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The End of the Inflated Expectations

by Jay Cuthrell
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This week we take a look at the hype cycle for Artificial Intelligence (A.I.) and what’s next.

This week’s musical inspiration in title and lyrics:

Getting Informed

Now it’s time for reading 📖, listening 🎧, and watching 📺 suggestions:

And we’ve been poisoned by these fairy tales 🎶

To make a point, and not a specific critique of any company or product, it is time for the Shot and Chaser format to return to the newsletter. Ready?

Thesis: Training A.I. models on ulfiltered Internet content and unvetted contributor input might be cost effective… but will not always provide explicitly intended results that are ready for Enterprise use cases.

Shot

2016: “Twitter taught Microsoft’s AI chatbot to be a racist @$$hole in less than a day”

"Twitter taught Microsoft’s AI chatbot to be a racist @$$hole in less than a day"
Source: https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist

Chaser

2023: “Techmeme: Amazon’s Alexa has been claiming that the 2020 election was stolen citing sources from Rumble and Substack; Amazon says the errors were fixed (Cat Zakrzewski)”

"Techmeme: Amazon's Alexa has been claiming that the 2020 election was stolen citing sources from Rumble and Substack; Amazon says the errors were fixed (Cat Zakrzewski)"
Source: https://www.techmeme.com/231007/p10#a231007p10

Expect communications and product marketing teams across all A.I. product companies to begin shifting to marketing copy choices that reflect the connotation of “renewed commitment to [ insert best practices here]” and similar phrasing. So, the real question remains: Will product engineering teams match the pace of the marketing copy in both practice and practical applications of A.I.?

Now we’ve come so far, so fast 🎶

2023 Gartner Hype Cycle for Emerging Technologies

Let’s isolate the A.I. references out of twenty-five (25) entries on the 2023 Gartner Hype Cycle for Emerging Technologies. There are seven (7) Innovation Trigger candidates and three (3) Peak of Inflated Expectations candidates that mention A.I. or M.L. in some way and I’ll link to a prior Fudge Sunday issue that explored the concept or a short YouTube video snippet. 🤓

Innovation Trigger

Peak of Inflated Expectations

The links provided are not meant to be exhaustive. One goal I have for the newsletter archives is to implement tagging keywords for all my prior posts. Until then, this is just a manual pass at keyword searches for the concepts mentioned in the Hype Cycle until my Obsidian vaults can be exposed for wiki-like use.

Going forward, if A.I. is truly on pace to go through a Trough of Disillusionment, keeping a mark of time and major changes in direction will be useful waypoints. At the risk of another musical reference…

So, what will be the next big thing in for A.I. and what’s next?

Until then… Place your bets!

Personal Plugs

  1. Fudge Sunday newslettter has a Spotify playlist with 100 songs that have inspired the last 100 issues. Enjoy!

  1. Also, speaking of reaching 100… I just reached my personal goal of publishing 100 tracks of my own music (noodles) on Soundcloud.

  2. 🤔 If you were wondering how to spend 30 minutes ⏳ of your day on Tue, Oct 24, 2023 at 12:30 PM EDT — good news! 🎉 I will be joining Randy Arseneau to discuss “The X(II) Factor: Modernizing Your Apps and Your Infrastructure” — 🤓👉 Register here! 👈🤓

Addendum 09-Oct-2023

📖 A day after I posted: A.I. Risks by Bruce Schneier

Disclosure

I am linking to my disclosure.

Topics:

ai amazon aws azure gartner hype microsoft ml newsletter obsidian zettlekasten

✍️ 🤓 Edit on Github 🐙 ✍️

⬅️ Previously: Uh Zoom ZPR

➡️ Next: Nuance, Repatriation, and iPaaS

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