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Transforming Crime Detection and Privacy Concerns with AI

This week’s meetup took us down the path of AI and crime detection with a whole series of new tools and approaches being trialed in the U.K. How will these tools transform crime detection? 

And can they put to bed decades-old cold cases by doing the hard graft of policing where humans fall down. 

Some amazing insights and perspectives from Ana and Alan this week. 

Attendees

  • Harry Verity (host)
  • Nuno (AI and Design, Burger King)
  • Will (Product Manager, The Intelligent Marketer, streaming in from Australia)
  • Michael 
  • Josh
  • Igor
  • Alex
  • Douglas
  • Daniel
  • Joël
  • Alan (ML Engineer)
  • Matt (iOS Developer)
  • Justin (Y Combinator Grad)
  • Ana 
  • Several other unnamed participants

Key Takeaways

  • AI is being trialed by police to analyze large datasets and solve cold cases, raising both efficiency and privacy concerns
  • Amazon and other companies are developing AI tools for generating video ads and content, potentially disrupting traditional advertising
  • There’s debate around whether models like Meta’s LLaMA are truly “open source”, highlighting tensions between openness and commercial interests
  • Multi-agent AI systems and improved reasoning capabilities are seen as key steps towards more advanced AI by companies like OpenAI
  • Participants expressed mixed views on the use of AI in law enforcement, with concerns about privacy and potential misuse balanced against potential benefits

Topics

1. AI in Law Enforcement

  • Avon and Somerset Police trialing AI tool to analyze case data
  • Can process in 1 day what would take 81 years manually
  • Anna expressed strong concerns about privacy and potential misuse, especially in non-democratic countries
  • Alan noted the high cost of developing these systems might justify some limitations on openness
  • Douglas shared an anecdote about police inefficiency in using technology, highlighting the need for better training

2. AI-Generated Advertising

  • Amazon developing AI video generator for product ads
  • Will summarize email content, potentially disrupting cold email marketing
  • Will discussed the potential impact on marketing strategies and personalization

3. Open Source AI Debate

  • Meta’s LLaMA model criticized for not being fully open source
  • Only releases weights, not training data or full code
  • Alan explained the technical aspects of what’s needed to fully replicate a model
  • Matt noted the difficulty of finding truly open source models in the current landscape

4. Multi-Agent AI Systems

  • OpenAI focusing research on multi-agent systems
  • Will shared his experiments with replicating some of O1’s reasoning capabilities using prompt engineering
  • Nuno discussed the potential of chain prompting to improve model performance

5. Video Generation Advancements

  • Models like Runway Gen 3 can transform existing video footage
  • Demonstrated with video game graphics upgrade example
  • Several participants expressed amazement at the capabilities shown

Opinions and Discussions

  • Ana shared personal experiences with law enforcement inefficiency and expressed strong concerns about AI potentially exacerbating power imbalances
  • Alan provided technical insights on model architecture and the challenges of truly open-sourcing AI models
  • Will shared practical experiences with using AI for marketing and content creation
  • Nuno contributed insights on chain prompting and AI-assisted translation
  • Matt discussed the challenges of implementing AI in non-tech-savvy environments
  • Several participants debated the ethics and practicality of open source AI models

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