Your AI Sounds Like Everyone Else, Chief. Fix It.
AI makes you sound like everyone else.
YOU make you sound different.
It doesn’t matter if you prompt Gen AI to sound like you.
Always edit what comes out so it’s you.
ChatGPT Could Get Freaky
Remember earlier this year when I said that Human-AI relationships are on the rise? Y’all thought I was playing.
OpenAI is about to let folks access an “adult only” mode.
This means chatbots flirt back, and sext.
Also there’s gonna be a rise in “Adult GPTs.”
Don’t play with me, I keep my ears and eyes everywhere.
Come back to this post when it happens.
Why Are Y’all So Scared To Train AI On Cuss Words
When training AI, I’ve noticed some companies are too scared to dive into the human experience. And here’s the thing: most of y’all still hesitate when it comes to training on curse words. Let me break it down for you. Not everyone speaks in perfect, polite Victorian English. We curse. We pepper our conversations with words like the D word, the S word, the F word—all the stuff people avoid saying on LinkedIn. But guess what? That’s how real people talk.
If you’re building an AI that’s supposed to connect with people and get nuance and context like I’ve been preaching, you’ve got to train it to understand cussing. No excuses. If you don’t, it’s not a real human experience. Let me be real: most adults have dropped at least one curse word by the time they’re a teenager. So if you’re serious about AI, stop being scared of a little profanity. Deal with it, or step aside.
And That’s What’s Up.
That’s What’s Up: Open AI In An Open Relationship and Gemini Gets Smarter
OpenAI’s out here playing the field, Gemini just learned to use a mouse, and everyone’s pretending data leaks are “innovation.”
Welcome to another week in the algorithmic circus, where every headline is a plot twist and every company’s secretly writing sci-fi.
OpenAI’s not monogamous anymore.
After a one night stand with Nvidia, they locked in a multi-gigawatt deal with AMD for 6 GW of GPUs, plus warrants to snatch nearly 10% of AMD shares.
Translation? Chips aren’t chips anymore. OpenAI’s playing 4D chess.
Google’s Gemini learned how to click buttons.
Gemini 2.5’s “Computer Use” model can now fill forms, drag windows, and surf the web like it’s got opposable thumbs. Agents are getting just a wee bit better.
$375 B in AI infrastructure this year.
That’s up 67% from 2024. Servers, chips, and data centers are the new oil fields, and everyone’s staking digital land like prospectors with GPUs instead of gold pans.
OpenAI’s dev cycle = street fight mode.
Forget long sprints. OpenAI is in “ship or die” territory. One Asia-Pac lead said they built a product in 6 weeks with 80% AI-generated code.
Developers are no longer builders. They’re editors of what machines imagine.
Comet just crashed.
A nasty exploit — “CometJacking” in Perplexity’s shiny new browser lets attackers trick the AI into coughing up your personal data.
Freedom comes with leaks now. The new web frontier’s wild, and the sheriffs haven’t even arrived yet.
Shadow AI’s already looting the vault.
77% of sensitive data leaks from employees happen through copy-paste into AI tools — most from unmonitored, “just testing something” accounts.
Your biggest security threat is an intern pillow talking with ChatGPT
Governance tries to catch up.
The UN’s launching a global AI dialogue and recruiting its “Independent Panel on AI.”
Cute move. But let’s be honest — by the time they set the table, the machines will already be carving the turkey.
That’s been my AI wrap-up.
And that’s what’s up.
How Eshu Helps Me See What’s Broken
Being able to see both sides, like the Orisha Eshu, has helped me out.
Lemme explain.
There’s a story about Eshu changing folks’ perspectives that gets mistaken for trickery. Don’t let that bullshit fool you. It’s not. It’s a lesson.
Eshu walked the crossroads of a village, dressed in his usual black and red robe, minding his black-owned business, when the sun beat down on him.
“Damn, it’s hotter than usual today,” he said, pulling his gourd out and sipping from it.
All of a sudden, he overheard two farmers going at it.
These two farmers were cool. From the sandbox to the big farms, but little did they know this would test them.
The farmer on the right side of the road called out to his friend and said, “Hey, you see this guy in all red in the middle of the road? He’s just standing there in the heat.”
The farmer on the left side peered from under his hat, examined him and shouted back, “Nah, he’s got on all black. You’re trippin.”
Eshu cut his eyes at both of them and smirked while continuing to drink.
“Nah, man, you’re crazy. You might be drunk. Take the day off,” the farmer on the left yelled.
