Another day, another AI.
BloombergGPT, Bloomberg’s 50-billion parameter large language model, purpose-built from scratch for finance
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Tbf when I first read about ChatGPT my mind immediately went towards its implications to finance. A.I. and technical analysis seems like a match made in heaven.
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Would be if technical analysis actually worked. I screwed around with some of the gpt models regarding any basic evaluation of anything. They were pretty bad at it. Business is more about being brilliant or identifying brilliant people than doing stuff by the book.
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The importance of data can’t be overstated in the markets. Hedge funds have teams of people doing nothing but staring at charts all day. T.A. can absolutely be useful if you can separate signal from noise, the issue is with the advent of the Internet we have so much data that 99% is noise.
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Tbh the bottleneck now is executive capacity, not data or analytics quantity or quality. What’s “signal” versus what’s “noise” is just what fits in a decisionmakers economy of focus. I’m hoping that as GPT and similar cowtools reduce the labor intensity of research synthesis and visualization, we see titles like product owner explode in ubiquity because the number of direct reports needed to support it shrink significantly.
More product owners means faster market research and we can see just how much modern tech has a place outside research papers and proofs-of-concept.
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Quants on suicide watch
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They never left
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I tried ChatGPT 4.0 for the first time last night and handed it some marketing questions about cloud computing in the era of AI ubiquity.
Super shallow questions too— I work in market analysis but through a health economics perspective.
It give me a better white paper breakdown than anything I’ve been forced to sit through from McKinsey. I’d put it on par with a Motley Fool article, or a good in-the-weeds WSJ report.
I’m considering pivoting my whole career to AI now. Im a true believer that the near-future of research synthesis and content creation is AI. Good analytical skills will still be valuable, but we’re in a gold rush of who can deliver the current capacity of AI to consumers who are just unaware of what can be done now.
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Did you independently verify how much of what it was telling you was hallucinated?
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I didn’t bother asking it for numbers or figures because its knowledge is capped pre Sep 2021. But stuff like “who are the newest consumers for cloud computing services,” “what are service niches that Azure, AWS, and Google Cloud don’t corner,” “rank sub industries in cloud computing by market concentration and start-up investment for entry” get well-reasoned results.
It’s great for drawing board stuff.
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on suicide watch
6 million bankers shoah'd overnight
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Bloomberg
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