The transformation of healthcare through artificial intelligence is no longer a speculative proposition. It is happening at scale, in hospitals, in living rooms, in clinical trials, and in the benefit packages that hundreds of millions of workers select each year. The CEOs driving this shift are not simply technology founders who saw an opportunity in […]
‘Listen, that's not what I'm here for, right?' | Image: Apple
Our early testing has already shown that Siri AI knows when to shut up, and that's very much by design. In an interview with Mostly Human, Apple's Craig Federighi said new Siri won't act all sycophantic like chatbots made by OpenAI, Google, and others.
"As you may know, if you use many of the existing chatbots, they're really focused on engagement to a large degree," said Federighi who is responsible for software at Apple. "And sycophancy, right? They kind of want to pull you in. They might encourage you to reveal things about yourself, and then use that as a basis to establish a connection."
Apple purposely took a different approach with …
Read the full story at The Verge.
Modern AI systems have evolved beyond the simple chatbots that quickly became popular. Now they use semantic tools to manage workflows and link machines to machines, providing a flexible and effective framework for the next generation of business automation. What you used to build in Microsoft’s Power Platform or construct inside Biztalk is now an agent, built around large language models (LLMs) that can parse both your data and the APIs that you want to use your data with, orchestrating workflows with a level of autonomy that traditional tooling can’t match.
That shift has offered new opportunities, much like those that came with business platforms like Microsoft Dynamics and Salesforce. Here, tools built to solve one set of business problems could be turned into applications that could be sold to other companies. What worked for you to solve one of your problems could now be an added revenue stream, sold through platform marketplaces that helped customers manage installations and cus
Every reader deserves to be informed about whether what they are reading is human or AI
A few weeks ago, Dr Kylie Moore-Gilbert, an academic in political science at Macquarie University, wrote an opinion piece in the Sydney Morning Herald in which she reported on excessive use of AI chatbots by students to write their essays.
In it, she raised her concern that universities are qualifying lawyers, nurses, financial advisers, engineers and teachers who do not have the essential skills required to perform their roles. If that is the case, the societal consequences are obvious.
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Insider Brief The individual cases get the headlines – someone marrying a chatbot, a teenager developing an emotional attachment to ChatGPT, a music producer convinced an AI is sentient. These stories are easy to dismiss as edge cases. For enterprise AI operators and founders, that might be the wrong response. The same psychological patterns driving […]