天空вℓσи∂ @skyblond@qoto.org

BTW I ordered AMD 7900XTX with about 880 USD. It's still a bit expensive, but much better than nvidia cards.

Considering now I'm mainly using openSUSE for daily drive and have fedora on my next-to-me-but-I-still-ssh-in desktop, and my main workload is inferencing, I see no issue in buying AMD. Plus now I can finally play minecraft with beautiful shaders.

Not sure when the RAM and GPU price will drop to normal, also don't know if there is an AI bubble or not...

but I do when Microsoft becomes MicroSlop, and OpenAI is spending way more than they have earned, things are not going in the right direction.

AI and LLMs won't go way. I have already ordered the first dedicated GPU in my life for just running Google's latest Gemma 4 locally. AI and LLM can't match human's intelligence, but still better than normal coding in certain tasks. I'd like to see something like LLM can speed up some tasks for me in a controlled way, not dispatch and blindly trust it.

----
The Worst is Almost Over
by Linus Tech Tips
https://www.youtube.com/watch?v=WxUBCrr4CdE

¯\_(ツ)_/¯

OMG He is back!!!

Does anyone tried this? https://docs.koog.ai

I think for now LangChain4J is barely usable. It is painful to use. I have built two projects using langchain4j, and I noticed that when dealing with jobs instead of conversations, it is very limited.

I'm thinking if I should give koog a try.

"Googling the answer is basically boomer behavior now"

What did you say?

The general process is as follows:

1. Unpack the epub file, clean up any remnants of the Kobo crack, and change the layout from Japanese vertical to a standard left-to-right horizontal format.

2. Scan for the 'p' tag, generate a unique XPath based on the tag, and then extract the HTML and store it in a JSON array.

3. Feed the HTML to the LLM to identify entities by chapter, also generate chapter summaries.

4. Manually review the entity list to determine the names of key characters and items, ensuring consistency in key character names.

5. Translating sentence by sentence based on the above information.

Afterwards, I'm planning to implement automated QA using the LLM to check for translations that do not conform to the XHTML format, and to find mistranslations, omissions, fabrications, and errors in terminology and entity naming.

This way, I don't need to read it from beginning to end; I only need to correct the key errors. Finally, restore the XHTML file based on the XPath, repackage the epub file, and the translation is complete.

By the way, this is a translation of the novel of Chou KaguyaHime.

Even China starts to considering banning social media for under 16s.

I hope now those teenagers can learn about things like tor and i2p, and build their own place on the internet.

I'm no longer 16, but when I was 16, I certainly know that I deserve a voice, I deserve a platform to connect with people and share my life. Nowadays people might be changed and such a platform could be toxic, but I won't say it's the kid's fault.

If I'm still 16, I certainly know I won't stop doing something just because the government said no (unless with good reasons).

That's it. Today is the Lantern Festival, which is also the last day of Chinese Lunar New Year.

Tonight feels like a warzone (sorry for who really in a warzone). It has been years since the last time I heard the sounds of fireworks. Shame on the government for banning fireworks.

Zhajiang (fried sauce), the black/brown thing in the bowl doesn't look nice, but I guarantee you it tastes great.

Combined with noodles, you get Zhajiangmian (noodles with fried sauce), along with all the other ingredients, it's really good. I love my cooking skills.

Good lord, Israel and US launched a war with Iran when I was cooking? What have I missed?