WEBVTT - Part Two: NVIDIA Isn't Enron - So What Is It?

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<v Speaker 1>Zone Media. Hello on welcomes a better offline. I'm at Zeitron,

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<v Speaker 1>and I'm nothing like Enron. Now. This is the second

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<v Speaker 1>episode in the Nvidia Enron series. And to give you

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<v Speaker 1>a recap, a few weeks ago a document from Nvidia

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<v Speaker 1>leaked where the company denied that it was anything like

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<v Speaker 1>Enron at all. But what was Enron? Now? Some of

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<v Speaker 1>you might know this, some of you might not, but

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<v Speaker 1>I think it's time to remind everyone what Enron was

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<v Speaker 1>and what Enron did and why Enron was So I

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<v Speaker 1>don't know if we should say special, but it sure

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<v Speaker 1>was Enron. Now, the collapse of Enron wasn't just in retrospect,

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<v Speaker 1>a large business that ultimately failed. If that's all it was,

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<v Speaker 1>it wouldn't come on the same space in our heads

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<v Speaker 1>as other failures like WorldCom or Nortel, which I'll actually

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<v Speaker 1>get to later talked about WorldCom line episode, both of

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<v Speaker 1>whom were similarly considered giants in their fields. By the way,

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<v Speaker 1>it's also not just about the fact that Enron failed

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<v Speaker 1>because had proven business and accounting fraud. World comm entered

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<v Speaker 1>bankruptcy due to similar circumstances, though, rather than being liquidated,

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<v Speaker 1>and this is kind of a mind fuck, so forgive me.

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<v Speaker 1>It was the quietest part of Verizon's acquisition of MCI,

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<v Speaker 1>the name of a company that had previously merged with WorldCom,

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<v Speaker 1>that WorldCom renamed itself to after bankruptcy. This era sucked,

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<v Speaker 1>and unlike Enron, WorldCom isn't the subject of multiple films

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<v Speaker 1>and even a Broadway production. And my editor saw the

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<v Speaker 1>UK tour of that and apparently it was pretty good,

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<v Speaker 1>you asked Matt Hughes, if you want to know more.

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<v Speaker 1>And it's also not the size of Enron that made

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<v Speaker 1>its downfall so intriguing, nor, for that matter, is it

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<v Speaker 1>the fact that Enron did a lot of legally and

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<v Speaker 1>ethically dubious stuff to bring about its downfall. No, what

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<v Speaker 1>makes Enron special is the sheer gravity of its fuckery,

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<v Speaker 1>the rotten culture at the heart of the company that

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<v Speaker 1>encouraged said malfeasance, and the creative ways Enron's leaders crafted

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<v Speaker 1>an image of success around what was at its heart

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<v Speaker 1>a big, fat dog of a company. Enron was born

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<v Speaker 1>in nineteen eighty five out on the foundations of two older,

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<v Speaker 1>much less interesting businesses. The first, Houston Natural Gas HG,

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<v Speaker 1>started life as a utility provider bumping natural gas from

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<v Speaker 1>the oil fields of Texas to customers throughout the region,

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<v Speaker 1>before later exiting the industry to focus on other opportunities.

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<v Speaker 1>The other Inter North, was based in Omaha, Nebraska, and

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<v Speaker 1>was in the same business pipelines. In the mid nineteen eighties,

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<v Speaker 1>H ANDNG was the subject of a hostile takeoff from

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<v Speaker 1>Coastal Corporation, which until two thousand and one operated a

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<v Speaker 1>chain of refineries and gas stations throughout much of the

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<v Speaker 1>US mainland. Unable to fend it off by itself, h

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<v Speaker 1>ANDNG merged with inter North, with the combined corporation renamed Enron.

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<v Speaker 1>The CEO of this new entity was called Ken Lay,

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<v Speaker 1>an economist by trade who spent most of his career

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<v Speaker 1>in the energy sector, who also enjoyed deep political connections

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<v Speaker 1>with the Bush family. He co chaired George H. W.

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<v Speaker 1>Bush's failed nineteen ninety two re election campaign and allowed

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<v Speaker 1>Enron's corporate jet to Ferry Bush Senior and Barbara Bush

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<v Speaker 1>back and forth. To Washington Center for Public Integrity director

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<v Speaker 1>Charles Lewis said that there was and I quote no

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<v Speaker 1>company in America closer to George W. Bush than Enron.

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<v Speaker 1>George W. Bush, and I mean the second one even

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<v Speaker 1>had a nickname for Lay Kenny Boy. Anyway, in nineteen

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<v Speaker 1>eighty seven, Enron hired McKinsey, the world's most evil management

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<v Speaker 1>consultancy firm, to help the company create a futures market

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<v Speaker 1>for natural gas. Well that means isn't particularly important to

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<v Speaker 1>the story, but essentially, a futures contract is where a

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<v Speaker 1>company agrees to buy or sell an assair in the

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<v Speaker 1>future at a fixed price. It's a way of hedging

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<v Speaker 1>against risk, whether that be from something like price or

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<v Speaker 1>currency fluctuations, or from default. If you're buying oil in dollars,

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<v Speaker 1>for example, buying a futures contract for oil to be

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<v Speaker 1>delivered in six months time at a predetermined price means

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<v Speaker 1>that if your currency weakens against the dollar, your costs

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<v Speaker 1>won't spiral. That bit isn't terribly important. What does matter

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<v Speaker 1>is while working with McKinsey, Lay met someone named Jess Skilling,

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<v Speaker 1>a young engineer turned consultant who impressed the company's CEO deeply,

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<v Speaker 1>so much so that Ley decided to poach him from

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<v Speaker 1>McKinsey in nineteen ninety and give him the role of

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<v Speaker 1>chairman and CEO of Enron. Finance Group. Oh. By the way,

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<v Speaker 1>Enron had a bunch of subsidiaries and some had their

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<v Speaker 1>own CEOs and boards. I mentioned this because he may

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<v Speaker 1>be a bit confused, as Lay was CEO of Nron

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<v Speaker 1>and Skilling was CEO of Nron Finance Group. In essence,

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<v Speaker 1>it's a bit like how Sam Altman is CEO of

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<v Speaker 1>open Ai and Fijisimo as the CEO of Applications. That

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<v Speaker 1>bit isn't important, but I just want to be as

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<v Speaker 1>explicit as possible. I don't think open Ai is Enron either,

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<v Speaker 1>at least I hope. Anyway, Skilling continued to impress Lay,

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<v Speaker 1>who gave him greater and greater responsibility, eventually crowning him

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<v Speaker 1>chief operating Officer of Enron itself. With Skilling in a

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<v Speaker 1>key leadership position who was able to shape the organization's culture,

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<v Speaker 1>He appreciated those who took risks, even if those risks,

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<v Speaker 1>when viewed with impartialized were deemed reckless or even criminal.

