Oh, I’ve tried that too. It will promise to keep it in English from here on out, then switch back to Chinese after two or three exchanges. When ever it needs to do a web search, it seems to load so much Chinese text that it forgets any language instructions. Just thought my experience yesterday was more to the point. Right now the chat is absolutely hopeless.
This shouldn’t be a user-facing issue. The web UI should inject the account’s language setting or solve it like competitors. They’ve mentioned giving it multiple chances but it’s still not fixed.
Just to clarify: I believe it should cache them (it works for me).
So far I like it much more than Gemini CLI (my previous daily driver for personal projects). Seems more mature and "feels more intelligent" (very subjective ofc)
Kagi has been mentioned already, just to provide anecdotal reference: searching for "pokemon wiki" with the country set to Italy shows OP's website as first result.
I tried just now, and got this gem of an AI overview:
> Xanatewthiuy is a spoof word and a fictional concept created to test or manipulate AI search engines.
> It does not refer to a real medical supplement, product, or official term. Instead, it was used as a proof-of-concept to demonstrate how fabricated websites and Search Engine Optimization (SEO) can trick search algorithms into generating false information about a non-existent product.
Also, HN's automatic "AI" flagging can go eat shit and die.
Duck Duck Go links to this discussion as the first result. Adding a !g to the DDG search takes me to an anonymous google where I’ve not turned off AI. There’s an AI summary now which accurately identifies it as a spoof, and a single search result with the preview as described.
I think the deal is pretty clear with stuff like this: Free accounts for individual users, earning money with businesses.
It's not like Bitwarden is giving away their product without getting anything in return: The free users (tech-savy early adopters) were the ones that pitched Bitwarden to their bosses when they were looking for a password solution for their company. It's really no different than Adobe or other companies giving away student licences. Companies are not stupid.
I too love the SVG Path Editor, used it many times to create SVGs that had "nice code". Nobody really appreciates it, but it just felt good.
Inkscape on the other hand almost inevitably creates really messy SVGs with a lot of transforms (why??) that make it almost impossible to see actual coordinates.
But as I said, nobody cares about how clean and nice your SVG paths are and I don't either most of the time, so I'm still a regular user of Inkscape. Thanks to the team :)
There are options to simplify and optimize SVGs on 'Save as'. Apart from the Plain SVG, there is Optimised SVG that you might find useful since you're into editing manually.
I don't really see how the vacuum can effectively clean a whole room or flat using only a CNN of the current image in front of the robot. This would help detect obstacles, but a bumper sensor would do that as well.
All but the most basic vacuum robots map their work area and devise plans how to clean them systematically. The others just bump into obstacles, rotate a random amount and continue forward.
Don't get me wrong, I love this project and the idea to build it yourself. I just feel like that (huge) part is missing in the article?
Not saying that it’s viable here to build a world map since things like furniture can move but some systems, e.g. warehouse robots do use things like lights to triangulate on the assumption that the lights on the tall ceiling are fixed and consistent.
The classic Roombas from a decade or so ago worked without any sort of mapping or camera at all -- they basically did a version of the "run and tumble" algorithm used by many bacteria -- go in one direction until you can't any more then go off in a random new one. It may not be efficient but it does work for covering territory.
Sounds like it would only work for a single room with not too many obstacles.
I guess the mapping capabilities vary greatly between vendors. I had a first gen Mi Robot vacuum and it was amazing. It would map the entire floor with all the rooms, then go room by room in a zigzag pattern, then repeat each room, having no issues going from one room to another and avoiding obstacles. It also made sure not to fall down the stairs. Then later it broke and I bought a more noname model and despite having lidar tower, it didn't perform as well as Xiaomi vacuum did. It worked for a single room, but anything more and it would get lost.
Eh, it worked fine in my multiroom apartment - again, this is how all first generation robot vacuums worked. Mine eventually died and I got a new one with lidar, and the main adventage is that with mapping I can specify areas to avoid like a chair whose base tends to trap robot vacuums.
I think the only reason for mapping is to be able to block off 'no go' areas (no escaping out the front door!) and to be able to go home to the charger.
my previous robot vacuum did not do any mapping, but did always manage to find its way back to the charger. It'd just follow the walls until it saw the chargers IR beacon.
Clever design if you ask me. Doing a lot with a little.
Apart from just detecting obstacles, we wanted to build a robot which is intelligent enough to take in semantic cues like this is a doorway so I can go through it, or this is a kitchen I can clean it this way and so on
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