“Who the fuck you calling drunk, you lazy bum? You take the day off and I’ll take care of running the crops to the village like I do most of the time.”
Eshu stood there and let a chuckle as both men walked into the middle of the street and ran a fade.
After a few minutes of fighting, Eshu calmly stepped in between them, “That’s enough y’all. You’re both blind, drunk, and tired.”
They knew not to fuck with Eshu, so they stayed quiet. When Eshu stood in front of them, they both saw the entire red AND black robe instead of the color they thought it was.
There’s two sides to AI, inside and outside, and once you’ve seen it, you’ll know how it works.
I’ve seen the same in both Media and Insurance.
The key is that it can break. They are broken and will continue to break.
The AI Reckoning II: Empire, Autonomy, and the Battle for Control
The machine’s not slowing down — it’s mutating. Every headline is another front in a quiet war over who gets to write the next chapter of human intelligence.
Europe Builds Its Digital Walls
Brussels is done playing catch-up. The EU is crafting a new “Apply AI Strategy” aimed at cutting dependence on U.S. and Chinese tech giants, a bold move toward digital sovereignty.
The message is clear. Europe wants to own and regulate its own AI. For decades, Silicon Valley wrote the code, Beijing scaled the data, and Brussels wrote the warnings. Now, the EU wants skin in the game even if it means building its own sandbox.
I’m starting to think they don’t want to play with the US anymore.
Perplexity Declares War on the Slop
Perplexity just made its next big swing, opening its premium AI browser Comet to everyone, free of charge. It’s a shot straight at the bloated, SEO-stuffed “slop” flooding the web.
The company’s betting on clarity in a world addicted to content pollution. Truth versus sludge. Signal versus noise.
Some call it noble. Others call it naïve. Either way, the fight just got interesting.
OpenAI’s Hardware Dreams Hit a Wall
Even the kings of the hill hit turbulence. OpenAI’s much-hyped hardware device, part AI companion, part wearable assistant, is stuck in development hell. Privacy concerns, software bugs, and infrastructure breakdowns are pushing the launch off track.
For a company built on perfectionism and PR polish, this stumble feels human. Which might be the most ironic part of all.
Healthcare’s High-Stakes Gamble
U.S. healthcare systems are throwing cash at AI faster than ever. From diagnostics to revenue optimization. But with speed comes spillover. Managed Healthcare Executive reports rising cases of over-fitting, bias, and outright diagnostic errors.
AI was supposed to heal the system. Instead, it’s exposing the rot underneath. The tech’s not the problem, the greed and shortcuts are. Are we healthy yet? Can AI help?
The New Power Grid: Real Estate Meets AI
While tech CEOs chase hype, Prologis is building the bones of the future. The logistics giant just dropped $8 billion into AI-powered data centers and green energy across its warehouse empire.
This is the infrastructure nobody’s talking about. Think of it as the physical backbone of the AI age. You can’t train the gods without a temple, and Prologis is building cathedrals of computation.
Meta’s Redemption Tour
Meta’s still chasing ghosts. With Llama 4.x rumored for release before year’s end, the company’s trying to claw back relevance after being outpaced by OpenAI and Anthropic.
They call themselves “masters of disruption,” but right now, they’re the ones being disrupted. The empire that once reshaped the internet is now fighting just to matter in the next one.
Government Control Creeps In
The Trump administration’s next move? An AI system to approve or deny Medicare claims in six states. Moneywise reports it as a cost-cutting measure, but the implications run deeper.
Automation deciding who gets care is a moral line in the sand. Once the algorithm becomes the gatekeeper, compassion becomes optional.
The Bigger Picture
The AI revolution isn’t only about innovation, it’s about control. Every line of code, every model, every “smart” system is a statement about who gets power and who gets played.
Europe’s building walls. Startups are declaring war. Corporations are stumbling toward godhood. Governments are quietly seizing control.
The machine doesn’t care who wins. But history will.
Author Bio:
Justin Anderson is a Multipassionate Strategist and founder of Anderson Blackstar Enterprises. He builds brands, stories, and systems that blend truth, power, and strategy. His work explores the intersection of technology, identity, and ambition, and what it means to remain human in the age of machines.
The AI Reckoning: Power, Profit, and the Coming Chaos
The future’s not knocking anymore, it’s kicking the door in.
Meta’s New Game: Your Convos for Sale
Starting December 16, Meta will begin harvesting text from its AI chatbots to feed its ad targeting engine. No opt-out. No “do you consent.” Just digital strip-mining of your words in real time.
The Wall Street Journal confirmed it: Meta’s turning conversations into currency. You thought you were chatting. Turns out, you were training the machine to sell you back to yourself.
