Author archives

These Tools Say They Can Spot AI Fakes. Do They Really Work?

The New York Times Gift Article: “Content generated by artificial intelligence has become so lifelike that it’s often impossible to tell whether a video or an image floating through social media is real or fake. Enter the A.I. detector. More than a dozen online tools claim they can tell the difference between what’s real and …

Subjects: AI, E-Records, Internet, Knowledge Management, Legal Research

How I Use ChatGPT to Create a CLE PowerPoint Deck

Via LLRX – How I Use ChatGPT to Create a CLE PowerPoint Deck – Jennifer Ellis documents the step-by-step process and prompts she used to create an effective ChatGPT PowerPoint presentation on cybersecurity. This template is applicable to multiple subject matters. Ellis allows highlights relevant sources and tools for attorneys to use to create AI generated …

Subjects: AI, Education, Internet, Knowledge Management, Legal Research, Marketing

How Polymarket and Kalshi are gamifying truth

“Users of Kalshi and its primary rival, Polymarket, can bet on events major and minor, from politics to sports to culture to the weather. Recent markets on Kalshi have included whether certain words would be used during a Palantir Technologies Inc. earnings call, whether Elon Musk would win his court case against OpenAI and whether …

Subjects: AI, Economy, Financial System, Internet, Legal Research, Social Media

AI Under the Hood

Via LLRX – AI Under the Hood – Knowing the difference between a general AI tool and one trained on specific sources can mean the difference between getting an accurate answer and becoming quickly frustrated with outcomes that either don’t answer the question thoroughly or answer the question in a confused mixture of fact and fiction. While …

Subjects: AI, Education, Internet, Knowledge Management, Legal Research

AIs can generate near-verbatim copies of novels from training data

Ars Technica: “The world’s top AI models can be prompted to generate near-verbatim copies of bestselling novels, raising fresh questions about the industry’s claim that its systems do not store copyrighted works. A series of recent studies has shown that large language models from OpenAI, Google, Meta, Anthropic, and xAI memorize far more of their …

Subjects: AI, Copyright, Intellectual Property, Internet, Legal Research

This App Warns You if Someone Is Wearing Smart Glasses Nearby

404 Media [no paywall] – The creator of Nearby Glasses made the app after reading 404 Media’s coverage of how people are using Meta’s Ray-Bans smartglasses to film people without their knowledge or consent: “A new hobbyist developed app warns if people nearby may be wearing smart glasses, such as Meta’s Ray-Ban glasses, which stalkers …

Subjects: Civil Liberties, E-Records, Legal Research, Privacy

The Stain Solver

The Stain Solver spotless.neocities.org – Stain? Don’t panic. Don’t rub. Just fix it. Select the Satin – Select the fabric – step by step method to remove stains is delivered.

Subjects: Internet

Here’s What a Google Subpoena Response Looks Like, Courtesy of the Epstein Files

Wired – no paywall: “Last month, the Department of Justice released over 3 million documents related to convicted sex offender Jeffrey Epstein. While the dumps shed light on Epstein’s own social circle and activities, they also provide a rare window into the inner workings of a federal investigation, including how tech companies like Google respond …

Subjects: Civil Liberties, E-Mail, E-Records, Knowledge Management, Legal Research, Privacy

I Verified My LinkedIn Identity. Here’s What I Actually Handed Over.

The Local Stack: “I wanted the blue checkmark on LinkedIn. The one that says “this person is real.” In a sea of fake recruiters, bot accounts, and AI-generated headshots, it seemed like a smart thing to do. So I tapped “verify.” I scanned my passport. I took a selfie. Three minutes later — done. Badge …

Subjects: AI, Civil Liberties, E-Records, Legal Research, Privacy, Social Media

Introducing Acme Weather

Acme Weather: “Our homegrown forecasts are produced using many different data sources, including numerical weather prediction models, satellite data, ground station observations, and radar data. Most of the time, our forecast will be a reliable source of information (it’s better than the one we had at Dark Sky). But, crucially, we supplement the main forecast …

Subjects: Climate Change, Environmental Law, Internet, Search Engines