Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

Claims checked against evidence, page 9 of 31

Claims by Gary Marcus and Ed Zitron. Deadlines are judged as of 2026-10-29.

Claims checked against evidence (3100)

Each of these claims was checked against dated evidence.

Page 9 of 31: claims 801 to 900 of 3100, ordered by the date first said, newest first. To find a claim by its words, use search.

  1. Assessment: UnresolvedSaid

    Ed Zitron

    “The AI data center companies that, thanks to readily-available debt, have started 200GW of projects (and only started building 5GW of them) for AI demand that doesn’t exist, entirely based on the theoretical sense that maybe it will in the future.”

  2. Assessment: UnresolvedSaid

    Ed Zitron

    “No! AI training costs are not going away. They are an inherent part of running these companies, and are not capex. They are operating expenses.”

  3. Assessment: UnresolvedSaid

    Ed Zitron

    “Any reduction in capex from big tech is a sign that the AI bubble is bursting, as NVIDIA’s continued growth only comes from Microsoft, Google, Amazon, Meta, Oracle and other large companies buying tens of billions of dollars of servers from Taiwanese ODMs like Foxconn and Quanta.”

  4. Assessment: SupportedSaid

    Gary Marcus

    “This study reinforces what Anh Totti Nguyen has been saying for a long time, in a series of underappreciated papers like Vision Language Models are Blind that I keep trying to draw attention to.”

    What happened: The study reports strong image-free benchmark performance and fabricated visual descriptions. Its published conclusion corroborates the broader warning that benchmark success can overstate visual understanding; the event date identifies the publication of this finding. (arXiv, )

  5. Assessment: UnresolvedSaid

    Gary Marcus

    “AGI this stuff ain’t.”

  6. Assessment: UnresolvedSaid

    Ed Zitron

    “I’m just gonna come out and say it: I think a lot of these data center deals are trash, will never get built, and thus will never get paid.”

  7. Assessment: UnresolvedSaid

    Ed Zitron

    “At some point reality will set in and spending on NVIDIA GPUs will have to decline.”

  8. Assessment: UnresolvedSaid

    Ed Zitron

    “Anthropic’s constant flow of “annualized” revenues ended up equating to literally $5 billion in revenue in four years, on $25 billion or more in salaries and compute.”

  9. Assessment: UnresolvedSaid

    Ed Zitron

    “Software engineers aren’t being replaced — they’re being laid off because the software that’s meant to replace them is too expensive, while in practice not replacing anybody at all.”

  10. Assessment: UnresolvedSaid

    Ed Zitron

    “Developer Mortensen claims the entire project will be completed by October 2026, which it obviously, blatantly won’t.”

  11. Assessment: UnresolvedSaid

    Ed Zitron

    “NVIDIA is selling GPUs years into the future, and its ability to grow, or even just maintain its current revenues, depends wholly on its ability to convince people that this is somehow rational.”

  12. Assessment: UnresolvedSaid

    Ed Zitron

    “And I’d argue it’s convenient to blame this solely on power issues, when the reality is clearly based on construction timelines that never made any sense to begin with. If it was just a power issue, more data centers would be near or at the finish line, waiting for power to be turned on.”

  13. Assessment: UnresolvedSaid

    Ed Zitron

    “So, I want to explain something very clearly for you, because it’s important you understand how fucked up shit has become: hyperscalers are forcing everybody in their companies to use AI tools as much as possible, tying compensation and performance use to token burn, and actively encouraging non-technical people to vibe-code features that actually reach production.”

  14. Assessment: UnresolvedSaid

    Ed Zitron

    “Even if they were, there’s not enough power for them to turn on.”

  15. Assessment: UnresolvedSaid

    Ed Zitron

    “At its current rate of construction, Stargate Abilene will be fully built sometime in late 2027.”

  16. Assessment: UnresolvedSaid

    Ed Zitron

    “They are guaranteeing that their software will be poorly-written and maintained, all in the pursuit of “doing more AI” for no reason other than that everybody else appears to be doing so.”

  17. Assessment: UnresolvedSaid

    Ed Zitron

    “By the time they actually get all the Blackwells in Vera Rubin will be two years old!”

  18. Assessment: UnresolvedSaid

    Ed Zitron

    “Simple questions like “where are the GPUs going?” and “how many actual GPUs have been installed?” are left unanswered as article after article gets written about massive, multi-billion dollar compute deals for data centers that won’t be built before, at this rate, 2030.”

