It's really hard to keep up with advances in generative artificial intelligence models. Google Gemini 2.0 provides an example. The shift here is from "creating content" or "learning things" to agent processes that will "do things on your behalf." You might liken that to the advances in web, search or social apps that evolved from "discover things" to "do things" such as complete transactions.
Friday, December 13, 2024
Google Gemini 2.0 Harkens Back to Development of Web, Search, Social Media
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Post Comments (Atom)
AI Increases Data Center Energy, Water E-Waste Impact, But Perhaps Only by 10% to 12%
An argument can be made that artificial intelligence operations will consume vast quantities of electricity and water, as well as create lot...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...
No comments:
Post a Comment