Tag: GPT-3

  • Artificial Culture

    It’s almost a year and a half since I wrote In Code we Trust. More recently, Tim Ferriss had Eric Schmidt on his podcast (transcript). In what I thought was a fascinating discussion based on the latter’s recent book  The Age of AI: And Our Human Future, (coauthored with Henry A. Kissinger and Daniel Huttenlocher), they also brought up AlphaGo. Go was a game that humans had been playing for 2,500 years, and it was thought to be incomputable until DeepMind’s AlphaGo beat world champions. As Schmidt explained, some of its moves and strategies were the kind no one had thought of before. In Kissinger’s words, we’re entering a new epoch, similar to the Renaissance, this age of artificial intelligence, because humanity has never had a competitive intelligence, similar to itself, but not human. To note, a more recent version – AlphaGo Zero self-taught itself without learning from human games, and surpassed its predecessor in 40 days!

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  • A digital multiverse

    It was towards the end of 2020 that I came across Roblox and wrote Metaverse : Get a second life. Since that post, Mathew Ball has written the definitive primer on the Metaverse1, and if you’re interested in the subject, it’s a must-read. The word “metaverse”, ICYMI, was coined by Neal Stephenson in Snow Crash, and the book is being referenced in many recent conversations. In fact, Stephenson has been quizzed for years, each time we seem to take a step in this direction, and his comments continue to be prescient, insightful and hugely creative. This one, from 2017, in Vanity Fair, is a favourite, and contains, among other succinct gems

    The purpose of VR is to take you to a completely made-up place, and the purpose of AR is to change your experience of the place that you’re in.

    Neal Stephenson
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  • Default in our stars

    The thought first occurred to me a couple of years ago, when I realised that thanks to outsourcing and automation, we would struggle today to do many things that were once life skills. We also lost a little more than that – learning.

    Sometimes directly, and sometimes, through the interactions with the world, they facilitated a learning experience that taught one how to navigate the world and the different kinds of folks that made up its systems. 

    Regression Planning

    It was continued with a bit more specificity in a subsequent post.

    Instagram, Facebook, Tinder, Spotify, Netflix, Amazon – everything is a feed of recommendations, whether it be social interactions, music, content or shopping! Once upon a time, these were conscious choices we made. These choices, new discoveries, their outcomes, the feedback loop, and the memories we store of them, all worked towards developing intuition. 

    Intelligence, intuition and instincts. The journeys in the first two are what have gotten the third hardwired into our biology and chemistry. When we cut off the pipeline to the first two, what happens to the third, and where does it leave our species?

    AI: Artificial Instincts
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  • In Code we Trust

    Eugene Wei’s TikTok and the Sorting Hat is a splendid read on many counts. It provides some excellent perspectives on tech companies’ crossovers across WEIRD (Western, Educated, Industrialised, Rich, Democratic) and non-WEIRD countries like China and India, made complicated by the culture difference. This serves as the context setting for TikTok’s rise in the US, and some deep chronicling on how this came to be, while juxtaposing it against social networks like Facebook, Instagram, Snapchat and Twitter. On an aside though, all of these networks have found varying degrees of success in India. Meanwhile, he points out that TikTok is not really a social network, because instead of a social graph, it plays on an interest graph that it builds from the user’s reactions. All of this makes for some excellent reading. But what really caught my attention was this – 

    in some categories a machine learning algorithm significantly responsive and accurate can pierce the veil of cultural ignorance. Today, sometimes culture can be abstracted.

    A meta example of this appears at the end of the post when he visits the Newsdog. At that point it was the top news app in India, and it was built by a Beijing-based startup. Around 40 male Chinese engineers, none of whom could read Hindi!

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