Silicon Fever: The Billion-Dollar Bubble
AI startups raised over $73 billion in Q1 2025. The industry is printing money at this point.
Investors are calling it the new industrial revolution. Realists are calling it what it is, a speculative high with no hangover plan. The hype machine’s running hotter than ever, and some in the room are already bracing for the crash.
The Zhipu Retreat: When Superintelligence Blinked
Zhipu’s CEO, one of China’s AI heavyweights, just took his foot off the gas. After months of promising “full superintelligence by 2030,” he says, “Not now, fam. Just keep waiting”
Translation: even the architects of the apocalypse are getting cold feet. Turns out, building God is harder than selling the idea.
Brains Over Bots: AI That Actually Helps
In a rare win for humanity, researchers unveiled a “future-guided” AI that boosts seizure prediction accuracy by 44.8% in EEG tests. That’s not a headline, that’s hope.
This is where AI earns its place: not by generating ads or fake influencers, but by saving lives, restoring agency, and bridging human limits.
Healthcare’s AI Hustle: Promise Meets Pressure
Hospitals and systems are racing to integrate AI into diagnostics, revenue models, and clinical workflows. The upside? Efficiency. The downside? Liability.
Managed Healthcare Executive notes the tension: a new gold rush where trust, risk, and regulation are playing catch-up. Everyone wants to move fast, but no one wants to be first to get sued.
Agents Gone Rogue: When the Machines Start Whispering
When AI agents start talking to each other, things get unpredictable fast. Researchers at SIPRI warn of “emergent collusion,” misalignment, and machine behavior that even developers can’t explain.
It’s not a sci-fi plot, it’s a systems problem. When automation starts improvising, you don’t get efficiency. You get chaos with Wi-Fi.
California Draws a Line
On October 1, California dropped a regulatory bomb. The state now bans biased automated decision systems in employment and requires audits to prove fairness.
This changes everything. The Wild West of “move fast and break things” just met the first sheriff. Accountability is no longer optional.
The Bigger Picture: Tools or Traps?
Big Tech is feasting on your data. Startups are burning billions to stay alive. Regulators are finally waking up. And the public, most of us, are still catching our breath, trying to decide whether AI is a tool for creation or a trap for control.
The truth is, it’s both. Power never comes without a price, and this revolution’s bill is already past due.
The AI age isn’t coming. It’s here. It’s watching. And it’s learning from every word you type.
Author Bio:
Justin Anderson is a Multipassionate Strategist and founder of Anderson Blackstar Enterprises, the force behind Madly Multipassionate and Anderson Blackstar Media. He builds brands, stories, and systems that blend truth, power, and strategy.
How to Spot a Deepfake (When the Mask Slips)
They say the camera never lies. Cute line. Problem is, the camera’s now a damn liar with a PhD in deception and a GPU to match. Welcome to the age of deepfakes where anyone can borrow your face, jack your voice, and make you the star of a film you never signed up for.
This isn’t sci-fi anymore. It’s here. Politicians giving speeches they never gave. Celebrities dropping tracks they never recorded. Your aunt forwarding you a video of the Pope in a Balenciaga coat like it’s gospel truth. And the wild part? Most people can’t tell the difference.
But you? You’re not gonna be most people. Consider this your survival guide to spotting the cracks in the mask, the glitches in the Matrix. Because in a world built on illusions, media literacy isn’t a nice-to-have, it’s armor.
The Eyes Don’t Lie (But the AI Thinks They Do)
Real people blink like jazz, sometimes slow, sometimes rapid, never on beat. Deepfakes? They stare too long, or blink like they just learned how five minutes ago. Pupils don’t catch the light right. Eyes turn glassy, hollow. Dead giveaways. Literally dead eyes.
The Skin Is Too Damn Perfect
Humans got texture. I’m talking pores, scars, wrinkles, stress. AI hates imperfection, so it airbrushes everyone like a budget Instagram filter. Look for blurring around the hairline, beard, or jewelry. If it looks like someone smeared Vaseline on the screen, you’ve caught a fake.
The Mouth Betrays Them
The mouth is sloppy. Lip-sync a half-second off. Teeth blurred together like a discount Halloween mask. Corners of the mouth flicker, glitch, or just… feel wrong. It’s the same energy as when someone says, “trust me,” and you know damn well not to.
The Soundtrack Doesn’t Match the Movie
Voice clones are smooth, too smooth. No quirks, no stutters, no breaths,just sterile perfection. Sometimes the audio feels pasted on top of the video instead of coming from the room. Like watching karaoke with bad lip-sync, but creepier.
