Ai Thumb: Local AI, One Click Away
The most cutting-edge and efficient AI tools can now be available at your fingertips with Ai Thumb.
What We Do
Ai Thumb delivers pre-configured AI software and hardware shipped to your door with one-click setup and unlimited licenses. We specialize in:
AI Capabilities:
Image recognition/generation, voice recognition/response, custom model training, hallucination prevention, hardware optimization, and offline security
Customization: Drag-and-drop model loading, bring-your-own-model support, and custom tooling on request
Support: Remote/onsite technical support available; first install includes satisfaction guarantee
Privacy: Fully local and offline — your data never leaves your network
Hello everybody,
I am a representative from Ai Thumb — a software engineer with 10 years of experience and an extensive IT support background. I help with product management at the company here.
My task today is to present and effectively demonstrate our capability to deliver.
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What do we do, and why is this company different?
We develop:
AI software that is one-click start, as applications and hardware — pre-loaded on a pre-tested and installed device.
AI software and/or hardware shipped directly to your doorstep, providing one-click setup for your selected model and an unlimited license on every unit.
Advanced software to do everything you may expect from your own AI, including (but not limited to):
Image Recognition
Image Generation
Voice Recognition
Voice Response
Open Claw and other tools (see site for details)
Customised model and pre-training for reasoning
Pre-testing to prevent hallucinations and ensure general-purpose quality
Response times
Computer, browser, and automation with other tools
Hardware specifications matching and testing to run the most capable model on your machine
100% secure and compliant offline capability
Further development and refinement of anything the customer wants
In the large equipment package, any general-purpose AI tool can be added and pre-installed
Optional general OS hardening and security overview (firewall modifications, active port changes, DNS changes, VPN and network encryption, application removal/replacement, turning off NetBIOS, plus a set of free tools pre-installed)
We offer software and hardware options matched to the size of the AI model you are using. We also support a wide range of models, including:
Kimi K3 — The largest open-weight model ever released with 1M token context window, scoring highest on knowledge-heavy reasoning (GPQA Diamond at 93.5%)
DeepSeek-V4-Flash — Currently leads on coding performance with a 24.1 arena score
GLM-5.2 — Built for agentic engineering, software development, and long-horizon reasoning. Performs competitively with frontier closed-source models like GPT-5.2 and Claude 4.5 Opus, with a 262K token native context window extendable over 1 million tokens
Qwen 3.6-27B — A free, fully open alternative that runs locally at no ongoing cost beyond your own hardware
Kimi K2-Thinking — Scores 100% on AIME 2025 benchmarks
MiniMax M3 — Open-weight, frontier-class model with multimodal support and modular swarm architecture
Step-3.5-Flash — Highest throughput (56 tokens/second) among open models
GPT-OSS-120B — OpenAI’s larger open-weight model built for production general-purpose reasoning, with 116B total parameters
Nemotron 3.5 Lightning (30B A3B) — Cheapest input pricing at $0.05 per 1M tokens
Laguna S 2.1 — A compact MoE coding model with published weights, permissive OpenMDW-1.1 license, and native 1M-token context window
Llama — Meta’s open-source model family, regularly updated with new releases
Mistral — Established open-source model provider with production-ready offerings
Gemma — Google’s open-source model family
Our production hardware options support models up to 144B parameters. Beyond that, our development team requires the proper GPU with your order if placing an equipment order together with software. This can be chosen and assembled with our team’s help.
Multiple models are available that can be loaded into your software. Just drag and drop into the models folder, start the software, and the server should start with no problems (if your model meets the requirements). If you want to Bring Your Own Model (BYOM) and switch it out after testing, the software supports that without issue.
Tired of failing PCs and AI software complications at your site?
We provide a support option for remote and onsite support monthly if needed. On the first install, the company ensures the customer is satisfied before leaving.
Don’t want to share your company data with other companies?
Great — this all runs on local addresses and is never connected to the internet.
How do I know this isn’t just another product demo?
That’s a very good and important question. You should choose a business that is serious about shipping a final, polished product you can actually use.
You should also ask:
How can I be sure this isn’t just another AI service that’s going to post to the wrong accounts?
In our technical support, if you want us on-site, remotely, or to set up your account to your model properly before shipping, we can help with those services.
R&D Notes (Engineer / R&D Technician Hat On)
Some features discussed below are not currently included in our alpha release (Version: Flipping Frog v0.5.2).
Needs for AI Memoization
There is a clear need for specific memorized data, honed for particular tasks. This person in this thread expresses it well:
This resonates hard. I've been working on a robotics data annotation standard, and the exact same pattern shows up everywhere — not just in AI-generated code, but in any system where the generator has no memory of what already exists.
