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Overview of Large Language Models and their Relation to AI and Crypto
LLM, or large language model, is based on the technology developed by Google in 2017, known as Transformers. These models, including CHAT-GPT, are increasingly used for training. Interestingly, AI and crypto serve as natural counterweights to each other, as famously stated by Peter Thiel in 2018.
with @alive_eth @danboneh @smc90
This week's all-new episode covers the convergence of two important, very top-of-mind trends: AI (artificial intelligence) & blockchains/ crypto. These domains together have major implications for how we all live our lives everyday; so this episode is for anyone just curious about, or already building in the space.
The conversation covers topics ranging from deep fakes, bots, and the need for proof-of-humanity in a world of AI; to big data, large language models like ChatGPT, user control, governance, privacy and security, zero knowledge and zkML; to MEV, media, art, and much more. Our expert guests (in conversation with host Sonal Chokshi) include:
The first half of the hallway-style conversation between Ali & Dan (who go back together as student and professor at Stanford) is all about how AI could benefit from crypto, and the second half on how crypto could benefit from AI... the thread throughout is the tension between centralization vs. decentralization. So we also discuss where the intersection of crypto and AI can bring about things that aren't possible by either one of them alone...
pieces referenced in this episode/ related reading:
As a reminder: none of the following should be taken as investment, legal, business, or tax advice; please see a16z.com/disclosures for more important information -- including to a link to a list of our investments – especially since we are investors in companies mentioned in this episode.
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Listen to the best highlights from the podcasts you love and dive into the full episode