Tari Ibaba, Author at Coding Beauty

Adobe’s new AI video generator is insane

By Tari Ibaba / Last updated on February 17, 2025

Adobe just changed everything for AI video generation.

Their new Firefly video model is finally here and it already has insane advantages over Sora and even Veo 2.

This is insane.

Like you’re telling me this wasn’t taken by some National Geographic photographer. This actually came from an AI.

So where exactly are we going to be a year from now?

I agree with Scarlett Johansson (lol) — we should really do something about deepfakes before it gets out of hand.

But only if we can pretend like there’s any going back from this — which there isn’t…

Massive misinformation is on its way — already here as we saw from the fake AI video of celebrities protesting against Kanye West.

At this rate soon video evidence won’t be able to hold up in court — they’ll just say it’s a deepfake right? Who would know? It’s already happening for audio, right?

From a different video generator, but this was 7 months ago! From China, ha ha ha…

With this new update Adobe now has video + image + vector generation all in the same app — genius move to gain an upper hand in this part of the AI race.

They know that the value of an AI tool isn’t just in how good it is — but how deeply integrated it is into a workflow that convenient and familiar.

Even if other tools like Sora produce slightly better videos, the deep integration of all their creating tools will still give them a major advantage.

With one ecosystem you can generate images… then edit them yourself… or with the AI…

Then transform the image into dynamic videos and scenes… Then create audio for the scenes from text…

Then translate the audio in the scenes to several other languages — syncing the lips perfectly (wild stuff).

Then you can still create fresh videos from scratch with text prompts giving you precise control over the style and camera angles…

And you can still edit them yourself for total precision…

The integration is simply unbeatable — and they already have a strong user base of many millions.

Everything is so connected and cohesive from conception to production.

And they realize this and so they tie everything together with Firefly in their Creative Cloud subscription.

And of course you’ve still got the standalone subscription for general users, so they still compete directly with Sora and Veo 2.

And once again they claim to have only used “licensed” and “public domain” content for the training, just like the did for the image generation model.

Of course hardly anyone is going to care about this when choosing tools, ha ha.

But I guess it’s a nice way to virtue signal and appear morally superior to lawsuit-ridden rivals like Midjourney and OpenAI, lol.

It’ll just be really interesting to see how good these tools are gonna get.

Imagine: complete hyper-realistic, engaging, comprehensive 2-hour long movies from a few paragraphs of prompts.

So we won’t be just imagining…

JetBrains is working on something huge to destroy Cursor and Windsurf

By Tari Ibaba / Last updated on February 11, 2025

The makers of WebStorm and IntelliJ have zero intentions of being left behind in the race for the ultimate coding AI IDE…

Enter Junie — an incredible upcoming coding agent (that word again) from JetBrains that could make you regret ever paying for Windsurf or Cursor (or Copilot, ha ha).

The agent will understand your code on a deep level and make high-level changes — seriously line-by-line coding is becoming a thing of the past guys…

And of course this will directly compete with the incredible Windsurf Cascade feature — and Cursor Composer.

But it looks like Junie will go even further with deep understanding of context and learning your unique coding style to keep things consistent.

It’ll even be able to automatically create and run tests for your code in a structured way.

Similar to all those testing extensions for VS Code.

But even better cause this would work for several languages.

Any time you tell it to make a change it would run the tests automatically and ensure that the changes it made are correct — something you can also verify yourself of course.

Looks like it could even create its own tests for the specific changes it makes to your code…

You see with tools like this, the developer role will shift a lot from typing and code monkey-ing, to very high-level direction and monitoring.

You may still need to learn programming languages, but mainly for keeping the AI in check and avoiding errors.

And eventually even this could be done by the AI itself.

JetBrains certainly has a key advantage here with their years of experience creating coding tools.

They also have a strong user base of over 11 million people so there’ll be instant adoption once Junie goes live.

People already familiar with the Jetbrains IDE experience would have no reason to switch to VS Code forks like Cursor and Windsurf.

I also wonder whether they’ll use their custom model or they’ll let devs switch between the big names.

All the current players have gone the latter route, so it’ll be interesting to see how that goes.

Of course this isn’t their first time jumping on the AI bandwagon.. they’ve already released an AI coding assistant before… but looks like it failed miserably.

Junie is clearly a rebrand to distance themselves from the flop, especially with the fresh new agentic abilities it’s gonna have.

Let’s see how it goes.

