The sale of TikTokβs US business was approved by both the US and Chinese governments. The asset was valued at $14B, with additional fees paid to the US government for brokering the deal.
Ownership after the transaction:
The company will be run by Adam Presser, currently deputy CEO of global TikTok.
Structurally, this resolves years of regulatory pressure. TikTokβs US operations now sit under American control, while the product and brand stay intact.
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β€10π3π2π’1
OpenAI CFO Sarah Friar said the company is exploring business models beyond subscriptions. The reason is cost. Compute spending keeps rising, and flat fees do not scale with outcomes.
What OpenAI is considering:
The second part is the shift. In some cases, OpenAI would take a share of intellectual property or future revenue. One example mentioned was drug discovery, where an AI-generated molecule could trigger a claim on patent value or sales.
This would not apply to regular users. The focus is enterprise contracts in areas like pharmaceuticals or energy, where AI output has direct commercial value.
The model moves OpenAI closer to revenue sharing based on results, not usage.
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β€10π3π―2
Value of $5,000 invested 15 years ago:
π± Nvidia: $1,650,000
π± Tesla: $1,455,844
π± Broadcom: $587,824
π± Lam: $222,916
π± Micron: $200,666
π± KLA: $179,635
π± ASML: $177,594
π± AMD: $168,521
π± Netflix: $159,942
π± Amazon: $132,339
π± Alphabet: $108,312
π± Apple: $107,320
π± Applied Mat: $106,372
Microsoft: $80,500
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Microsoft: $80,500
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β€26π3
This chart looks obvious in hindsight.
But living through it wasnβt easy.
Microsoft survived missed cycles, brutal bear markets, antitrust lawsuits, bad products, leadership changes, and years where the stock went nowhere.
Most investors wouldβve sold long before the payoff.
This is what real compounding actually looks like - slow, frustrating, boringβ¦ until suddenly it isnβt.
The question isnβt βcould you buy Microsoft?β
Itβs could you have held it?
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But living through it wasnβt easy.
Microsoft survived missed cycles, brutal bear markets, antitrust lawsuits, bad products, leadership changes, and years where the stock went nowhere.
Most investors wouldβve sold long before the payoff.
This is what real compounding actually looks like - slow, frustrating, boringβ¦ until suddenly it isnβt.
The question isnβt βcould you buy Microsoft?β
Itβs could you have held it?
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β€13π5π―1
βi have no faith in this company for good reason. anywaysβ¦.who would like to pay for it?β
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π20β€2
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Finding a high-paid job in the US now looks statistically brutal
π± The odds sit around 0.000029%, roughly 1 in 3,400,000. That is the implied probability based on current openings versus demand.
π± For context, becoming a unicorn company is estimated at about 0.00006%, or 1 in 1,700,000.
By the numbers, creating thousands of jobs is more likely than landing one of the top ones.
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By the numbers, creating thousands of jobs is more likely than landing one of the top ones.
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β€15π±4π2π2
"For quality of life, it is better to err on the side of being an optimist and wrong, rather than a pessimist and right"
- Elon Musk
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- Elon Musk
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β€26π3π―3
A short list of long-form conversations worth time. These are not news clips. Each one explains how people building AI think about risk, limits, and direction.
The godfather of neural networks reflects on AI safety and why he underestimated the risks early on.
A blunt take on how current AI can already replace a large share of white-collar work. Focus is on scale and near-term impact.
The Perplexity CEO talks about what intelligence actually means and how machines differ from humans. Less hype, more first principles.
A mathematician explains why large language models are simpler than they look, and why their effectiveness is still poorly understood.
One of the founders of modern AI explains why LLMs alone will not lead to AGI and where current approaches fall short.
Together, these interviews map the gap between what AI can already do and what it still cannot.
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β€24π3π―2π₯1π€1
It was first called Blue Ribbon Sports.
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β€25π₯7π5π2π―1
Jensen Huang shared a story at the World Economic Forum about a gift that became very expensive over time.
Huang joked that it was the most expensive car in the world.
His parents still own it.
His remaining Nvidia stake is now valued at roughly $123 billion.
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β€28π4π₯3π―1
AI hype ended up reshaping a national budget.
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β€23π2π1
Cheap access comes from sharing space rather than owning it.
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β€13π4π―4
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π±9β€8π€―6
Be Elon
π± Choose the hardest business on Earth: rockets
π± Start SpaceX
π± Join Tesla as a startup, take control, push out founders
π± Run both companies to the edge in 2008
π± Survive by one successful rocket launch that wins a ~$1.6B NASA contract
π± Figure out how to make rockets reusable
π± Launch a car into space. Because you can
π± Turn EVs from a joke into the worldβs most valuable car company
π± Buy Twitter for $44B. Save free speech on the internet
π± Fire most people
π± Rename it after the company you lost 25 years ago
π± Start an AI company to race the one you helped create
π± Run six companies. CEO of four at the same time
π± Decide saving humanity is a systems problem
π± And treat it like itβs your full-time job
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π₯34β€16π13π€9π1
Freight remains the entry point for autonomy at scale.
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β€14π8π₯4π’2
Independence over a premium check.
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β€18π14π―8π₯7
This is a bet against brute force scaling.
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β€28π₯11π8
Capital concentration around OpenAI keeps accelerating.
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β€23π18π₯16
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β€30π12π―12π€8