- 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.
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.
It’s not black or white.
Of couse AI hallucinates, but not all that an LLM produces is garbage.
Don’t expect a “living” Wikipedia or Google, but, it sure can help with things like coding or translating.
I don’t necessarily disagree. You can certainly use LLMs and achieve something in less time than without it. Numerous people here are speaking about coding and while I had no success with them, it can work with more popular languages. The thing is, these people use LLMs as a tool in their process. They verify the results (or the compiler does it for them). That’s not what this product is. It’s a standalone device which you talk to. It’s supposed to replace pulling out your phone to answer a question.
I think it’s a delayed development reaction to Amazon Alexa from 4 years ago. Alexa came out, voice assistants were everywhere. Someone wanted to cash in on the hype but consumer product development takes a really long time.
So product is finally finished (mobile Alexa) and they label it AI to hype it as well as make it work without the hard work of parsing wikipedia for good answers.
Alexa is a fundamentally different architecture from the LLMs of today. There is no way that anyone with even a basic understanding of modern computing would say something like this.
Which is why I explicitly said they used AI (LLM) instead of the harder to implement but more accurate Alexa method.
Maybe actually read the entire post before being an ass.
I have now heard of my first “ai box”. I’m on Lemmy most days. Not sure how it’s an epidemic…
I haven’t seen much of them here, but I use other media too. E.g, not long ago there was a lot of coverage about the “Humane AI Pin”, which was utter garbage and even more expensive.
I just started diving into the space from a localized point yesterday. And I can say that there are definitely problems with garbage spewing, but some of these models are getting really really good at really specific things.
A biomedical model I saw seemed lauded for it’s consistency in pulling relevant data from medical notes for the sake of patient care instructions, important risk factors, fall risk level etc.
So although I agree they’re still giving well phrased garbage for big general cases (and GPT4 seems to be much more ‘savvy’), the specific use cases are getting much better and I’m stoked to see how that continues.
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?
To be honest… that doesn’t sound like a heavy lift at all.
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.
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”.
:-)
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.
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.
Wonderfully said, this is a very good point.