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Also their role system is badass. It’s incredibly fine grained and makes it possible to manage large communities with plenty of different user levels.
Doing the Lord’s work in the Devil’s basement
Also their role system is badass. It’s incredibly fine grained and makes it possible to manage large communities with plenty of different user levels.
But we are talking about freelancers, not about SEO or content marketing, more like content filling
Most SEO is done by freelancers (at least in my industry). When i talk about content marketing i mean anybody who writes blog posts and LinkedIn posts for companies. It was already shit long before AI arrived.
Yeah I’m not bashing anybody, my wife did that for a couple years I know how it is. There was a kind of golden period where it would even pay enough to let you do some quality stuff but when VC money stopped raining the market slumped almost immediately.
I think the bitter lesson here is that there’s a bunch of jobs where quality has zero importance.
If you take for example, content marketing, SEO, and ad copy writing… It’s a lot of bullshit, and it’s been filling the web with gpt-grade slop for 20 years now. If you can do the same for cheap I don’t see a reason not to.
I don’t know about the US but in European GDPR parlance, of it can be reversed then it is NOT anonymized and it is illegal to claim otherwise. The correct term is pseudonymized.
Artists are perfectly able to use the fediverse, that is not what is stopping them.
They don’t come because they need to be where their fans are. That is why Cara will only be a splash: their niche is artists who place more value on the anti-AI slant than on meeting their audience where it lives. By definition that is not conducive to a lot of organic growth.
I’ve worked on a couple of Saas in Europe and thankfully GDPR has shaken things a lot. What you have to look for is terms of use where you are the controller, and the Saas is only a processor. In that case they don’t have the right to use the data you generate for their own purposes. This generally excludes telemetry like product analytics and logs, but even those must not include any user data, just an opaque id and technical informations.
I"m not sure what lie and what datasheet you’re referring to ?
Can’t blame you when some people non-ironically use that argument all the time
Sounds like a recipe for disappointment tbh. But on the other hand, sounds like you trust techno marketing a bit too much.
Agreed, I’ve had to mix an entire live show recently and Ardour + a few open source VSTs did the job wonderfully. Took me maybe an hour to get my bearings but it is very well done.
I thought the sarcasm in my comment was self evident 🤔
I don’t understand. Have you ever worked an office job? Most humans have no way to guarantee their logic is sound yet they are the ones who do all of the reasoning on earth. Why would you have higher standards for a machine?
No you don’t understand. The word AI, which was invented to describe this kind of technology, should not be used to describe this technology. It should instead be reserved for some imaginary magical technology that may exist in the future.
You cannot in all seriousness use a LLM as a research tool. That is explicitly not what it is useful for. A LLM’s latent space is like a person’s memory : sure there is some accurate data in there, but also a lot of “misremembered” or “misinterpreted” facts, and some bullshit.
Think of it like a reasoning engine. Provide it some data which you have researched yourself, and ask it to aggregate it, or summarize it, you’ll get some great results. But asking it to “do the research for you” is plain stupid. If you’re going to query a probabilistic machine for accurate information, you’d be better off rolling dice.
There is some research being done with fine tuning 1-bit quants, and they seem pretty responsive to it. Of course you’ll never get a full generalist model out of it, but there’s some hope for tiny specialized models that can run on CPU for a fraction of the energy bill.
The big models are great marketing because their verbal output is believable, but they’re grossly overkill for most tasks.
Love that the article header is a picture of a Pentium II. That’s cold as ice 💀
Honestly i started at a new job 2 weeks ago and i’ve been breezing through subjects (notably thanks to ChatGPT) at an alarming rate. I’m happy, the boss is happy, OpenAI get their 20 bucks a month. It’s fascinating to read all the posts from people who claim it cannot generate any good code - sounds like a skill issue to me.
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