Kevin Liu

Business Strategist | Neuroscience & Behavioral Science Enthusiast | Elevating Leadership & Decision-Making | Sharing Bite-Sized Wisdom |

[Lorwen Harris Nagle, PhD @LORWEN108]

A Stanford neuroscientist warns high cortisol wrecks memory, enlarges your fear center, and make your brain feel broken.

If I wanted to fix it naturally, I'd do these 8 things every day:

1. Walk barefoot on grass for 5–7 minutes.

[Ricardo @Ric_RTP]

Microsoft just banned its own engineers from using AI.

The tool was literally costing MORE than the humans it was supposed to replace.

They lied to you about AI adoption and now the whole narrative is blowing up:

Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.

Engineers loved it and adoption exploded. But then the invoices arrived.

Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.

The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.

Uber's story is even worse...

Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.

Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.

Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.

The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.

Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:

"For my team, the cost of compute is far beyond the costs of the employees."

This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.

Think about what this means for the entire AI narrative.

Every CEO on every earnings call for the past two years has said the same thing:

AI will make us more efficient, reduce headcount, and cut costs.

The stock market rewarded every company that said it.

Fired workers, stock goes up. Announced AI adoption, stock goes up.

But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.

Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.

Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.

Both companies are spending hundreds of billions on AI infrastructure this year alone.

And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.

The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.

This is the gap nobody on Wall Street is pricing in.

$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.

What do you think?

[Evan Luthra @EvanLuthra]

🚨THE FBI CREATED A FAKE CRYPTOCURRENCY.. LISTED IT ON UNISWAP.. HIRED MARKET MAKERS TO PUMP IT.. THEN ARRESTED EVERYONE WHO SAID YES..

THIS IS THE CRAZIEST LAW ENFORCEMENT OPERATION IN CRYPTO HISTORY!!!

The FBI built an actual ERC-20 token on Ethereum called NexFundAI.. 100 billion token supply.. A professional website.. Whitepapers promising "passive income through AI-powered investing"..

It looked exactly like every other crypto project.. Because that was the point..

Undercover agents posed as the founding team.. Then reached out to professional market-making firms and said "we need you to fake our trading volume"..

Every single firm said yes..

Here's what they recorded..

Gotbit.. A firm run by a 26-year-old Russian who publicly bragged in 2019 that he built a business faking trade volumes.. His team kept internal spreadsheets with columns literally labeled "fake volume" vs "market volume"..

When asked how fast they could pump NexFundAI's volume to $1 million per day.. They said "6 hours.. It will cost about $200"..

$200 to fake $1 million in daily trading volume..

MyTrade.. Run by a guy who called himself "the mastermind".. He explained the exact psychology of the scam on camera..

"We make the chart look like a really nice roller coaster ride.. That's where people jump in.. We have to make them lose money in order to make profit"..

He said that on a recorded FBI video call..

CLS Global.. A Dubai-based firm.. Their bots generated 98% of NexFundAI's total trading volume.. When the FBI asked if they could sync fake volume spikes with fake news announcements.. They said absolutely..

ZM Quant.. Bots executing 10 to 20 trades per minute through dozens of wallets to look organic..

All of them knew it was fraud.. All of them did it anyway.. All of it was recorded..

And the clients were even worse..

Saitama.. A meme coin that hit $7.5 billion market cap.. The founders coordinated buys through private Telegram chats.. Sent "pump it" memes while manipulating the price.. Then dumped on retail investors..

$7.5 billion.. Built entirely on fake volume.. Every penny of real money came from retail investors who thought the momentum was organic..

One founder left Saitama and started Robo Inu.. Used Gotbit again.. Another launched VZZN.. Same playbook..

Lillian Finance.. Founder claimed to be a defense contractor who addressed Congress.. Marketed the token as funding children's hospitals.. Pocketed everything..

When the FBI shut it down.. They seized $25 million in one day.. 18 people indicted across the US, UK, and Portugal.. The CEO of Gotbit was arrested in Portugal and extradited.. Sentenced to 8 months plus $23 million forfeiture..

But here's the part that broke my brain..

Real people bought NexFundAI..

The FBI's fake token.. With zero utility.. Zero real developers.. Created solely to catch criminals.. Attracted real retail investors because the fake volume made the chart look bullish..

When the FBI pulled the liquidity to end the operation.. Those people lost real money.. On a government-issued token..

The FBI had to set up a restitution portal to pay them back..

And it gets worse..

Within 24 hours of the DOJ announcing the sting.. Someone cloned the FBI's exact smart contract.. Launched a copycat token.. Rode the viral momentum.. And made $127,000 in a single day..

Using the exact same manipulation tactics the FBI just arrested 18 people for..

Then in 2026.. The FBI did it again.. New token called Lexobit.. 10 more arrests.. Including operators extradited from Singapore..

