at the company . Given the rapid deterioration of the tech industry's fortunes, anything that promises to replicate the heady growth of the previous decade is more than welcome. From 2020 to 2022, Silicon Valley was drunk on low interest rates and bubble behavior. But now the party's over, and AI is helping ease the hangover with a little hair of the dog.
Most of the consumer-facing products you're about to come across are built on large-language models, and the information the bots spit out is only as good as the information they ingest and the algorithms that interpret that information. For instance, models owned by Google, OpenAI, and Microsoft are using information from Reddit to teach themselves. That should be concerning to anyone who has read some of the more vicious, offensive, or juvenile material on that platform.
Making a model that does more good than harm requires having a cross-disciplinary team of social scientists and ethicists on call. But those are exactly the types of workersin Silicon Valley right now. And given their shrinking pool of money, big companies may not want to invest in unsexy safeguards like — as Sahota suggested during our talk.
"It's like doing a math test and just showing the answer, not showing your work," he said."And that's a problem." The recklessness of bubble behavior only adds to the danger of taking generative AI to the commercial market. In their paper, the Stanford researchers warned that"poorly constructed foundations are a recipe for disaster." But the Silicon Valley machine only knows one speed, and that's growth at all costs. It sees no other option but an AI Hail Mary. And all of us will have to suffer the consequences for that.
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