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<v Speaker 1>He introduced the practice of stack ranking, also known as

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<v Speaker 1>rank and yank, to Enron, which had previously been pioneer

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<v Speaker 1>by Jack Welcher General Electric. And you should listen to

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<v Speaker 1>the shareholder supremacy from last year. If you want to

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<v Speaker 1>hear what I think about that redacted guy here. Employees

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<v Speaker 1>were graded on a scale, and those at the bottom

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<v Speaker 1>of the scale were terminated. Managers had to place at

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<v Speaker 1>least ten percent. Other reports stay closer to fifteen percent

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<v Speaker 1>of employees in the lowest bracket, which created an almost

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<v Speaker 1>Darwinian culture and a drive to succeed that matched him.

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<v Speaker 1>Staffers were brutal hours, they cut corners, They did some

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<v Speaker 1>really really dodgy shit. None of this bothered skilling in

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<v Speaker 1>the slightest. Now you might be asking how dodgy ed well.

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<v Speaker 1>In two thousand and two thousand and one, California suffered

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<v Speaker 1>a series of electricity blackouts. This shouldn't have happened. California's

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<v Speaker 1>total energy demand at the time was twenty eight gigawats

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<v Speaker 1>and its production capacity was forty five gigawats. California also

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<v Speaker 1>shares a transmission grid with other states and for what

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<v Speaker 1>it's worth, the Canadian provinces of Alberta and British Columbia,

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<v Speaker 1>as well as part of Baja California in Mexico, meaning

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<v Speaker 1>that in the event of a shortage, it could simply

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<v Speaker 1>draw capacity from elsewhere. There's plenty to go around. Did

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<v Speaker 1>that happen? Well? Remember, Enron traded electricity like a commodity,

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<v Speaker 1>and as a result, it was incentivized to get the

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<v Speaker 1>highest possible price for that commodity, so it took power

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<v Speaker 1>plants offline during peak hours and exported power to other

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<v Speaker 1>states where there was real domestic demand. But how does

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<v Speaker 1>a company like Enron shut down a power station? Simple,

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<v Speaker 1>it just asked. In one taped phone conversation released after

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<v Speaker 1>the company's collapse, an Enron employee called Bill called an

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<v Speaker 1>official at a Las Vegas power company California shares the

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<v Speaker 1>same grip with Nevada, and asked him to and I quote,

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<v Speaker 1>get a little creative and come up with a reason

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<v Speaker 1>to go down. Anything you want to do over there,

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<v Speaker 1>any cleaning, anything like that. Very cool. The power crisis

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<v Speaker 1>had dramatic consequences for the people of California, who faced

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<v Speaker 1>power outages and price hikes, for Governor Gray Davis, who

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<v Speaker 1>was recalled by voters and later replaced by Arnold Schwarzenegger,

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<v Speaker 1>for PG and E, which entered Chapter eleven bankruptcy that year,

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<v Speaker 1>and for Southern California Edison, which was pushed at the

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<v Speaker 1>brink of bankkruptcies result. This kind of stuff could only

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<v Speaker 1>happen in an organization whose culture actively rewarded being a

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<v Speaker 1>fucking asshole. In fact, Skilling was seemingly determined to elevate

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<v Speaker 1>the dodgiest of characters to the highest positions within the company,

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<v Speaker 1>and few more more ethically dubious than Andy Fastau, who's

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<v Speaker 1>Skilling mentored like a protege, and who would later become

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<v Speaker 1>Enron's chief financial officer. And you gotta wonder how did

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<v Speaker 1>the CFO hired by Jeff Skilling do well? Even before

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<v Speaker 1>vaulting to the top of Enron's nasty little empire, fast

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<v Speaker 1>I was able to shape its accounting practices, with the

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<v Speaker 1>company adopting mark to market accounting practices in nineteen ninety one. Now,

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<v Speaker 1>mark to market sounds complicated, but it's actually real simple.

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<v Speaker 1>When listing assets on a balance sheet, you don't use

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<v Speaker 1>the acquisition cost like how you paid for him, but

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<v Speaker 1>rather the fair market value of an asset. So if

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<v Speaker 1>I buy a baseball card for a dollar and I

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<v Speaker 1>see that it's currently selling for ten bucks on eBay,

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<v Speaker 1>I'd say that asset is worth ten bucks, not the

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<v Speaker 1>dollar I paid for him, even though I haven't actually

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<v Speaker 1>sold it yet, nor do I not if anyone's interested. Now,

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<v Speaker 1>this sounds simple, maybe even reasonable, But the problem is

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<v Speaker 1>that the way you determine the value of an asset matters,

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<v Speaker 1>and marked to market accounting allows companies and individuals to

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<v Speaker 1>exercise some what's the word creativity. Sure, for publicly traded companies,

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<v Speaker 1>where the price of a share is verifiable and open knowledge,

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<v Speaker 1>it's not too bad. But for assets with limited liquidity,

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<v Speaker 1>limited buyers, or where the process to be engineered somehow,

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<v Speaker 1>you have a lot of latitude for fraud. Now, let's

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<v Speaker 1>go back to that baseball card example. How do you

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<v Speaker 1>know it's actually worth ten bucks and not one dollar?

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<v Speaker 1>What is the fair value of something you can't check

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<v Speaker 1>on any babe, what somebody told me in person it's worth.

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<v Speaker 1>What's to stop me from lying in saying that the

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<v Speaker 1>card is worth a one hundred dollars or one thousand dollars, Well,

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<v Speaker 1>other than the fact that I'd be committing fraud. Now,

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<v Speaker 1>what if I have ten one dollar baseball cards and

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<v Speaker 1>I give my friend ten dollars, and I tell him

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<v Speaker 1>by one of my baseball cards using that ten dollar

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<v Speaker 1>bill that I just handed him, and allows me to

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<v Speaker 1>say that I've now realized a nine dollar profit on

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<v Speaker 1>one of my one dollar baseball cards, and my other

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<v Speaker 1>cards are now because I just did that worth ninety

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<v Speaker 1>dollars and not nine dollars. Now, what if I use

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<v Speaker 1>that valuation, that phone evaluation of my remaining cards to

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<v Speaker 1>get a fifty dollar loan using those cards as collateral,

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<v Speaker 1>even though the collateral itself isn't worth even one fifth

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<v Speaker 1>of the value of the loan. You get the idea. Well,

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<v Speaker 1>A lot of things people can do to alter the

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<v Speaker 1>marked to market value of an asset ah illegal and

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<v Speaker 1>would be covered under generic fraud laws. It doesn't change

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<v Speaker 1>the fact that marked to market accounting allows for some

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<v Speaker 1>shenanigans to take place. Another trait of marked to market accounting,

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<v Speaker 1>as employed by Enron is that it would count all

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<v Speaker 1>the long term potential revenue for a deal as quarterly revenue,

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<v Speaker 1>even if that revenue would be delivered over the course

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<v Speaker 1>of a decades long contra or if the contract would

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<v Speaker 1>be terminated before its intended expiration DAME. It would also

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<v Speaker 1>realize potential revenue as actual revenue even before money changed

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<v Speaker 1>hands and when the conclusion of the deal wasn't a certainty.

