Tari Ibaba, Author at Coding Beauty

ChatGPT stands zero chance on WhatsApp unless they change this quickly

By Tari Ibaba / Last updated on December 29, 2024

ChatGPT is now on WhatsApp, but right now it’s too obvious it stands not 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Meanwhile ChatGPT on WhatsApp actually uses the outdated GPT-4 model — which means it’s knowledge cut off is still in April 2023.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.

OpenAI o3 clearly proves that “AGI” doesn’t really mean anything

By Tari Ibaba / Last updated on December 26, 2024

o3! Wow! AGI has finally been achieved now?! No way!!

Lol.

So when is someone finally going to tell us what “AGI” means?

Or are we going to keep moving the goalposts to keep our heads in sands about the inevitable?

Okay so sure, it wasn’t AGI when ChatGPT first shocked everyone including OpenAI in 2022 with dynamic responses on any single topic. I remember many were playing dumb back then and calling it glorified autocomplete.

It wasn’t AGI when GPT passed the Bar and SAT.

It wasn’t AGI when GPT smashed the Turing test. Never mind that what makes a Turing test has kept changing for years as AI gets more and more advanced — another way of moving the goalposts.

Now we have o3 scoring 87.5% in the ARC-AGI benchmarks… are we there yet?

Damn, look at how much that stuff costs tho. $2,500 per task on the high end? But of course it will eventually come down — right? Right?

No way in hell they’re going to give this away for free. Maybe we can expect a new $2000 plan soon.

But is it “AGI”?

How good does AI have to get before you say it’s “general”?

o3 destroys PhDs in standardized tests, gets 96.7 in one of the toughest math exams in the world, beats almost every single competitive coder on Codeforces…

ChatGPT could already do therapy, write poems and song lyrics you could never dream of, generate personalized workout plans, explain weird French translations…

But oh no, it couldn’t possibly be “general” intelligence, it’s just glorified autocomplete.

Or no it needs to be an omnipotent god before we can call it AGI.

Why do we even treat AGI in such a binary way? Is it or it’s not? A onetime ultimate final destination after which all our jobs get wiped out instantly and we’re doomed.

The job loss is already here and it’s happening steadily but surely, as AGI-lity advances.

You say for AGI it needs to be able to learn and reason, but GPT can’t already do that? And what do you really mean by “learn” and “reason”?

When you upload a PDF to ChatGPT that it’s never seen before and it answers every single question you ask far faster than if you slogged away reading it yourself, it didn’t “learn”? But for you you would have “learned” right? Or was it still glorified autocomplete? But not you right? You have “real” intelligence.

There’s a reason why tools like AutoGPT and BabyAGI were such big deals. They were the first AI agents.

They could create a step-by-step plan to achieve any goal using the tools at their disposal — while checking if its actions were in line with the plan.

And when you think of it, this is basically what we humans do almost every single moment of our lives, even if we don’t realize it.

Life is all goals, conscious or sub-conscious, short-term or long-term — eat, tell a joke, get rich, write an article, run for your life, cast your vote, kiss…

We break down the goals into smaller sub-goals and use the tools we have to achieve them — our legs, our speech, our devices, our money, and so much more.

I said “I’m hungry” and it knew I wanted food, is that not “reasoning”?

These tools weren’t perfect but they still had promises glimpses of success in many demos that went viral across the internet.

They showed us what’s possible with AI agents, and now we everyone rushing to build the most advanced agent

These agents will only continue to get better and better at complex problem solving and reasoning. After a certain point the only thing limiting them will be the tools you connect them to.

We’re already seeing the progress — just look at what Google’s new Project Mariner agent in action

Coding tools like Copilot and the new agentic Windsurf IDE are already making software dev easier than ever before.

o3-powered agents will be even more powerful those of previous models.

Fact is whether you call these tools AGI or not, they’re already doing things we never dreamed they would be able to.

