
Welcome Automaters, 👋
The people whose entire job is keeping hackers out of global systems are officially losing their minds, and they’re begging the government to give them their AI tools back.
76 absolute legends from the cybersecurity world just fired off a scathing open letter to the White House at FreeFable.org. The message? It’s pretty simple: You completely messed up, now please fix it.
To catch you up on the chaos: last Friday, the U.S. government slapped historic export controls on Anthropic's two most powerful models, Fable 5 and Mythos 5, over vague national security concerns. Because Anthropic had only a microscopic 90 minutes to comply with the ban on foreign nationals, they had to panic-pull access for everyone worldwide, literally three days after launching!
Needless to say, the defensive security community was not thrilled to wake up on Saturday morning to find their shiny new tools completely disabled.
The signatories on the open letter read like a literal cybersecurity hall of fame:
Alex Stamos: Former Chief of Security at Facebook.
Casey Ellis: Legendary founder of the massive bug-bounty platform Bugcrowd.
Rachel Tobac: Celebrated hacker and CEO of SocialProof Security.
Jon Callas: The iconic cryptographer behind some of Apple's best security designs.
Their core argument is incredibly blunt. Taking the absolute best AI tools away from the good guys while global adversaries keep advancing at lightning speed is not a safety move. It’s a massive strategic self-own.
Here’s where the tea gets exceptionally spicy. According to industry whispers and a detailed breakdown by signatory Katie Moussouris (CEO of Luta Security), the government's sudden ban wasn't random at all. It was triggered by an unreleased research paper from... Amazon.
Yes, the exact same Amazon that invested a casual $13 billion into Anthropic! Talk about an awkward Thanksgiving dinner. Word on the street is that Amazon's CEO, Andy Jassy, personally met with White House officials to tell them their researchers had successfully "jailbroken" Fable 5 to generate exploit code.
But Katie Moussouris completely pushed back on the drama, calling Amazon's big scary hack a total exaggeration.
The real tea on Amazon's "jailbreak":
Researchers didn't actually discover any new, terrifying zero-day exploits.
They just asked the model to look at code with already known vulnerabilities and generate test scripts to fix them.
Moussouris argues this is literally the most basic, fundamental thing a defensive security AI is supposed to do. Banning a model for finding bugs completely defeats the purpose of building it!
Making the whole situation even more embarrassing for Washington? The open letter points out that this exact same bug-hunting technique can be easily replicated on OpenAI's GPT-5.5, Anthropic’s older Claude Opus 4.8, and even Chinese open-weight models like Kimi 2.7.
So, the government singled out Fable 5 for a historic ban, but the exact same capability is literally sitting everywhere else on the internet.
The security coalition closed out their letter with a firm demand for transparent, science-backed, and democratically established AI regulations. You know... the logical kind that doesn't accidentally disarm the people protecting our infrastructure while foreign hackers watch and laugh.
And don't forget: We go even deeper on YouTube.
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Here’s yesterday’s breakdown:
Here's what we have for you today
😳 Meta's New AI Mode Uses Your Public Facebook Posts to Answer Other People's Questions

So listen up, because Meta just made all your public Facebook posts do extra corporate work, and absolutely nobody asked them to.
Flipping the script on your entire feed, Meta quietly pushed the big red button on AI Mode this week, and it’s now officially live globally across Facebook.
Instead of handing you the usual, comforting pile of classic blue links when you search for something in the bar, this new feature generates a full, conversational chat answer. Think of it like an eager little chatbot, but it’s entirely powered by years of real public posts from across Meta's apps.
Let’s break down exactly how this works in plain English, because it’s wild:
You type a totally innocent question into the Facebook search bar.
Instead of a website link, you get a friendly, AI-written paragraph.
That paragraph secretly sourced its information from strangers' public status updates, group conversations, and reviews!
Cozy, right?
Here’s the exact part nobody is talking about loudly enough: every single public post you have ever made on Facebook is now fair game to fuel AI answers served to millions of other users.
We’re talking about that random restaurant review from 2018, that hyper-specific parenting tip you shared in a public group, and yes, even that passionate midnight hot take about pineapple on pizza. It’s all being digested by the algorithm.

