- Rabbit R1 AI box is actually an Android app in a limited $200 box, running on AOSP without Google Play.
- Rabbit Inc. is unhappy about details of its tech stack being public, threatening action against unauthorized emulators.
- AOSP is a logical choice for mobile hardware as it provides essential functionalities without the need for Google Play.
I don’t even understand what the point is of this product. Seems like e-waste at first glance.
It’s so weird how they’re just insisting it isn’t an android app even though people have proven it is. Who do they expect to believe them?
The same question was asked a million times during the crypto boom. “They’re insisting that [some-crypto-project] is a safe passive income when people have proven that it’s a ponzi scheme. Who do they expect to believe them?” And the answer is, zealots who made crypto (or in this case, AI) the basis of their entire personality.
They have thought of a specific design for the device using its own interaction modality and created a product that is more than just software.
Therefore don’t get why people refer to it being just an app? Does it make it worth less, because it runs on Android? Many devices, e.g. e-readers are just Android Apps as well. If it works it works.
In this case it doesn’t, so why not focus on that?
The point being, they are charging 200 bucks for hardware that is superfluous and low end for an incomplete software experience that could be delivered without that on an app. The question is, are you going to give up your smartphone for this new device? Are you going to carry both? Probably not.
“It can do 10% of the shit your phone can do, only slower, on a smaller screen, with its own data connection, and inaccurately because you have to hope that our “AI” is sufficiently advanced to understand a command, take action on that command, and respond in a short amount of time. And that’s not to even speak about the horrible privacy concerns or that it’s a brick without connection!”
Everything about this project seems lackluster at best, other than maybe the aesthetic design from teenage engineering, but even then, their design work seems a bit repetitive. But that may be due to how the company is asking for the work. “We wanna be like Nothing and Playdate!!” “I gotchu fam!”
To address your point about e-readers, they have specific use cases. Long battery lives, large, efficient e-ink displays, and the convenience of having all your books, or a large subset, available to you offline! But when those things aren’t a concern, yea, an app will do.
Like with most contemporary product launches, I simply find myself asking, “Who is this for?”
It’s an experimental device and by buying it you invest into r&d. It’s not meant to replace a smartphone as of now, but similar ones eventually will.
My point stands, because they are offering a completely new (but obv lacking) experience with novel design solutions. What they made is a toy, which is not really unusual for teenage engineering. But if they do as they did with other devices in the past this thing might actually rock in the future. They are not inexperienced and usually over super long support for their devices.
TE is way older than Nothing and Playdate btw…
lmao threatening action against their own imminent irrelevance, more like
Not cool guys, not cool at all
And get serious - fuck your “proprietary” details, fuck lying/misrepresentation for money, and fuck you for trying a stunt like this.
Call me when you actually put the genie in the bottle!
their page to link accounts to it was not a real webapp, it was a novnc page that would connect to an ubuntu vm that runs chrome with no sandboxing and basic password store under fluxbox wm
someone dumped the home directory from it
I wish I knew what any of this meant…
Holy shit, that’s actually hilarious, I imagine someone would have noticed when their paste/auto type password managers didn’t work
For those confused, this sounds like instead of making a real website, they spin up a vm, embed a remote desktop tool into their website and have you login through chrome running on their VM, this is sooooo sketch it, its unreal anyone would use this in a public product.
Imagine if to sign into facebook from an app, you had to go to someone else’s computer, login and save your credentials on their PC, would that be a good idea?
What I don’t understand is why. This sounds like way more work than spinning up some out-of-the-box framework with oAuth or a Google login and hosting it on Lambda or Azure. What is logging in on a VM box even going to do for the device?
I’ve looked it up and it’s even uglier and I can kinda understand why they did it this way Basically, for their “integrations” they aren’t using any official APIs. Instead they just use the websites and automate them via the Playwright framework. So for each user they have a VM running with a Chrome browser to access the services. So now they have the problem that they need to get their users session cookies into the browser. And the easiest solution for that is having the users access their VM via VNC and just log into the automated browser.
This is such a hacky solution that I’m actually in awe of it’s shittiness. That’s something you throw together in an all-nighter during a Hackathon, not a production ready solution
Well that’s horrific.
Ubuntu is just a bunch of apps running on Debian! Did you know you can take Ubuntu app .deb files and run them on Debian?
Look. The R1 is stupid, but this isn’t the reason why.
The difference here is Ubuntu is open about the fact that stand on the shoulders of something greater than them.
R1 in contrast pretend that everything they’ve built is proprietary, and therefore no one could possibly come up with something similar.
When it’s clearly not the case.
This is critical, not for the purpose of sales, but for the purpose of retaining investor value.
