AI-based Copilot for your Investments
Hey there, fellow builders and makers! It has been busy in the machine room for that last 12 months. I have received many requests in the past to share my private finance AI-toolset with a wider audience. Hence, I'm super excited to share PinkLion, an AI-based Copilot for your investments. The tool was created to help investors make better & more rational investment decisions using the power of machine learning. https://pinklion.xyz/ The problem Investing in the stock and crypto market can be a daunting task, with countless factors to consider and a vast amount of information…
What it does
In the maker’s words, at launch
Hey there, fellow builders and makers! It has been busy in the machine room for that last 12 months. I have received many requests in the past to share my private finance AI-toolset with a wider audience. Hence, I'm super excited to share PinkLion, an AI-based Copilot for your investments. The tool was created to help investors make better & more rational investment decisions using the power of machine learning. https://pinklion.xyz/ The problem Investing in the stock and crypto market can be a daunting task, with countless factors to consider and a vast amount of information to keep track of. It's no wonder that many investors struggle to make informed decisions and keep emotions out of the process. The solution - PinkLion's AI collects, harmonizes, and aggregates scattered market data and performs reasoning on the collected information. - Simulate investment scenarios and validate investment hypotheses based on the collected insights - Compare your own portfolio and investments with the created scenarios, providing an actionable way to identify weaknesses and improvements - Have access to future stock, ETF, and crypto outlooks, derived from collected market sentiments, analysts, and financial institute assumptions I'm happy to receive feedback on whether the now accessible version is useful to you guys
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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…
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Hi HN, Today we’re launching GPT-4 answers on Phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. Unlike vanilla GPT-4, Phind feeds in relevant websites and technical documentation, reducing the model’s hallucination and keeping it up-to-date. To use it, simply enable the “Expert” toggle before doing a search. GPT-4 is making a night-and-day difference in terms of answer quality. For a question like “How can I RLHF a LLaMa model”, Phind in Expert mode delivers a…
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