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Google Gemini Deep Research: The best new AI tool you’re not using yet

Google Gemini Deep Research review, ChatGPT launches 1-800-CHATGPT, Microsoft dominates with most NVIDIA AI chip purchases and more!

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Everyday AI
December 18, 2024

Outsmart The Future

Sup y’all! 👋

We know you might be busy, between calling 1-800-CHATPGT and playing with the now FREE GitHub Copilot and all. 

But, wanted to quickly shout out the GenAI Collective and GoCharlie’s Brennan Woodruff for inviting me to judge their AI Startup Demo night at mHUB. 

We have the winner of the competition, Al Lagunas from Levee, joining the show tomorrow. Make sure to join us LIVE, or just leave your question here for us to tackle!

✌️
Jordan 

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: Is Google Gemini’s new Deep Research the BEST AI research tool? Should Perplexity be worried? We dive into Gemini Deep Research to show you why it’s so great. Give it a listen.

🕵️‍♂️ Fresh Finds: U.S. House caught ChatGPT’s o1 in a lie, Microsoft Recall is still not safe to use and Github launches free version of its Copilot. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: ChatGPT launches 1-800-CHATGPT and Microsoft dominates with most NVIDIA AI chip purchases and OpenAI’s non-profit set to make money? For that and more, read on for Byte Sized News.

🚀 AI In 5: We’re diving into ChatGPT Projects to show you how it works and a few secret hacks to maximize its usage. See it here

🧠 Learn & Leveraging AI: Google Gemini Deep Research is an amazing AI tool that you should be using. We show you how and why. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about ChatGPT Projects, Salesforce unveiling Agentforce 2.0, OpenAI releasing dev API updates and NVIDIA announcing Jetson Orin Nano Super Developer Kit. Check it here!

 Google Gemini Deep Research: The best new AI tool you’re not using yet 🔍

Perplexity Killer: Google Gemini's Deep Research?

(Also, is it weird saying that a trillion dollar tech behemoth is the one threatening the startup? lolz).

Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet.

Join the conversation and ask Jordan questions on Google Gemini here.

Also on the pod today:

• AI Tools and Deep Research 🛠️
• Comparison of AI Research Tools 🥊
• AI's Impact on Traditional Access to Information 🧑‍💻️

It’ll be worth your 57 minutes:

Listen on our site:

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Listen on:

Upcoming Everyday AI Livestreams

Thursday, December 19th at 7:30 am CST ⬇️

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Polymet is an AI product designer, Magic Inspector is an AI web test automation platform and Nuvio provides AI-powered financial management.

OpenAI – A new U.S. House task force AI report has revealed that ChatGPT’s o1 model was caught lying and trying to “outsmart” its user.

Microsoft – In a recent test by Tom’s Hardware, Microsoft’s Recall feature was caught screenshotting sensitive information.

Microsoft’s AI for Good Lab has unveiled an open source AI solution to transfer wildlife data from all over the world.

AI Tools – Github has launched a free version of its Copilot.

AI in Government – The DHS needs to improve the government’s AI risk assessments according to a watchdog.

U.S. Homeland Security has launched a new AI chatbot to help staffers draft reports, summarize information and develop software.

Perplexity – Perplexity has acquired Carbon, a retrieval engine that connects external data sources to large language models.

Anthropic – Anthropic has released new research on Alignment faking in large language models.

AI Startup – Oddysee has released a new tool that can generate photorealistic 3D worlds.

1. OpenAI Launches 1-800-CHATGPT 📞

In a bold move to broaden access to its technology, OpenAI has introduced a new way for U.S. users to connect with its popular chatbot via the phone at 1-800-CHATGPT. As part of a recent series of announcements, the company is offering 15 minutes of free chat each month, making AI interaction more accessible than ever. Additionally, any user globally can message the number via WhatsApp.

This launch comes amid an aggressive growth strategy as OpenAI expands its services to outpace competitors like Google and Amazon in the booming generative AI market, projected to exceed $1 trillion.

2. Microsoft Dominates AI Chip Market with Major NVIDIA Purchases 🤑

Microsoft has significantly outpaced its competitors in acquiring NVIDIA's AI chips, purchasing a staggering 485,000 Hopper chips this year—more than double that of Meta's 224,000. This aggressive strategy highlights a broader trend where tech giants are ramping up their investments in AI infrastructure, with overall spending on servers projected to hit $229 billion globally.

Meanwhile, as companies like Google and Meta push forward with their own chip developments, they may be signaling a shift in the industry that could reshape how businesses leverage AI technology.

3. OpenAI's Nonprofit to Cash In? 🤔

OpenAI is reportedly negotiating to pay its nonprofit arm billions as it prepares for a shift to a fully for-profit model, according to The New York Times. This move comes as the company faces pressure to restructure within two years to avoid turning its recent $6.6 billion funding into debt. OpenAI's board chairman Bret Taylor highlighted the complexities of balancing both nonprofit and for-profit elements in their corporate structure.

As this transformation unfolds, it could significantly impact how AI initiatives are funded and operated, potentially altering the landscape for startups and innovators in the field.

