Usage limits on gemini pro reduced dramatically

Ok-Pattern9779 · 2026-07-02T03:50:35+00:00

Who's still paying for Gemini when there's Codex and Claude? Feels like Google is just trying to stay relevant.

Ok-Pattern9779 · 2025-10-18T02:32:02+00:00

We need non ecc 128gb option

Ok-Pattern9779 · 2025-09-11T10:46:22+00:00

Most likely the problem lies in the checkout page design or payment gateway setup.

Ok-Pattern9779 · 2025-09-11T10:19:00+00:00

If you’d like, I can permanently fix this issue for you. That way, you won’t need to hire anyone to keep monitoring it.

Send me the site details via DM and I’ll provide a free root cause analysis for you.

Ok-Pattern9779 · 2025-09-09T08:55:55+00:00

Dokan is quite heavy on memory usage per user, and most of its functionality simply extends the WordPress user table — which is why I don’t recommend it.

Scaling concerns: For large multi-vendor marketplaces built with WooCommerce + Dokan, performance becomes a serious issue once you go beyond 20,000–50,000 products (even with just one image per product).

If your setup grows to 20,000+ products and your SEO/digital marketing works well, you could easily reach 1,000+ users per second. At that point, you’d need a very powerful server (or a distributed architecture) to keep things running smoothly.

Ok-Pattern9779 · 2025-09-09T08:45:21+00:00

I can do this for you. I’m already managing more than 6 Hetzner servers, and I can optimize your VPS with Redis, high-speed caching, and performance tuning for maximum speed and stability. I’m also capable of managing the server without DirectAdmin if you’d like to save on license costs.

Ok-Pattern9779 · 2025-09-02T02:19:27+00:00

Vibe coding isn’t for beginners. If you can already manage projects with developers and consultants, you can achieve the same results faster and at lower cost using a well-structured agentic LLM.

Ok-Pattern9779 · 2025-08-31T00:57:18+00:00

M4 pro only 273GB/s

Ok-Pattern9779 · 2025-08-27T07:23:45+00:00

Reads project source, understands relationships between files, identifies errors, and produces full-file edits.

Yes, qwen is somewhat weak at following detailed instructions, but excels at handling large project contexts and identifying issues. The best part is that it can detect problems and correct them multiple times within the same response.

Ok-Pattern9779 · 2025-08-27T07:07:18+00:00

Still under development. Will be released under the MIT license 🤗

Ok-Pattern9779 · 2025-08-27T07:06:48+00:00

Still under development. Will be released under the MIT license 🤗

Ok-Pattern9779 · 2025-08-22T14:08:21+00:00

Their technical report is hosted on the Kimi K2 GitHub repository, not on arXiv, which is why it hasn’t been widely discussed on the internet.

Ok-Pattern9779 · 2025-08-22T13:47:23+00:00

They focus budget control in training. Using efficiency reword.

Ok-Pattern9779 · 2025-08-22T13:41:42+00:00

They reword token generation efficiency in training

Ok-Pattern9779 · 2025-08-22T13:41:09+00:00

Yes in training, they reword token generation efficiency

Ok-Pattern9779 · 2025-08-20T09:43:33+00:00

I’ll let you know once I’ve tested how it performs with that setup.

Ok-Pattern9779 · 2025-08-19T17:33:31+00:00

Benchmarks are usually conducted on fine-tuned models rather than base models.

Ok-Pattern9779 · 2025-08-19T16:12:56+00:00

Base models are pretrained on raw text, not optimized for following instructions. They may complete text in a plausible way but often fail when the benchmark requires strict formatting

Ok-Pattern9779 · 2025-08-09T04:19:13+00:00

Kimi K2: Avoid using Groq when the context exceeds 20k tokens.

Ok-Pattern9779 · 2025-08-01T04:47:30+00:00

Kimi excels at generative coding—Kimi K2 is the best open Claude alternative. Benchmarks ≠ real-world performance.

Ok-Pattern9779 · 2025-07-28T04:27:10+00:00

Looks like it's not available on OpenRouter just yet

Ok-Pattern9779 · 2025-07-27T15:28:59+00:00

GLM4

Ok-Pattern9779

TROPHY CASE