John Feeley, a career diplomat and former ambassador to Panama who resigned in protest during Trump’s first term, said that to understand what’s unfolding in Venezuela, look to the mob, not traditional foreign policy doctrines. “When Donald Trump says, ‘We’re going to run the place,’ I want you to think of the Gambino family taking over the Colombo family’s business out in Queens,” he said. “They don’t actually go out and run it. They just get an envelope.”

The Imitation Game: Using Large Language Models as Chatbots to Combat Chat-Based Cybercrimes

• Chat-based cybercrime has emerged as a pervasive threat, with attackers leveraging real-time messaging platforms to conduct scams that rely on trust-building, deception, and psychological manipulation. Traditional defense mechanisms, which operate on static rules or shallow content filters, struggle to identify these conversational threats, especially when attackers use multimedia obfuscation and context-aware dialogue.
  In this work, we ask a provocative question inspired by the classic Imitation Game: Can machines convincingly pose as human victims to turn deception against cybercriminals? We present LURE (LLM-based User Response Engagement), the first system to deploy Large Language Models (LLMs) as active agents, not as passive classifiers, embedded within adversarial chat environments.
  LURE combines automated discovery, adversarial interaction, and OCR-based analysis of image-embedded payment data. Applied to the setting of illicit video chat scams on Telegram, our system engaged 53 actors across 98 groups. In over 56 percent of interactions, the LLM maintained multi-round conversations without being noticed as a bot, effectively “winning” the imitation game. Our findings reveal key behavioral patterns in scam operations, such as payment flows, upselling strategies, and platform migration tactics.

Now, to be clear, those workers haven’t been laid off because their jobs are now being done by AI, and they’ve been replaced by bots. Instead, they’ve been laid off by execs who now have AI to use as an excuse for going after workers they’ve wanted to cut all along. (From Anil Dash)

Tasks

• Light cleaning
• 4:00 Showing
• Working with Terry on getting out hotel sorted

SBIRs

• Created an enormous tar file of all the pkl files
• Start on the UMAP recoding
  • Reading in the lists of lists and extracting the embeddings