Karl Mehta Profile picture
Sep 4 13 tweets 5 min read Read on X
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: 🧵 Image
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."
2. AI Represents the "Last Invention" Humanity Will Make:

Unlike previous technologies, AI creates inventors, not just tools.

"We're inventing a replacement for the human mind. It's the last invention we ever have to make."

At that point, it takes over all future innovation.
3. OpenAI Abandoned Their Safety Team:

The company cancelled their superintelligence alignment team six months after announcing it.

Their safety approach: "We'll figure it out when we get there, or AI will help us control more advanced AI."

Yampolskiy's response: "That's insane."
4. AI Companies Violated Every Safety Guideline:

"A decade ago we published guardrails for AI development. They violated every single one."

Current safety measures are temporary patches that people "quickly find ways to work around."

The gap between capability and safety keeps widening.
5. Sam Altman Is Building a Control System:

It's not just AI. WorldCoin scans biometrics and controls money distribution.

"If you have a superintelligence system and you control money, you're doing well."

Yampolskiy's assessment: "He's gambling 8 billion lives on getting richer and more powerful."
6. You Cannot "Turn Off" Advanced AI:

The "just unplug it" crowd misunderstands distributed systems.

"Can you turn off Bitcoin? These are distributed systems. They're smarter than you. They will turn you off before you can turn them off."

Physical switches become irrelevant.
7. This Is Unethical Human Experimentation:

"To get consent, you need people to comprehend what they're consenting to. If systems are unexplainable and unpredictable, how can they consent?"

Eight billion people affected. No proper informed consent obtained.
8. Biological Weapons Become Accessible:

AI will help create novel viruses before we even reach superintelligence.

"There are psychopaths, terrorists, doomsday cults who would do that gladly if they get the technology."

Mass extinction tools become democratized.
Yampolskiy's warnings reveal something crucial:

The biggest risk isn't just uncontrolled superintelligence.

It's deploying AI systems today without proper validation or governance.

While AI companies rush to market, the smartest enterprises are quietly doing something different...
They're implementing systematic AI model validation and governance frameworks.

They know that in a world where AI decisions affect hiring, healthcare, and compliance, trust isn't optional.

It's competitive advantage.

The companies that survive won't just have the best AI...
They'll have AI that can be trusted, explained, and validated at every step.

Are you an Enterprise Leader looking to validate and govern your AI models at scale?

provides the model validation, governance, and transparency tools you need.

Get your audit:TrustModel.ai
Thanks for reading.

If you enjoyed this post, follow @karlmehta for more content on AI and politics.

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More from @karlmehta

Sep 3
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): Image
@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...
1. "Nobody in their right mind will use autoregressive LLMs a few years from now."

The technology powering ChatGPT and GPT-4? Dead within years.

The problem isn't fixable with more data or compute. It's architectural.

Here's where it gets interesting...
Read 18 tweets
Aug 31
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: Image
Image
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:
"Recursive Self-Improvement"

Daniel predicts that by 2027, AI systems will become better at AI research than humans.

This creates a feedback loop where each generation of AI builds a more capable successor.

Progress accelerates from years to months to weeks.
Read 18 tweets
Aug 30
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: 🧵 Image
Image
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:
1/ The Feedback Loop

AI will become better at improving AI itself.

The timeline is staggering: Each new AI generation will create its successor in months, not years.

By 2027, what used to take decades happens in weeks.

And it's already starting:
Read 17 tweets
Aug 28
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) Image
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... Image
The research team conducted 150 executive interviews, surveyed 350 employees, and analyzed 300 public AI implementations.

Their conclusion challenges conventional wisdom about AI failures.

This isn't a technology problem—it's a strategic implementation gap. Image
Read 18 tweets
Aug 26
Fasting is one of the most powerful bio hacks on Earth.

It changes your entire mental, physical, and emotional state while melting fat and cleaning up the cells in your body.

Here's how to perform a fast correctly (according to science): 🧵 Image
Image
Most people think fasting is just starvation or a fad diet.

But here's the science: A 48-hour fast increases growth hormone by 500% and activates autophagy, your cellular cleanup system.

These changes begin at hour 16 and rival expensive longevity treatments.
Image
The mechanism is simple:

Fasting depletes glucose stores → triggers ketone production → activates AMPK pathway → switches on autophagy genes → cells start recycling damaged proteins and organelles.

Your body literally reprograms itself for cellular renewal.

Now, here's how to implement it correctly:
Read 13 tweets
Aug 23
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): 🧵 Image
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.
1/ Agentic AI beats scaling models

The agentic AI market explodes from $5.1B to $69B by 2032.

That's 13x growth in 7 years.

Meanwhile, everyone's chasing bigger models that cost billions.

Ng proved something revolutionary:
Read 15 tweets

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