OpenAI just released a desperate new model to stop DeepSeek

By Tari Ibaba / Last updated on February 3, 2025

OpenAI just dropped a brand new model to try to rise above the DeepSeek craze and get back into the spotlight.

And it looks like they’ve been pretty successful with that…

o3-mini breaks boundaries and re-overtakes DeepSeek in key areas, including in this incredibly tough AI benchmark that no other model could reach even 10% accuracy in…

Doubling down on their questionable naming scheme to release o3 mini — a seemingly faster and smaller version of the o3 that came out a few weeks back.

And the biggest deal here is the price — it’s free to use.

Showing just how major the DeepSeek blow was — from confident delusions of a $2000 per month subscription for o3, to now letting anyone access it.

They’ve gotten a huge huge reality check from the competition.

Now they’re going to be thinking long and hard about pricing anytime a new model comes out.

So they’re actually 3 sub-tiers for the o3 mini-tier: low, medium, and high.

Pretty cool to see smaller o3-mini outperform even the default version of o1 in areas like coding and math.

But DeepSeek is still better in certain areas — like the coding:

But o3-mini did outclass DeepSeek on an extremely difficult AI benchmark called Humanity’s Last Exam (HLE).

HLE is basically a set of 3,000 questions across dozens of subjects like math and natural science — it’s like the OG benchmark to check just how advanced a model is at reasoning and knowledge.

So it’s free for everyone right now, but of course not exactly…

It still has the cap like all the other super expensive models like o1 — even paying Plus users have this cap.

And you only get o3-mini low and o3-mini medium for free.

Sneaky clever naming — they can still technically say they made “o3” free, when you don’t even get the best sub-tier of the mini-tier of o3.

But I guess this just means we’ll be getting a new DeepSeek model soon (lol)? Since they apparently trained their r1 model with tons of OpenAI model data.

And couldn’t OpenAI also “steal” this new DeepSeek training method to create a derived model using o3 data? That could even be more accurate than DeepSeek since they’d have access to the data directly.

It’s clear everyone is really buckling up now… Google too announced a model shortly after the DeepSeek news — Gemini 2.0 Pro.

Simply couldn’t ignore the speed at which this thing blew up… #1 in App Store and Play Store in like how many days? No way…

One thing we can see this — investing so much money to stay ahead of the AI race and maintain market share, MAY not be worth it after all.

If it’s always going to be this easy for competitors to catch up to new models and with lower prices, will they ever be able to eventually get an worthwhile ROI in the future from all this investment?

How much longer can they continue to justify the value to investors and keep getting all those billions and billions?

And clearly there’s no other real moat to keep users locked in, as we saw with how people rushed to download DeepSeek.

It may not be long before we starting seeing ChatGPT experience enshittification as they try to squeeze out any cash possible.

Maybe we’ll start seeing ads in ChatGPT like Bing Chat does now, ha ha! Even kind of surprising to see how Google’s Gemini still hasn’t gotten any ads at this point.

Unless they figure out how to cut model costs drastically, they’re going to have to keep burning more cash while still keeping prices as low as possible — hoping not to get outshined by the competition so they can keep getting more cash to burn.

One thing’s clear: the next few months will decide a lot.

DeepSeek really destroyed OpenAI and ChatGPT without even trying

By Tari Ibaba / Last updated on January 30, 2025

Big Tech truly got the shock of their lives from China.

They really thought they were light years ahead of everyone else just because they had all the money in the world.

But DeepSeek just taught them a lesson never to forget.

After these tech giants blindly poured all those billions and billions of dollars into their models in desperate attempts to stay ahead in the AI race.

DeepSeek spent just a tiny tiny fraction of that — less than $6 million — to train a model that destroys 97% of all the major models like GPT-4 and Gemini in every way.

And far far cheaper to run too — China 😅

You easily see how DeepSeek is by far the most cost-efficient of all the major models.

And not just relatively efficient but more intelligent on an absolute measurement.

Only o1 can compare — and you can see just how ridiculously expensive it is — just look at the crazy gap to DeepSeek and all the rest.

DeepSeek is at least 20 times cheaper than o1 and yet matches it in every way.

Well well well.

So all those heavily funded genius computer scientists working on all those models — got thoroughly outclassed by a tiny side project from like 50 random guys from China.

And then the final nail in the coffin — open-source and free to use.

These tech giants tried so hard to keep the inner workings of all their fancy models from the public — so many trillions to made from being the first and only to achieve and control the holy grail of superintelligence, right?

