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- The AI Hype is 'dead.' Here's why ❌
The AI Hype is 'dead.' Here's why ❌
Why the AI hype should be over, NVIDIA releases AI chatbot and overtakes Amazon, Google LLMs explained, and more!
Everyday AI
February 13, 2024
Outsmart The Future
Today in Everyday AI
6 minute read
🎙 Daily Podcast Episode: Can we stop talking about the "AI hype?" AI is just a part of the way we work now. Give it a listen.
🕵️♂️ Fresh Finds: A copilot for customer interviews, Microsoft’s 3 AI trends to watch, and the Vatican’s AI mentor. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: NVIDIA releases AI chatbot and overtakes Amazon in market value, Sam Altman warns of AI dangers and white-collar jobs at risk to GenAI. For that and more, read on for Byte Sized News.
🚀 AI In 5: So what’s this new Gemini Ultra about and what happened to Bard? We’re explaining Google’s LLMs. See it here
🧠 Learn & Leveraging AI: The AI hype has ended. Here’s how you should be using AI on a daily basis. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about AI art companies fighting back in lawsuits, Google investing $25M on AI education, and creating your own AI headshot. Check it here!
There is No AI Hype - This is how the world works now 🤷
The AI Hype.
We’ve all heard it before. “This AI wave is taking off, but it’ll crash.”
Well breaking news. There is no more AI hype.
We're two years past the GenAI wave and AI is more prevalent than ever.
AI is just a part of the way we work now.
Join the conversation and ask Jordan questions on AI here.
Also on the pod today:
• Comparing the Internet and GenAI era 🌐
• The Current Economy's AI Focus 💰
• Generative AI Hype Cycle 🔄
It’ll be worth your 40 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Upcoming Everyday AI Livestreams
Wednesday, February 14th at 7:30 am CST ⬇️
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – fforward.ai is a copilot for customer interviews, MagiScan lets you turn anything into 3D, and Wiki generator creates a wiki structure for your team.
Big Tech – Here are Microsoft’s 3 big AI trends to watch in 2024.
AI Startup - A former Salesforce co-CEO is looking to bring conversational AI to enterprises with his startup.
LLMs - This MIT study found a way for chatbots to have non-stop conversations without crashing.
AI in Education – This teacher discusses the struggles of trying to use an AI detector as “proof” of students using AI.
Read This – Did you know that the Vatican has an AI mentor? Meet Franciscan friar Paolo Benanti.
1. Nvidia's Market Cap Soars, Overtaking Amazon 📈
In an epic market showdown, Nvidia swoops in to claim the fourth most valuable U.S. company spot, surpassing Amazon briefly. With its market value peaking at $1.82 trillion, Nvidia's rise is fueled by the AI frenzy and its dominance in supplying tech companies with AI chips.
2. Nvidia's Releases AI Chatbot: Chat with RTX 🤯
Nvidia's early version of Chat with RTX is making waves with its ability to analyze YouTube videos and documents in seconds. From summarizing entire videos to scanning PDFs for data, this AI chatbot shows promise for data research and analysis. Despite some bugs in the demo version, Chat with RTX leverages powerful RTX GPUs to speed up queries and provide near-instant responses.
3. OpenAI CEO Warns of AI Dangers 🚨
OpenAI CEO, Sam Altman, raises the alarm about potential dangers from subtle societal misalignments around artificial intelligence at the World Governments Summit in Dubai. Altman advocates for government regulation and proposes an international body to monitor AI developments.
4. Generative AI Putting White-Collar Jobs at Risk 💼
AI is taking over, and it's not just manufacturing jobs feeling the heat. From Google to UPS, layoffs are happening as companies embrace productivity-boosting GenAI technologies that can create content and synthesize ideas. Corporate executives predict a significant wave of job transformation, with roles of middle and high-level managers at risk.
5. Language Models Level Up With New Study 🚀
In a groundbreaking study by Tencent, researchers unveiled a game-changing method to enhance language model performance. By employing a "sampling-and-voting" approach with multiple agents, they saw significant improvements. The experiment demonstrated that even smaller models could outperform larger ones by simply scaling up the number of agents.
