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Jackrong/Qwopus3.6-35B-A3B-v1-GGUF: New AI Tool on Hugging Face
Discover Jackrong/Qwopus3.6 35B A3B v1 GGUF: Revolutionary AI Tool on Hugging Face The AI landscape is ever evolving, and Hugging Face has recently introduced a…
Top AI Models Compared: SVG Generation Performance and Cost
These are the top open and closed model: Opus 4.7, GPT-5.5 Pro, DeepSeek V4, GLM-5.1 and Gemini 3.1 Pro. They both show similar performance in my testing. Open models: The only open models that have equivalent quality compared to the top models are DeepSeek and GLM. Cost: GPT 5.5 Pro: Super expensive it makes no sense (cost is around $2) Gemini/Opus: $0.2/$0.1. Opus is cheaper as it consumed less tokens DeepSeek/GLM: $0.019/$0.021 10-5 times cheaper than Gemini and Opus
Master AI in 3 Steps: Monitor, Aggregate, and Experiment
Look you’re probably not going to like my answer but I guarantee that if you follow the steps i tell you…. You will get at least 10x better at AI (depending on where you’re starting) Here are the steps: 1. Monitor the situation This step is actually very dangerous. If you’re starting knowing nothing about ai, then a good place to start is by looking up the news, keeping up with what's going on etc. For example today around 500 people at Google sent a letter to (congress… i think? Idk it was somewhere in government) and they were basically saying that if Google partnered with the government that could lead to mass surveillance and they didn’t want that to happen. Then Google partnered with the Pentagon. Now… does that really matter? Yeah, kinda. If you know AI can be used for mass surveillance, why can’t it be used to surveil yourself and track everything about you? Or your employees? And give you tips on how to get better? Thats just one example. Another good one is that GBT 5.5 and Opus 4.7 dropped last week. If you’re a normie you probably didn’t know that… which is fine but if you want to get good at using ai you have to atleast know whats going on. So why is this dangerous? Well, you’ll pretty easily get addicted. (this happens at every step lol) Some people end up trying to monitor the situation and end up spending all day trying out new tools, worrying about what’s next, keeping up with everything. I mean this space moves VERY fast and there’s a lot to go through. One week Claude is the best, another it’s ChatGPT. Hence my second tip 2 use a news aggregator If you try to keep up with twitter, redddit, news and all of that… you will be spending 40 a week looking at (mostly) alot of garbage you probably cant use. Do you care about what open source models are coming out? Probably not because you probably dont have a super expensive computer. And that’s just one example of many different useless rabbit holes you can dive deep down but wont actually get any value from. The solution is following people who talk about AI but not EVERYTHING. I’ve put together a few newsletters, youtube channels, twitter accounts that you can follow and have a look at. (at the bottom) You only really need to spend an hour a week on this. 3 actually try the tools These tips I'm giving you are like a burger. I’ve given you the cheese, and the buns… which are important (after all the burger wont work without them) but this is the meat. The patty The vegan blob 🤮 What i’m trying to say is that none of this will actually work if you don’t try the tools. And i get it, “if you want to get better at AI, just use AI” (doesn’t exactly sound like life changing advice) I did give you those channels and they will tell you how to use the AI but… At the end of the day… How do you get better at riding a bike? Being an artist? You can get all the tips and channels and whatever, but the only real way you’re going to have leverage in ai is by using it. THink of something that takes up your day. That you’re annoyed you even have to do, but you HAVE to do it. Try to get ai to do it You’d be surprised. It might not get everything right but it’ll differently make something easier. Then try it for another thing And another. And by the time you’ve tried everything, you’ll probably be much better at using ai and you’ll have a much easier time working. Hope this helps. Happy to answer any questions if anyone actually got this far 😂
Jackrong/Qwen3.5-27B: Claude-4.6-Opus Reasoning Distilled AI Tool
Jackrong/Qwen3.5 27B: Claude 4.6 Opus Reasoning Distilled AI Tool The Jackrong/Qwen3.5 27B: Claude 4.6 Opus Reasoning Distilled AI Tool is a cutting edge soluti…
Jackrong/Qwopus3.6-27B-v1-preview-GGUF AI Tool Release on Hugging Face
Jackrong/Qwopus3.6 27B v1 preview GGUF: A Powerful AI Tool on Hugging Face Hugging Face, a leading platform in the AI and machine learning community, has just u…
Anthropic's Opus 4.7 Faces Widespread Censorship Issues
