably an AI out there that's got your back.

Remember, folks, we're not just talking about machines crunching numbers here. We're talking about machines that are learning to think, reason, and solve problems, one step at a time. And that, my friends, is a pretty big deal.

Instacart's New AI Feature: Your Secret Ingredient to Stress-Free Meal Planning

Picture this. It's Wednesday evening, and you're knee-deep in recipe books trying to figure out what to serve with your masterpiece lamb chops. Your search for side dishes has just turned into a rabbit hole of endless Google results.

Well, folks, hold on to your aprons, because grocery shopping just got an upgrade. Instacart has rolled out its new feature, "Ask Instacart," an AI-powered search tool juiced up by OpenAI's ChatGPT. Yep, you heard right – it's the kind of tech that's hotter than your favorite jalapeño salsa right now.

"Ask Instacart" is the swiss army knife of grocery shopping tools, serving personalized recommendations and answers to your culinary questions right on the app. Need a sidekick for those lamb chops? Or maybe you're hunting for a fish that's like salmon but not, you know, salmon? Or perhaps you're looking for dairy-free snacks for your tots? Just pop your query into the search bar and voila!

Instacart's chief architect, JJ Zhuang, points out that the simple question 'What’s for dinner?' has been the root of many kitchen conundrums. But with "Ask Instacart," not only can you get ideas for your menu, but you also get the ingredients delivered to your doorstep in as little time as it takes to catch up on an episode of your favorite cooking show.

Before this upgrade, you'd use Instacart for ordering groceries and Google for your cooking queries. But now, Instacart is the one-stop shop for all your foodie needs, making it the new sous chef you didn't know you needed.

This launch comes on the heels of an Instacart plug-in for ChatGPT, a feature that lets you express your food needs in plain language and shop away. And while Instacart is excited to ride the AI wave, they've promised to do so responsibly, ensuring that their AI model responds to relevant food-related questions and doesn't go rogue with unrelated recommendations. You know, like suggesting salsa for your morning cereal. Yikes!

There's no denying it, folks: AI is a buzzword hotter than a ghost pepper. Tech giants like Microsoft and Google, and apps like Snapchat, Yelp, Duolingo, and Discord are all diving head-first into the AI pool. And now with Instacart wading into these AI waters with "Ask Instacart," we're all going to be feasting on the benefits of this AI revolution.

So next time you're stressing over what to pair with those lamb chops, just ask Instacart. Bon appétit, my friends!

Siri, Do My Shopping: How AI is Revolutionizing Market Research!

If you've ever been halfway through a mouthful of fries when a server came up and asked for your feedback on a customer survey, today's your lucky day. Your time as a human feedback machine might be coming to an end, thanks to our good ol' pal, artificial intelligence.

Here's what went down: a joint study by Harvard Business School (HBS) and Microsoft showed that AI can do a bang-up job when it comes to figuring out what we consumers want. In fact, their AI model called generative pre-trained transformer (GPT-3, for the nerds among us), mimicked human behavior so well, it was like they created a virtual consumer who could shop and give feedback without the hassle of, you know, actually buying anything.

The AI model was fed a bunch of hypotheticals—like how much would it pay for toothpaste or a laptop—and it spat out answers that, according to economic theory, were pretty on point. Even more mind-blowing? The AI showed an expected increase in price tolerance with a higher simulated income. So basically, the more "money" the AI had, the more it was willing to shell out. Sounds familiar, right?

Now, you might be getting sweaty thinking AI is out to snag your job, but don't fret just yet. The study's researchers reckon that AI is not the enemy here, but rather a helpful tool that could improve the quality of survey designs and generate better insights. Plus, it might help bring down costs and increase productivity within the whopping $80 billion market research industry.

But the AI model is not perfect, though. There were instances where it didn't align with human behavior, like when it continued to pay the same price for subsequent glasses of wine, even after having consumed a few already. Us humans, being a sensible lot, would theoretically pay less the more we consume. So, it seems the AI might need a lesson or two on the concept of diminishing marginal utility.

The AI model also managed to get pretty darn close when estimating how much consumers value certain product attributes. For example, when tasked with determining how much consumers value fluoride in their toothpaste, it spat out $3.40, just 13 cents more than a recent human study's estimate of $3.27. And guess what? The AI can crunch these numbers in under 15 minutes, while the same task would take us mere mortals between three to six months and cost a cool $20,000.

If there's one thing we've learned from all this, it's that companies can use AI as a first line of market research, letting the AI model figure out what matters to consumers, and then iterating on those findings with real humans and data. It's like getting a cheat sheet before a test, and who wouldn't want that?

The future is here, folks. And it looks like it’s AI's world—we're just living in it. But hey, on the bright side, you might be able to enjoy your fries in peace from now on.

 📰 News From The Front Lines: 📰

 📼 Video Of The Day 📼

How AI Could Save (Not Destroy) Education

🛠️ Tools Of The Day 🛠️

Rep AI - Deliver personalized shopping experiences to everyone.

Top VC Funds - Find the perfect investors to fund your startups with a little help from AI.

Roll AI - Record cinema-quality remote video calls, add special effects, and edit and publish in minutes.

Fliki - Create videos from scripts or blog posts using realistic voices in 2 minutes!

Eyevisor - Get the professional advice from AI you need to get your career on track.

Taskade - A second brain for you and your teams.

🤌 Prompt Of The Day 🤌

Ok, So I got a little carried away writing today and simply do not have the room to add this report.. However, Look for an email later today and I’ll break this amazing technique down for everyone. Seriously, this will save your business hundreds if not thousands of dollars a month. Keep your eyes peeled and I’ll share everything with you all shortly.

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