AI Infrastructure

Auto Added by WPeMatico

Meet OpenMythos: An Open-Source PyTorch Reconstruction of Claude Mythos Where 770M Parameters Match a 1.3B Transformer

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Software engineering, Staff, Tech News, Technology

Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A new open-source project called OpenMythos, released on GitHub by Kye Gomez, attempts something ambitious: a first-principles theoretical reconstruction of what the Claude Mythos architecture might actually be, built entirely in PyTorch and grounded in peer-reviewed […]

Meet OpenMythos: An Open-Source PyTorch Reconstruction of Claude Mythos Where 770M Parameters Match a 1.3B Transformer Read More »

A Coding Implementation to Build an AI-Powered File Type Detection and Security Analysis Pipeline with Magika and OpenAI

ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine Learning, Security, Software engineering, Staff, Technology, Tutorials

In this tutorial, we build a workflow that combines Magika’s deep-learning-based file type detection with OpenAI’s language intelligence to create a practical and insightful analysis pipeline. We begin by setting up the required libraries, securely connecting to the OpenAI API, and initializing Magika to classify files directly from raw bytes rather than relying on filenames

A Coding Implementation to Build an AI-Powered File Type Detection and Security Analysis Pipeline with Magika and OpenAI Read More »

A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Generative AI, Language Model, Machine Learning, Staff, Technology, Tutorials

In this tutorial, we explore how to run OpenAI’s open-weight GPT-OSS models in Google Colab with a strong focus on their technical behavior, deployment requirements, and practical inference workflows. We begin by setting up the exact dependencies needed for Transformers-based execution, verifying GPU availability, and loading openai/gpt-oss-20b with the correct configuration using native MXFP4 quantization,

A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows Read More »

Top 19 AI Red Teaming Tools (2026): Secure Your ML Models

agentic ai, ai, AI (Artificial Intelligence), AI Governance, AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Security, Software engineering, Staff, Tech News, Technology, Uncategorized

Table of contentsWhat Is AI Red Teaming?Top 19 AI Red Teaming Tools (2026)Conclusion What Is AI Red Teaming? AI Red Teaming is the process of systematically testing artificial intelligence systems—especially generative AI and machine learning models—against adversarial attacks and security stress scenarios. Red teaming goes beyond classic penetration testing; while penetration testing targets known software

Top 19 AI Red Teaming Tools (2026): Secure Your ML Models Read More »

A Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control

ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, deep learning, Editors Pick, Language Model, Machine Learning, Software engineering, Staff, Technology, Tutorials

In this tutorial, we explore how to build a fully functional background task processing system using Huey directly, without relying on Redis. We configure a SQLite-backed Huey instance, start a real consumer in the notebook, and implement advanced task patterns, including retries, priorities, scheduling, pipelines, locking, and monitoring via signals. As we move step by

A Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control Read More »

Building Transformer-Based NQS for Frustrated Spin Systems with NetKet

ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, deep learning, Editors Pick, Machine Learning, Staff, Technology, Tutorials

The intersection of many-body physics and deep learning has opened a new frontier: Neural Quantum States (NQS). While traditional methods struggle with high-dimensional frustrated systems, the global attention mechanism of Transformers provides a powerful tool for capturing complex quantum correlations. In this tutorial, we implement a research-grade Variational Monte Carlo (VMC) pipeline using NetKet and

Building Transformer-Based NQS for Frustrated Spin Systems with NetKet Read More »

UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Software engineering, Staff, Tech News, Technology

The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more tokens. But as inference deployments consume an ever-growing share of compute and model deployments push toward the edge, researchers are increasingly asking a harder question — can you scale quality

UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size Read More »

How to Build a Universal Long-Term Memory Layer for AI Agents Using Mem0 and OpenAI

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Infrastructure, Applications, Artificial Intelligence, Editors Pick, Machine Learning, Software engineering, Staff, Technology, Tutorials

In this tutorial, we build a universal long-term memory layer for AI agents using Mem0, OpenAI models, and ChromaDB. We design a system that can extract structured memories from natural conversations, store them semantically, retrieve them intelligently, and integrate them directly into personalized agent responses. We move beyond simple chat history and implement persistent, user-scoped

How to Build a Universal Long-Term Memory Layer for AI Agents Using Mem0 and OpenAI Read More »

A Coding Implementation to Build Multi-Agent AI Systems with SmolAgents Using Code Execution, Tool Calling, and Dynamic Orchestration

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Infrastructure, Artificial Intelligence, Editors Pick, Staff, Technology, Tutorials

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools, and collaborate across multiple agents. We start by installing dependencies and configuring a powerful yet efficient LLM backend, and then progressively design custom tools, including mathematical utilities, memory storage,

A Coding Implementation to Build Multi-Agent AI Systems with SmolAgents Using Code Execution, Tool Calling, and Dynamic Orchestration Read More »

Meta Platforms, Inc. (NASDAQ: META) — Independent Equity Research Report

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, DCF valuation, digital advertising, Equity Research, Facebook stock, FCF analysis, Financial Analysis, Mark Zuckerberg, Meta Platforms, META stock, Reality Labs, social media stocks, stock analysis 2026, Technology Stocks

This analysis was produced by an AI financial research system. All data is sourced exclusively from publicly available filings, earnings transcripts, government data, and free financial aggregators — no proprietary data, paid research, or institutional tools are used. Every figure cited can be independently verified by the reader at SEC EDGAR (sec.gov/edgar) and the company’s…

Meta Platforms, Inc. (NASDAQ: META) — Independent Equity Research Report Read More »