The "near-duplicate helper invented every time" problem is especially brutal. We see it in data schemas: every lab invents their own column names for the same concept, slightly different edge cases handled differently, and nobody notices until someone tries to merge datasets.
Your framing of "prompts don't have memory, commits do" is the right mental model. We solved a version of this by defining a format contract first — a shared schema that every adapter must conform to, regardless of who or what produced the data. Enforced at the ingestion gate, not at the generation prompt.
For code, the equivalent is: don't hope the prompt follows your style — verify the commit satisfies your schema. Linters catch syntax, but who catches semantic duplication? That's the harder problem, and it's probably where the next wave of tooling needs to go.
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There are ways to make the model (or each agent working in a swarm) more proficient, efficient, and effective in its relative position.
This article talks about AI reviewers and the challenges of when they say “no”:
A practical method for testing AI guardrails
We already have a partial solution available now, with more options planned if funding allows:
Already available: Folders for the user to drop materials into for the model to read from.
Coming: Folder structures with a 1-with-2-inside pattern to make partial pre-training material permanently available. Users will be able to give good/bad examples to the model and track points via a “Bot Neuron” — a mini ML responsiveness system that works like reward/punishment feedback for each task.
Model Sizes and Types (Available Now)
1B–7B: Generally experimental
7B–20B: Testable but must be closely monitored (successful use cases include language translation and image scanning)
14B–70B: General use — suitable for beginners or single-use tasks with good consistency (smaller models need more specialised training)
70B–140B: Professional-level — most capable and flexible with a robust data set
140B–200B: Check with us for specific hardware requirements
We primarily rely on K_M_Q4.GGUF files (Quantized 4, GGUF format).
*** WE HAVE FULLY UNCENSORED MODELS AVAILABLE UPON REQUEST ***
*** IF YOU ORDER, PLEASE USE IT SAFELY AND ALWAYS MONITOR IT! ***
Many people already understand the importance of a privacy-first LLM that is local, manageable, and fully owned:
A few points:
You can’t properly rely on a model for calculations while simultaneously claiming it isn’t doing those calculations correctly.
That said, it’s important to show real appreciation and engineering respect for the work. I’d genuinely like to see some code or a clearer working example of loading a Google AI model straight into the browser cache. Even as someone who’s seen these models produce surprisingly strong raw text responses without much refining, I know that level of performance is impressive — though it’s not always practical for rigorous testing. Always test your products before you ship.
Expanding Development for Automated Workflows
For voice recognition we are testing:
Qwen3-ASR 1.7B
NVIDIA Canary-Qwen 2.5B
Whisper Large V3 Turbo
IBM Granite Speech 3.3 8B (for accuracy)
Moonshine or Kokoro (for speed)
For image recognition we will still have several options to choose from.
Available Models
We support models up to 144B parameters, including:
Kimi K3
DeepSeek-V4-Flash
GLM-5.2
Qwen
Kimi K2-Thinking
MiniMax M3
Step-3.5-Flash
GPT-OSS-120B
Nemotron 3.5 Lightning
Laguna S 2.1
Llama
Mistral
Gemma
Model Size Guidelines
1B–7B: Experimental
7B–20B: Testable (translation, image scanning)
14B–70B: General use (beginners, single tasks)
70B–140B: Professional level
140B+: Contact us for hardware specs
Why Choose Us?
Unlike typical AI services, we ship a finished product you actually own and control. We handle setup, security hardening, and ongoing optimization — no risk of posting to the wrong account or losing data to third parties.
Current & Coming Features
Now Available (v0.5.2 "Flipping Frog"):
Folder-based model input for custom training data
GGUF quantized model support
Fully uncensored models on request
In Development:
AI memoisation for task-specific optimization
Reward/punishment feedback loops ("Bot Neuron")
Voice recognition (Qwen3-ASR, Whisper V3, IBM Granite Speech, Kokoro)
Expanded image recognition options
References & Resources
Company page
Real-world AI agent risks
Agent posting to wrong account
AI memoisation discussion
AI reviewer guardrails
Privacy-first local AI
Kokoro voice model
Safety Notice: We offer fully uncensored models. Please use responsibly and monitor all deployments.
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I will write more extensively on this later — it is late, so I must sleep.
Yes, you want this. Yes, this contributes directly to tooling for customer services in the next versioning.
We work closely with you until your automation needs are under control.
All purchases go directly toward more pizzas to feed developers, developer needs, engineering tools to demo on, start-up establishment, and applied AI R&D.
Thank you — Good night.
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