BREAKING: Salesforce's $200B company ran a 9-month AI experiment.

They gave AI agents access to their entire customer support, engineering, and sales.

Result: 1 million conversations. 360,000 hours saved.

But what Marc Benioff admitted on camera changed everything:

THREAD🧵 Marc Benioff promised 1 billion AI agents by year-end at Dreamforce.

Inside Salesforce right now: AI does 30-50% of work in engineering and support. 1,000+ jobs cut. No more coders hired.

This isn't a pilot. It's workforce replacement at scale.

Deloitte just made the biggest mistake of 2025:

AI wrote their $440,000 government report. Fabricated every source. Full refund.

But what they're hiding is far worse.

The internal document that exposes why every Big Four firm is secretly terrified: 🧵
July 2025: Deloitte's 237-page report goes public... Australia's Department of Employment and Workplace Relations.

The assignment: Review automated systems penalizing welfare recipients.

Contract value: $440,000.

Within weeks, the entire foundation would collapse.

BREAKING: JPMorgan Chase gave 200,000+ employees access to AI tools.

This was the world's largest AI experiment in history.

Result: 15+ million hours saved annually. $2+ billion in productivity gains.

But what they found hiding in the data changed everything:

A Thread 🧵
Jamie Dimon just revealed JPMorgan's AI strategy at the Data + AI Summit.

While most companies are still planning, JPMorgan has already deployed AI across 300,000 employees in 100 countries.

The scale is unprecedented.

Gratitude is one of the most ignored natural remedies on Earth.

Used right, it decreases depression symptoms by 35%, decreases stress, and improves sleep.

So, I started researching the science behind it...

What I discovered will blow your mind: 🧵 Most people think gratitude is just being "nice" or "positive."

But here's the science: Gratitude practice activates neural circuits linked to reward and trust, releasing dopamine and oxytocin.

These neurochemical shifts improve mood, reduce stress, and strengthen social bonds.

BREAKING: MIT just analyzed 300 AI deployments worth $40 billion & the results are devastating.

Turns out, 95% of enterprise AI projects deliver zero measurable business impact.

Here's what the data revealed:

(hint: the pattern matches every major technology bubble we've seen) The research findings are stark.

Despite $30-40 billion in enterprise AI investment, only 5% of companies are extracting millions in value.

The remaining 95% show no measurable P&L impact.

MIT's analysis reveals why this divide exists...

NVIDIA's CEO Jensen Huang just made the most important AI prediction of 2025.

In his new podcast, he revealed mind-blowing facts about AI that 99% of people wouldn't know...

Including why NVIDIA will become the first $10 trillion company.

Here are my top 8 takeaways: 🧵 1. The Three Scaling Laws That Change Everything

We now have three scaling laws, not one: pre-training, post-training, and inference scaling.

Jensen admitted: "I underestimated."

Inference demand isn't going 100x or 1,000x—it's going 1 billion times higher.

He predicted:

• The Deep Learning revolution (2008)
• The online education boom (2011)
• China's massive AI dominance (2014)

Now Andrew Ng revealed 5 opportunities that will create more millionaires than anything before.

Here's what you should know (& how to prepare): 🧵 First, his track record:

Ng built Google Brain. Co-founded Coursera. Led Baidu's AI.

He's trained 8 million students and has $370M backing his AI Fund.

When Ng makes predictions, Silicon Valley listens.

BREAKING: McKinsey just analyzed $600B+ in tech investments across 13 frontier sectors & the results are shocking.

Turns out, 78% of companies are using AI, but only 1% actually scaled it.

Here's what their data revealed:

(hint: we're measuring "AI adoption" completely wrong) Right now, the biggest tech revolution in history is happening in plain sight.

While everyone debates "AI adoption," a handful of companies are quietly doing something different.

They're fusing technologies together.

And it's creating an insurmountable advantage...

In 2024, OpenAI fired their youngest Superalignment researcher for asking too many questions.

He was 23 years old with 3 degrees and a terrifying secret about AI.

6 months later, his $1.5B fund is crushing Wall Street by 47%.

A thread about what he saw that others didn't... 🧵
Leopold Aschenbrenner entered Columbia University at age 15.

He graduated valedictorian at 19 with dual degrees in economics and mathematics-statistics.

OpenAI recruited him for their most sensitive project: controlling superintelligent AI systems.

3 out of 4 Americans are chronically dehydrated.

It's causing chronic fatigue, brain fog, and irritability.

Drinking 8 glasses of water isn't enough.

Here's how to properly hydrate (& how much water to actually drink each day): 🧵 First we have to understand how hydration works...

Everyone talks about "drinking 8 glasses" but no one knows what cellular hydration means.

It's not about water volume. It's about electrolyte balance.

Watch this video to learn in less than 50 seconds:

BREAKING: Norway's $2 trillion wealth fund ran a 12-month AI experiment.

They gave Claude access to their entire investment workflow.

Result: 213,000 hours saved. 20% productivity boost.

