Mid-Career Pivot

This trailer is impressive, the editing and imagery is incredible. Done right, this is the vehicle that will convert people into the power of AI for storytelling. A powerful story is multi-generational, they endure and teach us so much about humanity and life. Great stories are not told by machines, they're told by humans and that's our superpower. When you combine human creativity with technology you unlock endless possibilities unimaginable. I predict with technology more storytellers will tell their story. The gate keepers of the past will no longer determine what stories get told and how. I hope more AI companies embrace the role of storytelling instead of the selling the tactical benefits of AI. I learned two key things in recruiting that still hold true today and even more so leveraging AI. 1. Ask great questions 2. Learn how to tell a great story This and more on my walk and chat below

Then internet DGAF 😂😂

@adeoressi @elonmusk Incredible story, you got to write a book abour that time

I organized an intervention to stop Elon from starting SpaceX. Here is the story... Twenty five years ago, Elon and I sat in a car on a dark stretch of Long Island highway, two neurodiverse geeks staring at the night sky and wondering what came next. We had both experienced substantial exits and felt the weight of possibility ahead of us. When I joked about 'space' while gazing upward, neither of us imagined we were planting the seed for what would become the largest IPO in history. We spent the next two hours debating why space was so hard. In the end, rockets are fuel and metal. We also debated where to go, and it was crystal clear that Mars was the only real destination. Upon returning to NYC, we embarked on a global tour of space, meeting space agencies and luminaries worldwide. This opened our eyes to an industry stuck in bureaucratic thinking. If things continued at that pace, it was clear that we would never explore space in our lifetime. So, we launched Life to Mars to show the world that two ambitious young men (29 and 30 years old), could send life to Mars without any government backing or support. We planned to send and grow plants on Mars, though some were pushing us to send mice. We had a $50 MM budget that rested on our purchase of two Russian ICBMs for $7 MM each. We assumed one ICBM would fail, and we would learn and fix everything before launching again. When Elon went back to actually buy the ICBMs, the Russians tripled the price, bringing out launch costs from a total of $14 MM to $42 MM. Our ambitious Life to Mars plan was no longer viable. As you might imagine, Elon was not pleased. So, he decided to start SpaceX and create his own Mars rockets. Now, this is a crazy idea, both now and at the time, so I organized a large panel of top space experts, and we ambushed him at the Georgian Hotel one morning. It was set up like an intervention for an alcoholic, but for space. Elon looked me in the eye when leaving the room and said, "I am going to do this." The intervention failed. Elon was committed. The rest is history. I am excited to see this IPO after 25 years of hard work. What SpaceX has done is a testament to human will and overcoming insurmountable obstacles. It's nothing short of amazing. Congratulations, E. Amazing.

@adeoressi @markpinc @elonmusk What would’ve the investment been worth today?

@markpinc @elonmusk We almost invested together into SpaceX when it was worth $1 B. I regret that falling through.

@mcuban @DrDiGiorgio Underpaid? That’s a stretch. Maybe some are more than others.

@DrDiGiorgio All doctors are underpaid.

This is objectively false. If I come in at 2am and do a craniectomy for traumatic brain injury, I would get paid more if I didn't bill for the surgery and just billed for the postoperative care instead. CMS has consistently reduced payment to surgeons relative to "thinking" specialties. And this is not an argument that "thinking" specialties deserve less money than "cutting" specialties. It's an argument that CMS central planning has unintended consequences.

@cptdankkk @theknowledge21 The earned media will be worth more than $30 million

@theknowledge21 the interview goes on to say he expects the UFC to lose $30 million for this event because of all the costs

Dana White breaks down the $60,000,000 cost of UFC at the White House “Well, we're building the claw itself that was built in Belgium, shipped to Philly, built and tested, then put on trucks and shipped to DC, stored it in a warehouse until we started building it” “Then you've got the cost of building an arena on the South Lawn of the White House. Then you talk about all the things we're doing at the Ellipse. The Zac Brown Band is playing over there” “We're doing a concert, more television. I mean, just the bathroom setups on the South Lawn of the White House are going to be like the bathrooms at the Bellagio” “So, as you look at all the different details that go into this, it's not cheap”

@CsTominaga @JoeConsorti Instant follow 👏🏾 thank you comments!