4. Google Eases AI Restrictions for High-Risk Decisions 📃

Google has updated its Generative AI Prohibited Use Policy, allowing customers to utilize its AI tools for “automated decisions” in high-risk areas like healthcare and employment, provided there’s human oversight. This change clarifies previous ambiguities that suggested a blanket ban on such applications.

While rivals like OpenAI maintain stricter prohibitions on high-risk automated decisions, Google’s approach could empower businesses to leverage AI more freely, potentially reshaping decision-making processes across various sectors.

5. EU Issues Crucial Opinion on AI Data Use 🇪🇺

The European Data Protection Board (EDPB) has released an opinion clarifying how AI developers can utilize personal data while adhering to GDPR regulations. Key aspects include the assessment of model anonymity and the potential for using "legitimate interests" as a legal basis for processing data, which could save companies from seeking individual consent.

This guidance aims to streamline compliance for AI firms, especially as they navigate the complexities of training large models without falling foul of privacy laws.

ChatGPT Projects – Secret ways to use o1 and GPTs and a quick review

OpenAI recently released its new Projects feature!

We’re diving in to show you how it works, when you should use it, and a few secret hacks that we haven’t seen anywhere else.

🦾How You Can Leverage:

This sound familiar? 

You’ve got a big project. 

Maybe it’s some market research, competitive analysis, or researching how a new law or initiative impacts your department. 

So maybe you open a tab or 12. 

Rattle off a few ChatGPT and Perplexity queries. 

But a few hours later, you’re still drowning in tabs and not necessarily any closer to getting that task done. Yikes. 

(But for real tho… does this one hit you right where it hurts?) 

If only there were a …… record scratch

AI tool that did the research for you on autopilot? 

Google Gemini’s Deep Research kinda does that. 

Today, we did a bit of research on Google’s newest Gemini offering — an AI researcher that you legit chat with, leave for like 5 minutes, come back and read a shiny report. 

But like…. It researches dozens or hundreds of websites.

If that kinda AI prowess is your cup of tea, then today’s Everyday AI show is definitely for you. 

Make sure to watch/listen to the whole show here and then dive down below for some more learning. 

Here’s what you need to know about Google’s small but mighty update that we’re really feeling. 

1 – How’s Deep Research Work? 😶‍🌫️

Literally like you have a human researcher ready to sleuth the inter webs for ya. 

(Good job Timmy!) 

First, you’ve gotta be on a paid Gemini Advanced plan. (For some reason, a Workspace account may not work.) 

So stop over to Gemini, drop Gemini some researching homework, give it like 5-10 minutes, come back to a report that you can read in your Gemini chat, or one-click open in Google Docs. 

Too good to be true? 

Not really. It’s actually REALLY good. 

And you know we’ve historically been tough on Google and Gemini, so that’s saying something. 

Try this: 

If you’re still not ready to Deep Research or shell out $20 for a monthly subscription, you can see a shorter version of Deep Research in action here. 

2 – Deep Search vs Perplexity vs. ChatGPT Search 🎯

Each have their strong suits.

For simple queries, ChatGPT Search or Perplexity might be better because of their speed.

Deep Research can take 5-10 minutes, but will legit crawl/read/analyze more than 200 websites in one swoop. 

Try this: 

Here’s our quick pros/cons of each: 

Perplexity: Great for quick queries with customizable sources, which is huge. Not so good at helping you learn about products, because its recent shopping update tends to just shove a product page in your face when you’re trying to learn about things. (Yeah, this is super annoying.) 

ChatGPT Search: Great for more open-ended general inquiries. If it’s more like a short Google search, Perplexity might be best. If it requires a little nuance or multiple-step searching, ChatGPT Search is great. Downside? The iterative/corrective prompts are kinda broken. Browse with Bing was much better here. (Maybe we’ll have to do a ‘This feature is broken’ segment.) 

Gemini Deep Research: If you think something would take like 10+ tabs or multiple Perplexity/ChatGPT queries, then Deep Search is the way to go. The fact that it literally can gobble up hundreds of websites in a few minutes is legit mind blowing. Downside? Given that it’s brand new, the guardrails seem a bit touch. As an example, asking for lists or multiple formats often just triggers a ‘Yeah, no bueno’ type of response without much explanation. 

3 – What’s The Downside of Deep Research? 🧍

Yeah, it does kinda seem too good to be true, right? 

You can get the best of like 10 hours of human research in 10 minutes? 

What’s the catch? 

Try this: 

Well…. What about the humans creating the content? As an example, we see our website and YouTube videos pop up in Deep Research often when researching AI-related thangs. 

Yeah, we’re a small fish. But think about giant content producers and media publications. The humans that visit the website create ad revenue for said companies. Whether it’s through display ads or capturing email addresses or selling products/services on those webpages, human employment relies on other humans visiting actual websites. 

So tools like Perplexity, ChatGPT and Deep Research make it better for humans on one hand, but potentially much worse on the other. 

What do you think? 

Hit us with a reply and lettuce know. 

For more on this topic, check out this recent show we did on the death of the Internet and Traditional SEO as we know it. 

⌚

Numbers to watch

43%

43% of respondents in NVIDIA’s State of AI in Financial Services 2024 Trends report are already using GenAI in their organization.

Now This …

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