š” Introducing āListen To Moreā
Introducing āListen to Moreā
Things have been a bit quiet on the blog, and there are couple of reasons for that. The first is that Iām still ramping up in my new role at Cloudflare , and like all new roles that takes a ton of energy and life force! Itās been really good though, and I am enjoying building out the Data product team.
But the second reason is that most of my non-work, tinkering time have gone not into writing, but into making a new music side project site, now called Listen To More . So I wanted to talk about it a little bit.
About 18 months ago I wrote about the first iteration of this idea in Building a music mini-site with data from Last.fm, Discogs, and YouTube . The site evolved quite a bit from that initial post, up to the point where it got quite bloated and slow. In addition to that, it was built on Netlify, and as a Cloudflare employee, that was obviously not coolā¦ I wanted an excuse to play with Cloudflare products anyway, so I decided to rewrite the whole thing.
Initially I planned for it to be a simpler version of the original site, but it ended up being so much fun that it is now essentially an ever-expanding artist and album database. For a bit of the nerdy detail, itās a Next.js site hosted on Cloudflare Pages . I use Workers to manage all the API calls efficiently, and Workers KV for fast and reliable caching. I say this not just because I work there: these products are incredible. One of the reasons Iāve spent so much time on the site is that it is so easy and fun to create with these products.
So now that the site is in a pretty good place (of course, as with all side projects, it will never be done), I thought Iād share it a bit more broadly. So, give Listen To More a spin! Click around, search for stuff, enjoy. And if you run into issues (I am sure there are many bugs), Iād be forever grateful if youād submit an Issue on GitHub .
Replacing my Right Hand with AI
I like Erikās thoughts about AI and coding in Replacing my Right Hand with AI :
I do think that AI will lower the bar for anyone to be able to create software, just like anyone can use Excel to do their own personal accounting. This is a good thing!
And:
Human engineers wonāt go away. Weāll still be needed to drive high-level prioritization, understand the overall architecture and scope of the problem, and review the AIās work, especially as systems get bigger. But weāll spend much more of our time thinking about what to build, and much less on the repetitive āhowā of building it.
On the Product side of this argument, there is PaweÅ Hurynās Will We Lose Our Jobs to AI? Cutting Through the Hype . Short answer: no! But he makes some points about how we should adapt that I agree with, especially these two:
Educate yourself in AI : You should understand concepts like fine-tuning and AI agents, but thereās no need to obsess over them. YouTube videos are perfectly fine unless you want to tie your career more closely to AI.
Get interested in the business side of the product: How do your organizationās Sales, Success, and Support teams work? How exactly does your company make money? How do you acquire customers? What are the key acquisition, retention, and revenue metrics? How do these metrics differ depending on the customer segment? How have they changed over time? Who are your competitors? Whatās unique about your strategy?
In short, use AI for the things that it is good at, and get better at the things that itās not good at.
Quick Review: Service Model by Adrian Tchaikovsky
I recently finished the book Service Model by Adrian Tchaikovsky, and thoroughly enjoyed it. Thereās a little bit of a lull around the 60%ā80% mark, but overall itās a solid 4.5 stars for me. Mostly because the main character is a robot who isnāt sure if he has become self-aware or just imagining things, and he certainly isnāt sure if he even wants that. It is a wonderful premise (albeit clearly inspired by the Murderbot series ), and Uncharles is probably my favorite robot character in a novel in a long time. The dude is just incredibly relatableāhere are some things he says or thinks in the book:
I wish to report an error in the way that everything works.
The world, as I have witnessed it, is a place lacking in efficiency, rationality, and cleanliness. I am driven to find a place in it nonetheless.
He sat down because, having decided that there was absolutely no reason to do anything ever again, he would cause less damage to himself and his surroundings when he eventually toppled over from a seated position, rather than from standing.
I do not feel I have greatly profited from seeing the world.
I suggest that ākind and orderedā is a better goal. It is possible that the world was once both kind and ordered. It is possible that it may be so again. Perhaps you will make it so.
I, for one, would like to sign up for helping to make this a ākind and orderedā world.
Anyway, itās a wonderfully funny and delightfully poignant sci-fi story that is about robots but actually really about humans. Whatās not to like.
San Franciscoās Nocturnal Taxi Ballet
I loved the story of the honking Waymos when it came out, and Iām glad it got the classic ābut what does it all mean!?ā treatment from The Atlantic :
Watching the Waymos circle the lot under the cover of darknessāand occasionally getting stuck in an endless loopāscratches a childish itch, akin to the fantasy of watching oneās toys come alive at night. In one video, the cars, bathed in taillight red and trying to exit, give off an aggressive vibe. In others, they seem clumsy . What do robots do when we canāt see them? Tungās webcam answers the question. The stream makes it easy to spin up fictionalized, anthropomorphized yarns about the cars, because it feels like weāve caught them in a private moment.
Thanks for reading Elezea! If you find these resources useful, Iād be grateful if you could share the blog with someone you like.
Got feedback? Send me an email.
PS. You look nice todayĀ š