Trending

How Your Brain Creates 'Aha' Moments and Why They Stick

The evolution of rationality: How chimps process conflicting evidence

Your Land, My Land (Offrange) – Lithium vs. Lettuce in the Imperial Valley, CA

Show HN: Spam classifier in Go using Naive Bayes

Open Catalyst Project

Weighting an Average to Minimize Variance

Messing with Scraper Bots

Feature Extraction with KNN

So, you want to design your own language?

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

You can now train LLMs 3x faster with 30% less memory! (<3.9GB VRAM)

I build agents for marketing agencies, and the hardest part isn’t the tech

Pete Hegseth Says the Pentagon's New Chatbot Will Make America 'More Lethal'. The Department of War aims to put Google Gemini 'directly into the hands of every American warrior.'

SAT Solver Question: Reusing Pre-Computed Solutions for Different Hash Targets?

Google AI gave false tsunami information after Aomori quake

80% of Al agent projects get abandoned within 6 months

From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion

[R] Formatting Iclr submission for ArXiv

Is vibe coding actually insecure? New CMU paper benchmarks vulnerabilities in agent-generated code

StepFun

Save item

GELab-Zero-4B-preview

ByteDance

Save item

BindWeave

Microsoft

Save item

NextCoder-32B

Task: text-generation

MIT HAN Lab

Save item

nunchaku-flux.1-kontext-dev

Black Forest Labs

Save item

FLUX.1-Kontext-dev-onnx

Google

Save item

videoprism

Task: video-classification

SUFE-AIFLM-Lab

Save item

Fin-R1

activepieces

Save item

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

mindsdb

Save item

mindsdb

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

sympy

Save item

sympy

A computer algebra system written in pure Python

NVIDIA

Save item

cuda-python

CUDA Python: Performance meets Productivity

weaviate

Save item

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​.

n8n-io

Save item

n8n

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

huggingface

Save item

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.

steven2358

Save item

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

IntelRealSense

Save item

librealsense

Intel® RealSense™ SDK