  19. Assessment: UnresolvedSaid

    Ed Zitron

    “Nevertheless, based on these data points, I’m comfortable estimating that North American data center absorption — as the IT load of data centers actually turned on and in operation — was at around 3GW for 2025, which would work out to about 3.9GW of total power.”

  20. Assessment: UnresolvedSaid

    Ed Zitron

    “NVIDIA’s overall data center segment revenue was $195.7 billion, which puts America’s data center purchases at around $135 billion, leaving around $44 billion of GPUs and associated technology uninstalled.”

  21. Assessment: UnresolvedSaid

    Ed Zitron

    “Then there’s the very, very obvious scandal that NVIDIA, the largest company on the stock market, is making hundreds of billions of dollars of revenue on chips that aren’t being installed.”

  22. Assessment: UnresolvedSaid

    Ed Zitron

    “All Nebius had to do to raise $3.75 billion in debt was to sign a deal with Meta for data center capacity that doesn’t exist and will likely take three to four years to build (it’s never happening).”

  23. Assessment: UnresolvedSaid

    Ed Zitron

    “With the acceleration of NVIDIA’s GPU sales, it now takes about 6 months to install and operationalize a single quarter’s worth of sales.”

  24. Assessment: UnresolvedSaid

    Ed Zitron

    “The flippancy with which the media reports on these data centers — both in the structure of the deals and the realities of the construction (I go into detail about this in a premium from late last year, but making data centers is hard) — is allowing con artists to get rich and creating the conditions for yet another great financial crisis.”

  25. Assessment: UnresolvedSaid

    Ed Zitron

    “This sounds sarcastic — petty even! — but it’s the truth, and nobody’s margins appear to be improving.”

  26. Assessment: UnresolvedSaid

    Ed Zitron

    “To be explicit, allowing LLM to write all of your code means that you are no longer developing code, nor are you learning how to develop code, nor are you going to become a better software engineer as a result.”

  27. Assessment: SupportedSaid

    Ed Zitron

    “Somebody spending $20 a month on a Claude subscription can spend as much as $163 in compute.”

    What happened: The tables report a $20 Pro plan, five million weekly credits and approximately $163 of monthly API-equivalent capacity. The author derives limits from usage responses and token weights from collected observations; this is a capacity estimate, not a disclosure of Anthropic's costs. (she-llac, )

  28. Assessment: UnresolvedSaid

    Ed Zitron

    “Despite everybody talking about it endlessly for three god damn years, LLMs lack the kind of obvious, replicable, industrially-necessary outcomes that make a 3x, 4x or 10x price increase tenable.”

  29. Assessment: UnresolvedSaid

    Ed Zitron

    “2026 or 2027’s great financial crisis will replace “homes” with “data centers,” and I worry it’ll be calamitous for the pensions and insurance funds that have tied their futures to AI.”

  30. Assessment: UnresolvedSaid

    Ed Zitron

    “AI is not actually driving much revenue at all!”

  31. Assessment: ContradictedSaid

    Ed Zitron

    “Know that LLMs cannot do many of the things that people talk about — they do not blackmail people, no GPT-4 did not trick a taskrabbit, and every single time an AI CEO says AI “will” do something you should spit in their fucking face for making shit up not print it without a second’s thought.”

    What happened: The report attributes this false explanation to GPT-4 after the worker questioned whether it was a robot, and records that the human supplied the results. This contradicts the denial of behavioral deception in the reported interaction. (OpenAI, )

  32. Assessment: UnresolvedSaid

    Ed Zitron

    “In any case, there is no future for any AI company that uses a subscription-based approach, at least not one where they don’t directly pass on the cost of compute.”

  33. Assessment: ContradictedSaid

    Ed Zitron

    “Absolutely none of these companies have a plan.”

    What happened: Replit explains that charges scale with its computing costs, rejects subsidized usage as its business approach, and describes further efficiency improvements. This is a concrete economic plan, although its success is not established by the announcement. (Replit, )

  34. Assessment: UnresolvedSaid

    Ed Zitron

    “In the end, I bet Stargate Abilene never gets built, but if it does, I’d be shocked if it’s done before the middle of 2027, which would mean it takes about 3 years per Gigawatt of power, or about a year per 293MW of IT load.”

