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"Air Canada came under further criticism for later attempting to distance itself from the error by claiming that the bot was "responsible for its own actions". Amid a broader push by companies to automate services, the case - the first of its kind in Canada - raises questions about the level of oversight companies have over the chat tools."

"Search for Common Ground designed BridgeBot together with TangibleAI after our research revealed that most people shy away - or turn away - from discussions online once they heat up. We learned that few people felt comfortable responding, and even fewer felt that they could be constructive. BridgeBot acts like a companion to help social media users think differently about how to deal with differences, by equipping them with skills and perspectives on empathy, identity, perception and non-violent communication."

"Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called "AI hallucinations". We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems."

"The mother of a teenager who killed himself after becoming obsessed with an artificial intelligence-powered chatbot now accuses its maker of complicity in his death. Megan Garcia filed a civil suit against Character.ai, which makes a customizable chatbot for role-playing, in Florida federal court on Wednesday, alleging negligence, wrongful death and deceptive trade practices. Her son Sewell Setzer III, 14, died in Orlando, Florida, in February. In the months leading up to his death, Setzer used the chatbot day and night, according to Garcia."

"Writing in the journal Science, Summerfield and colleagues from Google DeepMind report how they built the "Habermas Machine" - an AI system named after the German philosopher Jürgen Habermas. The system works by taking written views of individuals within a group and using them to generate a set of group statements designed to be acceptable to all. Group members can then rate these statements, a process that not only trains the system but allows the statement with the greatest endorsement to be selected."

"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"

"The researchers found that the cost of the computational power required to train the models is doubling every nine months. This is a prodigious rate of growth-at this rate, the cost of the hardware and electricity needed to build cutting-edge AI systems alone would be in the billions by later this decade, without accounting for other costs such as employee compensation."

"Pliny the Prompter is known for his ability to disrupt the world's most robust artificial intelligence models within approximately thirty minutes. This pseudonymous hacker has managed to manipulate Meta's Llama 3 into sharing instructions on creating napalm and even caused Elon Musk's Grok to praise Adolf Hitler. One of his own modified versions of OpenAI's latest GPT-4o model, named "Godmode GPT," was banned by the startup after it started providing advice on illegal activities."

""An emotionally intelligent human does not usually claim they can accurately put a label on everything everyone says and tell you this person is currently feeling 80% angry, 18% fearful, and 2% sad," says Edward B Kang, an assistant professor at New York University writing about the intersection of AI and sound. "In fact, that sounds to me like the opposite of what an emotionally intelligent person would say." Adding to this is the notorious problem of AI bias. "Your algorithms are only as good as the training material," Barrett says. "And if your training material is biased in some way, then you are enshrining that bias in code.""

"Recent experiments suggest AI peer reviews tend to be surprisingly good, with 82.4% of scientists finding AI peer reviews more useful than at least some of the human reviews they received from on a paper, and other work suggests AI is reasonably good at spotting errors, though not as good as humans, yet. Regardless of how good AI gets, the scientific publishing system was not made to support AI writers writing to AI reviews for AI opinions for papers later summarized by AI. The system is going to break."

"ChatGPT can help with reframing thoughts and situations, similar to cognitive behavioural therapy - but "some clients can start to use it as a substitute for therapy", Masterson says. "I've had clients telling me they've already processed on their own, because of what they've read - it's incredibly dangerous." She has had to ask some clients to cease their self-experiments while in treatment with her. "It's about you and me in the room," she says. "You just cannot have that with text - let alone a conglomeration of lots of other people's texts." Self-directed chatbot therapy also risks being counterproductive, shrinking the area of inquiry. "It's quite affirmative; I challenge clients," says Masterson. ChatGPT could actually cement patterns as it draws, over and again, from the same database: "The more you try to refine it, the more refined the message becomes.""

"Halfway through their three-hour conversation, Brown said something that caught me off-guard. In hindsight, it isn't all that surprising-as long as you're aware of the latest advances-but it may still shock you coming from a physics university professor: A lot of physics professors are using [large language models] just as personal tutors.1"

The moral of that story is clear. The spreadsheet was a revolutionary technology when it first appeared in 1978, just as ChatGPT was in 2022. But now it's a routine, integral part of organisation life. The advent of AI "agents" built from GPT-like models looks like following a similar pattern. In turn, the organisations that have absorbed them will also evolve. And then the world may eventually rediscover that famous adage attributed to Marshall McLuhan's colleague John Culkin: "We shape our tools and then the tools shape us."

"The Professors Are Using ChatGPT, and Some Students Aren't Happy About It Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs."

"Dartmouth College experts recently conducted the first clinical trial of an AI chatbot designed specifically for providing mental health assistance. Called Therabot, the AI assistant was tested in the form of an app among participants diagnosed with serious mental health problems across the United States. "The improvements in symptoms we observed were comparable to what is reported for traditional outpatient therapy, suggesting this AI-assisted approach may offer clinically meaningful benefits," notes Nicholas Jacobson, associate professor of biomedical data science and psychiatry at the Geisel School of Medicine."

"AI models will inevitably have to make value judgments. If we want those judgments to be congruent with our own values (which is, after all, the central goal of AI alignment research) then we need to have ways of testing which values a model expresses in the real world. Our method provides a new, data-focused method of doing this, and of seeing where we might've succeeded-or indeed failed-at aligning our models' behavior."

"When employees at meta started developing their flagship AI model, Llama 3, they faced a simple ethical question. The program would need to be trained on a huge amount of high-quality writing to be competitive with products such as ChatGPT, and acquiring all of that text legally could take time. Should they just pirate it instead?"

"Our estimate of the length of tasks that an agent can complete depends on methodological choices like the tasks used and the humans whose performance is measured. However, we're fairly confident that the overall trend is roughly correct, at around 1-4 doublings per year. If the measured trend from the past 6 years continues for 2-4 more years, generalist autonomous agents will be capable of performing a wide range of week-long tasks."

"We typically begin the semester by asking students to reflect on the formulas they've learned in the past and to consider how those shape their writing. We now ask those same reflection questions about AI outputs. Student responses, as Jennifer has written elsewhere, are revealing: The kind of writing that Chat does, it's what our teachers try to get us to do. It's like five-paragraph essays, and perfect paragraph[s] that don't have any personality, which we were taught in high school. It does what school has trained us to do. Like write a perfectly formatted essay that is based on some random people's ideas."

"And so I think this is a crisis. I think the biggest part of the crisis is for teachers. A lot of people suggest teachers go back to Blue Book exams, right? At least then we can make sure that the student is really doing their work. But that's just a huge burden on teachers now to completely reorganize the entire way that they administer education. I couldn't agree more. Kevin Roose of the New York Times recently said, "if students can cheat with ChatGPT then you need to rethink your teaching." Well, I've been working in education for almost two decades, that's exactly what people said when smartphones came around. And now, 10 years later, we've come around to just banning them in school, or trying to anyway. And I wonder if we're going to need to wait a decade before reaching that conclusion in education."