Weekend Reads 042624

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has issued its seventh annual AI Index Report, which reports a thriving industry facing growing costs, regulations, and public concern.

At a time when no one expected progress on the U.S. federal privacy front, a new discussion draft for a comprehensive consumer privacy bill has emerged with bipartisan and bicameral support.

There is a new way for folks to track and spy on you. A recent article in the MIT Technology Review described how WiFi tracking has become a usable technology.

How would AI help produce victims? ‘Deep fake’ video technology. We previously saw, in ‘Human Impersonation AI Must be Outlawed,’ how extortion videos could target millions of individuals worldwide simultaneously every day.

A few weeks ago, I got a bit miffed reading yet another article that was too dismissive about memory safety, basically being mostly dismissive about the need for change.

Combined heat and power using waste heat recovery is a natural for AI/data centers deserves more consideration. We hope that we have lit that spark.

Larry Sanger remembers the promise of the web. He co-founded Wikipedia in 2001, with the hope that it could sustain a “free and open” Internet—a place where information, dissent, and creativity could thrive.

Everyone is in a big hurry to get the latest and greatest GPU accelerators to build generative AI platforms. Those who can’t get GPUs, or have custom devices that are better suited to their workloads than GPUs, deploy other kinds of accelerators.

To help both seasoned privacy practitioners and newcomers navigate this thicket, the IAPP has published a fully revised second edition of “Cybersecurity Law Fundamentals,” in which we distill the onslaught of laws, regulations, class-action lawsuits and enforcement actions. Here we summarize some of the trends we have noted.

Production of some models of Z80 processor – one of the chips that helped spark the personal computing boom of the 1980s – is set to end after an all-too-brief 48 years.

On the other hand, the media places less emphasis on negative news such as announcements that Amazon would abandon its cashier-less technology called “Just Walk Out,” because it wasn’t working properly.

And one of the key insights that the Meta AI research team had with the Llama family of models is that you want to optimize for the lowest cost, highest performance AI inference with any model and then deal with the inefficiencies that might result from AI training.