  35. Assessment: UnresolvedSaid

    Ed Zitron

    “Saying obvious stuff like “every AI company is unprofitable” or “there is no path to profitability” or “nobody is talking about AI revenues” is considered unfair or cynical or contrarian, even though these are very reasonable and logical statements grounded in reality.”

  36. Assessment: UnresolvedSaid

    Ed Zitron

    “This means it will be very, very difficult to increase subscription costs on users, and near-impossible to convince them to pay the cost of the API.”

  37. Assessment: UnresolvedSaid

    Ed Zitron

    “Even if you are impressed by what LLMs can do, remember that what you’re impressed by is the result of burning more money than anybody has ever burned on anything, including the Great Financial Crisis’ Troubled Asset Relief Plan (a little over $400 billion) and the COVID Paycheck Protection Program (somewhere between $800 billion and $900 billion).”

  38. Assessment: ContradictedSaid

    Ed Zitron

    “First, there’s no way to anticipate how many tokens a prompt will actually burn, which makes any kind of budgeting a non-starter.”

    What happened: Anthropic documented a way to constrain monthly API expenditure before the post. This contradicts the claim that every form of budgeting is unavailable, but does not guarantee that a task finishes before its budget is exhausted. (Anthropic, )

  39. Assessment: SupportedSaid

    Ed Zitron

    “Uber is a completely different business to Anthropic and OpenAI or any other AI company.”

    What happened: Uber describes connecting riders, merchants, couriers, shippers and carriers. The report also identifies Uber One memberships and service costs that vary with activity, limiting any stronger interpretation that Uber shares no commercial features or variable costs with AI providers. (Uber Technologies, Inc., )

  40. Assessment: UnresolvedSaid

    Ed Zitron

    “Anthropic made $5 billion in its entire existence in revenue and spent $10 billion just on compute.”

  41. Assessment: UnresolvedSaid

    Gary Marcus

    “Another dramatic sign of changing times: Sam Altman, who ridiculed my 2022 critique of LLMs that argued that scaling would not bring us to AGI and that we would need architectures has just argued that”

  42. Assessment: MixedSaid

    Gary Marcus

    “Hassabis is no longer on board either, and nor are Sutskever and LeCun. Nadella and Pichai have also hinted at skepticism around scaling.”

    What held: In this original interview, Sutskever disputes the idea that multiplying current scale by 100 would transform everything and calls for renewed research. This supports Marcus's characterization of his departure from reliance on scaling alone, without implying that scaling produces no improvements. (Dwarkesh Patel, )

    What did not: Hassabis explicitly retained scaled current systems as a possible complete route to AGI, contradicting an unqualified attribution of rejection. The report also says he suspected additional breakthroughs would be needed, so his position includes genuine doubt. (AOL, Lakshmi Varanasi, )

  43. Assessment: UnresolvedSaid

    Gary Marcus

    “Note that in this talk Altman didn’t claim to have found such an architecture. That represents a significant retrenchment from his claim fourteen months ago that “We now know how to build AGI as it’s usually understood.””

  44. Assessment: UnresolvedSaid

    Gary Marcus

    “AI is supposed to change all that. But so far it hasn’t.”

  45. Assessment: UnresolvedSaid

    Gary Marcus

    “Over and over we discover drugs with AI that work on trials in animals but not safely enough in humans; we just don’t understand biology well enough.”

  46. Assessment: SupportedSaid

    Gary Marcus

    “In my 2020 article, The Next Decade in AI, I foresaw all this, and urged the field to start focusing on world (cognitive) models and neurosymbolic AI.”

    What happened: Section 1 argues that larger datasets and computation require a more fundamental rethink to achieve reliable intelligence. The four-part program summarized immediately before this sentence explicitly includes hybrid neural-symbolic architectures and cognitive models. (arXiv, )

  47. Assessment: SupportedSaid

    Gary Marcus

    “the fact that LLMs hallucinate (patently true)”

    What happened: OpenAI reports hallucinations in its release evaluation, including after improvements. The reported reductions imply residual hallucinations; they are not claims of elimination. (OpenAI, )

  48. Assessment: SupportedSaid

    Gary Marcus

    “It is a misapprehension of LLMs to confuse the things they say with what is true.”