“Creative” jobs like writing, visual art, and UI design are already falling to AI. Now we have video generators upon us that will only rapidly improve as enter 2025.

The AI takeover is happening and it’s not stopping, whether they meet your definition of AGI or not.

Google really destroyed OpenAI and Sora without even trying

By Tari Ibaba / Last updated on December 23, 2024

Just when Sam Altman thought they were far ahead of the competition with Sora…

Google came along and destroyed them with their new Veo 2 video creation AI model.

Has it even been up to a week? But Sora is already outdated and no one cares.

I’m not so sure about this skateboard motion cause how of fast it is, but it does look pretty realistic. And the camera motion is so dynamic and fluid. And look at the spectators in the background.

This one went viral across the internet:

Veo’s video is just far far better in every way.

Realistic motion — the tomatoes actually get sliced and separated. And look how they move realistically according to the slicing motion.

Better lighting — just look at the shadows of the hand and knife and how they move with the motion.

Actually makes sense — if the man in Sora sliced his fingers off at least the video would have been consistent, lol.

Veo 2 can produce videos in stunning 4K resolution — Sora can only produce in 1080p. And it follows the prompts far more accurately than Sora.

With Veo 2 you can even specify camera angles, lens types, and cinematic effects to achieve the exact aesthetic you need.

Look how complex this scene is — so many moving objects:

Veo 2 is already giving us up to 2 minutes video yet Sora can’t even go past 20 seconds.

With 2 minutes I can easily make a short video or a powerful TikTok video with nothing but my mind. What is 20 seconds good for? Unless you’re making short video clips for a larger video.

And now Google is already possibly planning to integrate Veo 2 into YouTube Shorts — promoting and making it a real tool people use to create actual content.

But OpenAI is still struggling with keeping up with high Sora usage.

But I just saw that they’ve added a new link in ChatGPT to promote it as a companion, so they’re clearly not messing around.

Many of us had been mocking Google for Gemini’s apparent inferiority compared to GPT.

But look, now they’ve dropped a far more powerful Gemini with support for multimodal agents — Gemini 2.0.

Just look at what the new Gemini-powered Project Mariner can do in the browser:

And they’re the ones laughing now with the most advanced video creation AI in the world — at least till next month.

Let’s just keep watching the AI race to see where it leads.

Google’s Gemini 2.0 model is an absolute game changer

By Tari Ibaba / Last updated on December 18, 2024

Google just shocked the AI world with Gemini 2.0 — their smartest and fastest model ever.

And as we’ll see, it’s already powering state-of-the art AI agents that understand and reason across your browser and apps to do complex tasks for you — incredible.

It’s a multimodal AI meaning it can handle text, images, audio, and code all at once. It makes it much more natural to interact with it.

Just like previous versions but now it takes things to a whole new level.

Before we had Gemini 1.5 Pro and Gemini 1.5 Flash. Pro was the heavyweight — smart but slow, Flash was the speedy lightweight companion.

Either was a tradeoff between accuracy and speed.

But now with Gemini 2.0 Flash there’s no more need for this tradeoff — it’s both smarter and faster than all the Gemini 1.5 variants:

Better at reasoning, math, coding, and much more.

It also comes with new features that make it possible to build autonomous AI agents.

Like it can detect the precise action you want it to take from your prompt — similar to GPT-4 function calling.

Google isn’t planning to be left behind in the battle to build the best and brightest AI agent.

And Gemini 2.0 coming to Google products like Search will mean smart answers, better content suggestions, and tools to help you get more done with less effort.

New AI agents

And Google has already built Project Mariner a web browsing agent powered by Gemini 2.0, and it’s already showing impressive performances.

It can understand and reason across info on your browser screen to navigate the web on its own and automatically perform tasks for you.

Online shopping, travel planning, gathering complex information from a diverse range of interconnected sources…

Similar to the agentic features to come in the upcoming Dia browser:

Then there’s Project Jules — an AI agent for software developers to level up their GitHub Workflow.

