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OpenAI launched new AI models "GPT-4.1"

And these new AI models outsmart the mighty 4o model in benchmarks. Here's more about these models + other spicy updates.

Author

Jafar Najafov
April 14, 2025 • Read this in 7 minutes

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The first “AI-generated” music?

Was composed in 1957.

Two scientists used an IBM 704 to make a computer sing “God Save the Queen.” Today? AI composes film scores.

Back then? It just wanted to sing the anthem.

In today’s post:

  • OpenAI: New AI models family “GPT-4.1“

  • NVIDIA: New chips will be made in USA

  • Trending AI tools + Giveaway

What’s Trending Today

Breakthrough

OpenAI's GPT-4.1 Is the Most Useful Model Yet

OpenAI dropped something big and it’s not just smarter, it's faster, cheaper, and better at reading the room.

  • The new models are called GPT-4.1, GPT-4.1 mini, and nano. The names sound cute, but they’re packing some heavy firepower.

  • GPT-4.1 is way better at writing code, following instructions, and understanding giant amounts of text like, up to 1 million tokens in one go. That’s more context than most of us can hold after two coffees.

  • It crushed coding tasks, with accuracy jumps that leave earlier models in the dust. Want a model that edits code without messing up what’s already working? This one gets it.

  • For devs, 4.1 is a gift fewer bugs, cleaner edits, and it doesn’t overthink every tiny line.

  • The mini version? Basically punches above its size. It’s almost as smart, but runs faster and costs way less. And the nano? Built for speed and quick tasks like auto-completing and classifying stuff on the fly.

  • GPT-4.1 also listens better. Literally. It follows complex instructions more reliably and doesn’t get tripped up mid-convo.

Here’s what I think:

This release feels like OpenAI stopped tinkering and started engineering. These models aren’t just demos anymore they’re turning into tools. Solid, reliable, ready-to-ship tools. If you're building anything with AI, this is your new foundation.

Check the complete launch update here

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Update

America’s AI Muscle Is Finally Getting Built at Home

For the first time ever, NVIDIA’s brainpower isn’t just going into chips it’s going into factories. Right here in the U.S.

  • NVIDIA’s newest AI chips, codenamed “Blackwell,” have started rolling off production lines in Arizona a big shift from the usual overseas assembly game.

  • These aren’t just chips. These are the engines behind entire AI supercomputers, the kind that fuel data centers running everything from chatbots to climate models.

  • Production's not just staying in one place either. NVIDIA’s building massive new manufacturing sites in Texas with partners like Foxconn (Houston) and Wistron (Dallas). Full-scale output is expected in a year or so.

  • Making this happen isn’t easy. AI hardware needs some of the most complex tech on earth from precision packaging to advanced testing. NVIDIA’s roped in partners like Amkor and SPIL to handle that in Arizona.

  • Over the next four years, the company plans to build $500 billion worth of AI infrastructure in the U.S. That’s not a typo. Half a trillion.

  • These "AI factories" are more than just data centers. Think of them like energy plants for intelligence big, powerful, and foundational for everything AI will become.

Here’s what I think:

This feels less like a manufacturing update and more like NVIDIA drawing a new map. AI is the new oil, and these factories? They're the refineries. And now, for once, they're sitting on American soil.

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