Ask AI
One subscription. Every top AI model
What it does
As a developer, I was tired of switching between ChatGPT and other models for reasoning or creativity—it was inefficient and costly. ASK-AI is the unified interface I always wanted, wrapping GPT-4o, O1, and Gemini into a Smart Routing system for the best answer every time. Ultra Tier unlocks O1-Pro reasoning for coding/STEM. 25+ dynamic themes like Matrix rain, 4K loops, and glassmorphism. Privacy is built-in with secure isolation. I’m Sary, launching today to save power users time and money.
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This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…
- IBI built a simple CLI helper integrating with GPT-32022 · github.com · ▲25
Hi all! I don’t think CHATGPT has gone unnoticed by anyone here on Hackernews. I’ve myself played around a bit with it, but felt it was annoying to always have to log into their GUI to ask the questions. To scratch my own itch and at the same time learn more about how to write my own command line interface, I created 'askai'. 'askai' is a simple CLI integration with OpenAI’s GPT3 models. I’ve primarily used it to get quick answers to technical questions, like: > askai "How to mock user input when writing a Python pytest test?" > askai "How do I remove a conda environment?" As I've found it…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, November 2025
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