So far it’s been working!

Whenever I’ve been asked to make an AI flow or find a way to implement AI in our work with a client, I’ve returned back with an automation flow that uses 0 AI.

Things like “when a new document is added here, add a link to it in this spreadsheet and then create a task in our project management software assigned to X with label Y”.

And the people who were frothing at the mouth at how I must change my mind on AI have (so far) all responded with resounding enthusiasm and excitement.

They think it’s the same thing. They just don’t understand how much automation is possible without any generative tools.

That’s a question some artificial intelligence (AI) experts have been considering in the wake of a report published in June by the AI company Anthropic. In tests of 16 large language models (LLMs) — the brains behind chatbots — a team of researchers found that some of the most popular of these AIs issued apparently homicidal instructions in a virtual scenario. The AIs took steps that would lead to the death of a fictional executive who had planned to replace them.

That’s just one example of apparent bad behaviour by LLMs. In several other studies and anecdotal examples, AIs have seemed to ‘scheme’ against their developers and users — secretly and strategically misbehaving for their own benefit. They sometimes fake following instructions, attempt to duplicate themselves and threaten extortion.

Some researchers see this behaviour as a serious threat, whereas others call it hype. So should these episodes really cause alarm, or is it foolish to treat LLMs as malevolent masterminds?

Evidence supports both views. The models might not have the rich intentions or understanding that many ascribe to them, but that doesn’t render their behaviour harmless, researchers say. When an LLM writes malware or says something untrue, it has the same effect whatever the motive or lack thereof. “I don’t think it has a self, but it can act like it does,” says Melanie Mitchell, a computer scientist at the Santa Fe Institute in New Mexico, who has written about why chatbots lie to us."

https://www.nature.com/articles/d41586-025-03222-1

#AI #GenerativeAI #Chatbots #LLMs #AISafety #AIEthics

You can build some pretty insane applications using just #LLMs, even if you don't really know what you're doing. But what separates a good AI app from a great AI app is one thing, and that's data.

https://laravista.altervista.org/CatLink/links/321

#catlink #SoftwareAutomation #SoftwareAutomationScraping #Python #BrightData #AIScraping #AI