Lol remember when OpenAI used to actually be open…

But now this one-year-old startup just came out of absolutely nowhere and crashed the entire pro-profit party.

Not just open-source but with MIT license — meaning you get to do basically whatever you want with it.

The entire algorithm is all out in the open for everybody and their dog to see. And test and run.

Many users have already been talking about how much more creative and clever the DeepSeek feels compared to ChatGPT.

With all of this it wasn’t surprising to see their official apps rocket to the top of the charts on both app stores.

It’s funny how all this comes just a few days after the so-called Stargate Project that’s costing as much as $500 billion dollars.

These huge US tech companies have been swimming in so much cash and have been getting lazy.

Their main focus seemed to be just pumping in as much cash as possible to fatten up their models — and then hoping that the models just keep improving from getting bigger and bigger.

GPT-3.5 — 175 billion paramters

GPT-4 — 1.8 trillion parameters

GPT-4 was largely better but was it anywhere close to TEN times as better? Of course not. It seemed even worse at some tasks.

Instead of trying to improve how they train the models and looking for ways to improve on the transformer LLM architecture.

They just kept doubling down on model size and raw computing power

Gobbling up chips from Nvidia and shooting their stock price to the moon ($600 billion wiped out in the last few days btw)

Trying to build massive NUCLEAR-powered data centers (really?)

Now DeepSeek just educated them on how much better a model with the same resources can be with superior training methods.

It’s a wake-up call that spread panic across the US stock market.

The disruption will hopefully send back more researchers back to the drawing board to focus on what matters, leading to more solid AI progress across the board.

Yes Apple Intelligence failed miserably — but this changes nothing

By Tari Ibaba / Last updated on January 26, 2025

Apple Intelligence suffered some serious setbacks recently and as expected it’s made a certain group of people very happy…

Their notification summarizing feature made some crazy mistakes that caused some serious misinformation and they had to pull it back.

It was certainly a reminder of the inherent unpredictability of AI models.

But there’s always a group of people that jump for joy whenever AI falters in some way and this time was no different.

Because they are trying to cope with the fact that AI is getting insane — so they’re desperate for any sign that it’s not as good as it seems to be.

Now just because one company made some mistakes in one feature in one AI product, that obviously means that the whole AI thing is “trash” after all, right?

Lol.

Just so desperate for any sort of confirmation bias to give themselves hope for the future.

Like for goodness sake, what more do you want to see before you realize that this AI thing is actually huge?

It is not a fad. It’s a big deal and it’s taking over. Slowly but surely — and no amount of copium can change this.

Did you not see the astonishing progress of Midjourney and other AI image generators?

Or didn’t you try it yourself? Or what do you have to say about that?

This wasn’t some cleverly carefully crafted corporate demo to hide all the flaws in a half-baked product.

This was (and is) something that anyone could check out for themselves for $10 — lol you can try DALL-E 3 right now in Bing Image Creator for free.

Lol and what if there’s hype?

First of all hype has nothing to do with AI in particular — there’s always been hype in business and marketing.

Sensationalizing what a product does to convince investors or users is nothing new.

And kust because there’s hype in AI doesn’t take away the real-world impacts that the models have had and will continue to have.

Sam Altman is always going to keep promising heaven and earth — that’s his job.

Lol is he supposed to be the one to point out that their models are not perfect and make mistakes?

And yes, so what if GPT had issues with simple tasks like counting r’s in a strawberry?

Did that suddenly diminish the insane value it created for hundreds of millions of people on the globe with ChatGPT and all those pretentious GPT wrapping services?

Look how ChatGPT grew so fast.

Can you imagine how many millions of people visited that site or opened that app in the past week. Past day.

Billions of chats. Tens of billions of messages.

But let it fail at some stupid gotcha question and suddenly that means ChatGPT was useless after all (right?). Suddenly it’s nothing more than “glorified autocomplete” (another nonsense copium term).

And btw it’s not like Apple is even leading the AI race or something. They don’t seem to be doing much of anything in that department.

If they used GPT for the summarizations this would probably never have happened.

But they were too arrogant to let Apple Intelligence be just another GPT wrapper — they created their own in-house model to work offline — and make their newer iPhones more justifiable.

The fact is AI will only continue to rapidly improve and encroach into more and more human jobs.

We can stick our heads in the sand and pretend like this isn’t [already] happening.

Or we can adapt for the meantime — and play our part in shaping a future where AI works not against but for us — and not a few.

