62 min listen
Contextualizing Noise with Blackbird's Compass
FromAI Inside
ratings:
Length:
57 minutes
Released:
Feb 28, 2024
Format:
Podcast episode
Description
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.INTERVIEWOverview of Blackbird AI's mission to track narrative threats and attacks like misinformation and disinformationIntroduction of Blackbird's new product Compass for providing context around claims using AI analysisExplanation of how Compass works to check claims and provide contextual information from authoritative sourcesDiscussion around Compass being built on Blackbird's Raven Risk large language model (LLM) and related APIsExamples 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 contentDiscussion around target users for Compass - social media companies, comms agencies, journalistsExplanation that Compass determines authority based on how authoritative sites reference each otherDiscussion around Compass having a framework for integrating with fact-checking databasesNEWSDiscussion around the challenges and nuances of implementing guardrails for AINews segment on Google's Gemini model controversy over biased image generationDeals emerging between tech companies to sell data for AI model training, including Reddit-Google and rumored Tumblr-OpenAITyler Perry putting his studio expansion plans on hold due to the emergence of AI like OpenAI's SoraAnalysis of benefits and risks of open-sourcing AI models Hosted on Acast. See acast.com/privacy for more information.
Released:
Feb 28, 2024
Format:
Podcast episode
Titles in the series (16)
AI Positive: Rich Skrenta from Common Crawl Foundation by AI Inside