I find it it incredible how much worse this article is compared to OpenAI’s article [0]

Mixpanel certainly has more info than OpenAI, yet has determined to share far less with the public. This reflects very poorly on them as a company.

[0] https://openai.com/index/mixpanel-incident/

i see so just run cf tunnel and ISP wouldn't be able to see I am hosting web apps? what if I am streaming large files (not torrent)? couldn't they see the bandwidths being consumed and then tell me to upgrade to business ?

Is the price here correct? https://openrouter.ai/moonshotai/kimi-k2-thinking Would be $0,60 for input and $2,50 for 1 million output tokens. If the model is really that good it's 4x cheaper than comparable models. It's hosted at a loss or the others have a huge margin? I might miss something here. Would love some expert opinion :)

FYI: the non thinking variant has the same price.

I've noticed this with Gemini recently - I have a task suited for LLMs which I want it to do "manually" (e.g., split this list of inconsistently formatted names into first/given names and last/surnames) and it tries to write a script to do it instead, which fails. If I just wanted to split on the first space I would've done it myself...

By sandboxing:

> We first discuss the implementation considerations of the input to the Wasm-side Init() API call. The isolated linear memory space of Wasm instance is referred to as guest, while the program’s address space running the Wasm instance is referred to as host. The input to a Wasm instance consists of the contiguous bytes of an EncUnit copied from the host’s memory into the guest’s memory, plus any additional runtime options.

> Although research has shown the importance of minimizing the number of memory copies in analytical workloads, we consider the memory copy while passing input to Wasm decoders hard to avoid for several reasons. First, the sandboxed linear memory restricts the guest to accessing only its own memory. Prior work has modified Wasm runtimes to allow access to host memory for reduced copying, but such changes compromise Wasm’s security guarantees

You can try it out on https://chat.qwen.ai/ - sign in with Google or GitHub (signed out users can't use the voice mode) and then click on the voice icon.

It has an entertaining selection of different voices, including:

*Dylan* - A teenager who grew up in Beijing's hutongs

*Peter* - Tianjin crosstalk, professionally supporting others

*Cherry* - A sunny, positive, friendly, and natural young lady

*Ethan* - A sunny, warm, energetic, and vigorous boy

*Eric* - A Sichuan Chengdu man who stands out from the crowd

*Jada* - The fiery older sister from Shanghai

It’s entirely possible that this is causal ABs deliberate, ie the reason why boards of these companies have approved large CEO pay packages is so that the CEO will align themselves with the shareholders paying them rather than the workers working for them and cut wages so the money can be returned to shareholders as buybacks.