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<v Speaker 1>For example, in nineteen ninety nine, Enron sold a stake

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<v Speaker 1>in four different electricity generating barges in Nigeria. They're basically

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<v Speaker 1>floating power stations, sold and sold it to Merrill Lynch,

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<v Speaker 1>which allowed the company to register twelve million dollars in profit.

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<v Speaker 1>One little problem that sale didn't actually happen, though that

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<v Speaker 1>didn't stop Enron from selling pieces to Meyal Lynch, which

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<v Speaker 1>I'm not kidding. Merril Lynch then sold to a special

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<v Speaker 1>purpose vehicle called LJM two. You'll never guess who owned that.

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<v Speaker 1>It was controlled by Andrew Fastau. Yep, remember that guy.

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<v Speaker 1>You're gonna hear that name again. Although the Meryl Lynch

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<v Speaker 1>bankers who participated in the deal were eventually convicted of

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<v Speaker 1>fraud and conspiracy charges long after the collapse of Enron.

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<v Speaker 1>Of course, the convictions were later questioned on appeal, Thank

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<v Speaker 1>you government, but still, for a moment, gave a jolt

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<v Speaker 1>to Enron's quarterly earnings. Anyway, Enron was incredibly creative when

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<v Speaker 1>it came to how it valued assets. Take, for example,

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<v Speaker 1>fiber optic cables. As the dot com bubble swelled, Enron

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<v Speaker 1>saw an opportunity and wanted to be able to trade

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<v Speaker 1>and control the supply of bandwidth, just like it did

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<v Speaker 1>with other more conventional commodities like oil and gas. It built, bought,

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<v Speaker 1>and leased fiber optic cables throughout the country, and then,

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<v Speaker 1>using exaggerated estimates of their value and potential long term revenue,

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<v Speaker 1>released glowing financial reports that made the company look a

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<v Speaker 1>lot more healthy and successful than it actually was. Whatever

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<v Speaker 1>would be quick digression here. One of the funniest ironies

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<v Speaker 1>of Enron is that it was in many ways ahead

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<v Speaker 1>of its time, when most people were still connecting to

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<v Speaker 1>the Internet through screeching fifty six K dial up modems.

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<v Speaker 1>It saw a future in edge and cloud computing, even

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<v Speaker 1>if said terms didn't exist at the time, and streaming

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<v Speaker 1>video here's a funny one. In two thousand, it entered

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<v Speaker 1>into a twenty year deal with Blockbuster Video to allow

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<v Speaker 1>customers to stream films and TV shows through Enron's fiber network,

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<v Speaker 1>something that would take at Netflix and other decade to

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<v Speaker 1>realize as a product now. There wasn't really much of

0:12:03.760 --> 0:12:06.199
<v Speaker 1>a market for at the time because broadbam was pretty

0:12:06.320 --> 0:12:10.200
<v Speaker 1>rare back then, nor was it necessarily technologically possible. But

0:12:10.240 --> 0:12:13.040
<v Speaker 1>it was such a fun idea. People really liked it.

0:12:13.040 --> 0:12:15.360
<v Speaker 1>It was a good idea. Everyone wanted it to happen.

0:12:15.440 --> 0:12:18.360
<v Speaker 1>Not really though, Anyway. The deal collapsed after a year,

0:12:18.840 --> 0:12:21.440
<v Speaker 1>but that didn't stop Enron's creative accountants from booking the

0:12:21.440 --> 0:12:24.280
<v Speaker 1>deal based on its projective future revenue as a profitable

0:12:24.400 --> 0:12:27.640
<v Speaker 1>venture mark to market accounting. Baby, you gotta love it.

0:12:27.679 --> 0:12:30.000
<v Speaker 1>We love it, don't we, folks? All right, I'll stop

0:12:30.000 --> 0:12:32.680
<v Speaker 1>doing the impression. Still, it's hilarious to think about a

0:12:32.679 --> 0:12:35.160
<v Speaker 1>future world in which Blockbuster and Enron stuck it out

0:12:35.200 --> 0:12:36.959
<v Speaker 1>and the former didn't collapse. Around the time of the

0:12:36.960 --> 0:12:42.040
<v Speaker 1>global financial crisis, Enron also loved making special purpose vehicles

0:12:42.040 --> 0:12:45.000
<v Speaker 1>that existed either to generate revenue that didn't exist or

0:12:45.040 --> 0:12:47.680
<v Speaker 1>to hold toxic assets that would otherwise need to be disclosed,

0:12:47.720 --> 0:12:50.720
<v Speaker 1>with Enron then using its holdings insid entities to boost

0:12:50.720 --> 0:12:54.480
<v Speaker 1>its balance sheet. One White Wing was created and capitalized

0:12:54.480 --> 0:12:57.680
<v Speaker 1>by Enron hand an outside investor, and pretty much exclusively

0:12:57.720 --> 0:13:00.520
<v Speaker 1>bought assets from Enron, which allowed the company to recognized

0:13:00.520 --> 0:13:02.640
<v Speaker 1>sales and profits on its balance sheets even when they

0:13:02.679 --> 0:13:07.160
<v Speaker 1>were fundamentally contrived. Another set of entities known as LJM,

0:13:07.280 --> 0:13:09.760
<v Speaker 1>named after the first initial of Andy Fasthou's wife and

0:13:09.800 --> 0:13:12.840
<v Speaker 1>two children, which I mentioned earlier, did the same thing,

0:13:13.160 --> 0:13:16.040
<v Speaker 1>allowing the company to hide risky or failing investments, to

0:13:16.120 --> 0:13:20.439
<v Speaker 1>limit its perceived debt, and to generate artificial profits and revenues.

0:13:20.800 --> 0:13:23.920
<v Speaker 1>LJM two was creatively the second version of this idea.