The whole thing reeks of an exercise to generate artificial investor value.
If investors find out that their so-called innovation can actually be done by anyone with some coding skills and connectivity to open AI, then the company value will drop like a hot turd.
Why are there AI boxes popping up everywhere? They are useless. How many times do we need to repeat that LLMs are trained to give convincing answers but not correct ones. I’ve gained nothing from asking this glorified e-waste something, pulling out my phone and verifying it.
I just used ChatGPT to write a 500-line Python application that syncs IP addresses from asset management tools to our vulnerability management stack. This took about 4 hours using AutoGen Studio. The code just passed QA and is moving into production next week.
https://github.com/blainemartin/R7_Shodan_Cloudflare_IP_Sync_Tool
Tell me again how LLMs are useless?
This is not really a slam dunk argument.
First off, this is not the kind of code I write on my end, and I don’t think I’m the only one not writing scripts all day. There’s a need for scripts at times in my line of work but I spend more of my time thinking about data structures, domain modelling and code architecture, and I have to think about performance as well. Might explain my bad experience with LLMs in the past.
I have actually written similar scripts in comparable amounts of times (a day for a working proof of concept that could have gone to production as-is) without LLMs. My use case was to parse JSON crash reports from a provider (undisclosable due to NDAs) to serialize it to our my company’s binary format. A significant portion of that time was spent on deciding what I cared about and what JSON fields I should ignore. I could have used ChatGPT to find the command line flags for my Docker container but it didn’t exist back then, and Google helped me just fine.
Assuming you had to guide the LLM throughout the process, this is not something that sounds very appealing to me. I’d rather spend time improving on my programming skills than waste that time teaching the machine stuff, even for marginal improvements in terms of speed of delivery (assuming there would be some, which I just am not convinced is the case).
On another note…
There’s no need for snark, just detailing your experience with the tool serves your point better than antagonizing your audience. Your post is not enough to convince me this is useful (because the answers I’ve gotten from ChatGPT have been unhelpful 80% of the time), but it was enough to get me to look into AutoGen Studio which I didn’t know about!
It’s a shortcut for experience, but you lose a lot of the tools you get with experience. If I were early in my career I’d be very hesitant relying on it as its a fragile ecosystem right now that might disappear, in the same way that you want to avoid tying your skills to a single companies product. In my workflow it slows me down because the answers I get are often average or wrong, it’s never “I’d never thought of doing it that way!” levels of amazing.
You used the right tool for the job, saved you from hours of work. General AI is still a very long ways off and people expecting the current models to behave like one are foolish.
Are they useless? For writing code, no. Most other tasks yes, or worse as they will be confiently wrong about what you ask them.
Are they useless?
Only if you believe most Lemmy commenters. They are convinced you can only use them to write highly shitty and broken code and nothing else.
This is my expirence with LLMs, I have gotten it to write me code that can at best be used as a scaffold. I personally do not find much use for them as you functionally have to proofread everything they do. All it does change the work load from a creative process to a review process.
I don’t agree. Just a couple of days ago I went to write a function to do something sort of confusing to think about. By the name of the function, copilot suggested the entire contents of the function and it worked fine. I consider this removing a bit of drudgery from my day, as this function was a small part of the problem I needed to solve. It actually allowed me to stay more focused on the bigger picture, which I consider the creative part. If I were a painter and my brush suddenly did certain techniques better, I’d feel more able to be creative, not less.
Who’s going to tell them that “QA” just ran the code through the same AI model and it came back “Looks Good”.
:-)
To be honest… that doesn’t sound like a heavy lift at all.
Dream of tech bosses everywhere. Pay an intermediate dev for average level senior output.
The code is bad and I would not approve this. I don’t know how you think it’s a good example for LLMs.
The code looks like any other Python code out there.
We’re doomed then because I would reject that in a MR for being unprofessional and full of bugs.
What bug have you spotted?
In one of those weird return None combination. Also I don’t get why it insists on using try catch all the time. Last but not least, it should have been one script only with sub commands using argparse, that way you could refactor most of the code.
Also weird license, overly complicated code, not handling HTTPS properly, passwords in ENV variables, not handling errors, a strange retry mechanism (copy pasted I guess).
It’s like a bad hack written in a hurry, or something a junior would write. Something that should never be used in production. My other gripe is that OP didn’t learn anything and wasted his time. Next time he’ll do that again and won’t improve. It’s good if he’s doing that alone, but in a company I would have to fix all this and it’s really annoying.
It’s no sense trying to explain to people like this. Their eyes glaze over when they hear Autogen, agents, Crew ai, RAG, Opus… To them, generative AI is nothing more than the free version of chatgpt from a year ago, they’ve not kept up with the advancements, so they argue from a point in the distant past. The future will be hitting them upside the head soon enough and they will be the ones complaining that nobody told them what was comming.
