Learnings & Musings on AI, ML, Data Science & Python

Wu-Tang Was Right

Cash does rules everything around us. ๐Ÿ’ฐ There seems to be a trend amongst Chinese tech companies to deflect when asked about what societal implications their tech could have by shrugging and talking dollar signs. ๐Ÿ’ฒ๐Ÿ’ฒ๐Ÿ’ฒ Exhibit A: โ€œWeโ€™re not really thinking very far ahead, you know, whether weโ€™re having some conflicts with humans, those kinds of things,โ€ [SenseTime co-founder … Read More

The Autonomous Vehicle Economy

I’ve been toying with the economic consequences of the impending autonomous vehicle revolution for a while now and this recent IKEA thought exercise got me thinking about it again. ๐Ÿ” For now, a brain dump in bullet point format. Maybe I’ll expand on/gussy up these thoughts in the future. ๐Ÿคท Drie-thrus will die and be reborn. Fast food restaurants will … Read More

Will Robots Understand Value? ๐Ÿ’น

A while back I wrote about how I didn’t think robots would become the new consumers in capitalism. Turns out I’m not the only one.ย ๐Ÿ‘ฌ This piece scratches my economics itch in a lot of ways, but I think the heart of it is the fact that we typically believe the economy/market/capitalism operates like a rational machine and not an … Read More

Joey Stigz on AI ๐Ÿค–

If you’re interested in the societal and economic implications of AI, this article is worth a read. A few points that stuck out to me: ๐Ÿ‘‡ AI can be hugely beneficial, but right now it’s not trending in that direction Tech companies shouldn’t be in charge of regulating themselves, which means decision makers need to educate themselves People are starting … Read More

The Bot Economy ๐Ÿ’ต

A recent issue of the Inside AI newsletter included the prediction that eventually we will sell things to AIs. The inflection point is said to be when population growth levels off and capitalism foresees its downfall and doom. ๐Ÿ“‰ First, I think modern capitalism’s growth requirement is a bug, not a feature. Focusing on growth and appeasing shareholders can lead … Read More

Where in the World is AI Policy? ๐Ÿ—บ

A nice summary of many country’s AI policies and a look at where the US stands. Spoiler alert: it’s a gray area. ๐ŸŒŽ While I fear what could happen if corporations are left to run amok, since their goals rarely align with those of most people, I don’t get a warm fuzzy feeling from government either. This is due to … Read More

The Big 4 vs. The World ๐ŸŒŽ

I mentioned in yesterday’s post that there is a much higher demand for AI talent than there is supply. No surprise, but the answer for a lot of firms appears to be buying AI startups to help infuse talent. ๐Ÿ’ธ Even less of a surprise, Google, Apple, Facebook, and Amazon are leading the way when it comes to quantity of … Read More

Centaurs Wear Ties ๐Ÿ‘”

I’m firmly in the Augmented Intelligence camp when it comes to where I think the real benefits lie when it comes to AI. Turns out the biggest benefit for business comes from pairing humans with machines, not replacing. ๐Ÿ‘ค+๐Ÿค–=โค๏ธ In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work … Read More

The AI Space Race ๐Ÿ›ฐ

I’m very interested in how the AI boom will unfold on the international stage. It has all the makings of the next space race or arms race and more countries throw their hat in the ring every day. ๐Ÿš€ This post from Ian Hogarth is a great overview of what is “at stake”. I use quotes for that because it … Read More

The Prediction Economy ๐Ÿ”ฎ

When you have a hammer, everything becomes a prediction problem. I may have gotten that one wrong, but when you have AI everything can become a prediction problem. AI is the new magic eight ball. ๐ŸŽฑ But seriously, AI is really good at prediction and it can be done for pretty cheap in most scenarios. That means the cost of … Read More