I don’t understand how “running it in a vm” Or a docker image, prevents the majority of problems. It’s an agent interacting with your bank, your calendar, your email, your home security system, and every subscription you have - DoorDash, Spotify, Netflix, etc. maybe your BTC wallet.
What protection is offered by running it in a docker container? Ok, It won’t overwrite local files. Is that the major concern?
Many consumers want things that are arguably harmful for everyone involved. Users asking Grok to generate a large amount of CSAM from kid pics on Twitter is but one example.
Before the time you mention, the common model for TV was, you bought a TV, and you got as many channels as your antenna could pick up, all for free. Advertisers fought over the privilege of having access to your living room so much so that they sponsored whole shows, as they had with radio before TV. From this revenue, every local station was able to put together a news broadcast, and national networks broadcast the national news every evening, all for free as far as the viewer was concerned. This was the golden age of journalism, back when people believed the journalists [0].
Somehow all the media advances, the democratizing influence of the internet, the rise of social media, and the ubiquity of constant streams of news in various forms has just made the news more expensive and less trusted.
And, frankly, anyone even remotely considering microtransactions needs to take into account that one third of the population distrusts the media and another third gives it no credibility whatsoever—and money in the form of microtransactions would have to follow credibility, because nobody pays for what he believes is a lie.
You can invest a lot and get minimal results, OR, it’s possible they invested in 71-odd tools and only 17% produced results, but those results were as desired or expected so they didn’t actually need the other 83% of the tools they tried.
The number of tools that were deemed effective is not proportional to the “the effect”.
That’s helpful information but it doesn’t mean the use of Gemini is unwelcome. A human could have rendered the initial analysis too, and then you could have just replied to the human, correcting him or her. Why is the source of the analysis such an issue?
IMO it's because people have learned not to trust LLMs. It's like using AI code generators – they're a useful tool if you know what you're doing, but you need to review the material it produces and verify that it works (in this case, verify that what it says is correct). When they're used as a source in conversations, we never know if the "dev" has "reviewed the code," so to speak, or just copy and pasted.
As for why people don't like LLMs being wrong versus a human being wrong, I think it's twofold:
1. LLMs have a nasty penchant for sounding overly confident and "bullshitting" their way to an answer in a way that most humans don't. Where we'd say "I'm not sure," an LLM will say "It's obviously this."
2. This is speculation, but at least when a human is wrong you can say "hey you're wrong because of [fact]," and they'll usually learn from that. We can't do that with an LLM because they don't learn (in the way humans do), and in this situation they're a degree removed from the conversation anyway.
I agree with you, but this is one of those things where if you haven't had the experience of being part of a popular open source project, you don't realize how bad the scaling effects are.
Let's say courtesy only requires five minutes of my time. There are millions of users of the programming language I work on. Let's say only 0.1% of them desire my courtesy. Even at that small fraction, I'm going to spend 83 hours out of every 24 hour day (including weekends and holidays) giving each of them that cheap courtesy.
Yes and if you have o(1000) prs or issues in a single day, I guess you have a different scale of problem and will need to automate triage and management, probably through an ai-powered tool.
Even if it is 0.01% per day it’s still a very high volume. At that point it’s not a hobby. Millions of users maybe would point toward a more formal management and governance approach.
See Gemini-cli for example. Or a bunch of Microsoft projects. They use ai to triage and respond to tickets. (And they pocket veto many of them)
What protection is offered by running it in a docker container? Ok, It won’t overwrite local files. Is that the major concern?
reply