e462 — Generating Both Sides

two sides of a caution cleaning in progress sign.
Photo by Oliver Hale on Unsplash

Published 15 April 2024

Michael and Michael get together to talk tech while Andy is away.  In this episode, the team focuses on a variety of AI topics including AI assistants, the Humane AI Pin, LLM training and deepfakes before touching on several AR topics and concluding with a couple of games.

The first story deals with human forgetfulness vs AI assistants ability to remember everything.  Luckily the co-hosts remember dealing with this topic long ago.  One “lifelogging” article from 2014 references Steve Mann’s work, and intriguingly, the recording device looks very similar to the Humane AI Pin.  Humane’s AI Pin has had a number of reviews in the past days, and the one from The Verge gives a very thorough treatment.  Check it out in the show links below.

An article from ZD Net reports that transcripts from YouTube videos were used to train LLMs. Now that the Games at Work podcast is available on YouTube, Michael and Michael wonder if the podcast may be on the ingest list for training the next set of LLMs.  

After considering a WSJ article about financial companies actions to counteract potential identity deepfakes, Michael and Michael take a look at a LEGO powered AI security system.

Switching gears to AR, Michael and Michael enjoy a story about the Dyson CleanTrace which allows you to see in AR where you’ve already vacuumed and where you still have to.  Making cleaning a game is not new for the Games at Work crew but this is a new take on how to combine AR, gaming and cleaning that may have many other possibilities.  After taking a look at CT scans of Apple’s Vision Pro and Meta’s Quest, Michael R shares some insight on the updated Persona for the Vision Pro. 

The team wraps up the episode with a couple of games.  Michael R shares a 8 bit (or 1 bit) game called Nothing Door.  Michael M shares an article about the recent Sims expansion pack that allows the player to take on the role of a landlord or tenant.  

Do you think that tracking vacuuming is the killer app for AR?  Perhaps extreme ironing?  Have your bots 🤖 drop our bots 🤖 a line at @gamesatwork_biz (our home for now) and let us know! 

These show notes were lovingly hand crafted by a real human, and not by a bot.  All rights reserved.  That’s our story and we’re sticking to it.

Selected Article Links

AI

Wired article: Humans Forget. AI Assistants Will Remember Everything

Games at Work e157: Through the 2016 Looking Glass

SingularityHub article: Lifelogging Gear Is Small, Cheap, and Powerful, So Like It Or Not, You’re Going To Be Recorded

The Verge article: Humane AI Pin review: not even close

ZD Net article: OpenAI and Google reportedly used YouTube transcripts to train their AI models

Wall Street Journal article: Deepfakes Are Coming for the Financial Sector

AR / VR

iMore article: Dyson turned this viral Apple Vision Pro vacuuming concept into a feature, and it’s coming soon

Wikipedia article: Extreme ironing

Games at Work e60: Bubbly Bubblers in Gamified Buildings

Chore Wars

9To5Mac article: Apple Vision Pro scans show meticulous array of cameras, sensors, and more

Lumafield article: Apple Vision Pro and Meta Quest Non-Destructive Teardown

Upgrade podcast e507 – Differently Social

Games

NothingDoor on the App Store

Slate article: The Sims: For Rent Allows Millennials to Turn the Tables

The Sims 4 For Rent Expansion Pack

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