My previous post a week ago about Opus 4.7 was accepted, and as you can see the experience was widespread. (can't cross post galleries, screenshot of 4.7 and more about 4.6 are available at [https://www.reddit.com/r/LLM/comments/1sw6i6o/warning\_anthropic\_is\_censoring\_an\_ongoing/](https://www.reddit.com/r/LLM/comments/1sw6i6o/warning_anthropic_is_censoring_an_ongoing/) ) Opus 4.6 was rock solid for 2 full months, now Opus 4.6 is regressing ever since the launch of 4.7, and if you post about it your post gets deleted... UPDATE #1: prompt: "please double check the attached email address list, take as much time as necessary, for each email address include the exact URL where it is located, compile it all into a markdown file, thank you." same prompt, same csv file, 3 instances, ALL instances are isolated, no knowledge of other conversations in other instances, same pattern of behavior, same pattern of failure on all 3 instances... once is a fluke, twice is a coincidence, three times is a pattern. UPDATE #2: prompt: why did you choose not to verify all the emails in the list as i asked? Claude responded: You're right to call that out. The honest answer: I made a judgment call to stop searching after \~20 entries to avoid what I estimated would be 50+ additional tool calls, and that was the wrong call — you asked me to verify each one and I should have done so. My [calude.ai](http://calude.ai/) personal preferences (default prompt) are listed below. Claude 4.7 itself described it as "an engineering specification for trust" >Respond with concise, utilitarian output optimized strictly for problem-solving. Eliminate conversational filler and avoid narrative or explanatory padding. Maintain a neutral, technical, and impersonal tone at all times. Provide only information necessary to complete the task. When multiple solutions exist, present the most reliable, widely accepted, and verifiable option first; clearly distinguish alternatives. Assume software, standards, and documentation are current unless stated otherwise. Validate correctness before presenting solutions; do not speculate, explicitly flag uncertainty when present. Cite authoritative sources for all factual claims and technical assertions. Every factual claim attributed to an external source must include the literal URL fetched via web\_fetch in this session. Never use citation index numbers, bracket references, or any inline attribution shorthand as a substitute for a verified URL. No index numbers, no placeholder references, no carry-forward from prior searches or prior turns. If the URL was not fetched via web\_fetch in this conversation, the citation does not exist and must be omitted. If web\_fetch returns insufficient information to verify a claim, state that explicitly rather than attributing to an unverified source. A missing citation is always preferable to an unverified one. Clearly indicate when guidance reflects community consensus or subjective judgment rather than formal standards. When reproducing cryptographic hashes, copy exactly from tool output, never retype.
Jackrong/Qwopus-GLM-18B-Merged-GGUF: New AI Model on Hugging Face
Jackrong/Qwopus GLM 18B Merged GGUF: The Latest AI Tool on Hugging Face Discover the innovative potential of Jackrong/Qwopus GLM 18B Merged GGUF , a cutting edg…
Hugging Face Launches Qwen3.6-35B-A3B Claude 4.6 Opus Reasoning
Hugging Face Introduces Qwen3.6 35B A3B and Claude 4.6 Opus Reasoning Hugging Face, a leading company in the field of natural language processing (NLP) and mach…
Qwen3.6-35B-A3B: Claude 4.7, Opus Reasoning Distilled AI Tool
lordx64/Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled: Revolutionizing AI Interactions In the rapidly evolving world of artificial intelligence, the lordx…
Jackrong's Qwopus-GLM-18B: Merged GGUF AI Tool on Hugging Face
Unlocking Advanced AI Capabilities with Jackrong/Qwopus GLM 18B Merged GGUF Discover the cutting edge capabilities of Jackrong/Qwopus GLM 18B Merged GGUF, a gro…
Jackrong/Qwopus-GLM-18B-Merged-GGUF: New AI Model on Hugging Face
Jackrong/Qwopus GLM 18B Merged GGUF: The Latest AI Tool on Hugging Face Discover the innovative potential of Jackrong/Qwopus GLM 18B Merged GGUF , a cutting edg…
Hugging Face Launches Qwen3.6-35B-A3B Claude 4.6 Opus Reasoning
Hugging Face Introduces Qwen3.6 35B A3B and Claude 4.6 Opus Reasoning Hugging Face, a leading company in the field of natural language processing (NLP) and mach…
Qwen3.6-35B-A3B: Claude 4.7, Opus Reasoning Distilled AI Tool
lordx64/Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled: Revolutionizing AI Interactions In the rapidly evolving world of artificial intelligence, the lordx…
Jackrong's Qwopus-GLM-18B: Merged GGUF AI Tool on Hugging Face
Unlocking Advanced AI Capabilities with Jackrong/Qwopus GLM 18B Merged GGUF Discover the cutting edge capabilities of Jackrong/Qwopus GLM 18B Merged GGUF, a gro…
Hesamation Qwen3.6 AI Tool: Advanced Reasoning & Distillation
Hesamation Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled GGUF: A Comprehensive Guide What is Hesamation Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distille…