Pragmatic AI adoption: From AI literacy to futures literacy
What does it mean to be pragmatic about AI adoption, while staying true to the values and mission driving people and organizations? By George Anadiotis When Elisa Lindinger decided to talk about AI, her intention was to say what she had to say once, and then move on with her life without having anyone ask about […]
Read More →Breaking the AI bubble: Big Tech plus AI equals economy takeover
Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? By George Anadiotis In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and […]
Read More →Poking holes in the AI narrative: Market Signalling and Outsourcing
Can AI work reliably at scale? Will everything be outsourced to AI? Will AI replace CEOs? Why is everyone riding the AI bandwagon, and where is it headed? By George Anadiotis These are the type of questions you would tackle with someone who has long-standing experience in AI, engineering, business and beyond. Georg Zoeller is that […]
Read More →Building AI for Earth with Clay: The intelligence platform transforming Geospatial data analysis
How a rocket scientist turned entrepreneur created the “ChatGPT for Earth data” using transformers and satellite imagery By George Anadiotis Bruno Sánchez is a rocket scientist with a somewhat deviant trajectory. An astrophysicist by training, he used the tools of his trade – mathematics and science – at the broadest possible scale: the universe. At […]
Read More →Are we entering the era of Peer to Peer AI? Long views on AI, Part 3
“Please consider the advent of DeepSeek as a historical pivot to the era of ‘Peer to Peer AI’”. This quote is from Michel Bauwens’ essay “AI and the Advent of the Age of the Brahmin Workers“. Bauwens is the Founder of the P2P Foundation, a network investigating the impact of peer to peer and commons dynamics in our […]
Read More →Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism
As the year draws to an end, it’s a good time to take stock of how it started vs. how it’s going on the micro and the macro level. It’s also a good opportunity to try and answer the top two questions I get: What is it that you do, exactly? Where do you think […]
Read More →Data Rules: From interoperability to commensurability
“Data Rules” is a book about data, but not just about big data crunching. A book about the relationship of data with economic institutions and society, but also about the interplay with data technologies by which data are being generated and processed. A book that is critical, but not ideological. By George Anadiotis This is how […]
Read More →What are the important questions to ask when developing or using AI? Long views on AI, Part 2
What does fairness in AI mean, and is it relevant in your use case? This question is posed by Beena Ammanath. Ammanath is the Global Head of the Deloitte AI Institute, Founder of Humans For AI and Board Member of AnitaB.org, as well as an author. I’ve had the pleasure of conversing with her a couple […]
Read More →How LinkedIn is moving towards a skills-based economy with the Skills Graph
What is a skills-based economy and how is LinkedIn moving from vision to implementation? As LinkedIn Director of Engineering Sofus Macskássy shares, there’s AI, taxonomy, and ontology involved in building the Skills Graph that powers it. By George Anadiotis Skills are the new currency. That’s a bold statement, coming from LinkedIn CEO Ryan Roslansky. Roslansky makes […]
Read More →What is the right balance between innovation and regulation in AI? Long views on AI, Part 1
What AI model maker would take the risk to make any powerful model if they could be responsible for anything someone might possibly do with it? This question is posed by Dan Jeffries – author, futurist, engineer, and systems architect. I’ve had the pleasure of conversing with him a couple of times. First about the […]
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