Hey👋,
I'm Giacomo

xAI is going to win the AI race.

Grok 3 has a fundamental advantage over competitors:

Real-time information!

Financial markets recently fell and I wanted to know why.

Grok gave me an answer as of "March 5, 2025 at 3.56 AM PST".

If I had prompt it an hour later it would have given me a different answer.

This is a crazy breakthrough!

It mentions several sources including recent X posts, updated to few hours earlier.

Elon Musk sits on a goldmine of real-time data:

- X posts
- visual information collected from Teslas' cameras.

Real time information gives AI the context necessary to act like a human.

Many of our actions are determined by the imminent context rather than previous knowledge or experience.

So should be the actions of an AI chatbot, a self-driving car or a humanoid robot.

At this point Musk has it all:

- the money
- the data (proprietary data, unlike OpenAI which relies on the open web)
- the media
- the political influence
- the factories
- the manpower (thousands of loyal employees)

oh and the marketing power!

"Grok me this" is the new "google it".

Mad!

From GPT-1 to GPT-4.5: from 😂 to WOW!

In just 7 years, Ai went from a joke to mind-blowing.

What about the next 7 years?

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2018 - GPT-1: Couldn't even answer a simple question.

2019 - GPT-2: Responses were messy, almost gibberish.

2023 - GPT-3.5: The real breakthrough.

2023 - GPT-4: Set the standard for Ai chatbots.

2024 - GPT-4.5: even smarter, better, almost human.

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All of this in just 7 years.

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Imagine where we’ll be by 2032 🤯

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What do you think the next 7 years will bring?

When you thought the UX couldn’t get more crowded… 😅

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OpenAI just dropped GPT-4.5, what’s new?

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🔹 It's more "human".

It should better understand how humans think and what they need.

It knows when to engage in deep conversation and when to be "cold".

It’s should also be better at understanding emotions and deep intent.

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🔹 Fewer hallucinations.

Larger knowledge base > better at delivering factual information with fewer errors.

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But…

GPT-4.5 does not “reason.”

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In practice, GPT-4.5 might replace GPT-4o for everyday tasks, while we’ll still rely on o1 and o3-mini for complex problem-solving.

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The good news is that OpenAI knows choosing between 9+ models is a nightmare. 😪

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In their blog post announcing GPT-4.5, they stated:

"In the future, we will work to simplify the user experience so AI 'just works' for you."

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It'll be about time!

Imagine being credited $81tn.

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Happy Friday everybody! 🥳

Want to know a secret?

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I'll show you how I used ChatGPT to write yesterday’s post.

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Not entirely, but enough to save hours of research and polish.

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Yesterday, I wrote about how social media is shifting towards paid subscriptions. To back up my argument, I needed a full list of subscription products from major platforms.

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Rather than spending hours collecting data, I used Deep Research on ChatGPT to generate a comprehensive table with all the details.

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I used a short and simple prompt, no complex prompt engineering here.

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I quickly drafted my post, then I ran it through LinkedIn GPT.

LinkedIn GPT is a custom GPT I built by uploading all my past LinkedIn posts (yes, all of them!) plus some content from my favorite creators.

It outputs a refined, high-impact post that still sounds like me.

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Many creators want you to buy complex templates and courses on how to automate your life with AI. But this is not the point.

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AI doesn’t have to be complicated. If it does feel complex, you’re probably doing it wrong.

It should be so simple that it becomes part of your daily workflow, as a personal assistant rather than a replacement (for now).

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How do you use AI in your daily work? 👇

ChatGPT Deep Research is now available to all Plus users!

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Two weeks after I got my Pro $200/month subscription 😭

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Deep Research was by far the most attractive feature of GPT Pro.

I used it a lot and saved countless hours already.

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Soon after its launch, it was copied by Perplexity and included in its $20/month subscription.

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Then it was copied by xAI Grok, while Google already had its own version in Gemini Advanced.

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GPT Plus gives 10 Deep Research queries per month, which is not a lot, but already enough for most users.

GPT Pro gives 120 queries per month, more than you'll ever need I think.

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Now it'll be all about who provides the best Deep Research results!

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So far, I have tried GPT Pro and Perplexity and the former still wins.

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But we'll see!

💰The internet is going premium.

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We're witnessing a fundamental business shift:

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The ad-supported internet is giving way to a subscription-based model.