    What happened: Table 2 records eight hallucinations for moonshotai/kimi-k2 on February 1, checked by the biographical subject. The same day's Claude Opus 4.5 result has zero, showing that the finding concerns fallibility rather than universal failure. (Martin Monperrus, )

  49. Assessment: SupportedSaid

    Gary Marcus

    “Essentially the same argument applies to Claude’s constitution, which amounts to a set of built-in guardrails. OpenAI has those, too!”

    What happened: Anthropic directly connects the constitution to model training. The same announcement describes safety priorities and hard behavioral constraints, supporting the broad guardrails reading. (Anthropic, )

  50. Assessment: UnresolvedSaid

    Ed Zitron

    “And thanks to an affidavit from Anthropic Chief Financial Officer Krishna Rao filed as part of Anthropic’s suit against the Department of Defense’s supply chain risk designation, it’s clear that the deception was intentional, as the affidavit confirmed that Anthropic’s lifetime revenue “to date” (referring to March 9th 2026) is $5 billion, and it has spent $10 billion on inference and training.”

  51. Assessment: UnresolvedSaid

    Ed Zitron

    “There are many signs that the past no longer makes sense. The collapse of SaaS (which I’ll cover in this week’s premium), the collapse of the business models of both venture capital and private equity”

  52. Assessment: UnresolvedSaid

    Gary Marcus

    “Apocalyptic talk is a special case of hype, Sam and Dario both play that card over and over, basically amounting to saying “our tech is so scary it might ruin society, so give us more money so we can make that tech ever faster.””

  53. Assessment: SupportedSaid

    Gary Marcus

    “How about copyright? OpenAI notoriously trained on practically anything that is “publicly available” whether public domain or not.”

    What happened: OpenAI describes its public-internet training practice and invokes fair use rather than limiting that practice to public-domain material. This is the company's legal position, not a court finding. (OpenAI, )

  54. Assessment: UnresolvedSaid

    Gary Marcus

    “AI can help in the search for candidate drugs, but we still need to test them. There is zero chance that we double human life span in the next decade.”

  55. Assessment: UnresolvedSaid

    Gary Marcus

    “Both, for example, have endlessly hinted that AGI is near, and just quietly moved the deadline back when they didn’t deliver.”

  56. Assessment: UnresolvedSaid

    Gary Marcus

    “Millions of people, literally, are angry; many feel betrayed.”

  57. Assessment: SupportedSaid

    Gary Marcus

    “The public anger on social media is growing fast. A major boycott is afoot:”

    What happened: The reporter describes rapidly spreading boycott calls in the days leading up to the March 3 protest. This supports qualitative growth in social-media opposition, although it supplies no platform-wide count. (Business Insider, republished by AOL, )

  58. Assessment: SupportedSaid

    Gary Marcus

    “Using a system you shouldn’t trust with your taxes to blow people up. 2026 in a nutshell.”

    What happened: The surrounding text identifies the tools as Anthropic's Claude and connects their use to the Iran bombardment that began February 28. This supports operational targeting assistance; the account relies on other reporting rather than public military records. The availability date conservatively uses the page's last modification date. (The Guardian, )

  59. Assessment: UnresolvedSaid

    Gary Marcus

    “Essentially anyone who uses a chatbot is at risk.”

  60. Assessment: SupportedSaid

    Ed Zitron

    “For some context, OpenAI raised around $42bn in 2025 alone.”

    What happened: SoftBank confirms completed aggregate funding of $41 billion, including third-party investors. This falls within the contract's approximation tolerance without adding an uncompleted investment. (SoftBank Group, )

  61. Assessment: UnresolvedSaid

    Ed Zitron

    “Sure you can say “it’s projections,” but there is a clear attempt to use the media to misinform investors and the general public. For example, OpenAI claimed SoftBank would spend $3bn a year on agents in 2025. That never happened!”

  62. Assessment: UnresolvedSaid

    Ed Zitron

    “OpenAI and AI companies are not a ponzi scheme. There’s real revenues, people are paying it money.”

  63. Assessment: UnresolvedSaid

    Ed Zitron

    “Nevertheless, Dario Amodei gets fawning press about being a patriot that deeply cares about safety less than a week after Anthropic dropped its safety pledge to not train an AI system unless it could guarantee in advance that its safety measures were accurate.”

  64. Assessment: SupportedSaid

    Ed Zitron

    “Both of these companies are enthusiastic parts of America’s war machine.”

