Contextualizing Noise with Blackbird's Compass

This week Jason Howell and Jeff Jarvis talk with Dan Patterson of Blackbird.ai about their context-providing service Compass before diving into the week's top AI stories including Google's "biased" Gemini model, data sharing deals between companies like Reddit for model training, and the risks and benefits of open sourcing AI systems.

INTERVIEW

Overview of Blackbird AI's mission to track narrative threats and attacks like misinformation and disinformation

Introduction of Blackbird's new product Compass for providing context around claims using AI analysis

Explanation of how Compass works to check claims and provide contextual information from authoritative sources

Discussion around Compass being built on Blackbird's Raven Risk large language model (LLM) and related APIs

Examples provided of using Compass for real-world claims like "Is the earth flat?"

Intention for Compass to help provide clarity and essential context to media content

Discussion around target users for Compass - social media companies, comms agencies, journalists

Explanation that Compass determines authority based on how authoritative sites reference each other

Discussion around Compass having a framework for integrating with fact-checking databases

NEWS

Discussion around the challenges and nuances of implementing guardrails for AI

News segment on Google's Gemini model controversy over biased image generation

Deals emerging between tech companies to sell data for AI model training, including Reddit-Google and rumored Tumblr-OpenAI

Tyler Perry putting his studio expansion plans on hold due to the emergence of AI like OpenAI's Sora

Analysis of benefits and risks of open-sourcing AI models

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