🦾How You Can Leverage:

Do we even know what we’re talking about? 

After 300+ episodes of Everyday AI, are we just a loony bunch of AI geeks or are we (kinda) predicting the future? 

Today, we tackled that issue. Cuz you know we always bring the receipts. 

Even when it comes to fact-checking ourselves, which we did live today. 

(Insert nervous face here.) 

We capped off our 2023 livestream schedule with 24 bold GenAI claims for 2024. So, we figured, given that it’s the half-way point of the 2024 and all, that we revisit those wild claims from December. 

Because TBH if we were like 1 for 24, then you should probably stop listening or reading. 

(Luckily, we did a little better than that.) 

So, let’s rip the Band-Aid off, and revisit our predictions from December and see if we know anything. 

And we’ll also drop some of our fave takes from our livestream audiences as we go along. 

Let’s goooooooooooo

24. Second Computer AI

Quick Take:

We thought fosho that Second Computer AI would be a thing.

Essentially, when companies ban LLMs or other GenAI tools, smart employees will use their own personal devices (or internet!) to access it all. 

Were we right or wrong?

This one’s hard to quantify.

Anecdotally, we see and hear it allllll the time. There’s no official study or stat on this one, so we’ll just slap an old “probably right” on this one. Lolz. 

But, there’s plenty of wild stories about this. 

23. Individualized Learning Boom

Quick Take: 

We thought the education world would change with AI-powered personalized learning taking off.

Were we right or wrong?

Not quite there yet.

We've barely tapped the surface. I envisioned people building GPTs for day-to-day use and creating individualized learning paths, but it hasn't really happened.

GPTs are still there, still available, and still sorely underused. Maybe we'll see more action in the second half of 2024.

Can’t deny, though, there’s a steep rise in personalized AI. 

22. AI Robotics Grabbing the Limelight

Quick Take:

We said AI robotics would grab the limelight and start being used in real life.

Were we right or wrong?

We're getting there, but not quite yet.

Figure AI wasn't even a thing when we made this prediction, and now they're all over the place. Remember that 60 Minutes demo?

A humanoid robot that could understand natural conversations and perform tasks simultaneously. Wild stuff.

Different AI humanoids are reportedly going on sale this year, so let's see what happens.

21. AI Misinformation in Elections

Quick Take:

We predicted AI-generated misinformation would run rampant during the 2024 election cycle.

Were we right or wrong?

The election cycle is just starting to heat up, so the jury's still out. But look at the tools we've got now - Runway Gen 3, Luma Dream Machine, Kling. 

The potential for disinformation is definitely there. As these tools mature in the coming weeks and months, we might be in for a wild ride.

20. No Meaningful AI Legislation

Quick Take:

We said there'd be no meaningful AI legislation in the US.

Were we right or wrong?

Dead right on this one. Pew pew. 

And there won't be any meaningful legislation anytime soon.

Remember, it took 20 years to get meaningful copyright laws. We're still legislating the Internet based on laws from 1996.

If you think we're getting federal AI laws soon, I've got a bridge to sell you.

19. AI Watermarks Won't Work

Quick Take:

We predicted a lot of talk about AI watermarks, but said they wouldn't work.

Were we right or wrong?

Jury's still out, but it's not looking good for watermarks. 

Google, Meta, and others have talked a big game, but have you seen any of these watermarks in the wild?

As soon as there's a widespread watermarking system, you can bet there'll be 20 companies popping up to remove them without a trace.

18. Grok Fades into Oblivion

Quick Take:

We said Grok would fade into oblivion.

Were we right or wrong?

Nailed it. This article says it has “No reason to exist” lolz. 

Remember when smart people thought Grok was going to change large language models? Yeah, me neither.

Training an LLM on Twitter data is like trying to make a gourmet meal out of leftover fast food. 

No one serious is using Grok. Sorry, Elon. And we don’t see a use-case. 

17. Apple Joins the AI Party

Quick Take:

We predicted Apple would join the AI party late but be the coolest kid there.

Were we right or wrong?

The party's still going, and Apple's just warming up. They've made some noise, but we haven't seen their full AI dance moves yet.

Stay tuned for the second half of 2024. Right now, we should see “Apple Intelligence” roll out in late 2024. 

(Side note… ughhhhh we hate Apple’s trying to rebrand AI.) 

We covered this one in-depth, go check it out here. 

16. Home Assistants Finally Get Smart

Quick Take: 

We thought home assistants would finally get smart in 2024.

Were we right or wrong?

We're seeing progress, but we're not quite there yet. But, we TOTALLY feel this will still land this year. 

Alexa's next version might use an LLM, Google's Project Astra looks promising, and GPT-4 could power Windows devices. 

The potential is there, but as of today, our home assistants are still pretty dumb.

15. AI Agents Become Usable

Quick Take: 

We said AI agents would actually become usable, and we'd see more agents than humans.

Were we right or wrong?

We're not there today, but just look at what's coming: GPT-4 with agent capabilities, Microsoft's Agent Studio, Google Astra, OpenAI's GPT-4. 

The AI agents are coming, y’all. (Go watch this video.) 

We might not have more agents than humans yet, but don't count it out for the end of the year.

(That might be our spiciest take, no?) 

14. RAG Becomes the New Buzzword

Quick Take:

We predicted Retrieval Augmented Generation (RAG) would become the next AI buzzword.