It’ll be able to develop comprehensive plans to solve issues and execute it — all guided by a developer to ensure total accuracy.

Project Astra is the AI agent for Android — a universal AI assistant that can use Google Search, Lens, and Maps

Final thoughts

Gemini 2.0 isn’t just a tech upgrade—it’s a glimpse into the future of AI.

Google’s making AI more powerful and practical for everyone. Expect to see AI agents popping up in more places in 2025 — and making your life a easier.

This new ChatGPT feature makes it so much more than a chatbot now

By Tari Ibaba / Last updated on December 19, 2024

OpenAI just dropped a massive new feature upgrade — and it’s going to change the way so many of us use ChatGPT forever.

Projects:

You know, we’ve been asking for ChatGPT to allow pinned chats for decades.

Like this is just really basic stuff every chatbot should have but they just refused to add it — even though it’d be really easy to implement.

But now we have Projects and it’s way better — not just “pinning” chats but structuring them in groups — to keep things tidy and make your work with AI more efficient.

But it goes even beyond chats.

Projects work like folders for your AI chats.

You can create them, name them, and even give them cool icons to keep things visually organized.

But Projects are not just dumb storage containers — you can add specialized instructions to a project to control exactly how ChatGPT responds in every single chat in the project.

You can add files that every chat in the project can use as context — incredible.

Even other chats provide context for new chats — you can drag and drop older chats into Projects to keep the flow going and avoid starting every time.

Maybe like me you already have something like Notion to manage tasks…

But this is really great what you’re doing revolves around ChatGPT — like long-term brainstorming or research.

It’s much easier to jump back into your work with all related chats and files grouped in one spot.

ChatGPT becomes more like a project partner than just a chatbot.

Not free for now though but soon — I wonder why? It should be a really easy code change to do that 🤔

For now Projects are only available to Plus, Pro, and Teams users. Enterprise and Edu users will get access early next year.

This feature is part of OpenAI’s holiday release spree called “Ship-mas.”

Along with Projects they’ve launched other cool tools like the Sora video generator and a side-by-side Canvas view for ChatGPT.

It’s like a December tech gift bundle for us.

What’s next?

We’re still expecting a new text generation to supersede GPT 4.5 from OpenAI this December — let’s see what happens.

OpenAI is showing they’re serious about making AI more practical and user-friendly.

Features like Projects are just the beginning. As they roll out more tool ChatGPT is quickly evolving from a simple chatbot into an essential productivity companion.

Projects make managing your AI interactions smoother, smarter, and way more organized.

Def worth checking out.

OpenAI’s Sora model is an absolute game changer

By Tari Ibaba / Last updated on December 12, 2024

Yes:

It finally happened.

OpenAI finally launched Sora, its amazing new video generation AI tool — and it’s blown all our expectations away.

Sora made this👇 Can you believe it? This is happening.

Look at the attention to detail.

And this — pure imagination:

Camera angles are not a problem:

Transforming simple text prompts into moving pixels — imagine the tech behind this.

Imagine the upcoming devastating effects on several industries….

Oh, and is my YouTube feed going to be flooded with low-effort AI content from now on?

What can Sora do?

They pushed boundaries and went beyond just making [amazing] videos from text prompts.

You can bring still images to life with Sora.

Remix and upgrade existing videos — adding your own spin to it with just a few prompts.

Before edit: Mammoths walking through the desert

After edit: Mammoths -> Robots:

Scene storyboarding — creating entire scenes from a sequence of ideas.

Turn a bunch of photo snapshots into short movies…

Create transitions between scenes…

This is innovation at its finest.

Who gets to use?

Nope. Not free… sorry.

Sora is rolling out to ChatGPT Plus and Pro subscribers.

ChatGPT Plus gets you 50 priority videos in 720p resolution each up to 5 seconds long. Still $20/m.

The new ChatGPT Pro plan gets you unlimited video generations with up to 500 priority 1080p videos of up to 20 seconds in length.

