Investment, safety and next-generation AI models suggest the conversation is shifting from robot demonstrations to real-world deployment.

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Brian Merchant launches a podcast for his newsletter 'Blood in the Machine', with the first episode focusing on AI industry's massive spending to influence elections. Guest Molly White discusses her project 'Tech Influence Watch' tracking political money from AI and crypto companies.

A comprehensive guide to fine-tuning open language models locally on a Mac with Apple Silicon using MLX, covering setup, dataset preparation, LoRA training, quantization, testing, and deployment—all without cloud GPUs or costs.

This post guides you through building a server for real-time PDF text extraction from Amazon S3 using the Model Context Protocol (MCP). It compares this interactive approach with Amazon Textract, detailing architecture, implementation steps, cost analysis, and security considerations.

This guide walks through building an AI Telegram bot using Quickchat AI Agent and Telegram Bot API to manage groups. It covers six AI actions for reading group info and performing admin-only moderation tasks, with a server-side permission gate preventing non-admins from triggering destructive actions.

Cara is an AI-native solution on AWS that automates back-office processes for insurance brokerages, saving agents ~10 hours per week. It uses Amazon EKS and Amazon Bedrock for scalable, secure, domain-specific AI workflows.

Stripe processes $1.4 trillion in annual payment volume across 50 countries. Using a ReAct agent framework on Amazon Bedrock, they reduced review handling time by 26% while maintaining human oversight. This article covers the technical architecture, infrastructure decisions, and lessons learned, including task decomposition, orchestration patterns, and cost optimization via prompt caching.

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This paper presents evidence from OpenAI's Codex on the transition to agentic AI systems.

After a year working in AI security and governance, the author finds themselves more cautious about data leakage and more focused on control over convenience. They now prioritize local or self-hosted AI tools and question benchmarks and job replacement claims.

It’s been two weeks since Anthropic took its Mythos-class models offline after a Friday evening ultimatum from the Trump administration. The company sprang into action immediately, sending a barrage of executives to Washington, DC. But updates have been suspiciously lacking, with no resolution in sight.

History Lens is an AI-powered app that instantly identifies historical artifacts, monuments, and museum objects by scanning with your camera. It offers audio guides in 13 languages, personal digital collection, and in-app purchases. Developed by eray kasap, it requires iOS 13.0 or later.

OpenAI delays full release of GPT 5.6, offering limited preview to partners after US government request, mirroring Anthropic's Mythos launch strategy.

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A system daemon narrates the evolution of machine identities and access management—from cron jobs on early Unix to the sprawling credentials of modern microservices—highlighting a systemic failure to retire unused digital agents.

This article explains the seven-layer production AI agent stack, from foundation models to deployment infrastructure. It covers each layer's function, code examples, and technology choices for prototyping, startup, and enterprise scenarios.

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This article covers five concrete agentic workflows, one for each major stage of a data science pipeline, from automated EDA to feature engineering, with code patterns and real-world scenarios.

Here's what that shift to AI means for the recruitment process, and how you can ensure your application gets picked from the pack.

AI tools can quickly generate polished interfaces that mask missing product decisions, leading to security and operational risks. The article emphasizes the need for human judgment and rigorous engineering review in AI-assisted development.

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

SAP aligns fragmented commerce data structures to enable operational AI personalisation at the execution layer. The Advanced Success Plan targets data, decisioning, and delivery layers, using tools like SAP Commerce Cloud and Engagement Cloud to overcome data silos, integration complexities, and skill gaps, transforming personalisation from concept to a measurable growth engine.

Jargo is an early-stage Go port of Pipecat, providing a real-time voice agent framework with WebRTC audio I/O, streaming STT→LLM→TTS pipeline, turn-taking, and barge-in. It aims to offer a self-hosted, binary-deployable alternative to Python-based solutions.

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Amazon is planning a massive AI investment in India, joining other tech giants in targeting the fast-growing Indian AI market.