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Phoenix.new – The Remote AI Runtime for Phoenix

Show HN: Claude Code Usage Monitor – real-time tracker to dodge usage cut-offs

Show HN: TrendFi – I built AI trading signals that self-optimize

Is There a Half-Life for the Success Rates of AI Agents?

I counted all of the yurts in Mongolia using machine learning

Building Effective AI Agents

Making 2.5 Flash and 2.5 Pro GA, and introducing Gemini 2.5 Flash-Lite

Coding agents have crossed a chasm

Dance Captcha

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

Lyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies. By Eran Stiller

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

Magika 1.0: Smarter, Faster File Detection with Rust and AI

Google has just released version 1.0 of Magika, a substantial rewrite of its open-source file type detection system. The new version leverages AI to support a broader range of file types and is built in Rust for maximum speed and security. By Sergio De Simone

Learnings from Cultivating Machine Learning Engineers as a Team Manager

As an AI team manager, Vivek Gupta stays broadly informed to guide AI experts effectively and drive the team. Engineers need feedback on both technical and interpersonal skills, Gupta mentioned at Dev Summit Boston. He stresses learning time, asking for help, and cross-team collaboration. Mentorship, data handling, and human-in-the-loop validation are key to success for machine learning engineers. By Ben Linders

Five AI Security Myths Debunked at InfoQ Dev Summit Munich

Katharine Jarmul challenged five common AI security and privacy myths in her InfoQ Dev Summit Munich 2025 keynote: that guardrails will protect us, better model performance improves security, risk taxonomies solve problems, one-time red teaming suffices, and the next model version will fix current issues. She said that current approaches to AI safety rely too heavily on technical solutions. By Karsten Silz

Presentation: Securing AI Assistants: Strategies and Practices for Protecting Data

Andra Lezza explains the criticality of data security for AI copilots, detailing the OWASP AI Exchange threat model and the OWASP Top 10 LLM risks. She reviews two copilot architectures - independent (single domain) and integrated (multi-tenant) - listing specific threats, controls, and best practices like granular authorization, templates, and DevSecOps to secure the entire AI data supply chain. By Andra Lezza

Grok chatbot faces scrutiny after sharing false claims about Bondi Beach shooting

[P] Cyreal - Yet Another Jax Dataloader

Computational Creativity – Call for Papers for ICCC'26

[D] What does interpretability look like?

ZLUDA for CUDA on non-NVIDIA GPUs enables AMD ROCm 7 support

I swear AI keeps scaring me. They basically did the whole thing like an analyst.

Grok is spreading misinformation about the Bondi Beach shooting / xAI’s chatbot has repeatedly misidentified video of the incident and the hero who disarmed a gunman

To Mistral and other lab employees: please test with community tools BEFORE releasing models

From Autocomplete to Autonomous: How ACP Is Powering AI Coding Agents in Modern IDEs

StepFun

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GELab-Zero-4B-preview

ByteDance

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BindWeave

Microsoft

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NextCoder-32B

Task: text-generation

MIT HAN Lab

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nunchaku-flux.1-kontext-dev

Black Forest Labs

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FLUX.1-Kontext-dev-onnx

Google

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videoprism

Task: video-classification

SUFE-AIFLM-Lab

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Fin-R1

n8n-io

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n8n

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

feast-dev

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feast

The Open Source Feature Store for AI/ML

mindsdb

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mindsdb

Federated query engine for AI - The only MCP Server you'll ever need

DLR-RM

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

activepieces

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activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

huggingface

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transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

deepspeedai

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

sympy

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sympy

A computer algebra system written in pure Python

NVIDIA

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cuda-python

CUDA Python: Performance meets Productivity