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People are falling in love with — and getting addicted to — AI voices Even OpenAI warns that chatting with an AI voice can breed “emotional reliance.” “This is our last day together.” It’s something you might say to a lover as a whirlwind romance comes to an end. But could you ever imagine saying it to… software? Well, somebody did. When OpenAI tested out GPT-4o, its latest generation chatbot that speaks aloud in its own voice, the company observed users forming an emotional relationship with the AI — one they seemed sad to relinquish. In fact, OpenAI thinks there’s a risk of people developing what it called an “emotional reliance” on this AI model, as the company acknowledged in a recent report. “The ability to complete tasks for the user, while also storing and ‘remembering’ key details and using those in the conversation,” OpenAI notes, “creates both a compelling product experience and the potential for over-reliance and dependence.” That sounds uncomfortably like addiction. And OpenAI’s chief technology officer Mira Murati straight-up said that in designing chatbots equipped with a voice mode, there is “the possibility that we design them in the wrong way and they become extremely addictive and we sort of become enslaved to them.” What’s more, OpenAI says that the AI’s ability to have a naturalistic conversation with the user may heighten the risk of anthropomorphization — attributing humanlike traits to a nonhuman — which could lead people to form a social relationship with the AI. And that in turn could end up “reducing their need for human interaction,” the report says. Nevertheless, the company has already released the model, complete with voice mode, to some paid users, and it’s expected to release it to everyone this fall. OpenAI isn’t the only one creating sophisticated AI companions. There’s Character AI, which young people report becoming so addicted to that that they can’t do their schoolwork. There’s the recently introduced Google Gemini Live, which charmed Wall Street Journal columnist Joanna Stern so much that she wrote, “I’m not saying I prefer talking to Google’s Gemini Live over a real human. But I’m not not saying that either.” And then there’s Friend, an AI that’s built into a necklace, which has so enthralled its own creator Avi Schiffmann that he said, “I feel like I have a closer relationship with this fucking pendant around my neck than I do with these literal friends in front of me.” The rollout of these products is a psychological experiment on a massive scale. It should worry all of us — and not just for the reasons you might think. Emotional reliance on AI isn’t a hypothetical risk. It’s already happening. https://lnkd.in/gYjA6Mxi

Turing Test: The surprisingly queer history of OpenAI's ChatGPT and other A.I. bots - Slate: Turing Test: The surprisingly queer history of OpenAI's ChatGPT and other A.I. bots  Slate http://dlvr.it/T8fRtQ #ai #artificialintelligence

Just recorded an amazing convo with my friend Kevin Rapp about the nuances of using or not using generative AI. Kevin and I are both creatives and strategists with different backgrounds and skillsets, both of us with decades of experience. It was a fascinating convo, where we touched upon critical issues such as: --The ethical concerns of generated AI --The mediocrity of generated AI --The perception toward brands that use generative AI --What generative AI cannot replace --An entire generation of marketers and creatives coming up with these tools and never 'doing the work' Would you be interested in watching/listening to this conversation? What are your current thoughts or concerns about tools like ChatGPT or Midjourney, etc?

Something I'm having to remind business and executive coaches. Chatbots are not the only AI game in town. Generative AI is a high level AI language metaphorically like computer programming languages like BASIC, Python and C#. There are other algorithms and languages. Language Action Models (LAMs) are more likely to be a focus of the near future than the Large Language Models (LLMs) of chatbots. Let's also not forget algorithms that drive internet Search and Social Media as well as support public services and government departments. Digital forms of Business and Emotional Intelligence aren't a chatbot, yet. They require being curated carefully. Rough prompt engineering will not make up for clear, strategic wrangling as well as precise model or methodology selection that sustains presence in an agile and continuous way.

What the heck is an LLM? 🤔 At least since #chatgpt came out more than a year ago, this term can be seen all over the place: Large Language Model – LLM for short. But despite playing such an integral part in generative AI, its rapidly increased significance can make it hard to keep track of concepts and definitions behind the topic. So here's a quick refresher look at the basics of LLMs ✌ Feel free to share any unanswered questions down below! #llm #aiinsights #aitips

This should be a “must read” for decision makers around the world responsible for introducing automated decisions in public government and for journalists, who should pause inflating the hyped generative AI stories and pay more attention to the societal consequences of the flawed systems already in use. And then we should stop accepting the excuse that “digital systems are difficult to get right” and demand that the decision makers listen a little more to independent experts and a little less to consultants and companies promoting the latest technology. Remember: We can all be hit by the consequences of bad digital decisions- just have a look at the new property assessment system build by Vurderingsstyrelsen.

Earlier today, a group of former and current employees of OpenAI and Google DeepMind published an open letter to warn about advanced AI (https://righttowarn.ai/). In my view, the companies building frontier AI models have a responsibility to ensure the safety of their products and analyze their impacts. Google DeepMind recently published a +270 page report on the dangers of AI agents - which is great! OpenAI on the other hand is keen on applying a social media-like business model to AI, chasing profits without thinking twice about current and potential harms to society. Check out my post 👇

📢 Exciting news! Meet Latimer, the GPT designed to combat racial bias. 👏🏾 By incorporating oral accounts, facts about the histories of POC, and partnering with HBCU's, Latimer strives to do what others have failed to do: train AI with POC in mind. With Latimer, we again attempt to move towards inclusive AI. Let's give credit where it's due- kudos to the team behind Latimer for taking this step towards a more just and fair world. #AI #inclusivity #diversity #racialbias #Latimer

Technology hype cycles come and go; German philosophy, however, has proven to be much more enduring... Hans-Georg Gadamer’s Truth and Method, published in 1960, has inspired me to assess generative AI through an alternative lens in pursuit of “Meaningful dialogue after ChatGPT”. I hope this five-part series provides valuable food for thought, beginning with the core principles of Gadamer’s seminal work and how they can be linked to the world of generative AI. I’d be very interested in hearing your views after reading (my article, that is, rather than the full 600 pages of his book). https://lnkd.in/euaZNV5b

It’s been barely two years since OpenAI came public with #ChatGPT, and we’ve already progressed to the point where large generative language models are at risk of becoming quaintly outdated. Leading this cycle of creative destruction are #AIAgents that promise to radically change our current understanding of how businesses can interact with #AI. #LLMs