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Moravec's Paradox and the Robot Olympics

Rob Pike Goes Nuclear over GenAI

Sandbox: Run untrusted AI code safely, fast

Show HN: AutoLISP interpreter in Rust/WASM – a CAD workflow invented 33 yrs ago

Grok and the Naked King: The Ultimate Argument Against AI Alignment

Rob Pike got spammed with an AI slop "act of kindness"

Building an AI agent inside a 7-year-old Rails monolith

ChatGPT conversations still lack timestamps after years of requests

TornadoVM 2.0 Brings Automatic GPU Acceleration and LLM support to Java

The TornadoVM project recently reached version 2.0, a major milestone for the open-source project that aims to provide a heterogeneous hardware runtime for Java. The project automatically accelerates Java programs on multi-core CPUs, GPUs, and FPGAs. This release is likely to be of particular interest to teams developing LLM solutions on the JVM. By Ben Evans

Transformers v5 Introduces a More Modular and Interoperable Core

Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs. By Robert Krzaczyński

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more. By Sergio De Simone

AWS Transform Custom Tackles Technical Debt

AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations. By Steef-Jan Wiggers

Article: Trustworthy Productivity: Securing AI Accelerated Development

Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk. By Sriram Madapusi Vasudevan

Presentation: Powering Enterprise AI Applications with Data and Open Source Software

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale. By Francisco Javier Arceo

AlphaEvolve Enters Google Cloud as an Agentic System for Algorithm Optimization

Google Cloud announced the private preview of AlphaEvolve, a Gemini-powered coding agent designed to discover and optimize algorithms for complex engineering and scientific problems. The system is now available through an early access program on Google Cloud, targeting use cases where traditional brute-force or manual optimization methods struggle due to vast search spaces. By Robert Krzaczyński

Google Unveils New Tools and Libraries for Building AI Glasses Apps

With the release of the Android XR SDK Developer Preview 3, Google has introduced two new libraries to help developers create AI Glasses experiences, Jetpack Projected and Jetpack Compose Glimmer. ARCore for Jetpack XR has also been expanded to work with AI Glasses, adding motion tracking and geospatial capabilities. By Sergio De Simone

Podcast: Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework

Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line. By Will McGugan

Clair Obscur: Expedition 33 director Guillaume Brioche admits Sandfall "tried" AI during the J'RPG's development, but "didn't like it" and "everything in the game is human made"

World's smallest autonomous robots could one day save your life

'Stingraybot' uses microbubble muscles controlled by ultrasound

US military adds Elon Musk’s controversial Grok to its ‘AI arsenal’

Don't Become the Machine

Monster performance at half the cost

Canvas Agent for Gemini - Organized image generation interface

As AI gets smarter, are we getting dumber?

US and China must get serious about AI risk | It would be irresponsible for Washington and Beijing to race ahead without engaging each other on the dangers – or the immense opportunities – AI presents

Google

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Tongyi-MAI

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MiniMax-M2.1

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NVIDIA

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NitroGen

Shakker Labs

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Microsoft

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Lightx2v

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Liquid AI

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Tencent

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microsoft

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qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

NVIDIA

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cutlass

CUDA Templates and Python DSLs for High-Performance Linear Algebra

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

google-deepmind

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mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

vwxyzjn

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Project-HAMi

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HAMi

Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)

inngest

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inngest

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

qdrant

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qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

langchain-ai

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langchain

🦜🔗 The platform for reliable agents.