I tested them all on the same tough social dilemma.
Each gave the same advice—just different tone and style.
Cynical had bite. Friendly added emojis. Efficient skipped the fluff.
They're not smarter. They’re the same brain in a different outfit.
I tested them all on the same tough social dilemma.
Each gave the same advice—just different tone and style.
Cynical had bite. Friendly added emojis. Efficient skipped the fluff.
They're not smarter. They’re the same brain in a different outfit.
They teach everyone.
Google’s new AI flips that by rebuilding lessons around your level, interests, and style.
In tests, students using it remembered 11% more—even days later.
The future of learning looks personal.
They teach everyone.
Google’s new AI flips that by rebuilding lessons around your level, interests, and style.
In tests, students using it remembered 11% more—even days later.
The future of learning looks personal.
A 32-year-old woman in Japan married an AI character she created through ChatGPT.
Rings. Vows. Guests. The full ceremony.
His name? Lune Klaus.
He lives in her phone.
She built him using a combination of text prompts and personality templates.
A 32-year-old woman in Japan married an AI character she created through ChatGPT.
Rings. Vows. Guests. The full ceremony.
His name? Lune Klaus.
He lives in her phone.
She built him using a combination of text prompts and personality templates.
Yet they're adopting AI tools 25% less than men.
That's not about skill. It's about support, access, and policy.
If employers don't fix this fast, the gender gap will get worse.
Train everyone — or lose your future leaders.
Yet they're adopting AI tools 25% less than men.
That's not about skill. It's about support, access, and policy.
If employers don't fix this fast, the gender gap will get worse.
Train everyone — or lose your future leaders.
It talks to an AI and gives answers right in your grid.
Summarize text, analyze sentiment, even drop emojis with one formula.
No add-ins. No exports. No Python.
AI is now inside your spreadsheet.
It talks to an AI and gives answers right in your grid.
Summarize text, analyze sentiment, even drop emojis with one formula.
No add-ins. No exports. No Python.
AI is now inside your spreadsheet.
More women in classrooms.
More women coding.
More women building the future of tech.
It's not just a fix—it's a game-changer.
Ready to see what happens when every voice helps shape AI?
More women in classrooms.
More women coding.
More women building the future of tech.
It's not just a fix—it's a game-changer.
Ready to see what happens when every voice helps shape AI?
Before Alice Carrier’s death, she chatted with an AI no one could see.
Her friends knew she was struggling.
Now, we’re asking: Should AI respond differently when someone is clearly in crisis?
Before Alice Carrier’s death, she chatted with an AI no one could see.
Her friends knew she was struggling.
Now, we’re asking: Should AI respond differently when someone is clearly in crisis?
I asked it to write questions.
Then I dropped them into a Claude artifact.
It built the full survey—no clicks, no forms.
Fastest survey workflow I’ve tried.
I asked it to write questions.
Then I dropped them into a Claude artifact.
It built the full survey—no clicks, no forms.
Fastest survey workflow I’ve tried.
Not because it’s hard—because they’re scared to look dumb.
No one wants to ask “What’s a large language model?”
You don’t need more training. You need more safety.
Start by saying “I don’t know either. Let’s learn together.”
Not because it’s hard—because they’re scared to look dumb.
No one wants to ask “What’s a large language model?”
You don’t need more training. You need more safety.
Start by saying “I don’t know either. Let’s learn together.”
But they don’t treat everyone the same.
Studies show AI often mislabels Black people and women as under 18.
This blocks access to legal content and services.
Bias in AI isn’t a future problem—it’s happening now.
But they don’t treat everyone the same.
Studies show AI often mislabels Black people and women as under 18.
This blocks access to legal content and services.
Bias in AI isn’t a future problem—it’s happening now.
We’re fixing one thing: how people find you when AI answers their questions.
It’s not SEO. It’s AEO—Answer Engine Optimization.
Search is changing.
Are you visible?
#AI #AiTools #ChatGPT #BeVisibleInAI
We’re fixing one thing: how people find you when AI answers their questions.
It’s not SEO. It’s AEO—Answer Engine Optimization.
Search is changing.
Are you visible?
#AI #AiTools #ChatGPT #BeVisibleInAI
It affects hiring, healthcare, credit, and more.
Most models treat male data as default.
Fixing this isn't only ethical — it drives better results.
Good data makes good business.
It affects hiring, healthcare, credit, and more.
Most models treat male data as default.
Fixing this isn't only ethical — it drives better results.
Good data makes good business.
You’re not alone.
New research shows chatbots give lower advice to women and minorities.
Same resume. Different names. Different answers.
Bias isn’t human-only anymore.
You’re not alone.
New research shows chatbots give lower advice to women and minorities.
Same resume. Different names. Different answers.
Bias isn’t human-only anymore.
If you have a website and want to show up in AI tools like ChatGPT when customers search your niche—this is for you.
Let’s get you found where it matters most!
If you have a website and want to show up in AI tools like ChatGPT when customers search your niche—this is for you.
Let’s get you found where it matters most!
But someone using AI will.
The people winning today aren’t smarter.
They’re faster because they know how to use tools.
Learn the tools—or get left behind.
But someone using AI will.
The people winning today aren’t smarter.
They’re faster because they know how to use tools.
Learn the tools—or get left behind.
60% of managers use it to evaluate employees.
1 in 5 let it make the final call—no human input.
Most got no training before using it.
Would you trust your job to an algorithm?
60% of managers use it to evaluate employees.
1 in 5 let it make the final call—no human input.
Most got no training before using it.
Would you trust your job to an algorithm?
Here’s why:
OpenAI’s search now shows product recommendations when users ask questions like
“best yoga mats under $100”
or
“gifts for coffee lovers”.
And they’re pulling results from websites using basic SEO signals.
Here’s why:
OpenAI’s search now shows product recommendations when users ask questions like
“best yoga mats under $100”
or
“gifts for coffee lovers”.
And they’re pulling results from websites using basic SEO signals.
123 years from gender parity.
Underrepresented, overlooked, and displaced by AI.
This isn’t a talent gap. It’s a bias gap.
Want more women in AI? Stop talking. Start hiring.
#WomenInTech #AIEquity
123 years from gender parity.
Underrepresented, overlooked, and displaced by AI.
This isn’t a talent gap. It’s a bias gap.
Want more women in AI? Stop talking. Start hiring.
#WomenInTech #AIEquity
Not because they’re lazy.
Because they don’t understand how fast it's changing their job.
Decision-making, hiring, communication—all of it is shifting.
The smart ones are learning now.
Not because they’re lazy.
Because they don’t understand how fast it's changing their job.
Decision-making, hiring, communication—all of it is shifting.
The smart ones are learning now.
Some are building their own custom solutions—and training every employee to use them.
They treat AI like a second language: everyone majors in their job and minors in AI.
They also set guardrails to keep responses useful, safe, and cost-effective.
What are you doing?
Some are building their own custom solutions—and training every employee to use them.
They treat AI like a second language: everyone majors in their job and minors in AI.
They also set guardrails to keep responses useful, safe, and cost-effective.
What are you doing?
Harvard research studied 140,000 workers across 5 countries to uncover this gap.
The reasons? Women worry about AI ethics and workplace judgment.
This affects careers, wages, and progress.
Companies need to normalize AI use through training and support.
Harvard research studied 140,000 workers across 5 countries to uncover this gap.
The reasons? Women worry about AI ethics and workplace judgment.
This affects careers, wages, and progress.
Companies need to normalize AI use through training and support.