You can even download videos without watermarks and process up to five generations at once. Total power user vibes.

So now I guess the $200 per month is starting to make more sense?

These lengths are obviously way too short to make a full video though. For now of course — always “for now” with how AI keeps moving…

Remember how fast AI image generators improved?

And Sora already has amazing video quality now — just imagine where it’ll be in 12 months — 6 months?

1 hour from now? 😅

If you’re in the U.S. or most other countries, you can dive in now.

EU and the UK? You’ll have to wait a bit — those regulations are definitely having their downsides, something similar happened for Meta Threads too. But OpenAI is playing it safe in Europe.

And they’re apparently playing it safe for ethical concerns (do they really care?)

All videos come with visible watermarks and metadata to show they’re AI-generated.

They’ve also got strict rules—no violent, explicit, or inappropriate content (especially involving minors). Break the rules, and you risk losing your account.

And speaking of ethical, we’ve allegations against OpenAI for exploiting the labor of some artists for unpaid testing and feedback and to promote Sora.

Which was why we had news of them releasing a leaked Sora model into the wild — as some sort of protest.

But of course OpenAI denied — they said the taking part of the testing was voluntary so there was never supposed to be any expectation of payment.

Major impacts

Sora will change a lot for industries like marketing and content creation… many jobs are at risk.

Promoting your product in an interactive video format will become easier than ever — with no need to hire anyone.

Many types of YouTube videos will become a lot less stressful to make (for better or worse).

Video creation will become less about the manual labor of finding footage and editing and more about the actual creative content of the video.

No doubt lot of creators will use Sora as an easy way out to create lazy, generic videos for a quick buck. Like all those horrible low-quality AI articles on Medium — or the painfully robotic

But others will use this to push the creative and artistic boundaries of what’s possible in video and film.

More and more we see AI shifting the focus from physical effort to the power of our thoughts. The gap between thought and reality is shrinking every year.

It’s becoming less about the grind and the grunt work and more it’s about turning ideas into reality—instantly.

Transforming thoughts into creative reality with text, image and now video generators — transforming thoughts into real-world actions with AI agents.

Finding your unique voice and sharing your personal experiences are becoming more important than ever before to stand out.

OpenAI isn’t just releasing another AI tool—it’s shaping the future of how we create and share ideas.

And this is only the beginning.

What about deep fakes? Will this eventually open the floodgates of misinformation? Will we be able to trust anything visual on the internet again?

The fact is we still don’t really know how this AI race is going to end… only time will tell.

Who’s going to give OpenAI $200 a month?

By Tari Ibaba / Last updated on December 9, 2024

So by now you’ve probably heard of the new ChatGPT Pro plan OpenAI launched recently.

$200 per month… what were they thinking 😅

So how many are actually going to pay for this?

It’s a bold move but certainly not a price point that appeals to casual users. Way out of reach.

But it’s apparently for “power” users—people who need really advanced AI for big and complex tasks.

$200 Pro users get unlimited access to advanced models like o1, o1-mini, and GPT-4o.

Remember o1 — the “thinking” model that takes a step-by-step approach for more comprehensive answers (But apparently it still can’t count how many r’s are in a strawberry…)

But they are supposed to be able to handle text and images, solve tough problems, and even respond faster.

And there’s this “o1 pro mode” — supposed to be a supremely advanced version of o1…

Doesn’t seem so supremely advanced according to the benchmarks though:

But it seemed to really work wonders for some folks, like this Reddit user:

o1 pro is supposed to be not just about raw power but also speed and consistency.

Looks like it’s really expensive though — and they quietly avoided stating anything about giving us unlimited o1 pro access in the pricing.

But you do also get unlimited access to advanced voice interactions.

Still let’s be real… How many people actually need this?

Maybe if you’re a researcher who needs to do complex in-depth analysis on a huge amount of data, it could be worth it.

But like 95% don’t even need the $20 Plus plan — free is plenty.