This new IDE just destroyed VS Code and Copilot without even trying

By Tari Ibaba / Last updated on January 18, 2025

Wow I never thought the day I stop using VS Code would come so soon…

But the new Windsurf IDE blows VS Code out of the water — now I’ve cancelled my GitHub Copilot subscription and made it my main IDE.

And you know, when they said it was an “Agentic IDE” I was rolling my eyes at first because of all the previous hype with agents like AutoGPT.

But Windsurf shocked me.

These agentic tools are going to transform coding for sure — and not necessarily for the better — at least from the POV of software devs 😅

The agent actually makes useful changes to my code, and my prompt didn’t have to be so low-level. They call it Cascade and it saves so much time.

You see how it analyzes several areas in my code to make the changes — and this analysis can include many many files in your codebase.

And same for the changes — it’s doing the coding for you now.

Save tons of time by telling it to write your commit messages for you:

Just like Copilot it gives you code completions — that’s just expected at this point — and they’re free.

But it goes way beyond that with Supercomplete — an incredible feature that predicts not just your next line, but your next intent.

Probably inspired by a similar feature in the Cursor IDE.

It doesn’t just complete your code where the cursor is, it completes your high-level action. It “thinks” at a higher level of abstraction.

Like when you rename a variable it’ll automatically know you want to do the same for all the other references.

And not just for one variable but multiple logically related ones — which goes beyond the “rename variable” function that editors like VS Code have.

When you update a schema in your code, it’ll automatically update all the places that use it — and not just in the same file.

And how about binding to event handlers in a framework like React? Doing it for you after you create the variable?

You see how AI continues to handle more and more coding tasks with increasing levels of complexity and abstraction.

We got the low-level of code completions…

Then we got higher-level action completions with Cursor and this Windsurf Supercomplete stuff.

Now we’re starting to have full-blown agents to handle much more advanced programming tasks.

And these agents will only continue to get better.

How long until they completely take over the entire coding process?

And then the entire software development life cycle?

You know, some people say the hardest part of software development is getting total clarity from the user on what they want.

They say coding is easy but other parts of the software dev process like this initial requirements stage is hard and AI won’t be able to do it.

But this is mostly cope.

Telling an AI exactly what you want is not all that different from telling a human what you want. It’s mostly a matter of avoiding ambiguity using context or asking for more specificity — with like more detailed prompts.

AI agents are rapidly improving and will be able to autonomously resolve this lack of clarity with multi-step prompting.

Now we’re seeing what tools like Windsurf and Cursor Composer can do.

So, how to get started with Windsurf?

Windsurf comes from the same people that made that free Codeium extension for VS Code, so you’ll get it at codeium.com

And there’s a pretty good free version, but it won’t give you all the unique features that really make this IDE stand out.

You only get a limited free trial at the agentic Cascade feature — you’ll have to upgrade to at least Pro to really make the most of it.

Before the Pro price was $10 per month for unlimited Cascade use, but developers used it so much that they had to set limits with a higher price and introduce a pay-as-you-go system.

Eventually coding is going to change forever as we know it. And software developers are only going to have to adapt.

AI is destroying the entire app industry

By Tari Ibaba / Last updated on January 11, 2025

The writing is on the wall… Microsoft’s CEO isn’t even hiding it.

Autonomous AI agents are going to destroy the app industry.

Many apps will become practically useless — agents will do everything they can in a far more unique and personalized way.

Lol, stfu and stop this rubbish Tari. What is wrong with you? It’s just stupid AI hype for goodness sake, smh.

Oh really, you sure about that?

Because it’s already happening right now.

The basic generic-info apps/websites are already being destroyed.

The ones that do nothing more than display generic information — like most of those question-answering websites.

In the past how did you get answers to general questions about life and the world?

Typically you searched on Google. Then you clicked on one of the blue links to a website that gave you the information.

I used to write articles for exactly this — answering coding questions like “javascript convert array to map”.

But now how do most people get answers for general knowledge like this?

ChatGPT. Gemini. Gemini in Google Search… conversational AI.

It was painful for me to admit this once 😅 — but the fact is there is no contest here whatsoever between these websites and the AIs.

❌ Before:

A generic soulless bunch of pre-define text littered with ads and pop-ups. So much painful bloat to meet a word count and target certain keywords.

✅ Now:

The other is a personalized AI that gives you the exact answer to your unique exact question — and let’s you follow up with even more precise and context-specific questions.