Google Gemini Ultra vs Google Bard?
So what’s this new Gemini Ultra about and what happened to Bard?
We’re explaining Google’s large language models and how Bard became Gemini Ultra.
Check out today's AI in 5.
Related AI in 5:
🦾How You Can Leverage:
You know what really grinds our gears?
People calling AI hype.
Or, asking where GenAI is at in the hype cycle.
We’ve (literally) talked with and to thousands of business leaders, and this is one of the most commonly overlooked nuances when it comes to understanding GenAI.
GenAI is not a phase.
That’s straight up silly.
That’s like saying electricity is a fad and candles are coming back. Or that smartphones are just hype and rotary phones are forever.
Just wrong.
It’s #HotTakeTuesday, so we’re pulling zero punches today.
On today’s show, we tackled the misconception that GenAI is just hype that you can place on a hype cycle.
(Hint: you can’t.)
Naaaa shorties. GenAI isn’t hype. It’s the only way forward for biz.
Wanna see what we mean?
Let’s start throwing some flames and break down today’s convo 🔥
1 – You legit can’t plot GenAI 🤷️
So, we kinda picked on this Gartner ‘Hype Cycle’ for AI from July of 2023. When this came out this past summer, we talked about how wrong it was at the time.
(Sorry Gartner. We promise we really respect your work and stuff, but this ain’t it.)
When this was published in July 2023, we were told that Generative AI was at the ‘Peak of Inflated Expectations.’
WRONG.
Don’t worry, we always bring receipts with our hot takes.
Does this Google Trends chart look like inflated expectations in July 2023?
Obviously not.
It shows that the (search volume and) demand for GenAI has skyrocketed since July. And when we check this chart again in 6 months, we expect a similar upward curve.
Try this:
We’re pretty big on facts over fiction.
And plotting GenAI on a hype cycle not only grossly glosses over the fact that this is an apples-to-rocket ship comparison, but it’s simply out of touch.
200 stats and facts on GenAI? Yeah, we bring the receipts like we’re the printer at CVS. 🧾
2 – GenAI creates intelligence 🧠
Another big disconnect with GenAI?
Business leaders trying to compare it to the advent of computers, the internet or cloud computing.
False comparisons, shorties. 🤦♂️
All other tech innovations changed how we share intelligence.
Generative AI changes how we create intelligence.
(Yes, GenAI and Large Language Models are literally creating new intelligence.)
Try this: Still skeptical that GenAI is creating NEW intelligence? We hate bringing receipts again and wasting all this paper but…..
- Researchers are using AI to predict local climate change
- Researchers created a system called SayCan that allows robots to execute complex tasks by leveraging LLMs
- A LLM called Proven discovered new protein designs for therapeutics
- Google Deepmind researchers used their LLM FunSearch to find a solution for a math problem that’s plagued mathematicians for decades
That’s NEW intelligence, y’all. 👆 Created by (somewhat) simple LLMs.
3 – GenAI is iterative + improving 🧑🏫️
The internet wasn’t constantly self-improving.
Cloud computing wasn’t self-duplicating.
Generative AI is built different.
Yes, it generates complex outputs that can help us grow our companies and careers.
But, it’s also LEARNING.
As in, it is learning from hundreds of millions of users how to not only better solve their queries in the future, but how it can self-improve itself so it doesn’t even need humans.
Weird, we know. But as we launch toward a future of AI agents and Artificial General Intelligence, we have to understand that we can’t compare GenAI to anything.
Because nothing in the history of humankind has functioned at this level of power with a bar of entry so low an ant could clear it.
GenAI is not only in a league of its own, it’s in a sport of its own. A genre of its own.
Try this: Ready for a mind trip? Read this MIT article on how AI is learning how to create itself. (Yeah, then try and place GenAI on a hype cycle!)
⌚
Numbers to watch
$1.83 Trillion
NVIDIA briefly surpasses Alphabet and Amazon ($1.83 Trillion) in market value becoming the third most valuable U.S. company. (They’ll all be fighting back-and-forth for third most valuable company by market cap this week)
Now This …
Let us know your thoughts!
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