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👩‍💻 OpenAI’s Secret Weapon for Coders

OpenAI is making moves again.

They’ve just rolled GPT-4.1 and GPT-4.1 mini straight into ChatGPT—and if you use the app a lot, you might wanna pay attention because this update lowkey changes the game (especially for coders and people who love to break stuff just to fix it again with code).

Here’s the deal:

GPT-4.1 is now available to Plus, Pro, and Team subscribers.
GPT-4.1 mini is free (yes, FREE) for everyone—even the non-paying crowd.
And GPT-4.0 mini? Yeah… that model just got kicked out. Gone. Retired. RIP, little guy.

So what makes GPT-4.1 cool?

It’s an absolute beast at writing and debugging code.
It’s designed to make life easier for devs working directly in ChatGPT.
It’s faster than the “o-series” (think GPT-4o), but not necessarily smarter. OpenAI says it doesn’t top o3 in raw intelligence—but it makes up for that with slicker performance and… it doesn’t come with new features, modalities or other ways of interacting with the model.
But it follows instructions like your favorite barista—no questions, just results.

But of course, it wouldn’t be an OpenAI drop without a bit of drama.

When OpenAI released GPT-4.1 via API earlier this year, some AI researchers weren’t exactly thrilled.

Why? There was No safety report.

They called OpenAI out for skipping transparency. The company clapped back, saying this model isn’t a “frontier model.” Basically, “It’s cool, but not Terminator-cool, so it doesn’t need all the safety paperwork and PR fuss the big boys get.”

Still, the pressure clearly did something—because OpenAI is now stepping up its transparency game. In fact, they just:

Launched a new Safety Evaluations Hub, where they’ll regularly post internal safety test results and performance updates of their models.

And just to spice things up even more—rumor has it OpenAI’s about to scoop up Windsurf, one of the top AI coding tools, for a very chill $3 billion.

Meanwhile, over at Google HQ, they’re not sitting quietly either. They just upgraded Gemini to connect more easily and smoothly with GitHub.

Long story short? The AI coding tool war is officially on—and GPT-4.1 is OpenAI’s latest flex.

Want to find out more? Click here.

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🤯 The U.S. Flips the Script on AI Chip Exports

So... the U.S. government just ghosted its own AI rule. Like seriously.

After a whole rollout and a bunch of buzz, the Biden administration’s AI Diffusion Rule—aka the one that was gonna slap limits on where U.S.-made AI chips could be sent—has been officially canceled just days before it was set to go live (today, May 15, to be exact).

The rule basically sorted countries into tiers like some kind of geopolitical Hunger Games:

Tier 1: included friendly faves like Japan and South Korea who would have faced no restrictions.
Tier 2: saw the chill-but-watch-your-back countries like Mexico and Portugal who would have seen chip export limits for the first time.
Tier 3: included the usual suspects like China and Russia who would have had to contend with tightened controls.

But plot twist—the Department of Commerce straight-up pulled the plug. Yup.

Instead of blanket bans, they’re now leaning into a more “let’s talk things out country-by-country” approach. Which, honestly, sounds more like AI diplomacy than AI defense.

Now, in place of the rule, the DOC handed out some “guidance” (aka strongly worded reminders) that basically says:

Don’t touch Huawei’s AI chips. Like, at all.
If your chips end up training AI models in China, there will be consequences.
Even recommended ways to protect chip supply chains from diversion tactics.

Oh—and in true D.C. fashion, Biden caught some political shade.

A Trump official called Biden’s AI policies “ill-conceived and counterproductive,” and promised a more “bold and inclusive” AI strategy—one that focuses on partnering with trusted countries while keeping U.S. tech far away from adversaries.

In other words? Same control... just a different flavor.

In short: The AI rule is toast. Diplomacy is in. And the U.S. is still very much in its “don’t-let-China-get-our-goodies” era—just with less paperwork, more one-on-one negotiations, and, of course, plenty of side-eyes.

Here’s the full report.

🧱Around The AI Block

🧑‍💻 The top ten AI APIs to use.
👉 Microsoft Build 2025: What to expect from Copilot, Windows 11 and AI agents.
💃 Gemini is coming to TVs, cars, and other places eventually.
🦾 TikTok will let you use an AI prompt to turn a photo into a video.
🔊 Audible is giving publishers AI tools to quickly make more audiobooks.
🧑‍⚖️ Republicans push for a decadelong ban on states regulating AI
😱 Grok is unpromptedly telling X users about South African ‘white genocide’.
👨‍🔬 DeepMind claims its newest AI tool is a whiz at math and science problems.

🤖 ChatGPT Prompt Of The Day: Fact-Check Like a Pro

In a world full of misinformation, fact-checking isn't just smart—it’s essential.

Whether you're reviewing a blog post, article, report, or social media content, verifying the accuracy of claims protects your credibility and helps you make better decisions. With the right prompt, ChatGPT can help you spot false claims, confirm truths, and back everything up with solid sources.

💡 Here’s how to deploy this prompt effectively.

Explain Your Context Clearly: Let ChatGPT know why you're fact-checking (e.g., publishing an article, preparing a report, double-checking a source). This helps tailor the depth of the review.
Provide a Clean, Complete Document: Make sure the text is readable and formatted well—ChatGPT needs clarity to catch all claims.
Be Specific About the Output Format: Ask for organized results—tables, bullet points, or sections with headings (e.g., “Claim,” “Check,” “Source,” “Status”).
Request Source Citations: Ask for links or named sources for every fact-check so you can double-check the results.
Set Accuracy Expectations: Mention you want verification using trustworthy sources (e.g., government sites, academic research, recognized news outlets) so you can double-check the results.
Highlight What Matters Most: If some sections or topics are higher priority, say so. This helps focus the effort.

Here’s an example:

You are an expert analyst. I am [insert context—e.g., reviewing an article for publication, or validating a speech draft, etc.]. Please analyze the attached document and identify all factual claims made by the author. 

For each claim:
– Verify its accuracy using credible external sources
– Provide a short explanation confirming or disputing it
– Include a citation or link to your source.

Highlight any incorrect or questionable information.

I’d like the output organized in the following format:
– Claim(s)
– Verification Result (True, False, Needs Context)
– Source(s)
– Notes or Commentary

Ensure the process is thorough and objective.

Here’s a sneak peak:

Source

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