cat_plus_plus

9 ms·

31.
by cat_plus_plus 6mo ago
My news reading AI policy - I will use whatever source for news, AI or human, that gives me the best news. A lot of times it's human, like I appreciate diverse human comments on ycombinator. CNN used to have comments threads on article
32.
by cat_plus_plus 6mo ago
I don't eat grass.
33.
by cat_plus_plus 6mo ago
That's a dim view, people also contribute to make projects work for their own needs with hopes to share fixes with others. Like if I make a fix to vLLM to make a model load on particular hardware, I can verify functionality (LLM no lon
34.
by cat_plus_plus 6mo ago
I just got MiniMax $200/year token plan. Usually it works fine for daily coding, if it gets stuck I pay for some Claude API calls through Roo gateway. Unlike other plans, this one officially supports running OpenClaw or other API workf
35.
by cat_plus_plus 6mo ago
Why are you assuming the actual implementation was authored by a human?
36.
by cat_plus_plus 7mo ago
So what does liberal even mean these days? California is passing bs like age verification in OS and Montana is protecting my right to leave the way I want in my own home, running whatever AI models suit me as long as I am not bothering anyo
37.
by cat_plus_plus 7mo ago
There are 1 bit average GGUFs of large models, not perfect quality but they will hold a conversation. These days, there is also quantized finetuning to heal the damage.
38.
by cat_plus_plus 7mo ago
Well, it's open training in the sense that the code is open source and you are free to fix it so it trains successfully. That's consistent with how open source works generally. In my experience unsloth is where new model training
39.
by cat_plus_plus 7mo ago
The actual task is usually to mix something that looks like a dozen of different open source repos combined but to take just the necessary parts for task at hand and add glue / custom code for the exact thing being built. While I could
40.
by cat_plus_plus 7mo ago
Try writing code from description without looking at the picture or generated graphics. Visual LLM with a suggestion to find coordinates of different features and use lines/curves to match them might do better.
41.
by cat_plus_plus 7mo ago
That's very impressive. Your LLM actually wrote a correct code for a full relational database on the first try, like it takes 2.5 seconds to insert 100 rows but it stores them correctly and select is pretty fast. How many humans can do
42.
by cat_plus_plus 7mo ago
I have an NVIDIA Thor Dev Kit, a somewhat less known cousin of DGX Spark.
43.
by cat_plus_plus 7mo ago
There are so many inference providers not working for Department of War. Even Alibaba and sure China has lots of issues but they are not bombing anyone now if that's your first priority. Or else, smaller US / European / Asi
44.
by cat_plus_plus 7mo ago
Do you have evidence that they were sacked rather than resigned because they would rather work in a different direction from the one company is taking?
45.
by cat_plus_plus 7mo ago
Somewhat of a devil's advocate here, because I am very familar with corporate idiocy. But how do you define a non-sociopathic corporate scenario where a company makes a lot of money from a good product they develop? Even if done in max
46.
by cat_plus_plus 7mo ago
Well, Alibaba hiring a Gemini guy to run Qwen suggests they want to make Qwen into a big consumer / enterprise business like Gemini. I am not sure that I blame them even if it clashes with how their top researchers were hoping Qwen wou
47.
by cat_plus_plus 7mo ago
The problem is that Google treats its customers as college kids who can be banned from a college maker lab for using too much 3D filament rather than entrepreneurs who are trusting their livelyhood to a service provider that promises to be
48.
by cat_plus_plus 8mo ago
"it's worth considering that there are many people with incredibly strong anti-LLM views, and those people tend to be minorities or other vulnerable groups." I have pretty low expectations for human code in that repository.
49.
by cat_plus_plus 8mo ago
What are you inputs and outputs? If inputs are zip files and outputs is uncompressed text, don't use an LLM. If inputs are English strings and outputs are localized strings, LLMs are way more accurate than any procedural code you might
50.
by cat_plus_plus 8mo ago
Good for artists I guess, I wouldn't know because I am not one. The best I can manage is drawing a stick figure of a cat. Years back I was working on a Mac app and I needed an icon. So I talked to an artist and she asked for $5K to mak
51.
by cat_plus_plus 8mo ago
I am TL of an Android app with dozens of screens that expose hundreds of different distinct functions. My task is to expose all of these functions as appfunctions that can be called by an LLM in response to free form user requests. My curre
52.
by cat_plus_plus 8mo ago
I have no idea what everyone is talking about. LLMs are based on relatively simple math, inference is much easier to learn and customize than say Android APIs. Once you do you can apply familiar programming style logic to messy concepts lik
53.
by cat_plus_plus 8mo ago
I admire patience of anyone who runs dense models on unified memory. Personally, I would rather feed an entire programming book or code directory to a sparse model and get an answer in 30 seconds and then use cloud in rare cases it's n
54.
by cat_plus_plus 8mo ago
Depends on whether you want a programmer or a therapist. Given clear description of class structure and key algorithms, Qwen3-Code is way more likely to do exactly what is being asked than any Gemini model. If you want to turn a vague idea
55.
by cat_plus_plus 9mo ago
That's why I run a local Qwen3-Next model on an NVIDIA Thor dev kit (Apple Silicon and DGX Spark are other options but they are even more expensive for 128GB VRAM)
56.
by cat_plus_plus 9mo ago
Dumbest thing in the world, not wanting buyers who are ready to complete transaction the moment they find what they want. When my car broke down and cost too much to repair I described what I need - low mileage, big trunk, 40+ MPG, under ce
57.
by cat_plus_plus 9mo ago
Modern diversity policies are inherently mockable because they refuse to make a firm intellectual stance. Corporations have DEI events for "employees that identify as Black+", implying exactly that race is arbitrary and surface le
58.
by cat_plus_plus 9mo ago
Do not blame the tools? Given a clear description (overall design, various methods to add, inputs, outputs), Google Antigravity often writes better zero shot code than an average human engineer - consistent checks for special cases, local o
59.
by cat_plus_plus 9mo ago
How is this racism? It's a complaint about alleged racism and a pun on corporate "Identifies as black" DEI events. He is not saying anything negative about asian candidate or black character.
60.
by cat_plus_plus 9mo ago
People hate AI instead of humans - themselves (job), others (customer support). People love AI instead of nothing - coding help, medical questions when not at doctor's office, companionship when quality human interaction is scarce. You

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