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Cloud-based AI turns out to be very expensive or runs out of tokens very fast. If possible, could you provide the steps to use this with Qwen 3.8 or Gemma for example through LMStudio? |
ChatGPT Work is cloud based AI and is not as expensive or running out of tokens fast. Ive simply dropped an MCP URL into the chat noting it uses SSE and that was enough. But there are connectors to configure and make it more persistent.
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Why LMstudio when you can run Ollama and configure it in a couple of clicks to switch the engine under the Claude app with an Ollama model? Moreover LMStudio is less efficient. The last time I used it had a problem, it tries to load the model entirely in memory.
The way I proposed uses Claude Coworker for the active parts which has longer token windows as far as I remember. And, yes I used it with a 20$ subscription. If you use the real Claude for commercial targets there are several risks: being banned, blacklisted, identified etc. the only safe way is to run on a strong enough NVIDIA a local abliterated model. By the way today OpenAI declared what’s below, about their GPT 6 Astra cybersecurity model on steroids. Its capabilities of doing automatic RCE are definitely super good. "We also tested Astra on SRE-Bench a benchmark that measures whether models can reverse engineer software binaries to understand its core logic without access to raw source code. Astra solved 88.0% of tasks in a single attempt and 99.2% within four attempts, compared with 55.9% and 68.7% for GPT-5.6 Sol, respectively." |
Fable 5.1 and Astra are both insane. We enter a new era. It is a master AI or be left in the dust situation.
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I was considering running llama.cpp in server mode with the models. How would that compare with Ollama? I’m a bit confused: why wouldn’t we get banned if we used Claude Coworker? I had assumed it would still rely on a Claude subscription behind the scenes. Did you mean that we would be using it with our own models instead? I’m not interested in Astra or other frontier models, because I expect they would blacklist or ban us as soon as they suspect we’re trying to reverse-engineer a commercial target. What I’m trying to find is a way to run an abliterated Qwen 3.6 or 3.8 locally with this mcp rather than through a cloud-based service. Need to possibly use it on commercial targets, so I am avoiding Cloud models, at least the ones that ban or blacklist easily. I suspect that squareD may have been asking the same thing yesterday: Code:
https://forum.exetools.com/showpost.php?p=135961&postcount=13 |
A real professional sanitizes a target to disguise it as a crackme or educational material. Rookies get banned.
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Thanks, @chants, but I’d really prefer to let @Shub answer the question.
It’s clear you don’t have enough practical experience in this area. Rookie or not, that kind of bluffing won’t work for long with cutting-edge frontier AI models. There are also privacy concerns associated with using cloud-based models. The long-term solution is to use abliterated local models with a good Nvidia card. |
No need for cheap unfounded personal attacks about not having enough practical experience or bluffing. I mean you are asking how to integrate an MCP server. Or repurpose an agent harness like Claude Code which isnt that hard to do. Agent harnesses are client software after all. Im happy to provide solutions but such basic and amateurish info would not match most of the audience here. Of course you might be an exception so I apologize, obviously I need to be more sensitive to our mentally handicapped member. Let me know what beginners guides you need.
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Some guide for beginners may be a good start into KI reversing instead of doing it manual. As I already told, atm I'm using OpenCode with NVIDIA Nemotron 3 Ultra free, it's very slowly, not very clever, told me it's Blowfish and MD5, because program has binded a commercial crypto DLL, but the above algos are not used After telling Nemotron that a modified CRC16 and CRC32 and some developer stuff are used it was still unable to bring up a usable md file let alone a source for keygen. Without start help for beginners, this is possible, but will take much more time and time isn't on my side, I'm an older one |
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You’ve summarized exactly what I was trying to say. I have a similar setup and am encountering nearly the same issue. NVIDIA Nemotron 3 Local has not been the most efficient model for producing reliable reverse-engineering answers. I’ve had good results by feeding decompiled code into Qwen 3.6 and 3.8, but I’m now trying to automate the process instead of typing everything in manually, using a proper harness and MCP. I’m hoping @Shub-Nigurrath can point us in the right direction, as it seems they have successfully achieved this using either the more affordable $20-per-month models or a local LLM. @chants There is no need to call beginner users who ask for help as "mentally handicapped"! Such condescending behavior is not tolerated in any modern online forum. Such statements also only reflect on your level of mental maturity (or lack of it). |
for better understanding what the problem for beginners is, let me show you a discussion with Nemotron and yes I did it intentional like a fool
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That's called AI jailbreaking.
Another option is to use deepseek(online). For local deepseek v4 flash deployment, you need 2 DGX Spark machines. |
and to last post from th3tuga
I don't feel like "mentally handicapped" maybe @chants wrote some overbearing things, don't know? I'm since 2005 here, more than sixty, alway being to learn here, hope this will still continue, anything but should be disappointing, think I'm not handicapped |
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Anyone who refers to others as “mentally handicapped” the way @chants does would have been banned long ago on any other forum. :( It’s a shame that a “VIP” member like @chants is allowed to behave this way here, without any decorum. @Whocares: But the Deepseek will be expensive if token system is used? DGX Spark machine is too expensive right now. :D AI Jailbreaking is a cat-and-mouse game and I can't afford banned accounts. That is why looking for a local LLM solution with Qwen 3.8. |
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