moqizhengz

4 ms·

1.
by moqizhengz 7mo ago
its not about the cost or complexity of the solution, its just about the info density. ```The result after running 20 parallel agents on this for ~2 days:``` That's basically saying 'yeah, me and my 20 coworkers figure everything
2.
by moqizhengz 7mo ago
Running 3.5 9B on my ASUS 5070ti 16G with lm studio gives a stable ~100 tok/s. This outperforms the majority of online llm services and the actual quality of output matches the benchmark. This model is really something, first time ever
3.
by moqizhengz 1y ago
Awesome work, but I am genuinely curios about the use cases where the 200ms init time being a problem?
4.
by moqizhengz 1y ago
This is bad already when we dont get rickrolled on the first click
5.
by moqizhengz 1y ago
How is SLM the future of AI while we are not even sure about if LMs are the future of AI?
6.
by moqizhengz 1y ago
This stupid ad is officially the end of an era. Apple died.
7.
by moqizhengz 1y ago
Would you mind to name it so we can show some respect
8.
by moqizhengz 1y ago
idk, but this website itself seems pretty dead to me. It feels pretty laggy. It cause my CPU to reach ~60% when simply hovering on items. It is built with Nextjs 15. It shows 1 result found and an empty list when I search Nextjs.
9.
by moqizhengz 1y ago
BFF is in practice a pain in the ass, it is large enterprise like Google's compromise but many ppl are trying to follow what Google does without Google's problem scope and well-developed infra. Dan's post somehow reinforces t
10.
by moqizhengz 1y ago
> Let's say someone made a critical error in their code. Now, it would be nicer and kinder to say "Perhaps you could have done that better, it might have harmful impact on users" and you can also tell the person "This
11.
by moqizhengz 1y ago
From my experience in big tech, another reason is that OPS guys just cant resist the concept of eBPF, go all the way done trying to figure out what this beautiful technology can do and forgot what thery really wanted at the begining.
12.
by moqizhengz 2y ago
In conclusion, Google selected 178 relatively easy issues out of their 80K BUG database and found out Gemini 1.5 was kind of good when dealing with machine-detected bugs. Maybe its time to build some post-ut automated patch generation CI pi
13.
by moqizhengz 2y ago
This is a very typical reply when we see someone pointing out the flaws of AI coding tools. "You are using it wrong, AI can do everything if you properly prompt it" Yes, it can write everything if I provide enough context, but it