    What happened: Anthropic described existing military deployments and explicitly endorsed continuing that work. The same statement opposed domestic mass surveillance and fully autonomous weapons, qualifying the breadth of its support. (Anthropic, )

  65. Assessment: UnresolvedSaid

    Ed Zitron

    “There are members of the media who defend OpenAI saying that “these are annualized figures,” but OpenAI does not state that, because OpenAI loves to lie.”

  66. Assessment: UnresolvedSaid

    Ed Zitron

    “Stop Reporting That It Raised $110bn, It Is Factually Incorrect”

  67. Assessment: UnresolvedSaid

    Ed Zitron

    “What I’m trying to get at is that OpenAI (and, for that matter, Anthropic) has spent the last two years increasingly obfuscating the truth through leak after leak to the media.”

  68. Assessment: UnresolvedSaid

    Ed Zitron

    “But the biggest thing to take away from this is that one of the classic arguments against my work is that “costs will just come down,” but the costs never come down.”

  69. Assessment: UnresolvedSaid

    Ed Zitron

    “Based on my own reporting, which has been ignored (I guess it’s easier to do that than think about it?) by much of the press, OpenAI made $4.33bn through the end of September, and spent $8.67bn on inference in that period.”

  70. Assessment: UnresolvedSaid

    Ed Zitron

    “Forgive me for being cynical about something from Sam fucking Altman, but I just don’t trust the guy, and this is an (as of writing this sentence) unsigned contract with bus-sized loopholes.”

  71. Assessment: UnresolvedSaid

    Ed Zitron

    “we’re at around $37bn — leaving OpenAI with about…$20bn in cash at the end of the year.”

  72. Assessment: UnresolvedSaid

    Ed Zitron

    “The Department of Defense had agreed to terms around not using Claude for mass domestic surveillance or fully autonomous killing machines (the former of which it’s not particularly good at and the latter of which it flat out cannot do)”

  73. Assessment: UnresolvedSaid

    Ed Zitron

    “software is not as simple as spitting out code, neither is it able to automatically clone the SaaS experience.”

  74. Assessment: UnresolvedSaid

    Gary Marcus

    “It has made dodgy companies that gave lip service to AI safety tremendously wealthy —on the promise, not yet delivered—that they could create AGI.”

  75. Assessment: UnresolvedSaid

    Gary Marcus

    “And made governments so covetous of this stuff that was allegedly like AGI that they have taken it by force.”

  76. Assessment: UnresolvedSaid

    Gary Marcus

    “And led governments to start using today’s manifestly unreliable tech in the context of war.”

  77. Assessment: UnresolvedSaid

    Gary Marcus

    “the immediate problems of LLMs from cybercrime to misinformation to nonconsensual deepfake porn tend to be underplayed, because unrealistic melodrama sucks away attention.”

  78. Assessment: UnresolvedSaid

    Gary Marcus

    “By proclaiming that LLMs would change the world, and that they would do so imminently, doomers contributed to the growth of the LLM companies (essentially free publicity) and to the White House thinking LLMs were critical to the survival of the nation.”

  79. Assessment: UnresolvedSaid

    Gary Marcus

    “the point being that doomers, especially those who have screamed that AGI is nigh, have wanted to slow AI acceleration (at least until we could make AI safe) and instead have only accelerated it.”

  80. Assessment: UnresolvedSaid

    Gary Marcus

    “Some will cost lives, some will cost many lives.”

  81. Assessment: SupportedSaid

    Gary Marcus

    “And of course Generative AI still has problems with common sense, as an endless of stream of examples have shown, this one involving circulating on X today:”

    What happened: Most current models failed a trivial common-sense question, repeatedly, in February 2026. (Opper, )

  82. Assessment: UnresolvedSaid

    Gary Marcus

    “Many people, perhaps thousands, maybe more, will die, needlessly.”

  83. Assessment: UnresolvedSaid

    Gary Marcus

    “Worse, they did it in favor of someone else who took pretty similar terms and happened to have given more campaign contributions.”

  84. Assessment: SupportedSaid

    Gary Marcus

    “It’s one thing for the government to reject Anthropic’s terms—and entirely another to banish them permanently and, absurdly and punitively declare them a supply chain risk.”