This same thing is going to happen to mobile and web apps.

Think of an app like Duolingo.

❌ Before:

A predefined interface with a predefined flow and a predefined set of actions.

You can only learn a language the way the devs think is best with the built-in actions they let you take with the specific UI components they decide on the specific screens they created to put them.

✅ After:

An ultra-personalized interface created by an AI agent connected to several APIs and tools.

Look you could just say “teach me a language” to your agent.

It will automatically remember that convo you guys had about those languages you’ve always wanted to learn.

It will spin up a screen (from thin air) with image buttons (from thin air) to let you choose between all those languages. Zero code.

When you choose French it’ll remember you’re already at B1 level and craft a learning plan just for you.

No more Duolingo stories — now freshly generated stories in a topic you enjoy with the precise vocab level you need to improve.

Asking you questions on those stories to let you respond with free text or voice or multi-choice between images.

It could create an interactive video chat with an AI-generated coach to practice your speaking and listening.

With virtual reality and AI video creation you could even simulate immersing yourself in France and speaking with the locals — and now you’d be getting feedback on whatever you say.

It will automatically set phone and email reminders to help you stick with your plan — and adjust this plan according to your changing schedule.

Now tell me, how could Duolingo or Babbel or whatever possibly compete against this.

Even if apps don’t die, they will become far easier to make than they are right now.

The economic value in app development will drop drastically to almost nothing. Creating an app will become as easy as creating a Medium article.

We’re already seeing early glimpses of agentic capabilities with tools like Windsurf and Cursor Composer — the tide is moving in only one direction.

It will no longer be about what cool features your app has — like when people compare Notion to Apple Notes to Google Keep to Evernote to whatever.

It will be about the data.

What unique data does your app provide that no one else has?

Apps like Tinder and Spotify are not going to die so easily.

Anyone will be able to create a Tinder clone in 3 minutes with much cooler features — but it will be useless.

Only Tinder will have data of all those women and men. Only Spotify and the rest will have the license for all those songs.

The same thing is already happening with YouTube — the value of being able to create and edit a video is dying. We got Invideo, we got ElevenLabs, now we’ve got Veo 2 and there’s no going back.

All the value is moving to the unique information or experience the video can provide.

For your app, the value will also be in what they can do in the physical world.

Uber and Lyft are not going anywhere no matter how powerful AI agents get. Their main value is the ride-sharing, not fancy app features.

It’s happening folks. Major value transfer is on its way and we’re only going to have to adapt.

Software developers don’t need Stack Overflow anymore

By Tari Ibaba / Last updated on January 7, 2025

Developers don’t need to waste much time search Stack Overflow anymore. They now have much faster ways to go about this.

Let’s say you have a problem in your codebase you don’t know how to solve.

❌ Before:

You try to search on Google for the solution.

You have to shorten your problem into a query that’s short enough and generic enough to get real results.

You stumble upon on a similar Stack Overflow question and click.

Hopefully you’re lucky and after some scrolling you find an answer that can help you — or you don’t.

Then you still have to apply the answer to your specific case and see if it works.

So you see, all this just wastes your time.

There are multiple AI-driven approaches to do this much faster than ever.

✅ Now:

Going from typical to most powerful…

Typical: Use an up-to-date chatbot

To get a personalized answer to your problem.

Take full advantage of ChatGPT in search mode:

I got a far more detailed, step-by-step and personalized answer.

And this was one of the things that made ChatGPT so popular, right? Natural answers to natural questions.

Now even more powerful with the search integration.

Use an IDE-integrated chatbot

There are so many extensions in the VS Code marketplace to give you easy access to the conversational AI directly from your IDE.

Now for the most powerful way:

Use an IDE-integrated agent

With the Windsurf Cascade agent, I can simply tell the agent what changes I want and it does it directly.

No need to even type.

All these 3 are much better than searching StackOverflow in 99% of cases.

The Honey scam only confirms what we already knew about Paypal

By Tari Ibaba / Last updated on December 31, 2024

If you’re still using Paypal you will only have yourself to blame in the future.

We’ve seen this video blow up and for very good reason — one of the biggest software scams ever.

Amazing like ratio — really hit home for millions.

But it only confirms what we already knew about Paypal.

All the terrible reviews they have on Trustpilot aren’t by accident.

They are a very shady company, and with Honey now we’re seeing even more of this shadiness.

“Shady” is probably being too kind here.

