851–860 of 914 posts
I've been making a few hobby projects that consolidate different AI services to achieve this, so I look forward to the reduced complexity and latency from all those trips. If the API is available in time (halloween), my multi-modal talking skeleton head with an ESP32 camera that makes snarky comments about your costume just got slightly easier on the software side.
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> The only downside is that it now make me feel bad that I'm not doing anything with it yet. If that's the only downside that you see... I guess enhanced phishing/impersonation and all the blackhat stuff that come with it don't count. I for one already miss the time where companies had support teams made of actual people.
I would love if helpdesks moved to ChatGPT. Phone support these days is based off of a rigid script that is around as helpful as a 2000s chatbot. For example, the other day I was talking to AT&T support, and the lady asked me what version of Windows I was running. I said, I'm running Ubuntu. She repeated the question. I said I'm not running Windows, it's Linux. She repeated the question. I asked why it mattered for m…
I can read the website, I don't need a fake person to give me the information available on the website. When I contact support, it's because I need to talk to a human.
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> The only downside is that it now make me feel bad that I'm not doing anything with it yet. If that's the only downside that you see... I guess enhanced phishing/impersonation and all the blackhat stuff that come with it don't count. I for one already miss the time where companies had support teams made of actual people.
I work as a ethical hacker, so I'm well aware of the phishing and impersonation possibilities. But the net positive is so, so much bigger for society that I'm sure we'll figure it out. And yes, in 20 years you can tell your kids that 'back in my day' support consisted of real people. But truthfully, as someone who worked on a ISP helpdesk it's much better for society if these people move on to more productive areas.
But you don't see the positive, you just have faith. That's beautiful in a way, but dangerous too. Just like the common idea that "I have faith that somebody will find a technological solution to climate change". When the risk is that high, I think we should take a step back and don't bet our survival on faith.
We should be fine as long as it doesn't move. Jokes aside, I have paused my subscription because even GPT4 seemed to become dumber at tasks to the point that I barely used it, but the constant influx of new features is tempting me to renew it just to check them out...
I read this all the time and yet no one can seem to come up with even a few questions from several months ago that ChatGPT has become “worse” at. You would think if this is happening it would be very easy to produce such evidence since chat history of all conversations is stored by default.
Not a surprise, but a change nonetheless.
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Perplexity has gone downhill a lot since its initial rollout. Anecdotally, from my experience as a non-paying user of the service.
give vello.ai a try
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Everytime it’s mentioned someone says this and other users provide examples. Maybe you just don’t care about those examples
Care to share these examples, in a scientific (n > 30) manner that can’t just be attributed to model nondeterminism? I don’t follow these threads religiously but in the ones I’ve seen no one has been able to provide any sort of convincing evidence. I’m not some sort of OpenAI apologist, so if there is actual good provable evidence here I will easily change my mind about it
Without access to the old model, I can't collect samples with n > 1
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Can you share the source code? What did you do to improve the latency?
Lots of work around speculative decoding, optimizing across the ASR->LLM->TTS interfaces, fine-tuning smaller models while maintaining accuracy (lots of investment here), good old fashioned engineering around managing requests to the GPU, etc. We're considering commercializing this so I can't open source just yet, but if we end up not selling it I'll definitely think about opening it up.
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Here's a specific example https://news.ycombinator.com/item?id=37533417
Pointing out a specific bug with functionality is not the same as saying “in general the quality of GPT answers has decreased over X months” especially when that bug is in a realm that LLM’s have already been provably bad at.
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The issue is far more serious with ChatGPT/similar models because things that are laughably untrue are delivered exactly the same as something that's solidly true. When doing a normal search I can make some assessment on the quality of the source and the likelihood the source is wrong. People should be able "throw the ideas away if they turn out to be wrong" but the problem is these ideas unconsciously or not help bu…
> Once you find out something isn't true it's hard to unpick your mental model of the world. Intuitively, I would think the same, but a book about education research that I read and my own experience taught me that new information is surprisingly easy to unlearn. It’s probably because new information sits at the edges of your neural networks and do not yet provide a foundation for other knowledge. This will only happ…