If you donât understand this stuff, youâll fall behind as an investor⦠[RiskHedge Report] [Stephen McBride]
“Is ChatGPT woke?” (yes) and other AI answers By Stephen McBride - RiskHedge Stephen McBride: Chris, the AI questions continue to pour in... Of course, everyone wants to know the best ways to profit off the boom, which we got into a bit yesterday, and readers can [discover more here](... But weâre also seeing everything from âIs ChatGPT woke?â To âIs my job safe?â To âHow the heck does ChatGPT work?â Letâs tackle them today, starting with that last one. Because frankly, thereâs a lot of faulty analysis out there by folks who donât truly understand how the tech works. Chris Wood: Everyoneâs an AI expert all of a sudden! Youâre absolutely right. If you donât have a base understanding of this stuff, youâll fall behind as an investor. Stephen: At its core, ChatGPT runs on whatâs called a large language model (LLM). Gmailâs autocomplete feature is basic LLM. You write, âSorry I wonât be able toâ¦â and it predicts the word âattend.â ChatGPT works by predicting the next word in a sentence in response to your query. Its predictions are based on billions of pages of text scraped from every corner of the web. The model has trained on over 8 million documents and over 10 billion words! Google (GOOGL) and Facebook (META) have enabled their own LLMs in recent years... but ChatGPT is by far the most popular and publicly available. Chris: The most fascinating thing about ChatGPT is how it continues to learn while guessing what word or phrase should come next. Iâve been covering opportunities in AI for much of the past decade. Whatâs happening now is totally different from what weâve seen in the past. I like how a recent New York Times article put it. Most previous AI models were essentially âpreloaded with cheat sheets.â For example, hundreds of years of chess knowledge was embedded in the algorithm that helped IBMâs AI Deep Blue beat Garry Kasparovâthe greatest chess player in historyâback in â97. ChatGPT was trained by humans, too. But there arenât any human-programmed algorithms to ensure it puts a comma in the right spot. Or to make sure verbs and subjects are in agreement. Instead, âby simply playing âpredict the next wordâ a trillion times,â ChatGPT can answer even the most complex questions. And it presents answers in a way thatâs easy to understand⦠and eerily humanlike. Stephen: I asked ChatGPT to explain quantum computing to me in plain English (something no human I asked could do). Hereâs what it said: Source: OpenAI And just to drive this all home, OpenAIâs Dall-E is equally impressive (OpenAI is also the creator of ChatGPT). Dall-E analyzes words AND images. In fact, tens of millions of images are created on DALL-E each day. It lets you create beautiful visuals by simply describing what you want to see. Hereâs what it gave me when I typed in âRhodesian Ridgebackâs studying for SAT exams on the moon in the 1990sâ: Source: OpenAI This is a far bigger deal than beating the world chess champion. It means computers can now paint, draw, and design better than most humans⦠for a fraction of the cost⦠in a fraction of the time. Chris: Which brings us to our next question: Which jobs will AI âkill offâ first? Stephen: Yeah, Iâm seeing that one everywhere. A lot of folks are concerned, and I get it. Is the career Iâve worked so hard to build going to be abolished overnight? The short answer: No technology in history has ever caused mass unemployment. Of the 270 jobs listed in the 1950 US Census, only one was eliminated by automation: elevator operator. New technologies almost always create more jobs than they destroy. For example, a recent study by economist David Autor found 60% of workers today are employed in occupations that did not exist in 1940⦠implying that over 85% of employment growth over the last 80 years is explained by the technology-driven creation of new positions. Some individual industries might be in trouble, though. Like consulting firms. ChatGPT delivers âexpertiseâ on-demand today. It can already write college papers better than most students. Why couldnât it put together âgrown-up assignmentsâ and sell them for millions of dollars? That would put it in direct competition with consulting giants like Accenture (ACN) and McKinsey. Some aspiring entrepreneur will build an âAI consulting botâ on top of ChatGPT. And that will eat into consulting firmsâ profits. On the investing side, Iâd beware of stocks like Accenture and Verisk Analytics (VRSK). Chris: Circling back to ChatGPT, readers want to know if itâs âwokeâ... or politically biased. This is an easy one. Yes. OpenAI purposely built ChatGPT to be politically correct. It makes no secret of this. In an early blog post, OpenAI laid out its approach to âadjust the behavior of a pretrained language model to be sensitive to predefined norms⦠with Values-Targeted Datasets.â Stephen: Itâs a little concerning to think it can shape folksâ political beliefs without them knowing it. ChatGPT wonât talk about the benefits of fossil fuels or argue in favor of âconservativeâ laws. And it refuses to write a poem praising Donald Trump but will happily do so for Joe Biden (we tested this). You can imagine how this can be used to softly censor information⦠and fool lots of folks who assume AI is an all-knowing, truth-telling, perfectly logical, and unbiased source of information. Itâs not. Hereâs another good one, Chris. I asked it, âWhatâs the best AI ETF?â It said, â I donât have time to research the top individual AI stocks and am looking for an easy solution.â Chris: ETFs are often a smart option to get broad exposure to a sector or trend. Not the case here. AI is so new, and itâs changing every day. Blink and a handful of companies in the ETF wonât âmake senseâ anymore. In fact, many AI ETFs currently have holdings that donât make sense. Take the popular AI-Powered Equity (AIEQ) ETF. Itâs filled with traditional tech stocks and software companies, many of which I call âkind of AI, but not reallyâ companies. GameStop Corp. (GME) is listed as a Top 10 holding. Yet, it generates virtually no revenue from AI. At the same time, we donât recommend any of the touted âpure playâ AI stocks: C3.ai (AI), SoundHound AI (SOUN), and BigBear.ai (BBAI). These stocks shot up 95%, 192%, and 377%, respectively, when ChatGPT arrived on the scene. But a closer look shows their business models are unproven. And when it comes to true AI disruptors, theyâre not doing enough to move the needle long term. There are much better options out there. Stephen: We have a two-pronged plan of attack in our premium research advisories. In Disruption Investor, you and I recommend companies powering the AI revolution, like Nvidia (NVDA) with its specialized GPU computer chips. Weâre also investing in firms currently using this breakthrough tech to disrupt massive, important industries. Like the one in our recent issue, The definitive guide to investing in AI... Itâs using AI to disrupt healthcare, Americaâs most broken industry. In your Project 5X advisory, you home in on much smallerâvirtually unknownâAI companies. These tiny names are riskier, but the upside is much higher. For example, your top âbest buyâ is an AI space technology stock trading for under $2/share, and your price target is $14. Chris: This tiny company is doing things in satellite imagery that were never possible before. If itâs successfulâand I think it will beâearly investors will be rewarded handsomely. But again, you wonât find it on any AI lists. Itâs an âundercoverâ AI stock, at least for now. [Go here to get details on how to access this play with me.]( Stephen McBride
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