    What happened: The record reproduces the President's government-wide exclusion and Hegseth's supply-chain-risk directive, including this closing sentence. The court describes the February directives as a permanent bar subject to a six-month transition, while separately dating the formal designation to March. (US District Court for the Northern District of California, )

  85. Assessment: SupportedSaid

    Gary Marcus

    “The company ripped off a lot of writer’s work (per the $1.5B settlement), and recently walked back its core safety pledge.”

    What happened: The court describes substantial copying and identifies 482,460 settlement works in footnote 2. The underlying LibGen and PiLiMi acquisitions occurred in 2021 and 2022, as detailed in the June opinion cited in e3. (U.S. District Court, Northern District of California, )

  86. Assessment: SupportedSaid

    Gary Marcus

    “Anthropic refused to back down.”

    What happened: Amodei explicitly refused the requested removal of safeguards despite threatened penalties. The same statement remained open to continued military work with those safeguards. (Anthropic, )

  87. Assessment: UnresolvedSaid

    Gary Marcus

    “If anything really bad comes of pushing premature AI too hard and too fast into to the military, he will own it.”

  88. Assessment: UnresolvedSaid

    Gary Marcus

    “One thing that Noble doesn’t mention is why OpenAI has struggled to make a profit; in my eyes, there are three reasons, that I have emphasized here before: the product is unreliable (placing an upper bound on how much many people be willing to pay), it is expensive to operate, and they have no technical moat, which has led to price wars.”

  89. Assessment: UnresolvedSaid

    Gary Marcus

    “But that is exactly where we are headed.”

  90. Assessment: UnresolvedSaid

    Gary Marcus

    “Hegsseth’s demand would in principle extend to apply Anthropic’s software to nuclear weapons without humans in the loop.”

  91. Assessment: UnresolvedSaid

    Ed Zitron

    “This is turning into a very involved and convoluted process! It turns out that it's pretty difficult to actually raise $100 billion.”

  92. Assessment: UnresolvedSaid

    Ed Zitron

    “Let's start with the simplest, and least-technical way of putting it: even in the best-case scenario, you do not just type "Build Be A Salesforce Competitor" and it erupts, fully-formed, from your Terminal window. It is not capable of building it, but even if it were, it would need to actually be on a cloud hosting platform, and have all manner of actual customer data entered into it.”

  93. Assessment: UnresolvedSaid

    Ed Zitron

    “This is a complete and utter lie. A bald-faced lie. This is not something that Claude Code can do.”

  94. Assessment: UnresolvedSaid

    Ed Zitron

    “As I wrote about last year, NVIDIA’s diversified revenue — that’s the revenue that comes from companies that aren’t in the magnificent 7 — continues to collapse.”

  95. Assessment: UnresolvedSaid

    Ed Zitron

    “After misleading everybody that it intended to invest $100 billion in OpenAI last year (as I warned everybody about months ago, the deal never existed and is now effectively dead), NVIDIA was allegedly “close” to investing $30 billion.”

  96. Assessment: SupportedSaid

    Ed Zitron

    “And yet, the myth that LLMs are an existential threat to existing software companies has taken root in the market, sending the share prices of the legacy incumbents tumbling.”

    What happened: Reuters reports broad declines, including more than 5% in Salesforce, ServiceNow, and Adobe, and identifies AI fears through trader and analyst accounts. It also attributes SAP's preceding sharp fall to disappointing cloud guidance, limiting any claim that AI fears explain every decline. (Reuters, syndicated by Radio USA, )

  97. Assessment: UnresolvedSaid

    Ed Zitron

    “We have absolutely no proof this happened other than Anthropic saying it, but because the media repeated it it’s now a fact.”

  98. Assessment: UnresolvedSaid

    Ed Zitron

    “This is a big problem, because OpenAI needs $655 billion in the next five years to pay all its bills, and loses billions of dollars a year.”

  99. Assessment: SupportedSaid

    Ed Zitron

    “It is both peculiar and worrying that 36% (around $77.7 billion) of its $215.938 billion in FY2026 revenue came from two customers.”

    What happened: The following direct-customer disclosure reports shares of 22% and 14%. Applied to reported annual revenue of $215.938 billion, these imply approximately $77.7 billion. (NVIDIA, )

  100. Assessment: UnresolvedSaid

    Ed Zitron

    “Regardless, my point is that you will not just “make your own software.””