The Imitation Game: Defending against AI's Dark Side!

Key Concepts

• AI Scams: Deceptive schemes leveraging artificial intelligence to impersonate individuals and solicit investments.
• Open Access Policy: The speaker's philosophy of making all teaching materials, data, and writings freely available online.
• Low-Tech Approach: The speaker's deliberate use of simple, unpolished platforms and formats for his content.
• Process Over Product: The speaker's emphasis on teaching how to think and analyze rather than providing direct answers or stock picks.
• Pragmatism in Finance: Applying financial analysis to real companies, bending rules, and making assumptions for practical application.
• Regret Over Missing Out (ROMO): The emotional distress caused by past investment opportunities missed, leading to jealousy and conspiracy theories.
• Fear Of Missing Out (FOMO): The anxiety of not participating in the next big investment, driven by greed.
• Caveat Emptor: The principle of "buyer beware," emphasizing individual responsibility in avoiding scams.

AI Scams and Personal Experience

The speaker recounts recent experiences with scams impersonating him on Instagram and in videos, promising unrealistic investment returns (60-80%). He notes that while he doesn't have an Instagram account, these scams are targeting individuals who may be vulnerable investors. His initial emotions were surprise, anger at the targeting of investors, and frustration with social media platforms. As a teacher, his primary emotion became curiosity, leading him to analyze the AI scam's effectiveness and weaknesses.

The Speaker's Open Access Policy and Content Availability

The speaker explains his rationale for making all his materials publicly available, stemming from his desire to reach the widest audience of enthusiastic students. He details the evolution of his content sharing, from VHS tapes in the NYU library to online videos and downloadable materials. He identifies four primary platforms where his content can be found:

1. Web Page:

   • Teaching Materials: Includes lectures, slides, exams, and quizzes for his NYU classes (Valuation, Corporate Finance) and four other developed classes (Intro to Valuation Accounting, Finance Statistics, Investment Philosophies, Corporate Life Cycles). All are accessible and free.
   • Data: Provides three decades of summarized public company data as industry averages (margins, risk, profitability) updated annually. Data is broken down regionally (US, Europe, Emerging Markets, Japan, China, India, Australia, Canada, New Zealand). Company-specific data is not provided.
   • Spreadsheets: Offers primitive but functional spreadsheets, including a widely downloaded company valuation spreadsheet with a supporting webcast. Also includes tools for reading annual reports and accessing macro data.
   • Books: Lists 11 books covering corporate finance, valuation, and investing, with accompanying web pages containing examples and supporting material. Instructor PowerPoint slides may require a password.
   • Papers: Publishes practitioner-oriented papers, including annual updates on the equity risk premium and country risk premium.

2. Blog:

   • Originally on Google, now also reproduced on Substack (free subscription) and LinkedIn.
   • Used as a personal "therapy place" to work through questions and uncertainties.

3. YouTube:

   • Hosts all his classes organized by playlists.
   • Features videos derived from his blog posts for those who prefer visual content.

4. Twitter:

   • Primarily used as a bulletin board to announce new papers or books due to its speed in reaching people.
   • He avoids posting opinions or engaging in debates due to the tendency for uninformed posters to dominate.

Common Commonalities in the Speaker's Content and Scam Detection

The speaker highlights several characteristics of his content that can help identify scams:

• Low-Tech Approach: His website looks dated, his blog is on Google, and his YouTube videos are unpolished, often featuring his office, computer, and even his dog. He intentionally avoids professional studios and high production value. He turns down offers to "update" his website or improve his YouTube presence, believing the low-tech nature acts as a barrier to entry for those who might not appreciate his verbose style.
• Process Over Product: He prioritizes explaining his thought process for arriving at conclusions rather than providing direct answers or stock picks. He emphasizes teaching individuals how to analyze and think for themselves.
• Pragmatism: He focuses on real-world financial analysis, bending rules and making assumptions for practical application. He never gives out stock picks, though he does state whether he would buy or sell a stock after valuing it, emphasizing personal ownership of investment decisions.
• Free Content: Almost all his material is free, with no subscriptions required. The only exceptions are his NYU certificate class and occasional paid teaching engagements in other parts of the world (e.g., India), which he views as a reciprocal arrangement for being allowed to share his content freely.

Scam Detection Tip: If a solicitation asks for money or a subscription, it is likely a scam, with the exception of his official paid courses.

The Imitation Game: AI's Advancement in Scams

The speaker categorizes past impersonations as "good neighbor sharing" or less benign versions where data is selectively used or writing is reproduced without acknowledgment. However, he notes that AI has significantly "upped the ante" in scams.

He analyzes a fake Facebook ad impersonating him:

• Strengths (A-): The picture is accurate, the words sound like his, and it mentions companies he has discussed (Nvidia, Palantir). The polish is slightly too high, suggesting it's not his own creation.
• Weaknesses (C-): The content lacks substance. While it mentions companies and valuation, it doesn't provide his typical detailed analysis, spreadsheets, or specific valuation numbers. He contrasts this with what an authorized bot like the "demoderin bot" might produce, which would likely include more plausible valuation stories.

What the Scam Gets Wrong:

• Investment Club: The scam pushes people to join an investment club, which is contrary to his philosophy. He believes in individual analysis and ownership of decisions.
• Unrealistic Returns: Promising 60-80% returns is a gross misrepresentation of his views on active investing, where even top investors like Warren Buffett achieve much smaller, albeit significant, market-beating returns over time. This aspect gets the tone and message fundamentally wrong.

Protective Shield Against Future Scams

The speaker offers actionable advice for protecting oneself against scams, especially those leveraging AI:

1. "Looks and Sounds Like" is No Longer Enough: AI can convincingly replicate appearances and speech patterns. Do not rely solely on visual or auditory cues.
2. Reject "Smart Money" and Hype: He argues there's no such thing as consistently "smart money"; most is lucky. Avoid arrogance and hype, which are often drivers of scams promising unrealistic outcomes.
3. Do Your Homework (Understand Their Thinking): Investigate how someone thinks about markets. This goes beyond asking for track records. Understanding their investment philosophy is crucial. He recommends his "Investment Philosophies" class as an example of how to explore this.
4. Avoid ROMO and FOMO:
   • ROMO (Regret Over Missing Out): Regretting past missed opportunities (e.g., not buying Facebook at IPO) can lead to jealousy and conspiracy theories.
   • FOMO (Fear Of Missing Out): The anxiety of missing the next big thing, driven by greed, leads to impatience, overreaching, and a constant search for the next quick gain, making individuals prime targets for scammers.

The Role of Greed and Fear in Scams

The speaker posits that scams are a two-sided dance requiring both the scammer and the scammed. While scammers create the deception, the scammed bring greed and fear into the equation. He notes that most scammed individuals are not unintelligent but become greedy, which overrides their critical thinking.

Conclusion and Final Advice

The speaker concludes by stating that relying on regulators for protection is often a false comfort. The ultimate defense is Caveat Emptor (Buyer Beware). He advises asking "Who benefits?" and following through on that question. He apologizes for the scams in his name but acknowledges that social media is largely out of his control.