Public polling is a critical function of modern political campaigns and movements, but it isn’t what it once was. Recent US election cycles have produced copious postmortems explaining both the successes and the flaws of public polling. There are two main reasons polling fails. First, nonresponse has skyrocketed. It’s radically harder to reach people than … Read More “Using AI for Political Polling” »
Category: LLM
Auto Added by WPeMatico
New research: “Deception abilities emerged in large language models“: Abstract: Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Thus, aligning them with human values is of great importance. However, given the steady increase in reasoning abilities, future LLMs are under suspicion of becoming able … Read More “LLMs Acting Deceptively” »
A piece I coauthored with Fredrik Heiding and Arun Vishwanath in the Harvard Business Review: Summary. Gen AI tools are rapidly making these emails more advanced, harder to spot, and significantly more dangerous. Recent research showed that 60% of participants fell victim to artificial intelligence (AI)-automated phishing, which is comparable to the success rates of … Read More “AI Will Increase the Quantity—and Quality—of Phishing Scams” »
I don’t think it’s an exaggeration to predict that artificial intelligence will affect every aspect of our society. Not by doing new things. But mostly by doing things that are already being done by humans, perfectly competently. Replacing humans with AIs isn’t necessarily interesting. But when an AI takes over a human task, the task … Read More “How AI Will Change Democracy” »
Back in the 1960s, if you played a 2,600Hz tone into an AT&T pay phone, you could make calls without paying. A phone hacker named John Draper noticed that the plastic whistle that came free in a box of Captain Crunch cereal worked to make the right sound. That became his hacker name, and everyone … Read More “LLMs’ Data-Control Path Insecurity” »
There’s a new report on how criminals are using generative AI tools: Key Takeaways: Adoption rates of AI technologies among criminals lag behind the rates of their industry counterparts because of the evolving nature of cybercrime. Compared to last year, criminals seem to have abandoned any attempt at training real criminal large language models (LLMs). … Read More “How Criminals Are Using Generative AI” »
Canadian legislators proposed 19,600 amendments—almost certainly AI-generated—to a bill in an attempt to delay its adoption. I wrote about many different legislative delaying tactics in A Hacker’s Mind, but this is a new one. Powered by WPeMatico
This mini-essay was my contribution to a round table on Power and Governance in the Age of AI. It’s nothing I haven’t said here before, but for anyone who hasn’t read my longer essays on the topic, it’s a shorter introduction. The increasingly centralized control of AI is an ominous sign. When tech billionaires … Read More “Public AI as an Alternative to Corporate AI” »
Oh, how the mighty have fallen. A decade ago, social media was celebrated for sparking democratic uprisings in the Arab world and beyond. Now front pages are splashed with stories of social platforms’ role in misinformation, business conspiracy, malfeasance, and risks to mental health. In a 2022 survey, Americans blamed social media for the coarsening … Read More “AI and the Evolution of Social Media” »
Researchers have demonstrated that putting words in ASCII art can cause LLMs—GPT-3.5, GPT-4, Gemini, Claude, and Llama2—to ignore their safety instructions. Research paper. Powered by WPeMatico