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Student Perceptions of AI Coding Assistants in Learning

Generating Cats with learned lookup tables

OCaml maintainers reject massive AI-generated pull request

Show HN: I built Magiclip – an all-in-one AI studio

DMT-induced shifts in criticality correlate with self-dissolution

Effective harnesses for long-running agents

The Signal Is the Noise

Vsora Jotunn-8 5nm European inference chip

Beads – A memory upgrade for your coding agent

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

Podcast: Platform Engineering for AI: Scaling Agents and MCP at LinkedIn

QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil. By Karthik Ramgopal, Prince Valluri

Replit Introduces New AI Integrations for Multi-Model Development

Replit has introduced Replit AI Integrations, a feature that lets users select third-party models directly inside the IDE and automatically generate the code needed to run inference. By Daniel Dominguez

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

The Unsexy SEO Workflow That Shows What Future AI Agents Should Actually Be Doing

I Fed 24 Years of My Blog Posts to a Markov Model

Professors are turning to this old-school method to stop AI use on exams: A growing number of educators are finding that oral exams allow them to test their students’ learning without the benefit of AI platforms such as ChatGPT.

Florida school locked down after AI weapon detector mistakes clarinet for gun

Scientists just uncovered a major limitation in how AI models understand truth and belief

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

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.

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.

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

weaviate

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weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.