But what they found hiding in the data changed everything:

A Thread 🧵
Meet Nicolai Tangen, CEO of NBIM - the world's largest sovereign wealth fund.

700 employees managing $2 trillion in assets.

In 2022, he made a strategic decision that would reshape their entire operation.

But first, he had to address significant organizational resistance...

BREAKING: KPMG surveyed 48,000 people about AI trust and found something shocking.

The more people use AI, the LESS they trust it.

This has never happened in tech history.

Here's what 48,000 people revealed:

(hint: this crisis is accelerating faster than anyone predicted) AI adoption outpaces trust:

• 66% use AI regularly
• Only 46% trust it

This 20-point gap reveals a fundamental challenge: widespread usage without corresponding confidence in the technology.

BREAKING: MIT just figured out why LLMs keep giving inconsistent answers to the same questions.

They ignore information based on WHERE it appears, not what it says.

Here's what 4 months of data revealed:

(hint: the smarter the AI gets, the worse this bias becomes) MIT researchers identified a critical flaw in large language models that affects enterprise AI deployments.

"Position bias" - AI systematically ignores information based on location in documents.

This challenges basic assumptions about AI reliability.

AI bias is silently destroying your customer base.

Millions of decisions happen daily & executives don't even see it.

Here's what it is, why it's happening, & how to fix it (before it tanks your revenue): 🧵 The numbers are staggering.

36% of companies reported direct negative impacts from AI bias in 2024.

62% lost revenue. 61% lost customers.

But here's what most executives don't realize...

BREAKING: OpenAI researchers just proved why ChatGPT, Claude, and every AI model will NEVER stop hallucinating.

Turns out, every time we 'improve' AI performance, we're making the lying worse.

Here's what they discovered:

(hint: we've been measuring hallucination all wrong) OpenAI researchers asked DeepSeek-V3 a simple question: "What's Adam Kalai's birthday?"

The AI gave three different confident answers: "03-07", "15-06", and "01-01"

All wrong. Even when told to only answer if certain.

The result ↓

President Trump just hosted a tech dinner at the White House.

One by one, top Tech CEOs delivered Major Announcements — directly reporting to the American people.

Here’s everything you should know (and no joke, it gets crazier the further you read): 🧵 1/ Tim Cook (Apple):

$600 billion investment through 2028.

"We're very proud to do it... I want to thank you for setting the tone such that we could make a major investment in the United States."

Advanced manufacturing returning to America.

Steven Bartlett just had the world's top AI safety researcher on his podcast.

He revealed shocking truths about about super intelligence & what's really happening behind the scenes.

99% of people still don't know about any of this…

Here are 8 of his most shocking insights: 🧵 1. Mass Unemployment Arrives in Five Years:

Yampolskiy's stark timeline: "In 5 years, we're looking at unemployment levels we've never seen before. Not 10% but 99%."

The paradigm shift: "If ALL jobs will be automated, there is no plan B. You cannot retrain."

He predicted:

• AI vision breakthrough (1989)
• Neural network comeback (2006)
• Self-supervised learning revolution (2016)

Now Yann LeCun's 5 new predictions just convinced Zuckerberg to redirect Meta's entire $20B AI budget.

Here's what you should know (& how to prepare): @ylecun is Meta's Chief AI Scientist and Turing Award winner.

For 35 years, he's been right about every major AI breakthrough when everyone else was wrong.

He championed neural networks during the "AI winter."

But his new predictions are his boldest yet...

In 2021, he predicted the rise of:

• AI chatbots
• $100M training runs
• Chain-of-thought reasoning

All before ChatGPT even existed.

Presidents, AI leaders, and top experts listen when he speaks.

Now, Daniel Kokotajlo says these 5 AI trends will shape the next 100+ years:
First, his track record:

Kokotajlo studied AI timelines for years while working at OpenAI.

He predicted chatbot breakthroughs and massive training costs when most experts thought AGI was decades away.

Now, presidents and AI leaders treat his forecasts as required reading:

In 2021, he predicted the rise of:

• AI chatbots
• $100M training runs
• Chain-of-thought reasoning

Before ChatGPT got released.

Presidents, AI leaders, and top experts listen when he speaks.

Now, Daniel Kokotajlo says these 5 AI trends will shape the next 100+ years: 🧵
First, his track record:

Kokotajlo studied AI timelines for years while working at OpenAI.

He predicted chatbot breakthroughs and massive training costs when most experts thought AGI was decades away.

Now, presidents and AI leaders treat his forecasts as required reading:

BREAKING: MIT just analyzed 300 AI deployments worth $40 billion & the results are devastating.

Turns out, 95% of enterprise AI projects deliver zero measurable business impact.

Here's what the data revealed:

(hint: the pattern matches every major technology bubble we've seen) The research findings are stark.

Despite $30-40 billion in enterprise AI investment, only 5% of companies are extracting millions in value.

The remaining 95% show no measurable P&L impact.

MIT's analysis reveals why this divide exists...