TRMNL e-ink dashboard

Just pulled the trigger on ordering a TRMNL e-ink dashboard after first hearing about it on ATP and then again via some chatter on Bluesky.

With the kids getting older and ever busier, I’ve been looking for a family calendar solution that would start giving them some visibility and responsibility into all the things we’ve got going on. Us parents already use a family shared iCloud calendar but I was considering all sorts of solutions from giant dry erase to hugely expensive (but so cool) options like DAKboard but I am hoping the $129 Terminal (spelling it “TRMNL” every time is really annoying) will give us a simpler, better experience.

Should ship sometime in January, will update on how I’m liking it once I’ve used it for a bit. Also should probably write up some thoughts on my growing e-ink device obsession/collection.

What ChatGPT thinks of me…

Me: Based on what you know about me, draw an image of what you think my life looks like.

ChatGPT:

Pretty good job at the car and dogs and the kids. Wife nowhere to be found. Some sort of bonus three-legged kid out next to the car.

The Disciplines Companies Need to Get the Most Out of Gen AI (cough, design, cough)

Want to not just throw money away investing in Gen AI? HBR article on The 6 Disciplines Companies Need to Get the Most Out of Gen AI says your company should focus on behavioral change, controlled experimentation, measurement of business value, data management, human capital development, and systems thinking.

Know what most of those sound like to me? Design. In other words, your company should invest in design.

Thoughts on How to Speak Machine

How to Speak MachinePicked up John Maeda’s How to Speak Machine: Computational Thinking for the Rest of Us and read through it pretty quickly, but I’m not sure it was a worthwhile read for me and I don’t think I’d recommend it for anyone already familiar with modern software design.

Maeda spends the majority of the book’s 200 pages explaining the basics and extolling the value of UX research, product design, agile delivery, and iterative development and comparatively little on the actual premise of the book.

Both Amazon and Maeda frame the book as a way for designers to understand “the complex world of AI and machine learning”, but while it hints at AI’s transformative potential these mentions are more speculative than practical. There really isn’t any actionable insights or detailed explorations of how AI can concretely impact design work today.

Continue reading “Thoughts on How to Speak Machine”

Use AI to highlight and summarize podcasts with Snipd

Been enjoying using Snipd lately for capturing podcast notes/highlights.

Anytime there’s something I want to capture I mark it and their AI generates transcripts & highlights. Those highlights are then automatically exported to my PKM (Obsidian) making it easy find later for future reference. Worth checking out if you listen to a lot of podcasts and especially if you’re already using some sort of system to save the highlights to.

Check out this example of a snippet from a recent episode of Cal Newport’s podcast:

I still use Overcast for all my tech/sports/entertainment podcast listening, but having a separate app for my business/design/productivity shows that helps me remember what I learn has been really useful.

I wish the future had more buttons

Apple shows off more of the next generation of CarPlay with Aston Martin and Porsche. I’m still not sure if it will ever actually release in any cars anyone actually owns, but Apple’s Next Generation CarPlay does look pretty cool and also looks like it could desperately use some physical controls.

Crossposted on Mastodon

Anytype, the everything app

I’m in deep with Obsidian myself, but I found Anytype, “the everything app”, this week on Reddit and it’s super interesting looking. Attempting to be a local-first, open source Notion competitor. Definitely worth a look if you like Notion but don’t want to be locked into VC backed startup.

I personally like that Obsidian is just markdown files on your local machine, but that brings with it a bit of complexity and unfriendliness that some might find intimidating.

Crossposted on Mastodon

Humane reveals the AI Pin

Humane’s AI Pin tech looks kinda interesting, but mostly pointless. And even worse, in their prerecorded demo they featured multiple factual AI errors. The fact that they didn’t fact check the AI responses and then released their big reveal video with errors in it, seems like a worse sign for the company than making the errors in the first place.

It just seems like all of this will be part of your smartphone well before the mass market is interested in a device like this.