Are AI Agents the Future?

IBM talks Use Cases and learn how AI works behind the interface (plus an AI comic)

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Welcome to Crawl Walk Run AI, curated by Brad Reynolds and Brian Diehl. We hope you're enjoying this weekly newsletter focused on keeping you informed about the AI world. Let us know if there are any topics you'd like to read about!
  • Apple offers up to $1 million for AI security vulnerabilities discovered.

  • Introduces Private Cloud Compute to ensure user data privacy and security.

  • Security guide and research tools enable deep exploration of AI systems.

  • Bounty encourages researchers to identify potential security weaknesses.

  • Claude 3.5 Sonnet improves coding, works faster with same cost and speed.

  • Can interact with computers like humans—for automated tasks.

  • Testers like GitLab confirm significant improvements without added latency.

  • Developers can use Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI.

  • IBM offers scalable AI for enterprise use - like customer service, IT automation and more.

  • Models with Apache 2 license, allows flexibility/robust ecosystem growth.

  • Focus is on model performance, safety, reducing AI costs for enterprises.

  • Granite 3.0 moves toward generative computing, programming by examples instead of instructions.

  • Perplexity AI plans to launch ads in its search app in Q4 2024.

  • The app has 2 million+ downloads and handles 230 million queries monthly.

  • U.S. queries in the app have increased eightfold in the last year.

  • Latest funding round in April valued Perplexity AI at over $1 billion.

  • Project Jarvis automates browsing tasks like visiting websites and filling forms.

  • Does tasks per user instructions, enhancing online shopping and booking.

  • Jarvis operates within Chrome, using AI Vision to decide clicks and actions.

  • Anticipated by December, possibly limited to Gemini Advanced subscribers.

  • Ethan Mollick, a professor studying AI at the Wharton School of the University of Pennsylvania.

  • AI works like an advanced autocomplete by predicting next words in context.

  • AI is trained on vast text data which guides its ability to generate responses.

  • AI focuses on current context; it doesn't retain information across sessions.

  • Use AI practically, even for fun, reveal valuable use patterns and capabilities.

If you have any data or AI topics you'd like us to cover, or if you have questions about implementing Artificial Intelligence in your organization, please reach out to Brian.  It's a pleasure exploring this new world of technology with you all.

Sincerely,
Brad and Brian

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