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  • DALL-E successor is here and its insane.

DALL-E successor is here and its insane.

And Google dropped their most intelligent AI model yet. It can code a complete game in just 1 prompt. AGI achieved? Dive in to find out.

Did you know that 70% of the population uses Internet?

In numbers it's 5.6B people. And they're about to get access to AI tools.

ChatGPT hit 400M+ users in 2 years.

You're not "late" to AI.

You're just early to what everyone else is about to wake up to.

In today’s post:

  • OpenAI: GPT-4o native image generator

  • Google: Gemini 2.5 AI model

  • Microsoft: Copilot can now do deep research

  • DeepSeek: Released new model “V3-0324“

  • Trending AI tools + More AI news + Giveaway

What’s Trending Today

OpenAI

OpenAI Just Dropped a New Visual Beast: 4o image generation model

Alright, OpenAI’s done it again. They dropped a new model GPT-4o image generation and it’s not just smart, it’s visual. This thing doesn’t just talk. It draws…

Here’s what it can do:

  • It’s built to generate images right inside ChatGPT. Just describe what you want characters, charts, logos, even infographics and it’ll make it.

  • It nails photorealism, but also gets the goofy stuff right. Like a snail buying a sports car? Yep. It can do that too.

  • Text inside images? No more gibberish. It gets letters, menus, street signs all clean and readable.

  • You can start with an image, keep chatting, and tweak it as you go. It's like art direction through conversation.

  • And the best part: this isn’t a plugin. It’s part of the model itself. Native. Instant. Ready.

Of course, it’s got some limits. It won’t do anything sketchy or violate safety rules. Plus, public figures can opt out of being AI-generated. And yes, it embeds metadata so AI images are traceable.

Here’s what I think:

This update doesn’t just make ChatGPT smarter it makes it see. It’s not another “AI tool.” It’s more like a visual studio with a brain. One where ideas go from “hmm” to “here it is” in seconds.

Test it out, its live.

Google

Meet Gemini 2.5

Remember when AI was just trying to autocomplete your texts or play chess decently? Well, those days are long gone. Google's new brainchild, Gemini 2.5, is here and it’s thinking before it speaks.

Here’s everything you need to know:

  • Gemini 2.5 isn’t just a language model. It’s a thinking model. That means it reasons before giving you answers kind of like if your calculator suddenly developed critical thinking.

  • This version Gemini 2.5 Pro Experimental just leaped to the top of the leaderboard (called LMArena) where humans decide which AI answers they like best. Spoiler: They like Gemini 2.5 a lot.

  • It’s acing coding, math, and science tests without needing tricks or hacks like majority voting. It’s doing it clean.

  • On a brutal exam called Humanity’s Last Exam (yes, that’s the real name), it scored better than any other model not using external tools.

  • It can build stuff, too. Like turning one-line prompts into actual working games. That’s next-level for coders.

  • And the context window? It can process huge amounts of info up to a million tokens right now, double that soon.

Here’s what I think:

Gemini 2.5 feels like the model that quietly tells everyone else at the party, “Don’t worry, I’ve got this,” and then actually does. It’s more than just smart it’s structured, deliberate, and kind of scary-good. What’s your take on Gemini 2.5?

Microsoft

Microsoft’s AI just got a research brain

Microsoft’s Copilot isn’t just a chatbot anymore. It’s now rolling out tools that can actually do the digging for you like having a mini research team in your browser.

  • The new tools are called Researcher and Analyst and both come packed with brainy AI that can think through problems, not just summarize stuff.

  • Researcher is the strategy guy. It pulls in data from all over including tools like Salesforce and Confluence and helps you build stuff like go-to-market plans or client reports.

  • Analyst is more of the data nerd. It runs numbers using Python, breaks down tough questions step by step, and shows you how it got the answers.

  • Both are built with OpenAI’s tech under the hood, but what makes them different is their ability to look beyond just public info they tap into your company’s internal data too.

  • Still, they’re not perfect. Sometimes they mess up, misquote, or pull from sketchy sources. Microsoft’s betting that the combo of reasoning models and data access will cut down on those slip-ups.

  • If you’re in Microsoft’s new Frontier program, you’ll be the first to try these out in April. That’s where all the Copilot experiments will show up first.

Here’s what I think:

This is AI going from assistant to actual teammate. We’re heading into a world where “Do research on this” doesn’t mean reading five articles it means getting a draft report before your coffee’s cold.

DeepSeek

China’s DeepSeek is coming for the AI crown

DeepSeek docs

While most of the buzz in AI circles stays focused on the U.S., a Chinese startup called DeepSeek is quietly picking up speed and it’s starting to look like real competition.

  • DeepSeek just dropped a major upgrade to its language model, V3-0324, and it’s now live on Hugging Face (aka the GitHub of AI models).

  • This new version has leveled up on reasoning and coding the two areas that matter most when it comes to building smarter, more capable AI.

  • It’s already outperforming the previous model in key benchmark tests, making a solid case that DeepSeek isn’t just catching up it’s inching ahead.

  • What’s turning heads? DeepSeek models tend to be cheaper to run. So while companies like OpenAI and Anthropic push premium tools, DeepSeek’s offering decent power without the hefty price tag.

  • In just a few months, they’ve gone from launching their first V3 model in December to this new upgrade in March plus a separate model (R1) in between.

Here’s what I think:

This isn’t just another AI launch it’s a sign of how global the race is getting. DeepSeek may not be a household name yet, but if they keep shipping like this, they’ll be hard to ignore. The next wave of AI might not just be made in Silicon Valley.

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