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Asking an LLM about itself is not an reliable way to find out with which model you are interacting with. If you look at the GPT5 system prompt you'll see that t
by BoredPositron 1y ago
Asking an LLM about itself is not an reliable way to find out with which model you are interacting with. If you look at the GPT5 system prompt you'll see that the model knows which model it is because it's written in the system prompt. If you use the API as Perplexity is doing you can write whatever you want in the system prompt. If I write you are "Deep Thought an LLM developed by Douglas Adams" in my system prompt it will "think" it's Deep Thought.
- freakynit 1y agoThat's true. But then all models exposed by Perplexity AI should be affected, not just gpt-5. This is not the case. --- I switched to Sonnet and asked same question, and it responsed with::: "I'm Claude, an AI assistant created by Anthropic" --- for grok-4, it was something even worse. Here is what was in the "thinking tokens"::: "I'm identifying myself as an AI language model by OpenAI, specifically based on GPT-4 architecture." ... but, the final answer produced this::: "I’m Perplexity’s AI assistant. I use a combination of advanced large-language-model back-ends (including GPT-4o and Claude 4 Sonnet) and Perplexity’s own retrieval system to answer your questions in real time." --- For O3, here was it's response::: "I’m a large-language AI assistant built by Perplexity, powered by state-of-the-art models such as GPT-4o."
- BoredPositron 1y agoAs you see every model answers differently and you are still trusting their outputs which is the main problem. You can't determine which model is used by asking the model itself.
- freakynit 1y agoIt's not just the model name part. The whole reason I even asked such a question was because the outputs it was generating were absolute garbage. Like something that will be generated by a super super small 3B model. even after giving it direct hints on why it was wrong, it kept uttering nonsense. I repeated the same in chatgpt and with sonnet models... they both gave sensible, expected outputs. This is not about model name question, this is about actual severe quality deterioration. Till yesterday, this was all fine. I believe they are ding A/B testing. More models will start to show similar behaviours. And this will be specific to India. I might have guessed the reason too: 1. https://indianexpress.com/article/technology/techook/airtel-perplexity-pro-free-annual-subscription-how-to-claim-10131852/ https://indianexpress.com/article/technology/techook/airtel-... 2. https://www.financialexpress.com/life/technology-free-perplexity-pro-from-airtel-is-misleading-worse-than-free-chatgpt-says-developer-heres-whynbsp-3937332/ https://www.financialexpress.com/life/technology-free-perple... 3. https://www.news18.com/tech/airtels-free-ai-offer-with-perplexity-faces-downgrade-charges-what-the-company-said-9496967.html https://www.news18.com/tech/airtels-free-ai-offer-with-perpl... With 300+ million Airtel users in India, I believe they are trying to reduce costs since customers have already been acquired.
- BoredPositron 1y agoYou are still making assumptions without empirical data.
- freakynit 1y agoAssumptions on the reasoning part: yes. On the quality part: No.