Boston Dynamics shows off another major leap in humanoid mobility

Boston Dynamics' Atlas robot has demonstrated impressive breakdancing moves, showcasing its advanced humanoid mobility capabilities. The robot is able to run, cartwheel, and perform other athletic movements with a smooth and natural motion, highlighting the company's continued leadership in the field of humanoid robotics.

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Show HN: My Attempt to Organize the World of AI Dev Tools

There are various Integrated Development Environments (IDEs) and tools that utilize AI to assist with coding, such as Cursor, Windsurf, and GitHub Copilot, which provide features like code completion, debugging, and generation. Additionally, there are AI-powered coding extensions for IDEs, like Cline, Zencoder, and Tabnine, as well as Command Line Interface (CLI) tools, including aider chat and Kwaak, that offer similar functionality to enhance developer productivity.

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Search LibGen, the Pirated-Books Database That Meta Used to Train AI

Meta used a database called LibGen, which contains millions of pirated books and scientific papers, to train its AI. The Atlantic has created a search tool to allow users to explore the LibGen database, which may reflect the material used to train AI programs, including errors and inaccuracies.

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Cloudflare turns AI against itself with endless maze of irrelevant facts

Cloudflare has introduced a new feature called "AI Labyrinth" that combats unauthorized AI data scraping by serving fake AI-generated content to bots, wasting their computing resources on irrelevant pages. This approach is a shift from the standard block-and-defend strategy, and instead, lures bots into a "maze" of realistic-looking but irrelevant pages, aiming to punish AI companies that ignore "no crawl" directives and collect website data without permission.

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Google's Two-Year Frenzy to Catch Up with OpenAI

Google gave Sissie Hsiao, a 16-year veteran of the company, 100 days to build a ChatGPT rival after OpenAI's public experiment in artificial intelligence gained over a million users and threatened Google's search business. Hsiao's team worked at a rapid pace to develop the new chatbot, codenamed Bard, with the support of top executives and significant resources from across the company, marking a significant shift in Google's approach to AI development and risk-taking.

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Pen and Paper Exercises in Machine Learning (2022)

This collection of exercises covers various machine learning topics, including linear algebra, graphical models, and inference methods. The exercises span a range of subjects, from foundational concepts like optimization and linear algebra to more advanced topics like variational inference and Monte-Carlo integration.

ArXiv

Measuring AI Ability to Complete Long Tasks

Researchers have proposed a new metric, the 50%-task-completion time horizon, to quantify AI capabilities in terms of human capabilities, finding that current AI models can complete tasks with 50% success rate in around 50 minutes, a time frame that has been doubling approximately every seven months. If this trend continues, AI systems may be able to automate many software tasks that currently take humans a month within the next 5 years, driven by improvements in reliability, adaptability, logical reasoning, and tool use capabilities.

ArXiv

Fin-R1: A Large Language Model for Financial Reasoning Through RL

Fin-R1 is a large language model specifically designed for the financial sector, built using a two-stage architecture and trained with supervised fine-tuning and reinforcement learning. It demonstrates strong reasoning and decision-making capabilities, achieving state-of-the-art performance in various financial reasoning tasks, including FinQA and ConvFinQA, despite having a relatively smaller parameter size of 7 billion.

ArXiv

SmolDocling: An ultra-compact VLM for end-to-end multi-modal document conversion

SmolDocling is an ultra-compact vision-language model that can comprehensively process entire pages and convert documents end-to-end, capturing content, structure, and spatial location of elements. The 256M parameter model exhibits robust performance across various document types and competes with larger models, while substantially reducing computational requirements.

ArXiv

Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather

Graph processing is a memory-bound application due to its irregular access patterns, which can be alleviated by approaches like graph tiling or processing-in-memory (PIM), but these methods have limitations, particularly with current memory standards. The proposed Piccolo accelerator addresses these limitations by using fine-grained in-memory random scatter-gather, achieving a maximum speedup of 3.28× and a geometric mean speedup of 1.62× across various benchmarks.

ArXiv

Show HN: BenchFlow – run AI benchmarks as an API

BenchFlow is an open-source benchmark hub and evaluation infrastructure for AI production and benchmark developers, providing a platform for users to interact with benchmarks and for developers to create and share their own benchmarks. To get started, users can install BenchFlow, browse available benchmarks, implement their own agent by extending the BaseAgent interface, and test their agent, while developers can embed the BenchClient into their evaluation scripts and upload their benchmark to the platform.

Repo

Show HN: Bonsai – A Competitive Ternary Weight LLM

Bonsai is a small, 500 million parameter ternary-weight language model that achieves competitive performance among its peers, despite being trained on less than 5 billion tokens. The model can be easily used through the Huggingface Transformers library, but it is recommended to fine-tune it before using it for a specific downstream task, as it has not been instruction-tuned.

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Redfly.ai – easily sync your SQL Server Database to Redis on-demand

Redfly.ai is an open-source system that synchronizes databases with Redis, generating a data access layer that integrates data access code with caching, and is designed to improve performance at scale. The system currently supports SQL Server, Redis, Azure Search, and Azure Cloud, with plans to expand to other relational databases and public clouds, and offers a demo and documentation for developers to test and understand its capabilities.

Repo

Show HN: Jax and Flax LLMs – Transformer Implementations Optimized for TPUs

The awesome-jax-flax-llms repository provides a curated collection of open-source large language model implementations built with JAX and Flax, featuring modular, efficient, and scalable transformer-based models optimized for high-speed TPU/GPU training and efficient inference. The repository includes implementations of various models such as GPT-2 and Llama 3, with plans for future additions, and is intended for educational purposes, allowing users to explore and modify the code to fit their production needs.

Repo

Show HN: I'm building an open-source Low-Code AI/ML Visual Workflow Builder

Otto-m8 is an open-source, low-code platform that allows users to build AI/ML workflows through a flowchart-like UI, enabling them to visually declare how they build AI workflows or agents. The platform is still in its early phase and is designed to be scalable and customizable, with the ability to integrate with various AI frameworks and providers, and community contributions are encouraged to help overcome the limitations of low-code platforms.

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