0) my post was observation about personal experience with free tools, not about state of the art. They do not match. Maybe some of my speech patterns were more alligned with old architectures, keeping them sane, but drive new models crazy. Maybe new models are just worse trained in tasks i work with. Maybe i am just incredibly unlucky this year having to dismiss 60% of chats as hallucinating.
I find the state of the free ai more important, since the majority of humanity will never buy any model, so free models will have more impact on society (in an optimistic universe where top model does not wipe the planet). Sorry for miscommunication, if the comparison free-to-free was not clear in the original.
Answering your points:
1) I said “before the previous model is turned on”. It starts hallucinating before the moment of switch, so it is incorrect statement that i mixed two models in one chat. I have specifically said the phrase because I expected that switching LLMs could in the mind of a reader be an assumption.
2) I do not intend to buy any subscription. I am comparing current free state of the technology with the previous free state of the technology. I have no doubt there are paid versions who can be orders of magnitude better.
Talking about translation I meant “every free LLM mentioned: claude sonnet 4.6, chatgpt 5.5, gemini 3.5 flash”. Google translate might be a specialised llm since it is performing a lot better, than the free general tools perform on my tasks.
“Makes something close to what is expected”—I mostly engage with strict domains (physics simulations or graph theory), so any formula/algorithm is either recalled correctly from the literature and is truth or is just incorrect (and then i have to scroll through literature to find manually). There is no blurry logic there. I do not engage with tasks like making ui.
0) my post was observation about personal experience with free tools, not about state of the art. They do not match. Maybe some of my speech patterns were more alligned with old architectures, keeping them sane, but drive new models crazy. Maybe new models are just worse trained in tasks i work with. Maybe i am just incredibly unlucky this year having to dismiss 60% of chats as hallucinating.
I find the state of the free ai more important, since the majority of humanity will never buy any model, so free models will have more impact on society (in an optimistic universe where top model does not wipe the planet). Sorry for miscommunication, if the comparison free-to-free was not clear in the original.
Answering your points:
1) I said “before the previous model is turned on”. It starts hallucinating before the moment of switch, so it is incorrect statement that i mixed two models in one chat. I have specifically said the phrase because I expected that switching LLMs could in the mind of a reader be an assumption.
2) I do not intend to buy any subscription. I am comparing current free state of the technology with the previous free state of the technology. I have no doubt there are paid versions who can be orders of magnitude better.
Talking about translation I meant “every free LLM mentioned: claude sonnet 4.6, chatgpt 5.5, gemini 3.5 flash”. Google translate might be a specialised llm since it is performing a lot better, than the free general tools perform on my tasks.
“Makes something close to what is expected”—I mostly engage with strict domains (physics simulations or graph theory), so any formula/algorithm is either recalled correctly from the literature and is truth or is just incorrect (and then i have to scroll through literature to find manually). There is no blurry logic there. I do not engage with tasks like making ui.