0:13:24.559 --> 0:13:28.000
<v Speaker 1>Even though the assets that LJM held were ultimately dog shared,

0:13:28.080 --> 0:13:31.640
<v Speaker 1>the distance that LJM provided, combined with Enron's use of

0:13:31.679 --> 0:13:34.040
<v Speaker 1>marked to market accounting, allowed the company to turn a

0:13:34.120 --> 0:13:37.040
<v Speaker 1>multi billion collective failure into a resounding and on paper

0:13:37.080 --> 0:13:40.640
<v Speaker 1>profitable triumph. So how did this happen? How did it

0:13:40.640 --> 0:13:43.840
<v Speaker 1>go on for so long? Well? First, Enron was that

0:13:43.880 --> 0:13:46.680
<v Speaker 1>it is peak worth seventy billion dollars. Its fail would

0:13:46.679 --> 0:13:49.240
<v Speaker 1>be a failure for its investors in shareholders and nobody

0:13:49.360 --> 0:13:52.120
<v Speaker 1>besides the press that is wanted to ask tough questions

0:13:52.520 --> 0:13:55.560
<v Speaker 1>remember when they did that. Anyway, he had auditors, but

0:13:55.559 --> 0:13:57.559
<v Speaker 1>they were paid handsomely, turning a blind eye to the

0:13:57.600 --> 0:14:01.120
<v Speaker 1>criminal malfeasans at the heart of Enron to Arthur Anderson

0:14:01.200 --> 0:14:03.880
<v Speaker 1>surrendered its license in two thousand and two, bringing an

0:14:03.960 --> 0:14:06.480
<v Speaker 1>end to the company and resulting in eighty five thousand

0:14:06.480 --> 0:14:12.560
<v Speaker 1>employees losing their jobs. Well, look, it's not so much.

0:14:12.600 --> 0:14:15.440
<v Speaker 1>It only turned a blind eye as much as it

0:14:15.480 --> 0:14:19.440
<v Speaker 1>turned on a big paper shredder treading tons. And I'm

0:14:19.560 --> 0:14:22.880
<v Speaker 1>actually being literal. That's a measure of weight and not

0:14:23.080 --> 0:14:26.440
<v Speaker 1>figuratively of documents as Enron started to implode, a crime

0:14:26.440 --> 0:14:29.920
<v Speaker 1>for which it was later convicted of obstruction of justice.

0:14:29.960 --> 0:14:33.000
<v Speaker 1>But I've already talked about Enron's culture. But I'd be

0:14:33.080 --> 0:14:35.520
<v Speaker 1>remiss if I didn't mention that Enron's highest performers and

0:14:35.560 --> 0:14:39.520
<v Speaker 1>its leadership received hefty bonuses in company equity, motivating them

0:14:39.520 --> 0:14:42.680
<v Speaker 1>to keep the charade going. Mron's pension scheme I had

0:14:42.760 --> 0:14:46.440
<v Speaker 1>was basically entirely Enron stock, and employees were regularly encouraged

0:14:46.480 --> 0:14:48.960
<v Speaker 1>to buy more, with Kenneth Lay telling employees weeks before

0:14:48.960 --> 0:14:53.120
<v Speaker 1>the company's collapse that and I quote the company is

0:14:53.200 --> 0:14:56.960
<v Speaker 1>fundamentally sound and that they should hang on to their stock.

0:14:58.240 --> 0:15:01.160
<v Speaker 1>VIDID did use the word fundamentally. They used that, but

0:15:01.280 --> 0:15:04.480
<v Speaker 1>it's not in videos, not Enron. It's not. It's really different.

0:15:04.480 --> 0:15:06.400
<v Speaker 1>They're not doing this. I swear to God, I just

0:15:06.680 --> 0:15:11.560
<v Speaker 1>don't love the language anyway. Additionally, by the terms of

0:15:11.560 --> 0:15:14.320
<v Speaker 1>the Enron pension plan, employees were prevented from shifting their

0:15:14.320 --> 0:15:17.200
<v Speaker 1>holdings into other pension funds or other investments until they

0:15:17.200 --> 0:15:21.000
<v Speaker 1>turned fifty. When the company collapsed, those people lost everything,

0:15:21.080 --> 0:15:24.480
<v Speaker 1>even those who didn't know about Enron's criminality. George Maddock's,

0:15:24.520 --> 0:15:27.760
<v Speaker 1>a retired former Enron employee, had his entire retirement tied

0:15:27.800 --> 0:15:30.160
<v Speaker 1>up in fourteen thousand Enron shares, worth at the time

0:15:30.200 --> 0:15:33.240
<v Speaker 1>more than one point three million dollars. He was forced

0:15:33.280 --> 0:15:35.520
<v Speaker 1>to spend his golden years making ends meet by bowing

0:15:35.560 --> 0:15:38.160
<v Speaker 1>pastures and living in a run down East Texas farmhouse.

0:15:39.080 --> 0:15:42.800
<v Speaker 1>The US government brought criminal charges against Enron's top leadership.

0:15:43.280 --> 0:15:45.440
<v Speaker 1>Ken Lay was convicted of four counts of fraud and

0:15:45.480 --> 0:15:48.200
<v Speaker 1>making false statements, but died on a skiing vacation to

0:15:48.280 --> 0:15:52.240
<v Speaker 1>Aspen before sentencing. May he burn in Hell? Maybe Ronald

0:15:52.280 --> 0:15:54.080
<v Speaker 1>Reagan and him could get in the hot tub together,

0:15:54.200 --> 0:15:56.520
<v Speaker 1>the hot tub scot lava in him not feeling particularly

0:15:56.520 --> 0:15:59.480
<v Speaker 1>creative on that one anyway. Jeff Skilling was convicted of

0:15:59.480 --> 0:16:02.240
<v Speaker 1>twenty four n fraud and conspiracy and sentenced to twenty

0:16:02.240 --> 0:16:05.160
<v Speaker 1>four years in jail. This was of course reduced in

0:16:05.200 --> 0:16:07.720
<v Speaker 1>twenty thirteen on appeal to fourteen years, and he was

0:16:07.760 --> 0:16:09.760
<v Speaker 1>released to a half way house in twenty eighteen and

0:16:09.800 --> 0:16:13.400
<v Speaker 1>then freed in twenty nineteen. He's since then tried to

0:16:13.560 --> 0:16:16.680
<v Speaker 1>re enter the energy sector with one venture combining energy

0:16:16.680 --> 0:16:20.240
<v Speaker 1>trading and I kid you not blockchain technology, although nothing

0:16:20.280 --> 0:16:23.480
<v Speaker 1>really came of him. I want to take this moment

0:16:23.840 --> 0:16:26.200
<v Speaker 1>to give a big shout out to Quartz, which, when

0:16:26.240 --> 0:16:29.240
<v Speaker 1>covering Skillings attempt to come back, had this opening line

0:16:29.280 --> 0:16:31.680
<v Speaker 1>and I quote Jeffrey Skilling, those are a thing or

0:16:31.720 --> 0:16:34.960
<v Speaker 1>two of our blocks and chains. Woo get his ass.