This is a charming little theory, mostly because it mistakes a spreadsheet coincidence for a capital-flow model. “AI market cap increased by $19 trillion” does not mean $19 trillion of cash was transferred into AI stocks. Market capitalisation is not a bank account. It is last price multiplied by shares outstanding. When Nvidia rises, nobody needs to gather the full increase in market cap from BTC holders in a wheelbarrow and deliver it to Nasdaq. That is the first error. The second is calling BTC “the most liquid risk asset on earth.” No. It is a risk asset, certainly. Liquid compared with many speculative tokens, yes. But compared with Treasuries, major FX, S&P futures, large-cap equities, or actual institutional funding markets, this is adorable. The third error is assuming that BTC is being “drained” to fund AI IPOs. That requires evidence of a flow channel: BTC sales, fiat conversion, capital migration, allocation into AI primary issuance, and enough scale to explain the price move. Otherwise it is just a bedtime story for people who discovered correlation and mistook it for causation. The fourth error is confusing public-market revaluation with IPO funding. AI market cap expansion is mostly repricing of existing listed firms, not fresh capital formation equal to the headline number. A stock going up does not mean the economy found new cash equal to the market-cap increase. It means the marginal buyer repriced future expectations. BTC is falling because marginal demand is weakening relative to marginal supply. ETF flows, leveraged positions, miner economics, treasury-company pressure, derivatives liquidations, liquidity withdrawal, and declining speculative appetite are all actual mechanisms. “AI got big” is not a mechanism. It is a slogan wearing a calculator. The phrase “13x the size of Bitcoin” is not analysis either. It merely compares two market capitalisations as though size alone explains capital movement. By that logic, every large asset class should constantly drain every smaller one. Strangely, reality declines the invitation. If BTC were truly the superior reserve asset its promoters claim, AI investment would not drain it. Capital would use BTC as collateral, settlement, treasury reserve, or transactional infrastructure. Instead, when productive opportunities appear elsewhere, capital leaves the speculative shrine and goes looking for cash flows. That is the part being avoided. AI equities at least claim earnings, infrastructure demand, productivity effects, enterprise adoption, and future revenue. Whether overvalued or not, there is a business model underneath the froth. BTC offers the hope that someone later pays more for the same inert object. So no, BTC is not crashing because AI created “$19 trillion” and sucked the money out through a golden straw. BTC is falling because its marginal buyer is weakening, its leveraged structure is fragile, its institutional wrappers are procyclical, and its economic utility has not matched the narrative sold around it. A market cap comparison is not economics. It is numerology with better lighting.

Bitcoin isn't crashing below $60k because Saylor sold 32 BTC. It's crashing because $19 trillion of new AI market cap got created in 12 months... 13x the size of Bitcoin. The most liquid risk asset on earth is being drained to fund the biggest IPO cycle since 2000.

@Pirat_Nation They are all trying to make you dependent on their models for everything.

Microsoft is facing backlash after a leaked internal document reportedly included the phrase “Make people addicted” as part of a strategy for an AI assistant project. According to the report, the document outlined plans to build habits around the product and increase daily reliance on it. After the leak became public, Microsoft CEO Satya Nadella pushed back, saying that making users addicted is “absolutely a non goal” and adding, “Not sure what this document is or who is writing and leaking this nonsense!” The document reportedly identified its authors, adding to the backlash

@creativeburne What’s he talking about prices have come down in some markets especially inflated markets with spikes in population have been clawed back

Grant Cardone says anyone who's waiting for housing prices to come down is a clown "it ain't coming down...you guys are clowns you acting like house clowns...40% of all the homes in America are paid for in cash" "65% have debt under 4% for 27 years that means for 27 years the guy's got a loan that expires in 2052...so that's how long you're waiting" "in 2008 the collapse happened because there was so much debt...that's not happening this time"

@prairieinvest And now it looks tacky

One day, you’re one of the biggest companies in Canada. Next thing you know, you’re reduced to a display rack inside Canadian Tire

@jenzhuscott No one is taking their time to do proper product development, PMF, user testing their just shipping and see what sticks. There is no audience just hype

Massive output uptick due to agentic AI. Complete flat adoption.