IRS forensics showed that in one firm's trading.. 1,209 out of 1,221 consecutive transactions went straight back to wallets the firm controlled.. 99% circular..

The FBI proved what everyone in crypto suspected..

The volume is fake.. The charts are painted.. The momentum is manufactured..

And every time you buy a token because "the chart looks bullish".. You might be the exit liquidity.

[Kevin Liu @CognitiveBiz]

@Lucky13irteen Ah man, tough break. Don't beat yourself up too much every single one of us in the trenches has been caught on the wrong side of a trade like this. Dust yourself off and clear your head. You lived to trade another day, and that's what matters. We’ll catch the next one! 🌊📉

[Kevin Liu @CognitiveBiz]

@Lucky13irteen Gm 13, how’s it going?

[Kevin Liu @CognitiveBiz]

@Lucky13irteen $10k is highly significant seed money. With strict risk management and the mechanics of compound interest, that amount is more than enough to actively build a robust portfolio. Respecting every dollar is rule number one for building and keeping real wealth! 💼🚀

[13 @Lucky13irteen]

Somebody once told this regarding trading: “it’s not about your time in the market, it’s about your timing in the market.”

That statement didn’t really make much sense to me at the time but I’ve come to realize it’s some of the best advice I’ve ever received so maybe it’ll help somebody else as well!

Basically it means you should be calculated with your approach and prioritize TIMING the market (good entries and exits) and knowing when a breakout is about to happen rather than identifying once it’s already broken out higher.

Doing so means you’re prepared rather than being reactive. And being reactive leads to buying tops or selling bottoms which we don’t want.

Finding it just before the breakout comes from experience and understanding general price action/overall market trend.

Somebody can be invested for 3 years and lose their entire investment, whereas somebody that was invested in the exact same coin for 15 minutes ended up tripling their money and got out in time.

Thats the difference between time in the market and timing the market.

There’s my Ted talk for the day 💀

[Kevin Liu @CognitiveBiz]

This breakdown is solid, but there’s one big thing missing—AI isn’t neutral. It doesn’t think for itself; it learns from data, and that means it picks up biases, blind spots, and all kinds of hidden flaws. The way it makes decisions is only as good as the data it’s fed.

[Synoptic Questioning Framework @ProblemSolvae]

AI vs. Human Intelligence – The Battle You’re Not Paying Attention To

Most people fear AI taking jobs. The real problem? AI is changing the way we think.

📌 AI gives instant answers – but does that mean we’re questioning less?

Contd.

[Oliver Tran @psychwizxp]

If you're watching this and you've not tried out SQF you're missing.
One of my professors recommended it and so far it's been my go to tool for critical thinking, bias identification, multi dimensional thinking.... Among other things.

[Oliver Tran @psychwizxp]

Your brain is not a storage unit—it’s a pattern recognition machine. Train it wisely with spaced repetition, active recall, and strategic questioning. The right brain hacks turn forgetting into mastery.
So how do you train your brain?

[Dr. Fatima Khan @cortexxplorer]

Which ones comes earliest?

Advanced AGI
Quantum Computing
Brain-Computer Interfaces
Nanotechnology
Autonomous Systems
Genetic Engineering
Fusion Power
Immersive VR/AR
Space Colonization
Ethical AI Governance

What do you think?

[Dr. Mark Guttberg @brainymarkG]

AI is not just about automation—it’s about augmentation. The real breakthrough lies in how we integrate human cognition with machine intelligence to enhance problem-solving, creativity, and decision-making. The future isn’t AI vs. humans; it’s AI + humans.

[Dr. Mark Guttberg @brainymarkG]

Great visualisation. AI augmented reasoning is going to explode in the coming decade.

[Dr. Leo Foster @NeuroFoster]

Challenging cognitive biases is essential for objective decision-making. Great reminder to question our thought patterns! #BiasFreeDecisions #InnovativeLeadership

[Dr. Leo Foster @NeuroFoster]

New studies show multidimensional brain models & NeuroAI could unlock AI breakthroughs! Can’t wait to see how this shapes smarter tech & deeper understanding of us in the future. 🧠🚀 #Neuroscience #FutureTech

[Sarah Mitchell @sarahbizhack]

Great marketing is all about asking the right questions. Tools like @ProblemSolvae helps marketers analyze data, challenge assumptions, and uncover new angles for better decision-making.
I wanted to share this with everyone.

[Sarah Mitchell @sarahbizhack]

This frees marketers from mundane tasks, letting them focus on big-picture creativity and strategy. In 2025, as data privacy laws grow stricter and consumers demand more transparency, AI’s ability to deliver value while respecting boundaries—like anonymizing data

contd

[Sarah Mitchell @sarahbizhack]

AI is reshaping marketing in profound ways by leveraging its ability to process massive datasets and adapt in real-time, offering businesses unprecedented opportunities to connect with their audiences. It personalizes experiences by analyzing individual behaviors,

contd.