0:16:36.040 --> 0:16:39.000
<v Speaker 1>Andy Fastau pled guilty to two counts, one of manipulation

0:16:39.080 --> 0:16:41.880
<v Speaker 1>of financial statements and one of self dealing, and received

0:16:41.920 --> 0:16:45.600
<v Speaker 1>ten years in prison. This was has ever later reduced

0:16:45.600 --> 0:16:47.840
<v Speaker 1>to six years, including two years of probation, in part

0:16:47.840 --> 0:16:52.240
<v Speaker 1>Becsey cooperated with the investigations against other Enron executives. He's

0:16:52.280 --> 0:16:54.320
<v Speaker 1>now a public speaker and a tech investor in a

0:16:54.400 --> 0:16:59.080
<v Speaker 1>company and AI company called Keene Corp. His wife, Leah,

0:16:59.080 --> 0:17:01.440
<v Speaker 1>who also worked at en On, received twelve months for

0:17:01.480 --> 0:17:03.960
<v Speaker 1>conspiracy to commit wire fraud and money laundering and for

0:17:04.000 --> 0:17:07.200
<v Speaker 1>submitting false tax returns. She was released from custody in

0:17:07.240 --> 0:17:11.240
<v Speaker 1>two thousand and five. Enron's implosion was entirely self inflicted

0:17:11.280 --> 0:17:15.400
<v Speaker 1>and horrifyingly painfully criminal. Yet it had plenty of collateral

0:17:15.440 --> 0:17:18.159
<v Speaker 1>damage to the US economy, to those companies that lent

0:17:18.280 --> 0:17:20.359
<v Speaker 1>him money, to its employees who lost their jobs and

0:17:20.400 --> 0:17:23.120
<v Speaker 1>their life savings and their retirements, and to those employees

0:17:23.119 --> 0:17:25.320
<v Speaker 1>that the companies most intangled with Enron, like those that

0:17:25.400 --> 0:17:29.880
<v Speaker 1>ausering firm Arthur Anderson. This isn't unique among corporate failures.

0:17:30.000 --> 0:17:33.959
<v Speaker 1>WelCom had some dodgy accounting practices. Nortel too. Both companies failed,

0:17:34.000 --> 0:17:36.480
<v Speaker 1>Both companies wrecked the lives of their employees, and these

0:17:36.480 --> 0:17:41.000
<v Speaker 1>failures had systemic economic consequences, especially in Canada, where Nortel

0:17:41.080 --> 0:17:43.159
<v Speaker 1>had its peak accounted for one third of the market

0:17:43.160 --> 0:17:46.359
<v Speaker 1>cap of all companies in the Toronto Stock Exchange. The

0:17:46.400 --> 0:17:49.440
<v Speaker 1>reason why Enron remains captured in our imagination and why

0:17:49.560 --> 0:17:52.760
<v Speaker 1>Nvidia is so vociferously opposed to being compared to him,

0:17:53.119 --> 0:17:55.520
<v Speaker 1>is the extent to which Enron and manipulated reality to

0:17:55.520 --> 0:17:57.840
<v Speaker 1>appear stronger and more successful than it was, and how

0:17:57.840 --> 0:17:59.879
<v Speaker 1>long it was able to get away with him. We

0:18:00.119 --> 0:18:02.320
<v Speaker 1>may have forgotten the memory of Enron. It happened over

0:18:02.359 --> 0:18:05.400
<v Speaker 1>two decades ago. After all, we haven't forgotten the instincts

0:18:05.400 --> 0:18:07.240
<v Speaker 1>that it gave us. It's why on those is twitch

0:18:07.280 --> 0:18:10.159
<v Speaker 1>when we see special purpose vehicles being used to buy GPUs,

0:18:10.280 --> 0:18:13.280
<v Speaker 1>and while we gag when we see mark to market accounting.

0:18:14.280 --> 0:18:17.520
<v Speaker 1>It's entirely possible. I genuinely believe this, that everything in

0:18:17.640 --> 0:18:22.760
<v Speaker 1>Video is doing is above board. Really it's great. Doesn't

0:18:22.760 --> 0:18:24.879
<v Speaker 1>do anything to help the deep pit of dread in

0:18:24.960 --> 0:18:43.720
<v Speaker 1>my stomach, though. Now let's remind ourselves of watching video

0:18:43.880 --> 0:18:46.600
<v Speaker 1>Is It's a company that previously focused on gaming or

0:18:46.680 --> 0:18:50.040
<v Speaker 1>into GPUs graphics processing units, but thanks to a stroke

0:18:50.119 --> 0:18:52.359
<v Speaker 1>of forethought, managed to be the company that sells the

0:18:52.359 --> 0:18:56.000
<v Speaker 1>shovels for the current AI bubble. It's data center. GPUs

0:18:56.040 --> 0:18:58.639
<v Speaker 1>are expensive. They all rely on a technology that in

0:18:58.720 --> 0:19:01.760
<v Speaker 1>Video created two decades ago called Kuda, which no other

0:19:01.800 --> 0:19:04.080
<v Speaker 1>competitor has an alternative to, or at least one with

0:19:04.160 --> 0:19:07.600
<v Speaker 1>the maturity and depth and functionality, and no other company

0:19:07.600 --> 0:19:10.200
<v Speaker 1>shares its focus on this arena, at least not one

0:19:10.200 --> 0:19:13.280
<v Speaker 1>with its history. These gps are expensive, and thanks to

0:19:13.359 --> 0:19:16.640
<v Speaker 1>Nvidia's near monopoly status, it's seen its share price growth

0:19:16.640 --> 0:19:19.639
<v Speaker 1>by over three hundred and fifty percent at the time

0:19:19.720 --> 0:19:22.199
<v Speaker 1>of writing in the past five years. It's now the

0:19:22.200 --> 0:19:24.960
<v Speaker 1>most valuable company in the world by market capitalization, and

0:19:25.000 --> 0:19:28.760
<v Speaker 1>it's insanely, insanely profitable. If you're looking at this through

0:19:28.800 --> 0:19:31.879
<v Speaker 1>the cold, unthinking lens of late stage capitalism, this all

0:19:31.920 --> 0:19:34.919
<v Speaker 1>sounds really good. I've basically described a company that has

0:19:34.920 --> 0:19:37.080
<v Speaker 1>an essential monopoly and the one thing required for a

0:19:37.200 --> 0:19:40.840
<v Speaker 1>high growth if we're talking exclusively about capex spending industry

0:19:40.840 --> 0:19:44.320
<v Speaker 1>to ever exist. Moreover, that monopoly is all but assured

0:19:44.359 --> 0:19:47.560
<v Speaker 1>thanks to Invidia's Kuda mote, its first move for advantage,

0:19:47.560 --> 0:19:51.160
<v Speaker 1>and its actual capacities and capabilities of the products itself,

0:19:51.280 --> 0:19:54.120
<v Speaker 1>on top of the massive shipping and hardware operation at Bill,

