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Contextualizing Noise with Blackbird's Compass

Contextualizing Noise with Blackbird's Compass

FromAI Inside


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 Inside is a podcast that explores the complexities of artificial intelligence and its impact on the world at large. Hosted by veteran tech podcaster Jason Howell and media expert Jeff Jarvis, AI Inside takes a thoughtful look at the promise and challenges of AI. With a deep interest in the impacts AI can have on art and culture, Jason uses his rich experience in technology and creativity to better understand its capabilities. Jeff is a respected voice on technology's influence on media and society, thanks to his popular blog Buzzmachine and books like "Public Parts" and "The Gutenberg Parenthesis." Together, Jason and Jeff engage in thoughtful dialogue about AI, neither overhyping its potential nor dismissing public concerns about its development. With intelligence and nuance, AI Inside aims to advance public understanding of this world-changing technology at an important inflection point. Hosted on Acast. See acast.com/privacy for more information.