I'm not really sure what to say. But phew, I sure as hell won't turn to ChatGPT to compensate, because my god, I'm grieving – "election grief is real" – and some advanced text predictor that promises to compensate for my "loss for words" is not going to do
LLMDeathCount.com
Large Language Models like ChatGPT have led people to their deaths, often by suicide. This site serves to remember those who have been affected, to call out the dangers of AI that claims to be intelligent, and the corporations that are responsible.
'Tell Everyone:' A Man Died by Suicide After Talking to ChatGPT. His Former Partner Wants to Warn the World About AI
After allegedly becoming emotionally reliant on ChatGPT, Austin died at 40 years old, leaving behind family and friends who loved him. Megan wants everyone to know what happened.
Never Mind The Deepfakes, Chatbots Have To Deal With Election Lies Being Free, While Truth Is Paywalled
It seems that every election cycle over the last decade has had concerns being raised about the state of “political deepfakes” and their ability to impact the election. So far, these ha…
We come to bury ChatGPT, not to praise it.
Large language models (LLMs) like the GPT family learn the statistical structure of language by optimising their ability to predict missing words in sentences (as in ‘The cat sat on the [BLANK]’). Despite the impressive technical ju-jitsu of transformer models and the billions of parameters they learn, it’s still a computational guessing game. ChatGPT is, in technical terms, a ‘bullshit generator’. If a generated sentence makes sense to you, the reader, it means the mathematical model has made sufficiently good guess to pass your sense-making filter. The language model has no idea what it’s talking about because it has no idea about anything at all. It’s more of a bullshitter than the most egregious egoist you’ll ever meet, producing baseless assertions with unfailing confidence because that’s what it’s designed to do. It’s a bonus for the parent corporation when journalists and academics respond by generating acres of breathless coverage, which works as PR even when expressing concerns about the end of human creativity.
Looking for the Light Today
My friend Stephanie wrote a beautiful blog post today entitled, “Looking for the Light Today”. She points out the many things we can be grateful for today in light of a devastating Presidential election result. We are not upset because she lost, but rather because he won. He stands firmly against so many of my friends and family that I cannot rightly shrug this off.
‘I created my mom and talk to her’: AI ghosts and deathslop are changing the way we mourn
The rise of AI-generated tributes and bots for ‘talking’ to the dead has experts concerned more people will grieve in isolation
I've been dying to talk about the mail with you all day
57K votes, 411 comments. 719K subscribers in the NonPoliticalTwitter community. Twitter and Bluesky without the politics. Come vibe with us as we…
“How Does It Feel To Be Losing So Badly?”
There’s a campaign dynamic now coming into view which under other circumstances...
Lost in translation
74K votes, 423 comments. 719K subscribers in the NonPoliticalTwitter community. Twitter and Bluesky without the politics. Come vibe with us as we…
ChatGPT Keeps Telling People 404 Media Can Solve Their Tech Support Problems
Because big tech doesn't do customer service, we are being inundated with AI-generated emails begging us for help.
ChatGPT is bullshit
Ethics and Information Technology - Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of...
QuitGPT — ChatGPT took Trump's killer robot deal
Join the movement. Delete ChatGPT. Cancel your subscription. It's time to quit.
Watch out! It's not a good idea to ask AI chatbots about the U.S. elections because they get it wrong—especially in Spanish. - Factchequeado.com
By Laura ZommerThe six leading AI chatbots provided inaccurate, incomplete, or outdated answers to 29% of basic questions…
Who does your assistant serve?
ChatGPT and its consequences have been a disaster for the human race.
The Trump Assassination Attempt Meets the Internet’s Brain-Rot Era
Today’s social platforms can instantly convert even the most harrowing news events into misleading tidbits and gleefully empty jokes.
Deep Storytelling: Collective Sensemaking and Layers of Meaning in U.S. Elections
Misinformation and disinformation about elections remain pressing concerns for researchers, policymakers, and the public. Critics, however, argue that fears surrounding these issues are exaggerated due to a lack of evidence of impact. This debate highlights the challenges inherent in assessing the impacts of misinformation, as the drivers of false and misleading content often exist in the context of a specific claim. To address this issue, we examined false and misleading information surrounding the 2020 and 2022 U.S. national elections, focusing on the contextual features of online conversations that fueled various rumors. We developed two qualitative codebooks, creating the second after realizing that the first, which labeled individual tweets, failed to capture broader rumoring dynamics. By integrating multi-layered qualitative coding with thematic analysis and quantitative visualizations, we show how influencers, political elites, and audiences collaboratively told deep stories from 2020 through 2022. As these stories were told, audiences interpreted events in 2022 through the lens of the 2020 story, guided by influencers' cues, leading to an evolution in storytelling style between the two election cycles. This ongoing performance was tailored to align with the incentive structures, affordances, and attention economy of social media. We combine deep stories with theories of collective sensemaking and rumoring, creating a framework to better assess the contextual features surrounding false and misleading information.
