| ▲ | reactordev 3 hours ago |
| This is why local AI is so important |
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| ▲ | bayindirh 3 hours ago | parent | next [-] |
| It's already being trained on "public" (ethical or otherwise) data. So, it already has ingested that kind of "optimization" during pre-training and training. I don't think you can fine-tune your way out of it. |
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| ▲ | fsflover 2 hours ago | parent | next [-] | | This is far from widespread at the moment, so it'll be possible to at least use the current cutting-edge models locally in the future. | | |
| ▲ | bayindirh 2 hours ago | parent [-] | | Far from widespread? SEO has seeped to all crevices of the internet for the last 20 years. | | |
| ▲ | fsflover an hour ago | parent [-] | | By this measure, any information you can get whatsoever is biased and there is no reason to trust anything at all. | | |
| ▲ | latexr an hour ago | parent [-] | | The major difference is that right now when you land on a page you can do your due diligence and decide if you trust the source. You can still be tricked, but it’s harder and you can get better at the detection. With LLMs, everything is given the same importance so you have no idea if the data came from a reputable source or an obvious SEO junk website. | | |
| ▲ | fsflover 28 minutes ago | parent [-] | | AI can also provide the sources. And if you need to be certain, you should ask for that. |
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| ▲ | ToucanLoucan 2 hours ago | parent | prev [-] | | People still think these things are smart. That if their word generator eats enough of the Internet, it will somehow give them the real information that's otherwise hidden. Or perhaps a better word; filter the bullshit. To filter bullshit it would first have to understand bullshit, and it doesn't. That's why an LLM will tell you the solution to a problem that doesn't work, and argue with you when you correct it. | | |
| ▲ | bayindirh 2 hours ago | parent [-] | | This is what bothers me a lot. For the people who doesn't know how it's made or want to believe, it's a miracle. For me, it's a resource wasting text generator. I'll not lie, I don't use OpenAI, Mistral or Anthropic's models, even for coding. I prefer to read my API docs and cry once. I used Gemini, five or six times in total. Twice I asked a couple of very specific things, and it unearthed them. Since they were not products, but information, that was helpful. Twice, it has given wrong information. When I "told" it, there was another way, it said "of course there are two ways", etc. Tasteless and time wasting. I don't like using an LLM all day long, or offload my thinking to them. It's the ultimate self-poisoning incident. And as you say, these algorithms can't know right/wrong/logical/bullshit, etc. They just spew out text. | | |
| ▲ | latexr 43 minutes ago | parent [-] | | Something I’ve also seen multiple times is an LLM giving wrong information, I tell it it’s not right, then it tells me I’m “absolutely right” and it provides the exact same answer and tells me that one will work. |
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| ▲ | rplnt 3 hours ago | parent | prev | next [-] |
| That doesn't solve this particular problem. Your local model was trained on reddit comments written by bots. |
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| ▲ | Schweigerose 3 hours ago | parent | prev | next [-] |
| How do you make sure that the model you run locally is not tainted? Is there even a way to confirm this without providing the complete training set? |
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| ▲ | psb5 2 hours ago | parent [-] | | Fwiw I just run kiwix/zeal locally which has old school search index of all articles in wiki/stackoverflow etc. That seems enough for most of my day to day use. |
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| ▲ | soloto 3 hours ago | parent | prev | next [-] |
| Local AI will have the bias that existed at the time of its training, which is different from no bias. For stuff that needs to be current, a local LLM would need to search the net regardless. |
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| ▲ | embedding-shape 2 hours ago | parent [-] | | And since "no bias" isn't something that actually exists in reality when it comes to language or even anything near humans, "bias in local model I can introspect" will always be miles ahead of "bias I know is there, but cannot introspect". |
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| ▲ | jondea 3 hours ago | parent | prev | next [-] |
| It's less compromised, but it's still basing the answer on compromised queries. This is why I pay for independent reviews (e.g Which) where their incentives are more aligned with yours. |
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| ▲ | 2 hours ago | parent | prev | next [-] |
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| ▲ | rdtsc 3 hours ago | parent | prev | next [-] |
| Not if the models come from Google. The ads will be implicit in the model. X is better that Y an Z would be easy to add to a the training set. |
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| ▲ | pautasso 34 minutes ago | parent [-] | | Does this mean the model must be retrained every time a new ad is posted? How much are AI ads going to cost? | | |
| ▲ | rdtsc 20 minutes ago | parent [-] | | Yeah, I meant not individual ads but implicit forced/influenced preference for certain brands. Let’s say it always picks Coke vs Pepsi when giving an example of a soft drink. Or picks BMW when asked to pick the best car. Which cloud provider is the best? -Why, GCP of course, etc. Companies then get to bid for a preference “place”. This is more like Google paying to be the search engine default in Firefox. |
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| ▲ | FergusArgyll 3 hours ago | parent | prev | next [-] |
| How does that help if it's using search? You get whatever the search engine outputs |
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| ▲ | weird-eye-issue 2 hours ago | parent | prev [-] |
| Local AI models pull in search results just like ChatGPT does
... And they are trained on web data just like any other model... |
