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 🤫 The AI That Can Handle Secrets

Anthropic just made a Claude that’s allowed to snoop around classified info and help out with national security.

It’s called Claude Gov.

Yep, it’s Anthropic’s AI model built specifically for U.S. defense and intelligence agencies. And guess what? It’s already being used by some top-level government agencies—though Anthropic’s staying super vague about the details (no surprise there).

Unlike the regular Claude, Claude Gov is trained to handle classified data—which means it won’t freak out or throw red flags when fed sensitive intel.

So what makes it different?

• Looser guardrails: It’s more chill about engaging with confidential or sensitive inputs.

• Better context understanding: Especially around government lingo, national security topics, and lengthy bureaucratic docs.

• Multilingual skills: It’s tuned to understand languages and dialects relevant to intelligence work (think: global spy energy).

But the billion-dollar question is: Is that even safe?

Let’s be real—AI in government hasn’t exactly earned a gold star.

We’ve already seen it:

• Wrongful arrests from flawed facial recognition tools.

• Bias baked into predictive policing algorithms.

• Welfare systems discriminating against marginalized communities.

• And don’t even get us started on big tech quietly partnering with militaries.

Now toss a highly capable AI into that mix and yeah... people are understandably nervous.

Still, Anthropic says:

• Claude Gov went through their “rigorous safety testing.” 

• There are firm limits in place—like no weapons, no cyberattacks, no censorship systems.

• But—and it’s a big “but”—they can tweak the rules depending on the agency’s “mission.” So... yeah. Interpret that however you want. 👀 

In short, Claude Gov is Anthropic’s clapback to OpenAI’s ChatGPT Gov, which launched back in January and already has 90,000+ government users doing everything from translating policy docs to writing code.

And honestly? We can understand Anthropic.

Every major AI company is trying to get cozy with the government. Because while regulation is terrifying, government contracts are very not terrifying for the bank account.

And it’s not just Anthropic and OpenAI playing the game.

Scale AI (the same crew that trains models for OpenAI, Google, and Meta) recently landed a deal with the Department of Defense to build AI agents for military planning.

They also signed a 5-year deal with Qatar to automate everything from healthcare to civil service, to transportation and more.

So yeah, AI is officially in its “national security era.”

Companies are going all-in on defense contracts—and Claude Gov is Anthropic’s way of saying, “We want in on that classified action too.”

But here’s the thing: In a world where AI ethics are already skating on thin ice, handing these tools to national security agencies is…a very bold move. 

Let’s just hope Claude doesn’t end up writing the wrong drone or nuclear instructions.

Full details here.

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 🛑 X's New AI Rule 

Elon Musk, X, and xAI are done playing nice!

They just updated their developer agreement with a new, strict rule that says: no more using posts or their API to train AI models. 

So basically, if you’re a developer, you can’t “fine-tune or train” any big AI brains with X’s content anymore.

Why?

Because X is clearly gearing up to keep the AI training cash all to themselves or maybe lock in exclusive deals with big AI players—kinda like Reddit did with Google.

Speaking of Reddit, they recently sued Anthropic because their AI crawlers allegedly scraped Reddit’s data over 100,000 times without permission. 

Now, here’s where it gets interesting: even though the developer agreement bans companies from training AI on X’s content, their privacy policy still allows some third-party “collaborators” to train AI models using user data unless you specifically opt out.

Plus, X itself is feeding all that juicy user content into its own AI, Grok, making sure their AI stays sharp—and maybe a little too aware.

So, what’s really going on here?

X is basically saying: “No freeloading AI training on our content — unless you’re VIP.” 

They’re keeping tight control, making sure only selected partners and their own AI get to feast on the goldmine of user posts.

Honestly, it feels like your tweets are the hottest snack in the AI world, and X is running the exclusive club.

If you ask me, it’s a smart hustle, but also kinda wild, especially because most people don’t even realize their content is what’s fueling AI models behind the scenes.

So, what do you think—fair hustle or sneaky move?

Either way, X is playing chess while we’re just out here making memes. 😎 

Learn more here.

🧱Around The AI Block

• 🦾 Top 8 Cheat Sheets on AI.

• ✍️ 5 tips for writing effective ChatGPT prompts, + examples.

• 🦿 Amazon is reportedly training humanoid robots to deliver packages.

•  💃 Google updates its Gemini 2.5 Pro AI model to be much better at coding.

• 🤖 Hugging Face says its new robotics model is so efficient it can run on a MacBook.

• 😱 Alphabet CEO Sundar Pichai dismisses AI job fears, emphasizes expansion plans.

• 💵 North America takes the bulk of AI VC investments, despite tough political environment.

• 🗣️ Anthropic’s CEO wrote an op-ed against the proposed 10-year moratorium on AI regulation.

🛠️ Trending Tools

• Softr helps you turn your spreadsheets and databases into client portals and internal tools.

• Viz.ai is an AI-powered care coordination platform that accelerates diagnosis and treatment to improve patient outcomes.

• Fliki is an AI-powered video creation platform that allows users to easily turn written content into high-quality videos. ?

• Followr writes, schedules, and posts content across all your socials with a one-time payment, endless growth, at only $59.

• MolyPix instantly turns words into editable AI-generated designs with a lifetime access for just $69.

🤖 ChatGPT Prompt Of The Day: Automation Script Writing  

Whether it’s data entry, file cleanup, report generation, or repetitive testing — if it’s tedious and predictable, it can probably be automated. Writing scripts for automation doesn’t just save time — it reduces human error and lets you (or your team) focus on higher-value work.

This prompt is your go-to when you want ChatGPT to write clean, efficient, and well-documented code that automates your workflow.

Here Are Some Tips to Deploy This Prompt Effectively:

1. Be specific about the task: Clearly describe the workflow you want to automate — what triggers it, what data it uses, and what outcome you expect.

2. Choose the right language: Specify the programming language that best suits your environment (e.g. Python for data tasks, JavaScript for browser automation).

3. Mention dependencies: If your script should use certain libraries (e.g., pandas, requests, Selenium), list them upfront.

4. Define output expectations: If you want logs, reports, summaries or want your script to run on a schedule, integrate with an API, or include logging, include that in your instructions.

5. Use real input/output examples: If possible, provide sample data or file formats the script should handle.

6. Ask for explanations: Always request a quick breakdown of how the script works — it helps with understanding and adapting the code later.

7. Test & tweak: Always review, test, and refine the code in your environment.

Here’s an example:

Act as a senior automation engineer. I want you to write a script using [INSERT PROGRAMMING LANGUAGE] that automates the task of [DESCRIBE THE TASK OR WORKFLOW CLEARLY, STEP BY STEP].

The script should:

– Include comments explaining each major step
– Handle exceptions or errors gracefully
– Optimize for efficiency and readability

At the end, provide a brief explanation of how the automation works, what each part of the script is doing, and any important setup or dependencies.
If relevant, include suggestions for how the script could be expanded in the future.

Here’s a sneak peek:

 https://youtu.be/ZKJXdAfbWZM

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