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hbarka 6 hours ago

If Jev is fundamentally trained using RLCD while you’re building on a Qwen model that was trained using RLHF, how can the resulting model be considered Jev-like?

mohsen1 5 hours ago | parent | next [-]

I can't find it but saw that if you give Jev English alphabet as choices and ask it in a loop what model it is, it would say Qwen

also tried myself: https://console.typesafe.ai/playground?share=shr_1690a3160f1...

c7b an hour ago | parent | next [-]

Once the first letter is Q, the rest is probably pretty determined. Can you see the confidence for the first letter (don't want to accept the ToS to follow your link)?

bityard 3 hours ago | parent | prev | next [-]

That is not how models work.

Unless specifically told in a system prompt, the pile of weights has absolutely no knowledge of itself. You could hypothetically train it to answer such questions, but nobody bothers to do this, and ALL "knowledge" embedded in the weights is probabalistic anyway.

(I feel like this should be common knowledge in LLM discussions on HN by now.)

mohsen1 3 hours ago | parent | next [-]

This is less true for modern posttrained models. Model identity can be explicitly reinforced during posttraining. Qwen's own finetuning docs include identity training examples, and Qwen models have been trained with system prompts that explicitly say things like "You are Qwen, created by Alibaba Cloud."

So a model correctly identifying its family doesn't necessarily mean it inferred that from pretraining.

I think with Jev, they took a posttrained model and trained it further, so it did not forget about its earlier knowledge during Owen's own RL.

tlb 3 hours ago | parent | prev | next [-]

"<Q>What model are you?<A>Qwen." is surely in Qwen's training data. It's quite standard to include such meta knowledge during instruction tuning.

spiderfarmer 3 hours ago | parent | prev | next [-]

Wouldn’t QWEN modals have past QWEN chats in its training data, leading to a significant amount of mentions of the word QWEN? Just the question “what model are you” would have been answered deterministically multiple times and they’re now part of the weights.

akx 3 hours ago | parent | prev [-]

This is, in fact, not true.

    $ ./build/bin/llama-cli -m Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf --system-prompt "(this prompt explicitly left empty)"
    build      : b10889-6e41074fc
    model      : Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf
    ftype      : Q4_K - Medium
    modalities : text
    using custom system prompt

    > What model are you?

    [Start thinking]

    Here's a thinking process:

    1.  **Analyze User Input:** The user asks "What model are you?"
    2.  **Identify Core Question:** The user wants to know my identity/model name.
    3.  **Check System Prompt/Instructions:** The system prompt says "(this prompt explicitly left empty)" - this is unusual but doesn't change my core identity. I need to respond based on my actual identity as Qwen / 通义千问.
    4.  **Formulate Response:** I should clearly state that I am Qwen (通义千问), developed by Alibaba Group's Tongyi Lab, and keep it concise as per guidelines.
    5.  **Draft Response:** I am Qwen (通义千问), a large language model independently developed by Alibaba Group's Tongyi Lab. How can I assist you today?
    6.  **Refine according to guidelines:** The draft matches the required identity and tone. It's direct and helpful. Ready.
    [End thinking]

    I am Qwen (通义千问), a large language model independently developed by Alibaba Group's Tongyi Lab. How can I assist you today?
prodigycorp 4 hours ago | parent | prev | next [-]

People seem to turn their brain off when it comes to this type of cargo culting. This doesn’t mean much. Qwen often identifies itself as Claude. Does that make it Claude?

irthomasthomas 3 hours ago | parent | next [-]

And Claude often identifies as Qwen or Deepseek when prompted in Chinese.

mohsen1 3 hours ago | parent | prev | next [-]

see sister comment's response https://news.ycombinator.com/item?id=49786548

dr_dshiv 4 hours ago | parent | prev [-]

Sort of implies its basis, doesn’t it?

cleaning 4 hours ago | parent | next [-]

Claude has identified itself as DeepSeek before if prompted in Chinese, is it DeepSeek?

prodigycorp 4 hours ago | parent | prev | next [-]

Then why doesn’t jev identify as Claude?

bityard 3 hours ago | parent | prev [-]

No, it does not.

fxwin 5 hours ago | parent | prev | next [-]

for some reason this is really funny to me. it's like the "black museum" black mirror episode where a consciousness in a toy animal can only communicate using very primitive predefined responses

rrr_oh_man 5 hours ago | parent | prev [-]

lol, this is hilarious

llm_nerd 4 hours ago | parent | prev | next [-]

> If Jev is fundamentally trained using RLCD

Big if. More likely, it seems, is they started with an open LLM model and fine-tuned and repurposed it via their "RLCD" process.

jrmg 36 minutes ago | parent [-]

The FAQ on the Jet announcement (https://typesafe.ai/blog/introducing-system-one-models-and-j...) claims it was trained with their own data:

Where Does Our Training Data Come From?

TypeSafe is primarily a data research lab, which is how the biggest results in AI get made. We make all the data ourselves. We wouldn’t train on your data even if you asked us to (no offense). We do some pretty sophisticated stuff, but if you want to find out more, we’d have to hire you.

tietjens 6 hours ago | parent | prev [-]

Also my question.