It is no surprise, somehow they need to earn money. It will be interesting though how much the response of the LLM will be adapted. At least legally advertisement need to be marked for users. So either the response of an LLM will be extended with ad content or replaced by ad content.
I am pretty sure you can figure massive loopholes like how it's legal to train the model on stolen data but not to steal data etc.
For instance advertisers can push model benchmarks that favours some opinions, based on a biased selection of research papers.
I think we've only seen the beginnings of what intricate business models can be figured for an AI company, it's much more convoluted than a search engine or even a social network.
> It is no surprise, somehow they need to earn money
I kinda hate that a move needs to be surprising to be noteworthy or critiqued. If tomorrow Meta leaks all data of all users I really wish the reactions aren't "not surprised" and instead "hang them and tar them".
Same way, the need to earn money shouldn't be an excuse for whatever a company does. I'd be a lot more interested in knowing if/why you think it will be a net positive for society and why it should be left to happen.
I don't get your point here. User targeted ads are the main business model of the internet? Yes, few days ago it was revealed how billions of user data points could be gathered from Meta [1], did anybody care, outside a small privacy community? So indead these things are not surprising... My thoughts don't go so far to consider the effects on society, idk, do you?
> User targeted ads are the main business model of the internet?
Ads helped the internet get up and expand, but it went to a degree that now plagues most aspect of our online life.
Google being first and foremost an ad company is an issue we're tackling, from the search engine becoming dog shit, to Google subsidizing Apple to not compete with them, online content getting shaped to fit advertisers' needs etc.
Another potential tech giant adopting the most toxic business model is IMO something to be pissed about.
I use GenAI for text translation, text 2 voice and voice 2 text, there it is extremely useful. For coding I often have the feeling it is useless, but also sometimes it is useful, like most tools...
Exactly, it’s really weird to see all this people claiming these wonderful things about LLMs. Maybe it’s really just different levels of amazement, but I understand how LLMs work, I actually use ChatGPT quite a bit for certain things (searching, asking some stuff I know it can find online, discuss ideas or questions I have etc.).
But all the times I tried using LLMs to help me coding, the best it performs is when I give it a sample code (more or less isolated) and ask it for a certain modification that I want.
More often than not, it does make seemingly random mistakes and I have to be looking at the details to see if there’s something I didn’t catch, so the smallest scope there better.
If I ask for something more complex or more broad, it’s almost certain it will make many things completely wrong.
At some point, it’s such a hard work to detail exactly what you want with all context that it’s better to just do it yourself, cause you’re writing a wall of text to have a one time thing.
But anyway, I guess I remain waiting. Waiting until FreeBSD catches up with Linux, because it should be easy, right? The code is there in the Linux kernel, just tell an agent to port it to FreeBSD.
I’m waiting for the explosion of open source software that aren’t bloated and that can run optimized, because I guess agents should be able to optimize code? I’m waiting for my operating system to get better over time instead of worse.
Instead I noticed the last move from WhatsApp was to kill the desktop app to keep a single web wrapper. I guess maintaining different codebases didn’t get cheaper with the rise of LLMs? Who knows. Now Windows releases updates that break localhost. Ever since the rise of LLMs I haven’t seen software release features any faster, or any
Cambrian explosion of open source software copying old commercial leaders.
Somebody scraped the play store and checked the framework, so a list for Android WebView apps, built with capacitor, is here: https://capgo.app/top_capacitor_app/ Maybe an equivalent is there on iOS for the same app...
lichess is really good. Thanks for the info, I'm not surprised to learn it's a webview app, but it is really good.
It doesn't look native but who even cares. I think when a UI sucks or is unintuitive or buggy then "it's not native" is a sort of catchall easy complaint. Native is a crutch. Sometimes it's a good crutch (accessibility etc). But that's more about developer efficiency and bare minimums of polish.
Sadly i couldn’t find a reliable way to do it on Apple Store, it’s pretty hard to download from the store outside of apple device. If anyone know how i can do it too
It's not a non-issue i'm sure it's quite annoying to deal with, they just work around it. I hope the deal with their unnamed OEM works out and we get a native GrapheneOS Device. I'd buy it day one.
Thinking without idiology about it, it seems to make sense to have an autonomous agent with a wallet. A requestor could send money (in whatever form) into the wallet of the agent and would buy tokens, processing time or whatever from the agent.
We have to stop this "every position I disagree with comes from ideology" line of thinking. There are good reasons to dislike crypto: environmental cost, scam omnipresence, failure to actually decentralize anything, community toxicity, etc.
I can recommend Apache Camel (https://camel.apache.org) for similar data integration pipelines and even agentic workflows. There are even visual editors for Camel today, which IMHO make it extremely user friendly to build any kind of pipeline quickly.
Although I didn't collect numbers, but I made a similar experience in my workplace. I assume many people are highly distracted by ads and work efficiency is even reduced. Even many software engineers seem to not be aware of ublock... Would be interesting to know how many students started using an ad blocker at the end of your lecture :)