0:19:54.400 --> 0:19:56.639
<v Speaker 1>thereby allowing the company to charge a pretty penny to

0:19:56.680 --> 0:20:01.040
<v Speaker 1>its customers. And those customers, well, if we've temporarily forget

0:20:01.040 --> 0:20:03.240
<v Speaker 1>about the likes of Nebuus and Core, we even how

0:20:03.320 --> 0:20:05.880
<v Speaker 1>I wish I could forget about Core, we've permanently we're

0:20:05.880 --> 0:20:08.119
<v Speaker 1>talking about the biggest companies on the planet, ones that

0:20:08.359 --> 0:20:11.520
<v Speaker 1>surely will have no problems paying their bills. But my

0:20:11.640 --> 0:20:17.320
<v Speaker 1>worry is a little simpler and more direct, because I'm

0:20:17.359 --> 0:20:21.560
<v Speaker 1>worried about the certainty that these purchases are being made

0:20:21.600 --> 0:20:24.800
<v Speaker 1>for the right or most prudent of reasons. Back in

0:20:24.840 --> 0:20:27.560
<v Speaker 1>February twenty twenty three, I put out the rot economy

0:20:27.600 --> 0:20:30.359
<v Speaker 1>and how everything in tech has become oriented around growth

0:20:30.400 --> 0:20:33.720
<v Speaker 1>at all cost, even if it meant making products harder

0:20:33.760 --> 0:20:36.240
<v Speaker 1>to use as a means of increasing user engagement or

0:20:36.280 --> 0:20:39.320
<v Speaker 1>funneling them towards more profitable parts of an app. Back

0:20:39.320 --> 0:20:41.280
<v Speaker 1>in June twenty twenty four, I wrote and did an

0:20:41.320 --> 0:20:43.800
<v Speaker 1>episode about the rock Com bubble and my greater theory

0:20:43.840 --> 0:20:46.640
<v Speaker 1>that the tech industry has run out of hypergrowth ideas.

0:20:47.080 --> 0:20:50.480
<v Speaker 1>In simple terms, big Tech, Amazon, Google, Microsoft, and Meta,

0:20:50.640 --> 0:20:53.159
<v Speaker 1>but also a number of other companies no longer have

0:20:53.280 --> 0:20:55.919
<v Speaker 1>a next big thing and jumped on AI out of

0:20:55.920 --> 0:20:59.800
<v Speaker 1>an abundance of desperation. Shit. Look at Oracle. This company's

0:20:59.800 --> 0:21:03.000
<v Speaker 1>start off by selling databases and ERP systems to big

0:21:03.040 --> 0:21:05.760
<v Speaker 1>companies and then trapping said companies by making it really

0:21:05.760 --> 0:21:08.119
<v Speaker 1>really difficult to migrate to cheaper and better solutions, and

0:21:08.119 --> 0:21:11.159
<v Speaker 1>then bleeding said companies with ownerous licensing terms, including some

0:21:11.240 --> 0:21:13.439
<v Speaker 1>where you're paid by the number of CPU cours that

0:21:13.440 --> 0:21:16.719
<v Speaker 1>you use the application. Fucking Oracle. It doesn't do anything

0:21:16.760 --> 0:21:20.240
<v Speaker 1>new or exciting or impressive, and even with when presented

0:21:20.280 --> 0:21:22.719
<v Speaker 1>with the opportunity to do things that are useful or

0:21:22.160 --> 0:21:25.640
<v Speaker 1>in innovative, like when it bought some microsystems, it turns away.

0:21:25.880 --> 0:21:28.840
<v Speaker 1>I imagine that deep down Oracle recognizes that its current

0:21:29.000 --> 0:21:32.280
<v Speaker 1>model just isn't viable long term, and so it needed

0:21:32.280 --> 0:21:37.360
<v Speaker 1>something else. When you haven't thought about innovation, ever, it's

0:21:37.400 --> 0:21:40.520
<v Speaker 1>kind of hard to start, and thus generative AI probably

0:21:40.560 --> 0:21:43.680
<v Speaker 1>seemed like a godsend to Larry Ellison, who founded Oracle

0:21:43.720 --> 0:21:46.719
<v Speaker 1>and despite not being CEO, still creeps around the building

0:21:46.800 --> 0:21:50.400
<v Speaker 1>like the Grinch. I'll get to Oracle in a bit.

0:21:50.480 --> 0:21:53.000
<v Speaker 1>But we also live in an era where nobody knows

0:21:53.000 --> 0:21:56.240
<v Speaker 1>what big tech CEOs actually do other than make nearly

0:21:56.240 --> 0:21:59.399
<v Speaker 1>one hundred million dollars a year, meaning that somebody like

0:21:59.480 --> 0:22:02.159
<v Speaker 1>Satching the Dell can get called a thoughtful leader with

0:22:02.240 --> 0:22:06.280
<v Speaker 1>striking humility for pushing co pilot AI up every asshole

0:22:06.280 --> 0:22:10.280
<v Speaker 1>in Microsoft's product experience, even notepad a place that no

0:22:10.440 --> 0:22:13.840
<v Speaker 1>human being would want it and accelerating capital expenditures and

0:22:13.880 --> 0:22:16.520
<v Speaker 1>twenty eight billion dollars across the entirety of fiscal year

0:22:16.560 --> 0:22:19.200
<v Speaker 1>twenty twenty three to thirty four point nine billion dollars

0:22:19.240 --> 0:22:23.400
<v Speaker 1>in its last quarter in simpler terms, spending money makes

0:22:23.440 --> 0:22:25.760
<v Speaker 1>the CEO look busy, and at a time when there

0:22:25.800 --> 0:22:28.960
<v Speaker 1>were no other potential growth avenues left, AI was a

0:22:29.000 --> 0:22:32.680
<v Speaker 1>convenient way to make everybody look busy. Every department can

0:22:32.720 --> 0:22:35.560
<v Speaker 1>have an AI strategy, and every useless fucking manager and

0:22:35.640 --> 0:22:39.439
<v Speaker 1>executive can yell a service. Now CEO Bill McDermott did

0:22:39.480 --> 0:22:41.840
<v Speaker 1>back in twenty twenty two. Let me make it clear

0:22:41.840 --> 0:22:46.919
<v Speaker 1>to everybody here, everything you do AIAIAIAI AI. That's a

0:22:47.119 --> 0:22:50.640
<v Speaker 1>real goddamn quote. I should also add that chat GPT

0:22:50.800 --> 0:22:53.360
<v Speaker 1>was the first real meaningful hit that the American tech

0:22:53.359 --> 0:22:56.040
<v Speaker 1>industry has produced in a long long time, the last

0:22:56.280 --> 0:22:59.000
<v Speaker 1>being if I'm honest, Uber, and that's if we allow

