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Mupt AI: Revolutionizing GitHub with Advanced AI Tools
Mupt AI: Revolutionizing GitHub with Advanced AI Tools Mupt AI is at the forefront of integrating advanced artificial intelligence into GitHub, offering an arra…
Struct AI: Revolutionizing Data Structures with GitHub
StructAI: Transforming Data Structures with GitHub StructAI is a cutting edge data structure library designed to simplify and enhance data management tasks. Lev…
AI Tool: GitHub's Rajatarya for Enhanced AI Development
AI Tool: GitHub's Rajatarya for Enhanced AI Development In the rapidly evolving landscape of artificial intelligence (AI), developers continually seek robust to…
AI-Powered macOS Markdown Viewer Built by Coding Agents
Exploring AI Powered MacOS Markdown Viewers Crafted by Professional Older Coders In the ever evolving landscape of software development, AI powered tools are re…
Javalamp: Glowing Terminal Screensaver for Mac
Experience the Radiance of Code with Javalamp: The Stylish Terminal Screensaver for Mac Introduction Javalamp is an innovative terminal screensaver designed spe…
GPUBook.io: Revolutionizing AI Tools with GPU Power
GPUBook.io: Transforming AI Tools with GPU Technology In the rapidly evolving world of artificial intelligence (AI), computational power is paramount. GPUBook.i…
AI-Powered Pose Estimation with SetPose.com
AI Powered Pose Estimation with SetPose.com SetPose.com offers cutting edge AI powered pose estimation solutions designed for users across diverse fields. This …
Auto-identity-remove: Automate Data Broker Opt-Outs on macOS
Auto identity remove: Streamline Data Broker Opt Outs on macOS Introduction Auto identity remove is a pioneering solution designed to automate the process of op…
Lakonik/AsymFLUX.2-klein-9B: Revolutionizing AI on Hugging Face
Lakonik/AsymFLUX.2 klein 9B: Transforming AI on Hugging Face The AI community is buzzing with the introduction of Lakonik/AsymFLUX.2 klein 9B, a groundbreaking …
Lance: ByteDance's New AI Tool on Hugging Face
Lance: ByteDance's New AI Tool on Hugging Face In the ever evolving landscape of artificial intelligence (AI), ByteDance, the parent company of TickTock and Tik…
AI Tool for Code Generation: GitHub's Kouhxp
AI Tool for Code Generation: Harnessing GitHub's Kouhxp GitHub's Kouhxp stands out as a revolutionary AI tool, empowering developers to generate code efficientl…
Thinking Machines' Cheap-IM: AI Demo on a CPU Laptop
Exploring Thinking Machines' Cheap IM: AI on a CPU Laptop Thinking Machines has introduced Cheap IM, an innovative AI demo that showcases the impressive capabil…
Discover xalgorithm.xyz: Innovative AI Tool on Hacker News
Unveiling xalgorithm.xyz: The Cutting Edge AI Tool Taking Hacker News by Storm In the dynamic realm of Hacker News, xalgorithm.xyz has gained significant tracti…
Raybeam: Enhanced Screen Sharing for macOS
Raybeam: Revolutionary Screen Sharing for macOS Raybeam is transforming the way users share their screens on macOS. Previously only available on Windows, Raybea…
Browser-Based AI Synthesizer, Drum Machine, and Sequencer
Browser Based AI Synthesizer, Drum Machine, and Sequencer Browser based AI tools for music production are revolutionizing the way artists create and enhance the…
Neural Net Learns to Play Snake: Watch the AI Progress
Neural Net Learns to Play Snake: Witness the AI Progression The world of artificial intelligence (AI) is continually expanding, with new applications and advanc…
FrontiersMind Nandi-Mini-600M Early Checkpoint: AI Tool on Hugging Fac
Exploring FrontiersMind Nandi Mini 600M Early Checkpoint on Hugging Face FrontiersMind Nandi Mini 600M Early Checkpoint, available on Hugging Face, marks a sign…
Dagraph.com: Revolutionizing AI Tools on Hacker News
Dagraph.com: Transforming AI Tools on Hacker News In the rapidly evolving realm of AI, Dagraph.com stands out as a pioneering platform, garnering significant at…
AI Tool: GitHub's New AI-Powered Code Assistant
Harnessing Innovation: Exploring GitHub's Latest AI Powered Code Assistant GitHub has launched a groundbreaking new tool in the realm of code assistance, design…
Drew Baglino Launches Heat Pump Startup Sadi Thermal Machines
Sadi Thermal Machines is Drew Baglino's second startup since leaving Tesla in 2024.
Adaption's AutoScientist: AI Tool for Rapid Model Training
Adaption's new AutoScientist tool is designed to let models adapt to specific capabilities quickly through an automated approach to conventional fine-tuning.
