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What missing feature would make a crypto screener perfect for you?(reddit.com)
I was always asked by my cousins and friends to build a screenr based on there statergies and i used to built it using python, but whenever they feel like changing the statergy they used to come back to me asking me to update the code , which was little annoying at times ,So i decided to build a app that they can use and build their statergies for screening by just selecting indicators from the dropdown.I have already built that and published it. Now i am planning to improve it even further so i am am try to add new features to it , so I want to understand what features you fell that if this feature is available in a crypto screener i might use it almost daily. What premium/paid feature on other tools do you wish someone would just make for free?. Please share your thoughts , I will try to build on those ideas and improve my app , also I would like to know do you prefer to use the app on Windows,mac,iphone or android submitted by /u/SituationBoth7745 [link] [Kommentare]
Will chat GPT help me with crypto which coin will make me millions?(reddit.com)
Everyone uses chat gpt for everything it told me a coin made 1500% in returns but a lot of people just didnt know I have over 200k in the bank should i trust chat gpt and put it all on something Im not sure chat gpt seems pretty good how did all of you become millionaires from this did you spend ages researching or use ai to make you millionaires? Its telling me Ethereum Bittensor Render submitted by /u/Prior_Night_985 [link] [Kommentare]
Next-Latent Prediction Transformers [R](reddit.com)
Microsoft Research Preprint Next-token prediction is myopic. What if transformers learn to predict their own next latent state? Microsoft Research present Next-Latent Prediction (NextLat): a self-supervised learning method that teaches transformers to form compact world models for reasoning and planning. It also unlocks up to 3.3x faster inference via self-speculative decoding! On top of next-token prediction, NextLat trains the transformer to predict its own next latent state given the current latent state and next token. NextLat has a few key benefits: Representation Learning: NextLat encourages transformers to compress history into compact belief states. Better Data Efficiency: predicting in latent space provides denser supervision than predicting one-hot tokens. Faster Inference: via recursive multi-step lookahead. I'm super excited about this work. Please do check it out below: 💬 Blog: https://jaydenteoh.github.io/blog/2026/nextlat 💻 Code: https://github.com/JaydenTeoh 📝 Paper: https://arxiv.org/abs/2511.05963 submitted by /u/jayden_teoh_ [link] [Kommentare]
ICRA'27(reddit.com)
Hello Everyone, I am preparing my manuscript for upcoming ICRA'27. But They have page limit of 8 pages, including references. As well, They don't accept any supplementary documents. So my question is how can I show more experiments and ablation studies? Because 8 page is not sufficient. Any tips? Much appreciated!! submitted by /u/selim_sarowar [link] [Kommentare]