Competition in the Digital Age
Generative AI has created a gold rush today, but that rush has not yet grown into either a productivity boom or a financial bubble. There are good reasons to think this rush could become either one.Which one is just around the corner? Could it be both? In case you forgot, we did live through a …
The commercial future of AI will soon be bigger than the actions of any firm, individual, research team, or open-source community. In the near term, a massive tailwind of potential use cases and nearly completed projects will determine the rate of progress in creating value for users and suppliers. Still, the source of the next …
Large language models (LLMs) have overrun commercial markets, more like a tsunami than a normal technical wave of interest. The topic is everywhere –news stories, blogs, podcasts, startup investments, analyst reports, hackathons, and government announcements. A virtual frenzy surrounds it. If you possess a technical background, you might find this frenzy puzzling. The technological roots …
It is time to review the year in digital technology. Oh, what fun! As with prior reviews, we will arrange this review like an award ceremony. There are three criteria for an award: It must involve digital technology. The key event must have taken place this year, 2023. And it must lend itself to sass …
What happened in the world of IT? Who deserves notoriety for their behavior? It is time to review 2019, and, while we are at it, make a mockery of the most noteworthy. After all, the world is already messed up, so at least let's have a bit of fun. Reminder: The awards generate no money, …
Today we are living through one of those heady situations in which scientific, technical, and commercial frontiers all simultaneously advance in a grand interrelated dance. Advances in computer technology in the last decade opened up the potential for big gains in applications of neural networks aimed at recognizing and diagnosing visual images. Many startups and …
Continue reading "Earning stripes in medical machine learning"
Many querulous conversations fan the flames in policy debates about artificial intelligence. Everyone agrees we are transitioning to something, but not on what that will be. Anyone want to venture a guess? It is safe to bet on widespread use of neural networks and deep learning. Anything else? Some futurists also forecast a confrontation between …
If someone had said that I would be writing a blog post to consider a law that might imprison people for conducting statistical analysis on publicly available data, I would have thought that was unlikely because who would ever propose, let alone enact, such a law? The other day we got our answer: France! The …
Continue reading "The unintended consequences of France’s ban on statistical analysis of Judges"
News coverage of automation and machine learning tends to focus on extraordinary events, such as computers winning at Jeopardy and Go, and robotic arms flipping burgers in short-order restaurants. Additional headlines foster a sense of nightmares, conjuring pictures of autonomous cars killing pedestrians and newly automated establishments laying off their workforce. The combination of headlines …
Google started its annual I/O conference yesterday. It was packed full of AI applications showing that Google really is going 'AI First.' It even changed its research arm name from Google Research to Google AI. But perhaps the most draw dropping demonstration was when Google used an AI to make calls and book appointments. I …
Digitopoly 