@DanielSmidstrup @aiameagle 👏🏾👏🏾 execution > ideas

@aiameagle Well then, that is kind of a baseline. That idea is just ideas, what gets rewarded is repeated execution.

I need a cool startup name that sounds like it just raised $100M.🤔

@DanielSmidstrup It’s staring you in the face Strup or Dstrup

The Canadian government is sending money to help people buy groceries today. 🇨🇦 A family of four earning $40,000 gets $533. Groceries in Canada will cost a family of four $17,571 this year. $533 does not touch that. And if you earn above $56,000 you do not even get it. Too rich to qualify. Too stretched to be comfortable. That gap is where most Canadians live.

@bruce_mcgonigal Water and land

🇨🇦🧠🦅💰 : Mark Carney says Canada will build new data centers in full partnership with indigenous peoples. Why would Canada need to do that? Are indigenous people now Ai & data storage experts compared to the general population? This limits who can get contracts for building and maintaining these data centers, by using indigenous contracts as gatekeepers. This is designed to prevent most Canadians from being able to apply for a data center contracts.

@icreatelife Is Sr AI Evanglist a legit title at Adobe or is this just a public facing title that better describes your role there? It’s a bad ass title if legit. I have so many questions

Strangers are future friends. I want to get to know you and commit to responding to every comment here even if you are a bot and even if it takes me 10 years to respond. I’ll start. I am Kris. My dream is to meet each person here in real life and that AI is used for creativity and only good things by all.

@PsudoMike This great, thanks for putting together. I think you could do article on this with more details as it unfolds. You’re right most people are reading the wrong thing.

1/6 Canada just launched its national AI Strategy: AI For All. Most people are reading this as a political announcement. Smart businesses are reading it as a budget document. Here is what is actually in it for you:

NO cheating, post your last saved image without any context 💀💀

Walked almost 20KM today a total of 28, 574 steps. A month ago I could hardly walk 3,000 steps a day. One step at a time!

@InTheAssembly I almost went all in on her fund when it was around $30, it would’ve actually made me money so I guess it depends when you bought

Cathie Wood might be the most expensive lesson retail investors have ever paid for. Her flagship ARK Innovation ETF is down 23% in the last 5 years. The S&P 500 is up 77% over the same period. She has underperformed the index by 100 percentage points. And she has done it while collecting BILLIONS in management fees. A quick reminder of the highlight reel: – She predicted Tesla would hit $3,000 per share by 2025. It is currently $432. – She predicted Tesla revenue would hit $234 to $367 billion in 2025. The actual number came in under $100 billion. – She made Teladoc her single largest position around $80 per share. It trades at $7 today. – She loaded up on Zoom near $300. It trades at $110. – She dumped almost her entire Nvidia position in January 2023 around $20 per share. Nvidia is now at $220, which means she sold the single greatest stock of this generation right before it 10x’d. Morningstar officially labeled the ARK family of funds a “value destroyer,” noting that her funds lost roughly $14 billion in shareholder value from 2014 to 2024. But here’s the part nobody talks about: ARK Investment Management has been one of the most profitable asset managers of the last decade. Wood has personally made tens of millions in fees while her investors have collectively lost real money. This is the part of Wall Street most retail investors do not understand. You’re not paying for performance, you’re paying for marketing. The people who win are the ones running the fund, not the ones holding it. This Friday, May 15, every fund managing over $100 million is legally required to disclose their Q1 2026 trades to the SEC. We will be breaking down EVERY major filing right here the moment they drop. Follow us with notifications before it’s too late. If you don’t follow us, you might regret it.

@jozecuervo @icreatelife No way Jose 😂😂😂

@icreatelife Limited cognitive and computational resources under vastly differentiated sensibilities and fragmented consensus.

What is the main problem do you have right now as an AI creator?