Facepalm: Training generative AI models requires coordination and cooperation among many developers, and additional security checks should be in place. Microsoft is clearly lacking in this regard, as the corporation has put vast amounts of data at risk for years.
TL;DR: Private companies are in desperate need for additional GPU computing capabilities to train their new generative AI services, yet they are encountering significant challenges in obtaining them. In contrast, researchers involved in US supercomputing projects currently have access to potent Nvidia GPU nodes at a substantial discount, albeit for a limited time.
Facepalm: AI algorithms are well known for being unreliable and untrustworthy for journalism reporting or factual documentation. And yet, media companies are extremely eager to jump on the AI bandwagon anyway. They can always retreat from their "experiments" and ask for forgiveness later, after all.
What just happened? At this year's Hot Chips conference in Palo Alto, California, Intel revealed a ton of information about its 2024 Xeon CPUs for data centers. The company also detailed how it is using AI technology to improve the power efficiency of its next-gen desktop processor lineup.
Why it matters: Market intelligence company IDC is once again forecasting the future of the technology industry. The PC market is poised to experience a record decline this year, but it will get much better in 2024.