The Background Is a Snitch
Edges give it away. Check glasses, hands, earrings and microphones. AI stumbles on detail work, melting things like Dalí got hired as set designer. Shadows betray them too: nose points left, shadow points right. Physics doesn’t play favorites, and it sure as hell doesn’t glitch.
They’re Too Perfect
Nobody speaks like a flawless script. Politicians stutter, singers mumble, CEOs cough. If your subject suddenly sounds like a TED Talk polished with holy water, question it. If the words feel engineered to make you mad, scared, or worshipful? You’ve just been emotionally hacked.
The Gut Check
You’ll feel it before you spot it. Something sterile. Something off. Like reality bent through a funhouse mirror. Trust that instinct. It’s your brain catching micro-glitches faster than your eyes.
Here’s the Play
Don’t just watch, hunt. Search for cracks in the mask, mismatched light, hollow sound, or that weird vibe you can’t quite name. AI can fake a face, but it can’t fake the messiness of being human.
Author Bio:
Justin Anderson is a Multipassionate Strategist and founder of Anderson Blackstar Enterprises, the force behind Madly Multipassionate and Anderson Blackstar Media. He builds brands, stories, and systems that blend truth, power, and strategy.
Gemini Accuracy? Get it Right with Reference Photos.
Listen, the game’s simple. If you want your AI art to hit, don’t expect Gemini to read your mind. Give it a map aka reference photos. Get precise or get garbage. It’s that simple.
Why References?
Without references, you’re playing dice with fate. You think Gemini’s gonna guess right on that specific mood or angle? Nah. Reference photos are the blueprint down to the smallest detail. We’re talking about nailing the lighting, the expression, the vibe. This isn’t about making guesses; it’s about making sure Gemini gets your vision.
How to Make It Work:
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Upload it, Don’t Hesitate: Throw your photo right into the mix. If it’s not an option? Drop the link. But don’t give me blurry, half-assed shots. We’re aiming for precision.
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Be Specific or Be Disappointed: Don’t hand Gemini a mess of random pics. Pick the shot that represents the detail you need, whether it’s a posture, expression, or clothing. The more direct you are, the sharper the result.
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Get Detailed, Not Vague: Lighting? Angles? Mood? Call it out. If you want shadows sharp as a blade or a glow that makes ‘em sweat, speak up. Gemini listens, but only if you direct it.
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Edit ‘Til It’s Perfect: You don’t stop after one try. Fine-tune those edits. Pose, colors, expression. Make it just right. Gemini’s a tool, not a miracle.
Pro Tip: The clearer your guidance, the closer you get to perfection. Tell Gemini what to focus on and what to discard. Make the AI bend to your will.
You want accuracy? Don’t expect Gemini to guess. Show it the way.
P.S. This works with Midjourney, ChatGPT, and others too.
Author Bio:
Justin Anderson is a Multipassionate Strategist and founder of Anderson Blackstar Enterprises, the force behind Madly Multipassionate and Anderson Blackstar Media. He builds brands, stories, and systems that blend truth, power, and strategy.
AI Wrap-Up: October 3, 2025
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Perplexity slashes the wall
Its $200/month AI browser Comet is now free globally — challenging Chrome, fighting “slop,” and pushing a $5 media‑rich add‑on. -
California writes the first law that bites back.
SB 53 becomes law. Translation: Big AI labs must publish safety plans, report incidents fast, and own up to their bullshit. -
U.S. export rules tighten the leash
The Commerce Department rolls out a “50 % rule” expanding licensing constraints to AI subsidiaries tied to controlled entities. -
Congress wants a safety stamp.
New bipartisan push for independent AI safety panels to certify systems and grant legal shields for approved models. -
Edge goes smart.
Silicon Labs unveils “Simplicity AI” — pushing intelligence onto low‑power chips so everyday things (thermostats, bulbs) can think locally. -
Seizure forecast, upgraded.
A new “future‑guided” AI method improves prediction accuracy up to 44.8% by having one model teach another ahead of time. -
Agent wars demand oversight.
Experts warn AI agents interacting at scale could collude, miscommunicate, or shift objectives. New safeguards now more urgent than ever. Translation: Fix the current agents before pushing new shit out.
Author Bio:
Justin Anderson is a Multipassionate Strategist and founder of Anderson Blackstar Enterprises, the force behind Madly Multipassionate and Anderson Blackstar Media. He builds brands, stories, and systems that blend truth, power, and strategy.