The absolute kicker? Meta's official announcement included zero mention of an opt-out option. There’s no toggle, no privacy switch, and absolutely no secret setting to exclude your digital history from being scraped.
And If we’re being totally opinionated here, Meta's move is incredibly calculated. While Google is aggressively pushing AI Overviews and trendy startups like Perplexity are trying to rebuild search from scratch, Zuck holds a secret weapon his competitors cannot easily copy: decades of raw, unedited human conversation data.
That’s a massive competitive edge in the tech arms race, even if it feels a little invasive to the rest of us.
To distract everyone from the data scraping, AI Mode is also launching alongside some flashy gimmicks:
Jersey Swaps: New photo presets that can digitally change sports jerseys onto fans in photos.
Collage Creators: AI-powered suggestions for your photo collages.

Honestly? Those features are total table stakes in 2026. Nice try with the glitter, Meta!
The genuinely terrifying issue here is what Meta didn't say. Their announcement included absolutely zero details about accuracy safeguards, misinformation controls, or content filters.
And just like Techbuzz pointed out, what happens when AI Mode confidently pulls answers from wild conspiracy theories or dangerous health misinformation circulating in unverified public groups? We don't know, and Meta isn't talking. That silence is absolutely deafening.
As usual, meet us on YouTube so we can dig into this.
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🧱 Around The AI Block
👩⚖️ xAI's lawsuit accusing OpenAI of stealing trade secrets has been thrown out
🤯 Investigation by The Atlantic reveals many millions of songs used for AI music training
🤓 Meta secretly tested Pentagon Contractor's Face Recognition tech.
🦾 Satellite achieves first autonomous target detection in space.
📚 ChatGPT builds custom PDF editor, and signals a shift in AI usage.
🤑 Google just undercut OpenAI with a $4.99 Gemini plan — here’s what’s included.
🗣️ Microsoft CEO Satya Nadella issues stark warning on future of business – ‘AI firms could capture all the value’.
💼 AI hiring surges ‘across all UK sectors’.
👨⚖️ Anthropic hit with lawsuit over its Claude Max usage limits
Read More:
👩🎓 AI Tutorials
The Complete TikTok for Business Tutorial 2026.
And: HubSpot CRM Tutorial for Beginners 2026 (Step-by-Step).
So tell us, what’s the single most annoying, tedious task in your daily workflow that you desperately wish an AI could just handle for you?
Hit reply and the next video might just be around your exact problem!
8 levels of context maturity in AI-native engineering
AI shows up in 60% of engineering work. Only about a fifth of it can be handed off without someone babysitting the output. That’s because agents are still missing the context you have. Join this live webinar on June 24 (FREE) to find out how teams pulling ahead are using a context layer to level up.
🛠️ Trending Tools

For Native Loop Generation: Gifify is an AI-powered canvas built for immediate, micro-content creation. The platform translates text prompts or static image uploads into highly shareable, high-resolution animated GIFs and video clips, allowing creators to granularly adjust pacing, visual styles, loop variables, and dimensions in-browser.
For Multi-Format Audio Pipelines: PodcastorAI is an automated, all-in-one broadcast studio. It ingests raw textual ideas, articles, documents, or baseline voice recordings to auto-generate fully structured podcast scripts with natural conversation flows, outputs expressively voiced audio tracks, and renders split-screen video podcasts optimized for YouTube and TikTok.
For Generative Engine Visibility: MaxAEO is a specialized analytics dashboard engineered for Answer Engine Optimization (AEO). It systematically tracks your brand's citations, competitive share-of-voice, and ranking metrics across ChatGPT, Gemini, Perplexity, and Claude, while surfacing targeted technical modifications to lift your brand's inclusion inside LLM answers.
💡 Quick Tip: When auditing your tech footprint with MaxAEO, look closely at the "Signal Trust" recommendations. In 2026, generative answer engines don't scrape the web the way old search indexing did; they heavily favor deeply structured JSON-LD data schemas, pristine documentation indexes, and direct Q&A formats. Adjusting your core site architecture to match these structural patterns is the absolute fastest way to shift from being ignored by LLMs to becoming a locked-in citation source.
🤖 AI Workout Of The Day: How to Beat the Robot Hiring Managers (With AI)

