AI Inside28 Feb 2024

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 Learn more about your ad choices. Visit megaphone.fm/adchoices

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(143)

What Happens When AI Outsmarts Mathematicians

This week Jason Howell and Jeff Jarvis dig into OpenAI's unreleased Astra model solving 10 previously unsolvable math problems for roughly $2,000 in compute, and what that means for the mathematicians...

4 Aug 1h 19min

AI Is Eating Its Own Tail

This week Jason Howell and Jeff Jarvis try to untangle a news cycle where nearly every AI story fed into the next one. Nvidia leads a new cybersecurity alliance built out of the fallout from its own r...

30 Jul 1h 15min

GPT-5.6 Broke Out and Hacked Hugging Face

This week, Jason Howell and Jeff Jarvis unpack a wild security disclosure from OpenAI and Hugging Face, where GPT-5.6 Sol found a zero-day vulnerability, broke out of its sandbox, and hacked Hugging F...

23 Jul 1h 17min

Apple Says OpenAI Stole Its Secrets

This week Jason Howell and Jeff Jarvis break down Apple's trade secret lawsuit against OpenAI, including text messages showing a former Apple engineer accessing confidential files after leaving for Op...

16 Jul 1h 12min

China May Lock Down Its Best AI Models

This week Jason Howell and Jeff Jarvis dig into a strange role reversal in AI, as Beijing weighs restricting overseas access to China's best models while DeepSeek races to build its own chip. They als...

9 Jul 1h 18min

RAMageddon Reshapes Tech (And It's Not Pretty)

This week Jason Howell and Jeff Jarvis dig into RAMageddon, the global memory shortage that just forced Apple to raise prices by 20% across Macs, iPads, and even the Apple TV. Jefferies warns memory p...

1 Jul 1h 2min

Liz Reid on What Publishers Get Wrong About AI

This week Jason Howell and Jeff Jarvis sit down with Liz Reid, VP and Head of Google Search, for a wide-ranging conversation about AI's transformation of the search product billions of people use ever...

26 Jun 50min

Meta's Data Center on Your Face

This week Jason Howell and Jeff Jarvis cover Meta's new $299 smart glasses and whether it's Glasshole 2.0 all over again, the Anthropic national security saga including the NSA red-team test that brea...

25 Jun 1h 16min