AI Tank Training: $100 in Claude Tokens, 1k Battles
AI Tank Training: $100 in Claude Tokens, 1k Battles In the realm of AI training, simulated environments offer a cost effective and flexible approach to enhance …
3D Reconstruction AI Tool: ArthurBrussee/brush on GitHub
3D Reconstruction for all
Profine: Optimize PyTorch Training Loops on Real GPUs
Profine: Efficient PyTorch Training Loops on Real GPUs In the fast evolving landscape of machine learning, optimizing training loops in PyTorch is crucial for e…
Statewright: Visual State Machines for Reliable AI Agents
Visual State Machines for Reliable AI Agents: A Statewright Review Introduction to Statewright Statewright is a revolutionary tool that enables the creation of …
Remind: Schedule Claude Code on Your Mac
Automate Tasks with Remind: Schedule Claude Code on Your Mac Automate Your Workflow With Remind, you can efficiently schedule and automate tasks using Claude Co…
AI Tool Tack.pics Simplifies Image Management with AI
AI Tool Tack.pics: Revolutionizing Image Management with Advanced Technologies Introduction In the modern landscape, managing images efficiently is crucial for …
Modafinil: Keep AI Agents Running on Closed MacBooks
Optimizing AI Agents with Modafinil Modafinil has emerged as a game changing agent for keeping Artificial Intelligence (AI) systems operational, even on locked …
AI Tools: Countries Where You Can Safely Leave Your MacBook
AI Tools: Countries Where You Can Safely Leave Your MacBook When traveling or working remotely, security is a paramount concern for laptop owners, especially wh…
Anima AI Tool: Revolutionizing Text Generation on Hugging Face
Anima AI Tool: Transforming Text Generation on Hugging Face The landscape of text generation is rapidly evolving, and one of the cutting edge tools leading this…
Gemma-4-31B: Hugging Face's New AI Tool with DFlash Integration
Discovering Hugging Face's Latest Innovation: Gemma 4 31B with DFlash Integration Hugging Face has unveiled a ground breaking tool in the realm of artificial in…
SulphurAI/Sulphur-2-Base: New AI Tool on Hugging Face
Discover SulphurAI's Sulphur 2 Base: A New AI Tool on Hugging Face Introduction SulphurAI has introduced Sulphur 2 Base, a novel AI tool available on Hugging Fa…
Pranjolm AI Tool: New Innovations on GitHub
Pranjolm AI Tool: Groundbreaking Innovations on GitHub Pranjolm, an open source AI tool recently launched on GitHub, introduces revolutionary features. Designed…
Glacier: Zero-Config macOS Terminal in Rust
Glacier: Zero Config macOS Terminal in Rust Glacier is a cutting edge, zero configuration terminal replacement designed specifically for macOS. Built using the …
MLJAR Superwise: AI Tool for Data Labeling and Annotation
MLJAR Superwise: Revolutionizing Data Labeling and Annotation MLJAR Superwise is a cutting edge AI tool designed to streamline the processes of data labeling an…
Mljar Studio: Local AI Data Analyst Saving Notebooks
Mljar Studio: Empowering Local AI Data Analysis Mljar Studio is a cutting edge, open source tool tailored for local AI and machine learning (ML) data analytics.…
Loopsy: Connecting Terminals and AI Agents Across Machines
Loopsy: Bridging Terminals and AI Agents Across Machines In the digital age, efficient data exchange and seamless communication between devices are paramount. L…
Apple Faces AI-Driven Mac Supply Shortages
Apple said it will be supply-constrained on Mac mini, Studio, and Neo in the next quarter, too.