You should definitely watch the video if you haven’t already.

I used Honey a little bit once, but who knew they’ve literally been scamming creators and customers for years?

The sad thing is are they even going to face any real consequences?

It’s good to see so many recent 1-star reviews and now they’ve lost like 3 million users on Chrome.

But imagine how many millions (billions?) they’ve stolen from creators?

20 million users is no joke — that’s how much they had before this whole issue started. And lol 17 million is still no joke.

And this is the sort of service you use ALL the time. And like we saw in the video even if you don’t use they still try very hard to make you interact with it so they can steal the affiliate commission.

Tens of billions of dollars — it’s not a stretch to say they’ve stolen up to that, more than that.

Lawsuit storm incoming, right? Let’s see, but you know that’s not going to stop Paypal and all those powerful people in charge.

Lol I even left my own 1-star review on Honey’s Chrome extension page to bring down the ratings…

Then I remembered I used my real name for the review and I was still using Paypal 😅

Quickly cancelled all Paypal subs and delete my card… phew, that was close.

Really though you should delete Paypal, even if you’re not planning to publicly say anything negative about them.

Not worth it.

At the very least only use them as the payment processor that they are. Don’t store funds in Paypal.

Don’t wait until they freeze your funds and ruin your life before you realize they are NOT a bank.

They can do whatever they want — that’s in Terms of course (lol).

They will close your 20-year old account on whim.

Freeze your funds over some random nonsense.

And LOL if you think there’s any real guarantee of getting it back after 180 days.

And you might as well accept your fate when you get scammed. You’re not getting that money back. Or maybe you will when you’re the scammer doing a chargeback.

And who can forget that time when they updated their policy to start fining people $2,500 for “misinformation”. Mistakenly of course (lol).

They would be the ones to decide what is true and false for the rest of us. The sole arbiters of truth.

Yeah you can’t trust these guys.

They do still have a strong hold on the market even with their rising fees so they could be hard to avoid.

But don’t use them as a bank. Don’t store or save funds there. Transfer them to a real bank.

The honey scam may have shocked a lot of us, but not that unexpected when you look at their parent company.

ChatGPT stands zero chance on WhatsApp unless they change this quickly

By Tari Ibaba / Last updated on January 3, 2025

ChatGPT is now on WhatsApp, but right now it’s too obvious it stands no chance against Meta AI.

For starters, they’ve got a cool branded number, but that can never compete with how easy Meta AI is to access.

And you still have to create a new contact to actually add the number.

May not seem like a lot of work but we humans can be pretty lazy and a tiny bit of friction like this is all takes to stop a lot of us from ever giving WhatsApp ChatGPT a shot.

I know it took much longer to try it out compared to Meta AI that was just there. One tap of a button.

When you clear your Meta AI chat it’s so easy to start a new one with the same button — but with ChatGPT you have manually search for it in your contact list like for any other contact.

They just can’t compete with this native integration. It’s also a major advantage Apple and Google have over every other AI-obsessed company. No AI will ever be able to integrate deeply with iOS and Apple ecosystem as much as Siri + Apple Intelligence. Even they’re better.

Even within chats they also couldn’t match up in usability.

Read receipts — seems small but that feedback can go a long way. It’s a big reason why me and lot of people keep them turned on.

ChatGPT doesn’t have them like Meta AI.

Meta AI even has a loading indicator when processing your messages — probably a native feature only accessible in that chat.

And when you finally get the response from Meta they will be much more up-to-date than what ChatGPT gives you.

Meta AI can give answers straight from the web.

Right now it’s powered by Llama 3.2, and they will only keep upgrading the model and built-in cutoff point.

Meanwhile ChatGPT on WhatsApp actually uses the outdated GPT-4 model — which means it’s knowledge cut off is still in April 2023.

And it doesn’t even have access to the web to compensate this.

And they only GPT-4 so they’ll be no image generation like in regular ChatGPT.

Meta AI can even join group chats and give useful info when you tag it.

Native first-party features like this will make really hard for OpenAI to overthrow Meta AI in home territory.

But they still have a real chance in this.

They do have the calling feature which Meta doesn’t — though I doubt most people will use it.

But like if they upgrade the model on WhatsApp to GPT-4o, they’ll be able to work with images and audio — a great advantage of Meta AI that doesn’t even let you upload anything.

They’re definitely seeing the advantage of being so close to users directly in their favorite chat app where they have all their friends and family.

Especially when there are over 2.7 billion of those users.