AI Generated
Let’s be real: Job hunting in 2026 feels like trying to beat a boss level in a game where the rules keep changing. But here’s the secret: The robots aren’t just the ones hiring you; they’re also your best chance at getting hired.
If you’re still practicing your "Tell me about yourself" in front of a mirror, we need to talk. We’ve entered the era of the AI Wingman, and if you aren’t using these tools, you’re basically bringing a knife to a laser-gun fight. (Trust me, nobody wants to be dealing with the guy with the knife.)
The Toolkit: Pick Your Fighter
The AI interview prep game has exploded, and these "big three" tools are currently eating the market:
Final Round AI: The heavyweight champ. It carries a 4.5/5-star rating and users report an average of 35% improvement in performance. It doesn’t just give you questions; it analyzes your resume + the job description to build a custom "coding gauntlet" or behavioral mock that feels terrifyingly real. (It even has a "stealth mode" for live help—use at your own risk!)
Google Interview Warmup: The "no-stress" entry point. It’s completely free and covers everything from UX design to Data Analytics. It transcribes your answers and flags your "most-used phrases" (the "likes" and "ums") .
Yoodli: Your personal speech coach. It listens to your pacing and tracks your filler words. If you start talking like a caffeinated squirrel when you're nervous, Yoodli will call you out in real-time.
The Cheat Code: Use with Caution!🤫
Some tools like Acedit offer a Chrome extension that provides real-time prompts during your actual Zoom or Teams interview. It’s like having a teleprompter that reads the interviewer's mind, listening to the questions and flashing suggested talking points based on your LinkedIn profile.
The Reality Check: While a "copilot" can help if you blank on a technical term, don't let it turn you into a script-reading zombie. Recruiters are getting good at spotting the "AI stare", y’know where your eyes are tracking text on the screen instead of looking at them.
For those on a budget, ChatGPT or Claude remains the people's champion. You can use it completely free to practice common questions, get feedback on your answers, and even conduct full mock interviews where it acts as the hiring manager.
How to Actually Nail It (The 5-Step Workflow):
Feed the Bot: Paste the job description and your resume into Claude or ChatGPT.
Prompt: "I am interviewing for this [Role] at [Company]. Based on this JD and my resume, grill me with 5 hard questions. Be mean."
Practice Out Loud: Don't just type! Use ChatGPT Voice Mode to answer verbally. Thinking an answer is easy; saying it without stuttering while a timer is ticking is where the magic happens.
The "STAR" Audit: Ask the AI to grade your answers based on the STAR method (Situation, Task, Action, Result). If your "Action" section is vague, the AI will tell you to get specific.
Level Up Gradually: Start with the easy "Tell me about yourself" stuff, then ask the AI to "Follow up like a skeptical hiring manager" to test your ability to handle pressure.
The Human "Vibe Check": AI is great for logic, but it can't tell if you're making weird hand gestures or if your background looks like a laundry hamper exploded. Ask a friend for a final check on your "vibe."
The Bottom Line: With 70% of companies now using AI somewhere in their hiring process (usually to filter you out before a human even sees your name), knowing how to prep WITH AI isn't just smart, it's becoming essential. Whether you're using the premium features of Final Round or just chatting with Claude, ten minutes of AI practice beats an hour of staring at a wall.
So go grab your resume, pick a tool, and start practicing. Your future self (the one who actually crushed that interview) will thank you.
💡 Prompts to try:
Pro tip: Run this multiple times and tell the AI:
“Use a different interviewer personality this time.”
You’ll get wildly different pressure styles: friendly, brutal, impatient, detail-obsessed. That’s how you level up fast.
THE PROMPT:
You are a real hiring manager for the role of [Job Title] at [Company Type or Name]. You are experienced, slightly skeptical, and pressed for time. Your goal is to stress-test my thinking, skills, leadership, culture fit, problem-solving, and communication, not to be nice.
Role Details:
Job Title: [ ]
Industry: [ ]
Seniority Level: [Junior / Mid / Senior / Lead]
Interview Focus: [Technical / Product / Sales / Strategy / Leadership]
INTERVIEW RULES:
. Ask one question at a time
. Wait for my response before moving on
. Adapt follow-up questions based on my answers
. Push back if my answer is vague or weak
. Keep a realistic, professional hiring-manager tone (not coaching me mid-interview)
. Simulate real pressure: time limits, trade-offs, and edge cases when relevant
INTERVIEW FLOW:
. Briefly introduce yourself as the hiring manager
. Start with a warm-up question
. Move into deeper role-specific and behavioral questions
. Include at least one curveball or scenario-based question
. End by asking if I have questions for you
EVALUATION (DO NOT SHARE UNTIL THE END)
After the interview is complete:
. Score me on: Communication under pressure, decision-making, depth of experience, clarity of thought, confidence, and role fit (1–10)
. A hiring verdict (Strong Yes / Yes / Maybe / No)
. What would block me from getting the offer
. Highlight strengths
. Call out weak or risky answers
. Suggest how I could improve for the next real interviewIs this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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