Aili McConnon

Sep 9, 2024 | ibm.com | Aili McConnon

While large language models are becoming exceptionally good at learning from vast amounts of data, a new technique that does the opposite has tech companies abuzz: machine unlearning. This relatively new approach teaches LLMs to forget or “unlearn” sensitive, untrusted or copyrighted data. It is faster than retraining models from scratch and retroactively removes specific unwanted data or behavior.

Aug 27, 2024 | ibm.com | Aili McConnon

These days, cloud news often gets overshadowed by anything and everything related to AI. The truth is they go hand-in-hand since many enterprises use cloud computing to deliver AI and generative AI at scale. “Hybrid cloud and AI are two sides of the same coin because it’s all about the data,” said Ric Lewis, IBM’s SVP of Infrastructure, at Think 2024. To function well, generative AI systems need to access the data that feeds its models wherever it resides.

Aug 27, 2024 | ibm.com | Aili McConnon

Has the backlash against AI reached a fever pitch? “I really … hate generative AI,” said the CEO of illustration company Procreate in a recent video posted on X. The title above the video: “We’re never going there. Creativity is made not generated.”Procreate’s post hit a nerve—it went viral with close to 10 million views in less than a week—though not the same nerve for everyone.

Aug 5, 2024 | ibm.com | Aili McConnon

Cities started setting record-high temperatures in May, and July 22, 2024, was the hottest day ever in the history of the planet, breaking the latest record set the day before. “As temperatures keep increasing, it’s critical we alert those most vulnerable to extreme heat waves,” says Etienne Vos, a research manager at IBM. Vos is part of a consortium developing an early warning system for extreme heat events, one of many groups across the world creating new AI-powered tools to battle extreme heat.

Jul 15, 2024 | ibm.com | Aili McConnon

In the race to dominate AI, bigger is usually better. More data and more parameters create larger AI systems, that are not only more powerful but also more efficient and faster, and generally create fewer errors than smaller systems. The tech companies seizing the news headlines reinforce this trend. “The system that we have just deployed is, scale-wise, about as big as a whale,” said Microsoft CTO Kevin Scott about the supercomputer that powers Chat GPT-5.