xgstation

> This is one reason why Deepseek & GLM are priced so cheaply, they are competing with impossibly low token prices in China. They have to keep prices low, in order for people to use them.

This one does not make sense to me at all.

Deepseek and GLM are openweights, even US inference provider are selling them at much cheaper price. The price is cheap because the model is more efficient.

I imagine FPGA could just be part of general CPU that provides user space APIs to program them to accelerate certain work flow, in other words, this sounds like exactly JIT to me. People may program FPGA as they need to, e.g. AV1 encoder/decoder, accelerate some NN layers, or even a JS runtime, am I thinking something too wild for hardware capability or is it just the ecosystem isn't there yet to allow such flexible use cases?

there is only 160MHz on 5Ghz that's non DFS/Weather Radar

even in single language, how do you handle schema evolution (detect breaking changes at compile time) without IDL?

is using Rust to rewrite existing package managers a new trendy thing

feels we eagerly need cv -> C/C++ package manager

sure there are hype around MCP, but how does that bridges to "MCP Is Mostly Bullshit"?

the title is more or less click bait, even author admits it

> I am not even saying MCP is bad tech or useless. It’s just one way among others to provide context to AI assistants/agents. If you have ever built an LLM-based application, you have more or less done something similar.

but beyond just similar, it's very good to see there is a standard protocol that everyone adopts it, and the MCP will make the existing tools & services immediate ready with better models being released in the future much easier

nit: replace "may have" with "has"

but yes I am tired of seeing this kind of "news". they don't carry much useful information, more like noise nowadays

It is really fun and sarcastic to watch all this happening. U.S. Gov. tried to block China from accessing GPU resources very hardly to stop their AI development, but actually helped China to take a leap on developing efficient and more cost-effective LLM model with constraint GPU access.

I can imagine how depress Lee felt when being beaten by AI the first time, but looking at the bright side, we see Shin Jin-seo as the rising star in the AI-era of Go by leveraing AI to help him training.

from Company perspective, I think the answer is yes

but from individual perspective I don't think that is the case. Since AlphaGo first time was released and beat world-class players, have all these players gone? not really, but it even promotes more people study Go with AI instead.

As a software engineer myself, am I enjoy using AI for coding? yes, for many trivial and repetitive works, but do I want it to take my coding works fully away such that I can just type natural languages? My answer is no. I still need the dopamine hit from coding myself, either for work or my for hobby time, even I am rebuilding some wheels other folks have already built, and I believe many of ours are the same.

> I did not "claim" or "state" from myself directly, I said "recognized as malware" (as per automated analysis from sites), let's learn properly understand the things we read, before "hater expert readers" jump into conclusions. Because the questions I was asking is not "is this malware or not", the questions I did ask across multiple occasions and we should all ask, and some intelligence individuals did just that

Hey, hackernews readers aren't stupid, we all know what communication effect (click-bait) it brings when you put "Chinese" and "Malware" together in title.