Show HN: I trained a 9M speech model to fix my Mandarin tones
A 9M-parameter deep learning model for Mandarin pronunciation training utilizes CTC loss to provide precise feedback on tone and pronunciation, outperforming traditional methods that rely on hand-tuning.
Kimi K2.5 Technical Report
Kimi-K2.5 is a significant project by MoonshotAI, focusing on advanced machine learning techniques, as detailed in their comprehensive tech report.
Code is cheap. Show me the talk
Software development has fundamentally changed with the advent of LLM coding tools, making traditional methods obsolete and allowing for rapid prototyping and high-quality code generation in mere seconds.
Show HN: Amla Sandbox – WASM bash shell sandbox for AI agents
amla-sandbox offers a WASM-based solution for executing LLM-generated code with capability enforcement, eliminating risks associated with arbitrary code execution found in traditional frameworks like LangChain and AutoGen.
Starlink updates privacy policy to allow consumer data to train
Starlink's updated privacy policy now permits the use of customer data for AI training, potentially enhancing Musk's AI initiatives and aligning with a planned IPO that could value SpaceX over $1 trillion.
[P] I solved BipedalWalker-v3 (~310 score) with eigenvalues. The entire policy fits in this post.
The author achieved a ~310 score on the BipedalWalker-v3 environment by utilizing a novel approach with diagonal weight matrices and eigenvalues, simplifying the model to just 69 lines of Python code.
Quack-Cluster: A Serverless Distributed SQL Query Engine with DuckDB and Ray
Quack-Cluster is a serverless distributed SQL query engine that utilizes DuckDB and Ray to execute complex SQL queries directly on data stored in object storage, making it a lightweight alternative to traditional big data systems.
175K+ publicly-exposed Ollama AI instances discovered
Over 175,000 Ollama AI servers are misconfigured, exposing them to LLMjacking attacks, which exploit these instances for malicious activities like generating spam and malware.
Claude Code is your customer
Claude Code signifies a paradigm shift in SAAS development, emphasizing the necessity for API-first products that cater to AI agents, which have become the primary users of software services.
[P] Open-Sourcing the Largest CAPTCHA Behavioral Dataset
Open-sourced dataset features 30,000 verified human sessions, breaking records for scale and providing high-fidelity telemetry crucial for modeling human trajectories in CAPTCHA systems.
Demystifying ARM SME to Optimize General Matrix Multiplications
MpGEMM is an open-source library that optimizes General Matrix Multiplication (GEMM) by leveraging ARM's Scalable Matrix Extension (SME), achieving a notable average speedup of 1.23x over the Apple Accelerate library.
Show HN: Pinecone Explorer – Desktop GUI for the Pinecone vector database
Pinecone Explorer is a native macOS application designed for managing and exploring the Pinecone vector database, featuring advanced capabilities like dense, sparse, and hybrid search along with built-in reranking tools for optimizing query results.
Autonomous cars, drones cheerfully obey prompt injection by road sign
Self-driving cars and drones can be hijacked through custom road signs, as researchers demonstrated that AI systems interpret these signs as commands, leading to dangerous outcomes like ignoring pedestrians or misdirecting drones.
Show HN: Foundry – Turns your repeated workflows into one-click commands
Foundry is a self-writing meta-extension for OpenClaw that autonomously learns from user workflows, researches documentation, and generates new capabilities, effectively becoming an "agent that builds agents."
[D] Training Image Generation Models with RL
Emerging techniques like DDPO and DiffusionNFT are advancing reinforcement learning (RL) fine-tuning for image generation models, suggesting a shift towards training from scratch using only reward signals.