Were we right or wrong?

If you're in the AI space, you can't escape RAG. It's not the dictionary.com word of the year, but smart companies are all over it. 

Without RAG, those fancy LLMs aren't going to be very helpful with your company's data.

13. Traditional Internet Browsing Becomes Unbearable

Quick Take:

We said traditional Internet browsing would become unbearable.

Were we right or wrong?

We can't use the Internet anymore without AI. Yuckgrossbarf. 

Content companies have lost so much traffic that they've tripled down on ads.

You've got 4 pop-up windows and the actual content is less than 10% of the screen. It's a nightmare out there.

12. AI Copyright Battles Become Commonplace

Quick Take:

We predicted AI copyright battles would become commonplace.

Were we right or wrong?

Nailed it.

The day after our prediction, the New York Times sued OpenAI and Microsoft.

Now we're seeing content partnerships left and right. Time Magazine, Associated Press, Financial Times - they're all jumping on board. 

It's sue, join, or die out there for media companies.

11. GenAI Training Demand Outpaces Supply

Quick Take: 

We thought demand for GenAI training would outpace supply.

Were we right or wrong?

This one's hard to quantify, but we're seeing high demand. Companies are scrambling to get their teams up to speed on AI. 

And if for some WTF reason your company is still on the ‘should we use AI or not?’ fence, y’all should get your booties off there. 

Whether supply has truly been outpaced is debatable, but the hunger for AI knowledge is definitely real.

10. Big Tech Becomes Venture Arms

Quick Take:

We said big tech companies would essentially become venture arms.

Were we right or wrong?

Look at Amazon investing nearly $3 billion in Anthropic. Sheeeeeeeesh. 

NVIDIA's basically become an investment company. They’ve got 19,000 startups in their Inception program. (That’s nutty y’all.) 

These tech giants are giving startups what they need most: money and compute.

It's wild out there, and Big Tech is definitely the biggest investment arm out there. And it’s not even close. 

9. NVIDIA's Stock Continues to Soar

Quick Take:

We predicted NVIDIA's stock would continue to soar. Like…. Last summer. 

Were we right or wrong?

If you didn't believe us before, believe us now. 

NVIDIA went from an unknown a few years ago to trading spots with Microsoft and Apple as the most valuable company in the world.

Not in Big Tech. Not in the U.S.

The WORLD.

Yeah, we nailed that December 2023 prediction, but we’ve been screaming about this for a long while. 

They've got the thing that's more valuable than money right now: compute.

8. GPT-5 vs Gemini Ultra Showdown

Quick Take:

We thought GPT-5 would outshine Gemini Ultra.

Were we right or wrong?

Well, we don't have GPT-5 yet, but GPT-4 is still spanking Gemini in the ELO scores. (Blind side by side scoring.) 

And that’s actually a sizable gap, even if it might seem small. 

7. The Year of Video AI

Quick Take:

We said 2024 would be the year of video AI.

Were we right or wrong?

Have you seen Runway Gen 3? Luma Dream Machine? Kling? 

Bonkers. 

And we don't even have Sora yet.

The progress in just the last few weeks has been bonkers. Video AI is here, and it's only getting better.

I mean…. Look at this Twitter thread shorties. 

6. GPT Wrappers Die Off

Quick Take:

We predicted GPT wrappers would die.

Were we right or wrong?

Remember all those "chat with your PDF" companies?

Yeah, me neither.

The big players have integrated these features, and the quick-and-dirty wrappers and even AI unicorns are fading fast.

5. GPT Store Needs a Boost

Quick Take: 

We said OpenAI would need a GPT boost for its GPT store to be a smash hit.

Were we right or wrong?

Spot on shorties. 

The GPT store hasn't been the iOS App Store killer everyone thought it would be.

OpenAI dropped the ball here, and they'll need to step up their game to make it a real success. 

4. AI Leads to Job Losses

Quick Take:

We predicted AI in the workplace would lead to massive job loss in the US.

Were we right or wrong?

Nobody wants to talk about this, but the numbers don't lie. 

Tech layoffs were at an all-time high in Q1 2024, even as companies posted record profits.

 Follow the money, folks. The AI revolution isn't all sunshine and rainbows.

3. Early AI Movers Gobble Up Competitors

Quick Take: 

We thought early AI movers in the business world would gobble up bigger competitors.

Were we right or wrong?

We haven't seen the full effect of this yet, but keep your eyes peeled.

Companies that adapted early to AI are positioning themselves to leapfrog their slower competitors. The real shakeup might still be coming.

2. Big Acquisition in the LLM Space

Quick Take:

We predicted a big acquisition in the large language model space.

Were we right or wrong?

Microsoft's acquisition of Inflection AI might have flown under the radar, but it counts.

Nearly $650 million in licensing, potentially over $1 billion total.

The big players are making moves, just like we said they would.

(So…. checkmark that one y’all!)

1. GenAI Wave Becomes a Tsunami

Quick Take:

We said the generative AI wave would become a tsunami in 2024. Straight up — the Gartner Hype cycle don’t apply here.

Were we right or wrong?

Forget the Gartner hype cycle.

(What Joe said. lolz)

AI isn't a trend; it's the future of work.

With Copilot rolling out and Apple gearing up for on-device AI, we're just seeing the beginning. If you're not using an LLM daily now, you will be soon.

The tsunami is here, folks. Grab your surfboard.