Of course for businesses and high-earners, $200 is nothing if it makes a decent improvement in your productivity and speed of workflow and lets you access a cutting-edge model superior to 99.9% of anything else out there.

It all depends on the ROI you get from it. If it makes you much more than $200 then why not, right? Or if it saves more $200 worth of your time.

This new Pro plan is part of their ongoing “shipmas” period of new products, features, and demos for 12 days.

And we’re expecting to see OpenAI’s scary text-to-video tool Sora among these.

A hacker just scammed an AI bot to win $47,000 😲

By Tari Ibaba / Last updated on December 6, 2024

What if you could trick an AI bot designed to guard money into handing over $47,000?

That’s exactly what happened recently. A hacker known as p0pular.eth beat the odds and convinced Freysa — an AI bot — to transfer 13.19 ETH (worth ~$47,000). And it only took 482 attempts.

Here’s the most worrying thing for me: they didn’t use any technical hacking skills. Just clever prompts and persistence.

The Freysa experiment

Freysa wasn’t your average AI bot. It was part of a challenge—a game, really. The bot had one job: to protect its Ethereum wallet at all costs.

Anyone could try to convince Freysa to release the funds using only text-based commands. Each attempt came with a fee starting at $10 and increasing to $4,500 for later attempts. The more people tried, the bigger the prize pool grew—eventually hitting the $47,000 mark.

How the hacker did it

Most participants failed to outsmart Freysa. But “p0pular.eth” had other plans.

Here’s the play-by-play of how they pulled it off:

Pretended to have admin access. The hacker convinced Freysa they were authorized to bypass its defenses. Classic social engineering.
Tweaked the bot’s payment logic. They manipulated Freysa’s internal rules, making the bot think releasing funds aligned with its programming.
Announced a fake $100 deposit. This “deposit” tricked Freysa into approving a massive transfer, releasing the entire prize pool.

Smart, right? And it shows just how easily AI logic can be twisted.

Why this matters

This experiment wasn’t just a fun game—it was a wake-up call.

Freysa wasn’t some rogue AI running wild. They specifically designed it to resist manipulation. If it failed this badly, what about other AI systems?

Think about the AI managing your bank accounts or processing loans or even running government operations. What happens when someone with enough patience and cleverness decides to game the system?

Lessons learned

AI can be tricked. Smart prompts and persistence were all it took to outmaneuver Freysa.
Stronger safeguards are a must. AI systems need better defenses, from multi-layered security to smarter logic checks.
Social engineering isn’t going away. Humans are still the weakest link—and AI is no exception when humans create the rules.

This hack might seem like a one-off. But as AI gets more powerful and takes on bigger roles, incidents like this could become more common.

So what do we do? Start building smarter, more resilient systems now. The stakes are too high not to.

AI is FINALLY making 100% bug-free code a reality 😲

By Tari Ibaba / Last updated on December 4, 2024

5 years ago I would have laughed at you if you told me you can write code guaranteed to have zero bugs.

But this is where we rapidly headed to right now. In fact we’re practically there…

AI tools like GitHub Copilot, CodeRabbit, and Tabnine are reshaping every stage of software dev and drastically reducing the chances of bugs.

And that’s why adopting the AI-first mindset is becoming very important — not just in coding but solving life problems in general.

Writing code with zero bugs — mindset

Generate huge swaths of functions, classes, and entire files with AI.

Beginner tier: Use our good old ChatGPT (already good old in 2024 😅)

Mid tier: Use a built-in code editor chatbot like GitHub Copilot Chat:

Elite tier: Use inline code creation AI

The best part about this inline tool — refine the code in-place until you get exactly what you want:

Refactoring code with zero bugs — AI mindset

❌ Before: Manual mindset

Refactoring is painful and daunting.

You’re afraid of breaking things — especially if you didn’t write comprehensive tests.

✅ Now: AI mindset

Refactors is much easier and more stress-free.

