Google Developer Expert Andriy Lukyanyuk tested Google Antigravity 2.0 with Gemini 3.1 Pro by entering a Kaggle Playground Series competition. The agentic IDE built a pipeline with LightGBM, CatBoost,…
Google released a white paper comparing 'Vibe Coding' and 'Agentic Engineering' approaches to the software development lifecycle, sparking discussion on Hacker News.…
Google released Gemma 2, an open model family with 9B and 27B parameter sizes, featuring architectural changes like hybrid attention and Grouped-Query Attention for improved inference efficiency. The …
A developer built PA-Trace, an on-device agentic workflow using Google's MedGemma model to automate prior-authorization documentation for imaging orders. The system extracts evidence from clinic notes…
A developer created Echo, an AI system with persistent memory that retains and recalls user interactions over time. Built as a Kaggle project, Echo uses a pipeline to store meaningful interactions, re…
A researcher used Anthropic's Claude Code agent to implement puzzle solvers for two Kaggle competitions, IHES Picture Cube and Megaminx, reformulating them as Cayley graph searches. The agent wrote tr…
A developer built a Bangladesh Rickshaw Traffic Dataset for Physical AI, Computer Vision, Robotics, and Autonomous Driving research. The dataset captures complex urban traffic scenes with rickshaws, m…
A data engineer outlines a practical roadmap for breaking into the field in 2026, emphasizing SQL fluency, Python scripting, cloud cost optimization, and data modeling over outdated tools like Hadoop.…
Jackrong released an open-source knowledge base for LLM fine-tuning, dataset distillation, reinforcement learning, and local deployment. The guide provides reproducible training pipelines, SFT and RL …
The ARC Prize 2026 awarded its first $37,500 ARC-AGI-3 milestone prize on June 30th to Tufa Labs for 'The Duck,' a small open-source LLM that solves interactive reasoning tasks by writing and running …
A software developer and machine learning engineer completed a Bachelor's Degree in Computer Science from the University of London via Coursera after 3 years and 9 months of part-time study while work…
A developer built a hybrid GNN and decision-tree architecture for predicting XLA compiler runtime, achieving high speed and low memory footprint. The solution outperforms standard deep GNNs by shiftin…
Researchers introduced HASTE, a hierarchical multi-agent system that organizes cross-competition knowledge into three scope tiers to improve transfer efficiency in ML engineering. In tests on the MLE-…
MIT-affiliated researchers Charles Ye, Jasmine Cui, and Dylan Hadfield-Menell demonstrated that attackers can trick frontier large language models into providing dangerous instructions, such as cocain…
Anthropic's study of 400,000 Claude Code sessions shows debugging dropped by half while task value rose 25%, signaling expertise shifting from coding to system design. New tools like 'dropped' detect …
XGBoost, an optimized gradient boosting library, has become a dominant tool in machine learning competitions like Kaggle due to its speed, memory efficiency, and parallel processing. Developed by the …
A developer found that improving the rubric for a small LLM judge (Qwen2.5-1.5B) did not increase its agreement with human votes, which remained around 43%. However, swapping to a larger model (DeepSe…
A developer built an LLM-as-a-judge from scratch using Qwen2.5-1.5B-Instruct and tested it against the LMSYS Chatbot Arena dataset with human votes. The judge scored answers independently and agreed w…
Claude Opus 4.8 successfully translated 31 of 33 pandas scripts to idiomatic Polars code in one-shot tests, enabling faster data pipelines on cheaper hardware. The translations ran correctly and outpu…
Hexo Labs released Socrates, an open-source multi-agent protocol that pairs a tool-using research agent with a question-only advisor, improving MLE-bench Kaggle competition scores by an average of 55.…