Tag Archives: Google

Bard vs. GPT-4

Last week, Google debuted its latest challenge to OpenAI: the new Bard. The waitlist is gone and Bard has some great new features. But can it beat GPT-4?

Today, I put both bots to the test.


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Bard now integrates with search and maps and can access the internet. So I tested it against its closest GPT-4 equivalent: Bing Chat.

Bing Chat uses GPT-4 and has internet access. It’s integrated into a search engine, just like Bard.

And unlike ChatGPT Plus, it’s free! (You have to use Microsoft Edge, but it’s a pretty good browser.)

I posed identical questions to each bot. These are real questions I actually need the answer to.

Let’s see how they do!

One of the main things I use GPT-4 for is help finding blog ideas. Again this morning, it performed well:

The stories are interesting and relevant. The links don’t work, but hey, it’s new technology right?

Now, let’s try Bard:

Bard refused my request entirely, outputting nothing.

GPT-4 has saved me hours in research time. But for this application, Bard seems useless.

I’m attending a demo day for Australian startups tomorrow. Maybe my new friends can help me prepare?

GPT-4’s answer was outstanding!

It told me things about Australia I never knew. I had no idea the culture was conservative.

It also gave me some ideas for questions.

Perhaps I should ask the startups about their international expansion plans. I rarely ask an American startup that since our domestic market is already vast.

Next, Bard’s turn:

Bard’s answer was good, but less complete than GPT-4’s.

It homed in on the risk of Australia’s small market. But it didn’t take the next logical step like GPT-4 and tell me to find out what a startup’s international expansion plan is.

Time for our third and final question.

I’m doing some research on the US meatpacking industry (long story). So I wondered, how many meatpackers are there in America?

Let’s ask GPT-4:

Excellent answer! It found an exact number and provided a source.

But it also called out something beyond the numbers. This is an unusual industry, with huge concentration.

GPT-4 made sure I’m aware of that. Nice work, GPT!

Let’s give Bard a shot:

Bard’s answer doesn’t seem accurate.

It gave a number only half the size of GPT-4’s. Maybe it’s valid, but without a citation, I’ll never know!

It did correctly call out the weird feature of meatpacking — massive concentration.

So far, Bard looks like a bust.

However, I’m sure Google will keep working on it. In time, it may catch up with GPT-4.

But for now, Microsoft and OpenAI have a heck of a headstart.

Have you tried Bard? If so, what did you think?

Leave a comment and let us know!

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Google is Losing the AI Race

Today, Google is the king of search. But is it about to be dethroned?


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The search giant seems to face a new competitor every day. ChatGPT launched on November 30, with Perplexity and Allsearch coming shortly thereafter.

The “page of links” is starting to look antiquated.

Meanwhile, with nearly 200,000 employees, Google has released nothing in response. But new reports indicate Google may finally release a competitor this spring:

In addition to an ethical AI chatbot such as LaMDA, Google is now planning to reveal 20 more AI-based products at its I/O conference scheduled for May 2023. ChatGPT has sparked worry about the use and viability of conventional search engines, as the chatbot aims to provide answers to searches instead of just giving relevant links to users.

Taking over 5 months to respond to a mortal threat to your business is unacceptable. Google should’ve worked day and night to produce a ChatGPT competitor within 90 days.

So what’s the holdup?

Google has shown wariness in revealing AI products and services, especially with the raging debate on the ethics of using AI, with the potential for bolstering biases present in training data. All current AI offerings by Google are heavily restricted in terms of what they can be used for.

Large companies are obsessed with risk. Meanwhile, startups have to release something or they’re dead in the water.

By the time Google does release a competitor, it may already be outdated. OpenAI’s GPT-4 may come out in the first half of this year.

I don’t know what GPT-4 will be capable of. But seeing the massive improvement between GPT-3 and ChatGPT, I expect it to be very impressive.

How fast you launch and iterate is especially important in AI because AI tools can improve at incredible speed. From a recent column by economist Tyler Cowen:

ChatGPT, the model released late last year, received a grade of D on an undergraduate labor economics exam given by my colleague Bryan Caplan. Anthropic, a new LLM available in beta form and expected to be released this year, passed our graduate-level law and economics exam with nice, clear answers.

If that wasn’t impressive enough, ChatGPT and another chatbot just passed the United States Medical Licensing Examination. I certainly couldn’t do that!

Maybe Google will release a ChatGPT killer and blow us all away. But I expect to see it fall further and further behind, mired in complacency and risk aversion.

What do you think the future holds for Google? Leave a comment at the bottom and let me know!

More on tech:

Me vs. ChatGPT: Who’s a Better Blogger?

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GPT-Powered Search with Perplexity AI

For all its powers, ChatGPT has a fatal flaw: its training data only goes through 2021. Ask about anything recent, and it’s stumped.


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But a new tool lets you use the power of AI to find up-to-the-minute information. It’s called Perplexity AI, and it might be the best search engine ever.

Just a month old, Perplexity AI looks like a traditional search engine. But it uses AI to answer your question, instead of just providing links.

Its answers are pithier than ChatGPT’s — usually about a paragraph. And unlike ChatGPT, Perplexity cites its sources.

This helps us confirm the results are accurate. The lack of sources is a serious problem on ChatGPT, since it occasionally produces incorrect answers.

Let’s give this baby a test drive!

So Perplexity, how’s the market doing so far this year?

The answer isn’t perfect — it’s leaving off today’s return. But it’s accurate enough to be useful.

Meanwhile, ChatGPT is stumped:

Google doesn’t even seem to understand the question. It returns today’s performance only:

Let’s try something a little less time sensitive: what are the best selling albums ever?

Perplexity nails it, giving us a complete answer with excellent citations.

ChatGPT’s answer is restricted to US sales. It’s a decent response, but not as complete an answer as Perplexity’s.

In all, Perplexity seems better at answering questions than ChatGPT. But if you want to generate content, like a blog post or a screenplay, ChatGPT is the right choice.

Where does this leave search giant Google?

Microsoft plans to integrate ChatGPT into its search engine, Bing. Perplexity has already produced something similar, and there will surely be many more.

Meanwhile, nearly two months after ChatGPT’s release, Google has shipped….nothing.

If Google continues to stand still, its competitors will pass it by. And if people lose the habit of Googling, they won’t be back.

I remember the first time I used Google. It was so clearly better than other search engines.

Perplexity feels that way now. The results trounce Google, giving me a direct answer to my questions instead of a page of links.

Search meaning “a page of links” is dead. The question is, will Google die along with it?

What do you think of AI search? Leave a comment at the bottom and let me know!

I’m off tomorrow, so there will be no blog. See you on Wednesday!

More on tech:

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Me vs. ChatGPT: Who’s a Better Blogger?

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