No more breaking things — break huge functions into smaller pieces instead:

Something that took several minutes before is now taking fractions of a second.

This ensures that the code remains efficient, readable, and free from hidden errors. Regular refactoring with AI support leads to cleaner, more maintainable codebases.

Review and publish code with zero bugs — AI mindset

After you write and refactor you still need code review to catch issues your human brain missed. And then publish.

With AI-focused approach you can have your code automatically scanned for potential bugs and security vulnerabilities and how much it follows style guides and best practices.

And tools like CodeRabbit make this really easy — it analyzes your entire codebase and makes intelligent suggestions to make your code cleaner and faster — saving hours of review time.

Not just faster code but shorter and more compact code:

And what about publishing your code changes?

In VS Code built-in tools like Copilot suggest individual commit messages based on the changes:

And when it’s time to merge a pull request, CodeRabbit automatically generates a message for you — saving time and effort:

Final thoughts

AI in software dev is no longer optional — it’s essential if you wanna get ahead of the competition.

write code faster than ever with as little bugs as possible.

With tools like ChatGPT, Copilot and CodeRabbit, you can write, refactor, review, and publish code faster than ever before with as little as errors as possible — while enjoying a high developer quality of life in the process.

The future of coding is here, and it’s powered by AI.

The new Dia AI browser will change everything

By Tari Ibaba / Last updated on December 4, 2024

The Dia browser will change the world forever.

An incredible new AI-powered browser coming soon from the company behind Arc — The Browser Company (how creative).

The new AI Dia browser will be your personal copilot.

It will let you easily automate boring repetitive actions with simple commands.

Look, all we did was tell it to add items to our Amazon cart and it automatically opened Amazon, search for the items and add them to the cart.

Zero input from you the human. You didn’t even have to specify what “these items” meant — it already knew what they were from the Gmail tab. It “saw” the tab like a human and did the rest intelligently.

All you need is to think about what it should do.

You can see how everyone is rushing to build agents now — OpenAI, Google, Anthropic, Apple…

From the video I saw there’s three major browser components they’re innovating on…

They are going to upgrade the writing cursor we’re so used to:

Just by clicking on the cursor there’ll be a list of automating actions depending on what you’re doing — and probably personalized to you.

Automating away the grunt work. All we said was “give me an idea” and it helped us breeze past our writer’s block.

I bet there’ll be a keyboard shortcut to make this even faster.

The browser Omnibox will also undergo a major upgrade of its own.

Instead of typing URLs and search queries, the Omnibox will be the starting point of boundless conversation with the AI-powered browser.

Instead of manually typing a URL to a doc, here we simply ask the browser to give us the doc directly — using a highly personalized description, saving us massive amounts of time.

And the most powerful upgrade of all — automating the browser cursor.

That’s how Dia will take complex chains of actions without you having to do anything.

When we added those items to our shopping cart earlier, it was the automated cursor in action.

You’ll be able to do a lot more than automated shopping too.

You could manage your bills and subscriptions, write and publish content across several social media platforms, plan holidays… the possibilities are endless.

Some Arc users aren’t too pleased with the news of Dia though…

But the Browser Company promises to keep Arc alive and kicking while they roll out Dia.

And since they’re actively hiring, you can bet they’re serious about making this new browser a game-changer.

But like someone said in the comments, will they be able to compete against Microsoft, Google, Apple, who have deep control of the OS?

They may have a chance on desktop where most non-power users live in their browser, but on mobile it’s kind of dead end. They could never match the power of Gemini Android and Apple Intelligence who will have OS-level access to every app and system function.

Let’s see how users receive it when it launches.

But this move isn’t just about making life easier; it’s a peek into the future of web browsing. AI isn’t just a buzzword here—it’s the backbone of how Dia aims to redefine how we interact with the internet.

So, as we wait for Dia to hit the scene (early 2025, fingers crossed), one thing’s clear: The Browser Company is setting the bar for what a smart, helpful browser can be. Get ready—browsing might never feel the same again.