The current AI boom has caused many people to worry about losing their jobs, though not to the same extent. In some cases, respected professionals and real scientists have made convincing predictions that “machines will steal your job.” These professions can be seen as canaries in a coal mine, warning of impending change. One such profession is radiology. According to machine learning experts, machines should have taken over this job a long time ago. Yet, oddly enough, they have not been able to do so. This makes the case of radiologists worthy of detailed study and extremely interesting for anyone concerned about the threats of automation.

AI remote patient monitoring seeks to address a longstanding and complex challenge in medicine: translating chaotic streams of health data into a comprehensible and standardized format. This capability empowers medical professionals to prioritize effectively and respond to challenges in a timely manner. The primary “superpower” of AI is transforming a thousand signals, ex. heart rate spikes, into a single, actionable notification: “Pay attention, there is a problem!”

Today, AI is simultaneously a religion and an irritant: some hope that humanity has gotten its hands on a tool for explosive development; for others, the very disclaimer “made by artificial intelligence” already causes irritation. People worry that LLM will take jobs away from millions and, in the longer run, will become a superintelligence that will enslave humanity. And more and more often we hear that multibillion-dollar infusions into the industry are inflating a bubble that will soon burst.

The latest webOS updates on LG TVs have begun automatically installing the Microsoft Copilot app as a system component, with no option to uninstall it. Copilot appears on the home screen alongside standard apps, and users can only hide it. The change has sparked a wave of criticism among LG TV owners, visible for example in a popular Reddit thread.

In response to pressure from the tech industry and increasing competitive challenges from the U.S. and China, the European Union has proposed significant changes to two of its key legal frameworks: the General Data Protection Regulation (GDPR) and the AI Act. The revision introduces simpler rules for data processing, delays enforcement for “high-risk” AI systems, and eases restrictions on cookies.