KweliAI
Detect AI-generated images & videos from social media.
What it does
AI-generated content is spreading across social media faster than anyone can fact-check it manually. KweliAI fixes this. Paste any public post from X, Reddit, TikTok, YouTube, Instagram or Facebook — and KweliAI instantly tells you whether the image or video is real or AI-generated. No downloads. No technical knowledge needed. Just paste a link and get a clarity score in 3 seconds. ✅ 3 deep learning models running in parallel ✅ Supports 6 platforms ✅ Free to start — 5 scans/day on X & Reddit
Does the same job
all alternatives →
- CYCan you tell if an image is AI-generated?2022 · aiquiz.ronsor.com · ▲93
- FOFake or real? Try our AI image detector2024 · trial.nuanced.dev · ▲22
Hey HN! We're Ayman and Dylan, co-founders of Nuanced (https://www.nuanced.dev/). We want to share a tool we’re working on to detect fake and real images: https://trial.nuanced.dev/demo/. The UI is bare-bones but you’ll get the idea. Drag or upload an image and our tool will display the probabilities with which it thinks that the image might be AI-generated or not. If you want, you can click “No, it’s AI” to confirm that the image was AI-generated, or “No, it’s real” to confirm that the image was not AI-generated. Why we’re working on this: as AI-generated…
- CYCan you detect AI-generated videos?2024 · agiornot.com · ▲7
More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com