Wikipedia is turning 25 this month, and it’s never been more important. The online, collectively created encyclopedia has been a cornerstone of the internet decades, but as generative AI started flooding every platform with AI-generated slop over the last couple of years, Wikipedia’s governance model, editing process, and dedication to citing reliable sources has emerged as one of the most reliable and resilient models we have. And yet, as successful as the model is, it’s almost never replicated. This week on the podcast we’re joined by Selena Deckelmann, the Chief Product and Technology Officer at the Wikimedia Foundation, the nonprofit organization that operates Wikipedia. That means Selena oversees the technical infrastructure and product strategy for one of the most visited sites in the world, and one the most comprehensive repositories of human knowledge ever assembled. Wikipedia is turning 25 this month, so I wanted to talk to Selena about how Wikipedia works and how it plans to continue to work in the age of generative AI. Listen to the weekly podcast on Apple Podcasts, Spotify, or YouTube. Become a paid subscriber for early access to these interview episodes and to power our journalism. If you become a paid subscriber, check your inbox for an email from our podcast host Transistor for a link to the subscribers-only version! You can also add that subscribers feed to your podcast app of choice and never miss an episode that way. The email should also contain the subscribers-only unlisted YouTube link for the extended video version too. It will also be in the show notes in your podcast player.Wikipedia’s value in the age of generative AIThe Editors Protecting Wikipedia from AI HoaxesWikipedia Pauses AI-Generated Summaries After Editor BacklashWikipedia Says AI Is Causing a Dangerous Decline in Human VisitorsJimmy Wales Says Wikipedia Could Use AI. Editors Call It the ‘Antithesis of Wikipedia’
How Wikipedia Will Survive in the Age of AI (With Wikipedia’s CTO Selena Deckelmann)
Related Posts
Microsoft Bets on Humans to Scale AI
Microsoft Frontier Company is the latest example of how experts are necessary to achieving returns on AI investments.
Prompt: The Next AI Challenge Isn’t the Model. It’s the Organization.
AWS's $1 billion investment in embedded AI engineers reflects a broader shift as enterprises focus less on choosing models and more on putting AI to work.
NVIDIA BioNeMo accelerates Anthropic Claude Science
Anthropic Claude Science now integrates the NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research. Anthropic has launched the public beta of Claude Science, an AI workbench built for scientific research. The platform enables scientists to converse directly with digital agents using natural language to execute end-to-end research workflows. This system connects natively to […]
The post NVIDIA BioNeMo accelerates Anthropic Claude Science appeared first on AI News.