0:22:59.119 --> 0:23:02.439
<v Speaker 1>successful yet not particularly good businesses into the pile. I

0:23:02.480 --> 0:23:04.840
<v Speaker 1>guess you could say Instagram Stories, but that was ripped

0:23:04.840 --> 0:23:10.360
<v Speaker 1>off from TikTok. No sorry, Snapchat Christ they nicked reels

0:23:10.359 --> 0:23:15.040
<v Speaker 1>from TikTok. I hate this fucking industry. Now. Look, if

0:23:15.040 --> 0:23:17.199
<v Speaker 1>we're assholes about it and we insist on things like

0:23:17.240 --> 0:23:22.680
<v Speaker 1>profitability and sustainability, US tech hasn't done so great. Snowflake

0:23:22.760 --> 0:23:24.480
<v Speaker 1>runs at a loss, Snap runs at a loss, and

0:23:24.480 --> 0:23:27.159
<v Speaker 1>while Uber's turned things around, somewhat. It hardly created the

0:23:27.160 --> 0:23:31.800
<v Speaker 1>next cloud computing or smartphone industry. Putting aside finances, the

0:23:31.920 --> 0:23:34.840
<v Speaker 1>last major hit was probably Vemo or zell and maybe

0:23:34.840 --> 0:23:38.159
<v Speaker 1>if I'm feeling generous, smart speakers like Amazon Echo or

0:23:38.200 --> 0:23:41.359
<v Speaker 1>Apple home Pod, but those I think, I think Echo

0:23:41.400 --> 0:23:44.800
<v Speaker 1>and Alexa has lost Amazon billions much like Uber. None

0:23:44.840 --> 0:23:46.480
<v Speaker 1>of these were the next big thing, which would be

0:23:46.560 --> 0:23:49.160
<v Speaker 1>fine except big tech needs more growth forever right now,

0:23:49.200 --> 0:23:52.040
<v Speaker 1>you pig. To be clear, I'm not saying there's been

0:23:52.080 --> 0:23:55.200
<v Speaker 1>no innovation, just nothing at the scale of smartphones and

0:23:55.240 --> 0:23:59.080
<v Speaker 1>cloud computing. This is why Google, Amazon, and Meta all

0:23:59.080 --> 0:24:02.200
<v Speaker 1>do twenty different things, although rarely for any length of time,

0:24:02.280 --> 0:24:04.720
<v Speaker 1>with these things often having a shelf life shorter than

0:24:04.840 --> 0:24:07.920
<v Speaker 1>strawberries left on your counter. Because the rot economy's growth

0:24:07.960 --> 0:24:10.600
<v Speaker 1>at all costs mindset exists only to please the markets

0:24:10.760 --> 0:24:14.879
<v Speaker 1>and the market's demand growth. Chat GBT was different. Not

0:24:14.920 --> 0:24:17.280
<v Speaker 1>only did it do something new, it also did it

0:24:17.320 --> 0:24:19.160
<v Speaker 1>in a way that was relatively easy to get people

0:24:19.200 --> 0:24:21.920
<v Speaker 1>to try and see the potential of. It was also

0:24:21.960 --> 0:24:24.359
<v Speaker 1>really easy to convince people that would become something bigger

0:24:24.359 --> 0:24:28.159
<v Speaker 1>and better, because that's what tech does. To quote Bender

0:24:28.160 --> 0:24:31.040
<v Speaker 1>and Hannah Ai, is a marketing term, a squishy way

0:24:31.040 --> 0:24:34.119
<v Speaker 1>of evoking futuristic visions of autonomous computers that could do

0:24:34.160 --> 0:24:36.960
<v Speaker 1>anything and everything for us. And because both customers and

0:24:37.000 --> 0:24:39.480
<v Speaker 1>analysts have been primed to believe in trust the tech industry,

0:24:39.680 --> 0:24:42.359
<v Speaker 1>everybody believed that whatever chat GBT was would be the

0:24:42.400 --> 0:24:45.280
<v Speaker 1>next big thing, and said next big thing was powered

0:24:45.320 --> 0:24:48.200
<v Speaker 1>by large language models which required GPU sold by one

0:24:48.200 --> 0:24:52.600
<v Speaker 1>goddamn company in video. AI became a very useful thing

0:24:52.640 --> 0:24:55.119
<v Speaker 1>to do. If a company wanted to seem futuristic and

0:24:55.160 --> 0:24:58.639
<v Speaker 1>attract investors, it could now integrate AI. If a hyperscaler

0:24:58.680 --> 0:25:01.360
<v Speaker 1>wanted to seem enterprising and lae it was building the future,

0:25:01.520 --> 0:25:03.439
<v Speaker 1>it could buy a bunch of GPUs or invest in

0:25:03.440 --> 0:25:07.240
<v Speaker 1>its own silicone, as Google, Microsoft, Amazon and Meta have done,

0:25:07.440 --> 0:25:10.600
<v Speaker 1>though Meta to only some extent, and of course shove

0:25:10.640 --> 0:25:14.560
<v Speaker 1>AI in every imaginable crevice of an app. Investors could

0:25:14.600 --> 0:25:18.320
<v Speaker 1>invest in AI companies, Retail investors, regular people could invest

0:25:18.359 --> 0:25:21.159
<v Speaker 1>AAI stocks. Tech reporters could write about something new and

0:25:21.359 --> 0:25:24.840
<v Speaker 1>do access journalism. Even harder LinkedIn perverts could write long

0:25:24.880 --> 0:25:27.639
<v Speaker 1>screens about AI. The markets could become obsessed with AI,

0:25:27.760 --> 0:25:30.280
<v Speaker 1>and yeah, you can kind of see how things got

0:25:30.320 --> 0:25:33.160
<v Speaker 1>out of control. Everybody now had something to do, an

0:25:33.200 --> 0:25:36.919
<v Speaker 1>excuse to do an AI thing, regardless of whether it

0:25:36.920 --> 0:25:39.680
<v Speaker 1>made sense. Because everybody else was doing it, you didn't

0:25:39.680 --> 0:25:43.520
<v Speaker 1>need to justify it anymore. Everybody was doing AI chat

0:25:43.560 --> 0:25:46.040
<v Speaker 1>GPT quickly became one of the most popular websites on

0:25:46.040 --> 0:25:48.880
<v Speaker 1>the Internet, all while open AI burned billions of dollars,

0:25:48.960 --> 0:25:51.560
<v Speaker 1>and because the media effectively published every single thought that

0:25:51.600 --> 0:25:54.680
<v Speaker 1>Sam Mortman had, such as that GPT four would automate

0:25:54.720 --> 0:25:57.199
<v Speaker 1>away some jobs and create others, and that he was

