Tag: algorithms

  • Rose-tinted wearables

    (a version of something I wrote on LinkedIn)

    Now that I think of it, there are at least four ‘spiritual predecessors’ for this post on the blog. It began with ‘In a world of abstractions‘ (2017), followed by Peak Abstraction (2018), The Presentation of Selfie in Everyday Life (2020), and A Proxy Life (2022). Each of them are continuing explorations of how we have abstracted a bunch of real things, and created proxies by which we measure them.

    Going by the story so far, it’d be fair to say that the more things we consume, the less time we have to get into details, and the more we rely on proxies. And across time, our consumption has only increased. And so our proxies have also multiplied.

    Material accumulations as a proxy for wealth

    Stock price/funding for a company’s health

    Popularity for excellence

    Price for quality

    Fitness for health

    Books Read (including that 5 min YouTube video) for intellect

    (more…)

  • 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!

    (more…)

  • Designing my desires

    A world of transactional efficiency

    It was a little over 4 years ago that I first brought up the increasingly transactional nature of our interactions and even existence in general. I was reminded of it while listening to Amit Varma’s podcast with Nirupama Rao. Interestingly, they brought up contexts similar to what I had used – mails and rails. I had used birthday greetings going from long mails/cards to a ‘Like’ on someone else wishing the person a birthday. Travel was the other context, and I liked Amit’s example of train journeys being a unique experience. In contrast to say, the flight from point A to B.

    Last year, around the same time, I had framed it as An Efficient Existence, and used the example of Taylor Pearson’s 4 minute songs – the timeframe he had mentioned for songs in the context of  certain rules that creators need to follow if they want their work to be consumed and appreciated. I had brought up an earlier era of Floyd, Springsteen, Fleetwood Mac etc whose songs didn’t follow that template. Demand or supply, what happened first, I asked. Does it have to do with the abundance of choice now, and the demands of instant gratification? While templated packages for all sorts of consumption are increasingly the norm, people also want to finish and move on to the next thing on their list. Transactions. (Generalising), there seems to be very less desire to have an immersive experience. Outside the screen, that is. As the Spotify ads show (unintentionally and literally) we’re usually in a bubble, oblivious to our surroundings.

    (more…)

  • Micro Singularity & Ethics

    The Guardian long read on “How algorithms rule our working lives” was a fantastic though distressing read, about employers using algorithms to filter out candidates based on reasons ranging from mental health to race to neighbourhoods to income. This in itself has massive implications on creating and expanding class divides and closing access to folks based on biases that are arguably unfair and lacking nuance.

    If we zoom out beyond work and jobs, it’s fairly easy to see that algorithms are having an increasing impact on our consumption and life in general. The biggest services in play – Facebook, (M, newsfeed items) Google, (search results, Google Now) Amazon, (Echo, recommended products) Apple (Siri) – all heavily have algorithms in play. And that brings us to biases in algorithms. Factor Daily had a couple of posts on teaching bots ‘good values‘. Slate had a great read on the subject too – on how Amazon’s computerized decision-making can also deliver a strong dose of discrimination. Both offer perspectives on how biases, both intentional and unintentional, creep into the algorithms, and the Slate article also brings out some excellent nuances on the expectation from algorithms, and how offline retail chains (selection of store locations, for instance) and human decisions compare to algorithms.  (more…)

  • Algorithms, the institution of the future!

    Tom Goodwin’s precise summing up of the shifting business environment is now legend – Uber, the world’s largest taxi company, owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. And Airbnb, the world’s largest accommodation provider, owns no real estate. Something interesting is happening. 

    Institutional realignment is now on an accelerated path. In this superb, nuanced post titled ‘Uber and AirBnB make the rules now – but to whose benefit?“, Vili Lehdonvirta brings up very interesting perspectives. (To paraphrase)

    – If buyers switch to a new market, sometimes sellers have no choice but to follow, irrespective of whether it brings them gains or losses (eg. if there is very little business outside of Uber to be had)

    – Even if everyone participates with interests intact, the collective effects on society may not always be positive (eg. AirBnB rooms causing nuisance to neighbours)

    – These conflicting interests are usually reconciled by political institutions, but they face the challenge of siding with incumbents or upstarts.

    And towards the end of the article, this very important thought – these new platforms appear to provide access to those who have been denied it by the institutions and processes thus far, but is it that simple? In this context, the new jobs being created are quite different from the typical ‘job’ description. That brings me to a key institution – the traditional workplace.

    (more…)