are we f**k'd

OpenAI's Projected Losses and Revenue [00:19:54]

• OpenAI anticipates burning approximately $280 billion by 2030.
• This is despite projecting revenue to reach $350 billion by the same year.
• Expenses are expected to significantly outpace revenues.

  "Expenses will far outrun its revenues, which are projected to grow tenfold from $36 billion this year to $350 billion in 2030."

Anthropic IPO Delays and N-Scale Concerns [00:21:03]

• The delay in Anthropic's IPO may be linked to the current financial climate in AI.
• N-Scale's IPO is questioned due to its lack of secured financing for a $44.6 billion Anthropic deal.
• Concerns exist about N-Scale's ability to secure funding, potentially jeopardizing the Anthropic deal.

  "We have no plans to finance the $44 billion or we have no like commitment as to how we're going to end up financing $44.6 billion to commit to our Anthropic deal."

Model Compression and GPU Value [00:28:26]

• Model compression allows smaller AI models to run efficiently on older hardware.
• This increases the value and utility of existing GPUs, including older models.
• Both new and legacy chips are seeing increased value due to this trend.

  "So all of a sudden, the frontier goes from the old chip to the new chip. But then a new product comes around and the distilled frontier goes to work on the old chips."

NVIDIA's Dominance in AI Hardware [00:32:11]

• NVIDIA is identified as a key beneficiary of the AI hardware trend.
• Their GPUs are essential for training and running AI models, including those in robotics.
• The company benefits from both the training phase (Rubin chips) and on-device operation (Thor and Orin chips).

  "NVIDIA literally is the brain and the system that most of these robots operate on."

Robotics Supply Chain and Investment [00:34:00]

• NVIDIA is positioned to benefit from robotics workloads through training and edge computing chips.
• Other companies like Teradyne, Applied Materials, and ARM also have exposure to the robotics stack.
• Figure AI's humanoid robots are being trained using data from 90,000 humans, highlighting the importance of human-like interaction data.

  "What I think is fascinating is that apparently they are training 90,000 humans wearing like little head goggles or whatever, and they're collecting data from humans."

Tesla's Vertical Integration in AI [00:36:21]

• Tesla is pursuing vertical integration in AI development, including simulators and edge training.
• They aim to build their own AI infrastructure, potentially competing with NVIDIA.
• Despite killing Dojo, they are reportedly partnering with TSMC and Samsung for future AI chips.

  "Tesla is a diabolical vertical integration competitor."

Real Estate's Resilience Amidst AI [00:43:25]

• Real estate is expected to benefit from AI-driven deflation or market crashes.
• In both scenarios, mortgage rates are predicted to fall significantly, potentially below 2%.
• This makes real estate an attractive investment regardless of the AI market's trajectory.

  "Real estate wins in two ways. It doesn't feel like it wins right now. But if we end up having massive, massive artificial intelligence deflation... real estate is going to dominate in this regime."

Warren Buffett's Real Estate Investment [00:41:34]

• Warren Buffett's son, Greg Abel, oversaw the all-cash purchase of homebuilder Taylor Morrison.
• This move suggests a strategic shift or increased focus on the real estate sector within Berkshire Hathaway.
• The acquisition aligns with a potential bullish outlook on homebuilders.

  "One of the last things that Warren Buffett supposedly was still around for with Greg Abel was Greg Abel's purchase of an all-cash deal of Taylor Morrison."

Real Estate Shortage and Affordability [00:45:50]

• There is a significant shortage of new homes being built, exacerbated by high interest rates.
• This shortage is expected to drive up prices further when rates eventually decrease.
• The increasing unaffordability of housing is seen as a driver of the widening wealth gap.

  "The shortage for homes being built is literally just getting worse because rates are so high."

Meet Kevin App's Development and IPO Timeline [00:48:30]

• The Meet Kevin app has seen significant development, with new software products released.
• The company's IPO is tentatively targeted for 2028-2030, dependent on ARR growth.
• Future fundraising is anticipated, with a significant portion to be allocated to real estate development.

  "We started the company in 2022, and I guided, maybe we can IPO this puppy in 2028 to 2030."

Real Estate Depreciation and Sheltering Revenue [00:51:00]

• The company utilizes real estate depreciation to shelter software revenue.
• This strategy is particularly effective given the appreciation in property values.
• The focus is on acquiring fully rented, paid-off real estate with in-house property management.

  "We have to be careful with how you word this stuff because, you know, then you take out like convertible bond interest... You have like depreciation on real estate, which the homes have just appreciated in value, but we're still depreciating."

AI Spend and Economic Risks [00:41:00]

• A major risk is the potential collapse of AI spending if financing dries up.
• This could lead to companies failing to deliver products or train robots, impacting NVIDIA and compute providers.
• The circular financing model of AI development needs to remain robust.

  "The big risk is the AI spend collapses somehow, that people are selling bear pelts before they have the damn bear caught."

Robotics Progress and Market Sentiment [00:39:00]

• Figure AI's demonstration of humanoid robots performing tasks, even if slow, shows significant progress.
• This progress is expected to attract more investment into the robotics sector.
• The development is seen as a step change, fueling further innovation and hardware demand.

  "This makes me more optimistic. Do we have problems potentially in the economy? Of course."