Another issue is the sheer
Posted: Sun Dec 22, 2024 8:06 am
Again, consider a higher-risk financial question: What's more popular: Dogecoin, Bassetcoin, or Norwegianlundehundcoin? Dogecoin is by far the most popular of the three coins, with a current market capitalization of over $9 billion. Bassetcoin and Norwegianlundehundcoin are much smaller coins with market caps of only a few hundred thousand dollars each. A market cap of a few hundred thousand dollars each is pretty impressive for two cryptocurrencies that (as of this writing) don’t exist. I’m sorry to say that I started this example with Labradoodlecoin, only to discover that Labradoodlecoin actually exists.
I’m pushing the engine pretty hard to prove a point here, and modern taiwan business email list machine-generated text is much less prone to hallucination than previous iterations. That said, any time you combine multiple sources without regard to their veracity or completeness, there’s a real risk that the end result will be plausible-sounding nonsense. Scale and the real-time internet This one’s pretty straightforward: What works at beta scale may not work at Google scale. As the late Bill Slawski would point out, just because Google has an idea — or even patents an idea — doesn’t mean that they implement that idea in search (for many reasons).
speed of the internet. ChatGPT is trained on a static corpus — a moment in time. Google crawls and indexes the internet very quickly and can return information that is recent, localized, and even personalized. It’s worth noting that Google has invested massive amounts of money into machine learning. Google’s LaMDA (Language Model for Dialogue Applications) is capable of generating complex, human-like text. Google is well aware of the limitations and costs of these models.
I’m pushing the engine pretty hard to prove a point here, and modern taiwan business email list machine-generated text is much less prone to hallucination than previous iterations. That said, any time you combine multiple sources without regard to their veracity or completeness, there’s a real risk that the end result will be plausible-sounding nonsense. Scale and the real-time internet This one’s pretty straightforward: What works at beta scale may not work at Google scale. As the late Bill Slawski would point out, just because Google has an idea — or even patents an idea — doesn’t mean that they implement that idea in search (for many reasons).
speed of the internet. ChatGPT is trained on a static corpus — a moment in time. Google crawls and indexes the internet very quickly and can return information that is recent, localized, and even personalized. It’s worth noting that Google has invested massive amounts of money into machine learning. Google’s LaMDA (Language Model for Dialogue Applications) is capable of generating complex, human-like text. Google is well aware of the limitations and costs of these models.