Thing is, if you want to sell the tech, it has to work, and what most people have seen by now is not really convincing (hence the copious amount of downvotes you’ve received).
You guys sound like fucking cryptobros, which will totally replace fiat currency next year. Trust me bro.
Downvotes by a few uneducated people mean nothing. The tools are already there. You are free to use them and think about this for yourself. I’m not even talking about what will be here in the future. There is some really great stuff right now. Even if doing some very simple setup is too daunting for you, you can just watch people on youtube doing it to see what is available. People in this thread have literally already told you what to type into your search box.
In the early 90s, people exactly like you would go on and on about how stupid the computerbros were for thinking anyone would ever use this new stupid “intertnet” thing. You do you, it is totally fine if you think because a handful of uneducated, vocal people on the internet agree with you that technology has mysteriously frozen for the first time in history, then you must all be right.
If everybody in society “votes” that kind of stuff “down”, the hype will eventually die down and, once the dust has settled, we’ll see what this is really useful for. Right now, it can’t even do fucking chatbots right (see the Air Canada debacle with their AI chatbot).
Not every invention is as significant as the Internet. There’s thing like crypto which are the butt of every joke in the tech community, and people peddling that shit are mocked by everyone.
I honestly don’t buy that we’re on the edge of a new revolution, or that LLMs are close to true AGI. Techbros have been pushing a lot of shit that is not in alignment with regular folks’ needs for the past 10 years, and have maintained tech alive artificially without interest from the general population because of venture capital.
However, in the case of LLMs, the tech is interesting and is already delivering modest value. I’ll keep an eye on it because I see a modest future for it, but it just might not be as culturally significant as you think it may be.
With all that said, one thing I will definitely not do is spend any time setting up things locally, or running a LLM on my machine or pay any money. I don’t think this gives a competitive edge to any software engineer yet, and I’m not interested in becoming an early adopter of the tech given the mediocre results I’ve seen so far.
They aren’t trying to have a conversation, they’re trying to convince themselves that the things they don’t understand are bad and they’re making the right choice by not using it. They’ll be the boomers that needed millennials to send emails for them. Been through that so I just pretend I don’t understand AI. I feel bad for the zoomers and genas that will be running AI and futilely trying to explain how easy it is. Its been a solid 150 years of extremely rapid invention and innovation of disruptive technology. But THIS is the one that actually won’t be disruptive.
I’m not trying to convince myself of anything. I was very happy to try LLM tools for myself. They just proved to be completely useless. And there’s a limit to what I’m going to do to try out things that just don’t seem to work at all. Paying a ton of money to a company to use disproportionate amounts of energy for uncertain results is not one of them.
Some people have misplaced confidence with generated code because it gets them places they wouldn’t be able to reach without the crutches. But if you do things right and review the output of those tools (assuming it worked more often), then the value proposition is much less appealing… Reviewing code is very hard and mentally exhausting.
And look, we don’t all do CRUD apps or scripts all day.
Tell me about how when you used Llama 3 with Autogen locally, and how in the world you managed to pay a large company to use disproportionate amounts of energy for it. You clearly have no idea what is going on on the edge of this tech. You think that because you made an openai account that now you know everything that’s going on. You sound like an AOL user in the 90 that thinks the internet has no real use.
I don’t care about the edge of that tech. I’m not interested in investing any time making it work. This is your problem. I need a product I can use as a consumer. Which doesn’t exist, and may never exist because the core of the tech alone is unsound.
You guys make grandiloquent claims that this will automate software engineering and be everywhere more generally. Show us proof. What we’ve seen so far is ChatGPT (lol), Air Canada’s failures to create working AI chatbots (lol), a creepy plushie and now this shitty device. Skepticism is rationalism in this case.
Maybe this will change one day? IDK. All I’ve been saying is that it’s not ready yet from what I’ve seen (prove me wrong with concrete examples in the software engineering domain) and given that it tends to invent stuff that just doesn’t exist, it’s unreliable. If it succeeds, LLMs will be part of a whole delivering value.
You guys sound like Jehovah’s witnesses. get a hold of yourselves if you want to be taken seriously. All I see here is hyperbole from tech bros without any proof.
You’re just saying that you will only taste free garbage wine, and nobody can convince you that expensive wine could ever taste good. That’s fine, you’ll just be surprised when the good wine gets cheap enough for you to afford or free. Your unwillingness to taste it has nothing to do with what already exists. In this case, it’s especially naive since you could just go watch videos of people using actually good wine.