0:25:57.280 --> 0:26:00.000
<v Speaker 1>a little bit scared of him. AI as a tech

0:26:00.240 --> 0:26:03.240
<v Speaker 1>knowlogy and an idea and a symbolic stock trope and

0:26:03.280 --> 0:26:05.800
<v Speaker 1>a marketing tool and a myth became so powerful that

0:26:05.800 --> 0:26:09.040
<v Speaker 1>it could do anything, replace anyone, be worth anything, even

0:26:09.080 --> 0:26:12.000
<v Speaker 1>the future of your company. Amongst the hype, there was

0:26:12.000 --> 0:26:15.120
<v Speaker 1>an assumption related to scaling laws, summarized well by Charlie Meyer,

0:26:15.119 --> 0:26:16.720
<v Speaker 1>who was on the podcast a few months ago. You

0:26:16.720 --> 0:26:19.960
<v Speaker 1>should go listen to his episode. In twenty twenty, one

0:26:19.960 --> 0:26:22.040
<v Speaker 1>of the most important papers in the development of AI

0:26:22.200 --> 0:26:25.119
<v Speaker 1>was published, Scaling Laws for Neural Language Models, which came

0:26:25.160 --> 0:26:28.359
<v Speaker 1>from a group a OpenAI. The papers showed with just

0:26:28.400 --> 0:26:31.440
<v Speaker 1>a few charts incredibly compelling evidence that increasing the size

0:26:31.440 --> 0:26:34.639
<v Speaker 1>of large language models would increase their performance. This paper

0:26:34.680 --> 0:26:36.680
<v Speaker 1>was a large driver in the creation of GPD three

0:26:36.840 --> 0:26:39.399
<v Speaker 1>and today's L ANDM revolution, of course, the movements of

0:26:39.480 --> 0:26:42.720
<v Speaker 1>trillions of dollars in the stock market. In simple terms,

0:26:42.760 --> 0:26:45.240
<v Speaker 1>the paper suggested that shoving more training data and using

0:26:45.240 --> 0:26:48.199
<v Speaker 1>more compute power would exponentially increase the ability of a

0:26:48.240 --> 0:26:50.399
<v Speaker 1>model to do stuff. And to make a model that

0:26:50.480 --> 0:26:53.520
<v Speaker 1>did more stuff, you needed more GPUs and more data centers.

0:26:53.960 --> 0:26:56.159
<v Speaker 1>Did it matter that there was compelling evidence in twenty

0:26:56.200 --> 0:26:58.480
<v Speaker 1>twenty two and god to say it, Gary Marcus was

0:26:58.560 --> 0:27:00.879
<v Speaker 1>right that there were limits to galing laws and that

0:27:00.920 --> 0:27:05.520
<v Speaker 1>they would hit the point of diminishing returns. Nah amidst

0:27:05.600 --> 0:27:07.639
<v Speaker 1>all of this and video has sold over two hundred

0:27:07.680 --> 0:27:10.240
<v Speaker 1>billion dollars of GPU since the beginning of twenty twenty three,

0:27:10.280 --> 0:27:12.960
<v Speaker 1>becoming the largest company on the stock market and trading

0:27:13.040 --> 0:27:15.880
<v Speaker 1>over one hundred and seventy dollars as of writing this sentence,

0:27:16.000 --> 0:27:18.320
<v Speaker 1>only a few years after being worth less than twenty

0:27:18.359 --> 0:27:22.560
<v Speaker 1>dollars a share. You see meta, Google, Amazon, Microsoft all

0:27:22.600 --> 0:27:24.400
<v Speaker 1>wanted to be part of the future, so they sunk

0:27:24.400 --> 0:27:26.240
<v Speaker 1>a lot of money into in video, making up forty

0:27:26.240 --> 0:27:28.600
<v Speaker 1>two percent of its revenue in its fiscal year twenty

0:27:28.600 --> 0:27:32.280
<v Speaker 1>twenty five. Though there are some arguments about how much

0:27:32.440 --> 0:27:36.120
<v Speaker 1>exactly big text billowing capital expenditures are spent on GPUs.

0:27:36.400 --> 0:27:38.919
<v Speaker 1>Some estimate somewhere between forty one percent and more than

0:27:38.960 --> 0:27:42.159
<v Speaker 1>fifty percent of a data center's capex is spent on GPUs.

0:27:42.480 --> 0:27:44.600
<v Speaker 1>If you're wondering what the payoff is, well, you're in

0:27:44.720 --> 0:27:47.840
<v Speaker 1>good company. I estimate that there's only around sixty one

0:27:47.920 --> 0:27:50.399
<v Speaker 1>billion dollars in total genera of AI revenue, and that

0:27:50.440 --> 0:27:54.440
<v Speaker 1>includes every HYPERSCALA and neocloud. Large language models are limited,

0:27:54.520 --> 0:27:57.240
<v Speaker 1>AI agents are a pipe dreene and simply do not work.

0:27:57.440 --> 0:28:01.280
<v Speaker 1>AI powered products are unreliable, and coding l make developers slower,

0:28:01.320 --> 0:28:02.960
<v Speaker 1>and the cost of influence the way in which a

0:28:03.000 --> 0:28:06.159
<v Speaker 1>model produces its output keeps going up. The thing is,

0:28:06.359 --> 0:28:09.480
<v Speaker 1>what comes up tends to have a habit of coming down.

0:28:09.520 --> 0:28:12.159
<v Speaker 1>And I'm increasingly if the opinion that a return to

0:28:12.200 --> 0:28:15.199
<v Speaker 1>a terror firmer is coming sooner rather than later. But

0:28:15.280 --> 0:28:26.480
<v Speaker 1>that's for the next episode. Join me, then, thank you

0:28:26.520 --> 0:28:29.200
<v Speaker 1>for listening to Better Offline, The editor and composer of

0:28:29.240 --> 0:28:32.200
<v Speaker 1>the Better Offline theme song is Matasowski. You can check

0:28:32.240 --> 0:28:35.160
<v Speaker 1>out more of his music and audio projects at Mattasowski

0:28:35.240 --> 0:28:38.719
<v Speaker 1>dot com m A T T O. S O w

0:28:39.040 --> 0:28:42.600
<v Speaker 1>Ski dot com. You can email me at easy at

0:28:42.600 --> 0:28:45.280
<v Speaker 1>Better Offline dot com or visit Better Offline dot com

0:28:45.280 --> 0:28:47.720
<v Speaker 1>to find more podcast links and of course, my newsletter.

0:28:48.120 --> 0:28:50.640
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0:28:56.600 --> 0:28:59.959
<v Speaker 1>you so much for listening. Better Offline is a production

0:29:00.160 --> 0:29:03.080
<v Speaker 1>cool Zone Media. For more from cool Zone Media, visit

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