956 karma · joined July 25, 2014
That said, I just noticed Costco online has some FDM stuff, which I think is a pretty exciting development, so if I have any money to spend on 3d printing stuff in the near future, I'll probably spend it there. :)
Seems like it's just a thing a person vibe coded yesterday.
Still perhaps cool, but very different than what I was looking for. :)
It's like Bezos talking about how we're going to have 3 day work weeks while he makes his employees piss in a bottle.
I'm building a "bring your own data" layer for agentic work of all sorts, using the webhook method for now.
In the context of Aperture, I watch for agents looking for certain types/sources of data, and instead provide them with an in-tailnet API for accessing that data.
In a personal context, think email, calendar events, music playlists, fitness app records, transactions. I've also found it useful in a professional context, but I think I need to explore that a fair bit more.
It keeps credentials out of agents hands, and provides some relatively standard ways for controlling what agents can see and change.
I need a fair bit of hardening work before I try to get random folk to use it, but I might post something more here in the next week. :)
I happen to be working on an extension to Aperture, so I have my own reason to promote it. But I do think it's a nice easy solution, and I promoted it to people before I was extending it.
I'll try using Brain Sandwich as guidance for less technical folk.
Oxide continues to be one of the most inspiring companies in the space, I was just encouraging someone to apply there yesterday. :)
I've been on the management side for a while now, but a lot of my hands-on coding relates to data transformation and integration testing, which seems like it would fit nicely with the core needs of the product.
As a means to grift directly, but also for leverage over the tech industry, and possibly the entire economy.
People hate data centers, but if they think AI regulation will crash the economy, will they vote Trump?
It's a pretty straightforward problem statement, they didn't really need to outsource the writing.
I had used 2.5-pro for a hefty chunk of development, and found it to work like a somewhat forgetful senior engineer who was new to my project. Very capable, would almost always choose a reasonable option, if not always the best one for the project, and not great at multi-tasking. Generally, made me comfortable not scrutinizing the code line-by-line, but still needed a bit of steering once projects got to a reasonable size.
The next model is a clear step up in the multi-tasking capability at least, with me very rarely having to steer the implementation of a well-defined issue. In terms of code, I found MiMo-V.2.5-pro to be extremely conservative, implementing minimal solutions. The next model seems a little bit more ambitious, in positive ways, making good guesses about gaps/next steps. It also seems to be a fair bit better at design, at least for the little bit I've done, it was good at translating my concepts to practical elements on screen, and cleaned things up nicely as I made suggestions.
I'll keep this in mind as I explore that case.
I think this could be pretty decent in CI? There's a lot of "flakes" I've mediated that this could have handled much more efficiently. Maybe observability as well, triggering elevated logging and other initial measures?
(But I'm also not specifically aware of face blindness as a condition, and had assumed it was generally some form of aphantasia.)
Practically, it means I'm rubbish at remembering people. I've developed some techniques that help, but if someone changes their look significantly, it's very hard for me to identify that it's the same person.
I'm still learning how this has impacted by life, and strategies for working with it. As a simple example, my wife's family was really into cars, so when I got to know them I learned all about cars. When I met my wife, I couldn't identify a single vehicle on the road, except maybe a Hummer, but after 2 years, I could quickly pick out the make and model of 95% of traffic.
Looking back, I can see this is because rather than remember what different cars looked like, I created a taxonomy of ALL cars in my head, and became able to sort any vehicle I saw to fit there somewhere. So when I identified something, I wasn't matching it against previously seen things, but rather eliminating all the things it couldn't be to arrive at the remaining possibility.
Since I have incredible respect for Armin and his work, this is very nice to see, and I hope it wakes some other folk up.
Seemed like something y'all would enjoy here. :)
IBM Bob
On:
IBM Quantum Nighthawk R2
?
It's available at a limited number of airports, and you have to apply 1-3 days in advance each time. Also could be annoying to travellers who have to compete with you for line, seat, or bathroom space.
But maybe more revenue from visitors means better staffing and resources for airports!
If you're building a personal cloud, you also want your AI connected to it, but probably with some degree of management. Aperture already provides a fair amount in this area, and probably with a connector for Cloud in a Bottle, could give your AI safe access.