AI-Powered Anime Generation with SeeSee21/Z-Anime on Hugging Face
AI Powered Anime Generation with SeeSee21/Z Anime on Hugging Face Artificial intelligence continues to redefine the creative landscape, and one notable innovati…
AI Tool: GitHub's New AI-Powered Code Assistant
AI Tool: GitHub's New AI Powered Code Assistant GitHub has recently equipped developers with a revolutionary AI powered code assistant, which can produce, debug…
AI Tool: GitHub's ad-si for Enhanced Coding Assistance
GitHub's ad si: Revolutionary Coding Assistance In the rapidly evolving tech landscape, GitHub's ad si emerges as a powerful AI tool designed to significantly e…
Trading System V2: AI's Role in Deterministic Execution
Thanks to the incredible feedback on my last post, I’m officially moving away from the "distributed veto" system (where 8 LLM agents argue until they agree to trade). For v2, I am implementing a strict State Machine using a deterministic runtime (llm-nano-vm). The new rule is simple: Python owns the math and the execution contract. The LLM only interprets the context. I've sketched out a 5-module architecture, but before I start coding the new Python feature extractors, I want to sanity-check the exact roles I’m giving to the AI. Here is the blueprint: 1. The HTF Agent (Higher Timeframe - D1/H4) Python: Extracts structural levels, BOS/CHoCH, and premium/discount zones. LLM Role: Reads this hard data to determine the institutional narrative and select the most relevant Draw on Liquidity (DOL). 2. The Structure Agent (H1) Python: Identifies all valid Order Blocks (OB) and Fair Value Gaps (FVG) with displacement. LLM Role: Selects the highest-probability Point of Interest (POI) based on the HTF Agent's narrative. 3. The Trigger Agent (M15/M5) 100% Python (NO LLM): Purely deterministic. It checks for liquidity sweeps and LTF CHoCH inside the selected POI. 4. The Context Agent LLM Role: Cross-references active killzones, news blackouts, and currency correlations to either greenlight or veto the setup. 5. The Risk Agent 100% Python (NO LLM): Calculates Entry, SL, TP, Expected Value (EV), and position sizing. The state machine will only transition to EXECUTING if the deterministic Trigger and Risk modules say yes. The LLMs are basically just "context providers" for the state machine. My questions for the quants/architects here: Does this division of labor make sense? Am I giving the LLMs too much or too little responsibility in step 1 and 2? By making the Trigger layer (M15/M5) 100% deterministic, am I losing the core advantage of having an AI, or is this the standard way to avoid execution paralysis? Would you merge the HTF and Structure agents to reduce token constraints/hallucinations, or is separating them better for debugging? Would love to hear your thoughts before I dive into the codebase.
Manoj Mallick's AI Tool on GitHub: A New Hacker News Feature
Manoj Mallick's AI Tool on GitHub: A Revolution in Hacker News Manoj Mallick, a prolific developer, has introduced a groundbreaking AI tool on GitHub, making wa…
AI Tool: Few-Shot Learning with GitHub's Few-Sh
AI Tool: Few Shot Learning with GitHub's Few Shot Learning Library Few Shot learning is a transformative approach within the artificial intelligence (AI) domain…
Arc Gate: Advanced Prompt Injection Protection for OpenAI
Built Arc Gate — sits in front of any OpenAI-compatible endpoint and blocks prompt injection before it reaches your model. Try it here — no signup, no code, no setup: https://web-production-6e47f.up.railway.app/try Type any prompt and see if it gets blocked or passes. The examples on the page show the difference. The main detection layer is a behavioral SVM on sentence-transformer embeddings — catches semantic intent, not just pattern matches. Phrase matching is just the fast first pass. Four layers total. Benchmarked on 40 OOD prompts (indirect, roleplay, hypothetical framings — the hard stuff): • Arc Gate: Recall 0.90, F1 0.947 • OpenAI Moderation: Recall 0.75, F1 0.86 • LlamaGuard 3 8B: Recall 0.55, F1 0.71 Zero false positives on benign prompts including security discussions and safe roleplay. Block latency 329ms. One URL change to integrate into your own project: base\_url=“https://web-production-6e47f.up.railway.app/v1” GitHub: github.com/9hannahnine-jpg/arc-gate — star if useful.
AI Calorie Tracker with Apple Health Integration: Dynamic Macro Adjust
Hey everyone, I’m currently in the final stretch of developing my AI calorie tracker (the one that breaks down photos into individual ingredients). One thing I’m obsessed with getting right before the beta launch in 2 weeks is the **Apple Health integration.** Most apps just show you a static number. I want mine to be dynamic. If you go for a 500kcal run, the app should know and adjust your macro targets for the next meal. My question to the fitness-tech crowd: Do you prefer apps that strictly stick to your base metabolic rate (BMR), or do you want the 'earned' calories from your Apple Watch to be automatically added to your budget? I’ve seen strong opinions on both sides. I'm also fine-tuning the macro-overflow logic (e.g., saving surplus calories for the weekend). Would love to hear some thoughts from people who actually track daily.
AI Tool Lets You Run macOS Apps in Background Without Cursor Interfere
AI Tool Revolutionizes Background App Management on macOS A cutting edge AI tool is now available, enabling users to seamlessly run macOS applications in the ba…
SenseNova-U1-8B-MoT: New AI Tool on Hugging Face
Discovering SenseNova U1 8B MoT: A New AI Tool on Hugging Face SenseNova's latest release, SenseNova U1 8B MoT, is making waves on Hugging Face, opening up a wo…
Curflow: AI Gesture Control for Mac
Draw a gesture for your Mac to execute
Open Bias: AI Bias Detection Tool on GitHub
Open Bias: AI Bias Detection Tool on GitHub Introduction AI has revolutionized numerous sectors with automated decisions cloaked in algorithms, but it's not imm…