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Just look at social media:

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‍LinkedIn Premium: $29.99+ / month

‍X Premium: $3+ / month

‍Meta Verified: $11.99+ / month

‍YouTube Premium: $13.99 / month

‍Snap Inc.+: $3.99 / month

‍Telegram Messenger Premium: $4.99 / month

‍Reddit, Inc. Premium: $5.99 / month

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Even TikTok is testing an ad-free $4.99/month subscription!

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Search is no different:

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‍Perplexity Pro: $20 / month (soon launching its own premium? browser)

‍ChatGPT DeepSearch: $200 / month

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Soon, paying for a "good enough" version of the internet will be the norm.

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This changes everything:

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Digital marketing, advertising, website UX, etc

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Are we ready for a world where the best online experience comes with a price tag?

Perplexity is launching its own browser!

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It makes a lot of sense. Here’s why: 👇

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Yesterday, Perplexity announced its new “Agentic” browser: Comet.

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The strategy is to own the entire user journey, from search to browsing, and even to shopping with features like "Shop like a Pro."

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Pro subscriptions and shopping can be profitable, but last November Perplexity admitted that "subscriptions alone do not generate enough revenue."

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So, where do you find extra revenue streams?

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Advertising, of course!

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Perplexity has already started to test sponsored follow-up questions in its AI chatbot. But with its own browser, it’s going all in. 🚀

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Owning a browser means owning:

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↳ How cookies and user data are stored.

↳ How ads are targeted, displayed, and monetised

↳ How users interact with search and shopping.

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Even social media giants like Meta and TikTok route external links through their own in-app browsers.

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AI is supposed to change everything…

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Yet, AI companies are falling back on traditional business models, like advertising.

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The big question is:

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Why hasn’t Google done this with Chrome and Gemini? 🤔

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Not yet, but they will. Inevitably.

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At that point, will Perplexity still stand a chance?

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AI booked me a flight while I was… 🚽💩 busy.

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That’s the real power of AI agents. Not speed, but delegation. They free us up to do anything else. Yes, even that 😅.

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Take Operator by OpenAI.

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I gave it a simple instruction:

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"Find me the cheapest direct flight from X to Y."

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It didn’t just fetch a list of flights. It reasoned, researched, and optimised, scanning multiple airports to find the best option.

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Next step would be including train fares to and from the airport for a real total cost comparison.

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Unlike automations, AI agents interact in real time:

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→ They ask for clarifications.

→ They offer multiple options.

→ You can change scope on the fly, like when I switched flight dates mid-process.

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My booking didn’t actually go through because Operator doesn’t store my personal or payment details, so it asked for me to take over.

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But I'm sure there's a way to fix this.

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A few interesting facts for marketers:

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-> Operator browses from the US.

Not sure if it's because I use a VPN to access it, or it does it regardless. But it's likely agents will be primarily US-focused. This is a potential challenge for European marketers, who will need to optimise for US as well.

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-> It relies on Bing for search.

Your SEO strategy is better be strong on Bing too, not just Google.

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AI agents are still in their early days, but it's now clear where we’re headed.

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Marketers, are you paying attention?

Zapier automations are NOT AI agents.

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And yet, many people sell automations as "AI agents." They’re not.

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Here’s the difference:

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What an AI agent actually is:

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A system that, given a problem (even a vague one), figures out the best way to solve it. It decides its own steps and executes them autonomously.

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Here's how an AI agent and a regular automation solve the same task:

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“Book the cheapest flight from Switzerland to London on May 7th.”

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👉 AI agent:

It searches the web, compares multiple flights dynamically, finds the best option, and (ideally) books it.

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👉 Zapier automation:

A rigid, predefined workflow that follows explicit step-by-step instructions.

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Steps:

1️⃣ Get ChatGPT to generate Python code to scrape Skyscanner.

2️⃣ Run the code (fingers crossed it works).

3️⃣ Scrape Zurich-Heathrow flights.

4️⃣ Scrape Zurich-Stansted flights.

5️⃣ Scrape Geneva flights…

🔹 … Step 15: Get ChatGPT to determine the cheapest flight.

🔹 … Step 16: Open Skyscanner and book it yourself.

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Key difference:

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Automations follow preset instructions, you tell them exactly what to do. AI agents figure things out on their own.

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Both can solve the problem. But agents are flexible, like a human.

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For example, if you want to change the flight date with an AI agent, you simply update your initial prompt. The same as changing the dates on Skyscanner.

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With Zapier, you need to edit the entire workflow.

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Have you tried some of these?