OpenWiki Brains turns sources like Gmail, Notion, Git, X, Hacker News, and web search into a local wiki that agents can use as fresh, proactive memory.

aeovim is a Rust TUI that multiplexes LLM coding agents with a Neovim-like interface, currently wrapping Claude Code and offering features like multi-chat sessions, streaming, and persistence.

This week, Christina Stathopoulos covers AI hardware breakthroughs (IBM sub-1nm chips, OpenAI/Broadcom Jalapeño, NVIDIA liquid cooling), expanding government oversight (Anthropic model access restored, OpenAI equity stake proposal), workforce evolution (forward-deployed engineers, SAP external hiring vs IKEA retraining), and a hopeful story about AI-powered earthquake alerts.

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog.

This article critiques current AI tools that focus solely on task completion (DO) while ignoring the potential to help users understand their own work patterns and improve themselves (BE). The author shares insights from 16 days of self-tracking, revealing patterns like a predictable crash after two hours of deep work and a prime focus window from 11:00 to 12:30. He introduces a stack (Dayflow, Gemini Flash Lite, Clawdbot, self.md) that aims to provide behavioral insight and prediction rather than just task execution.

A video interview with AI pioneer Jürgen Schmidhuber discussing the current state of artificial intelligence, including progress, challenges, and future directions.

OpenAI is discontinuing its AI-powered browser Atlas, launched in October, but will integrate its agentic browsing features into ChatGPT's desktop app and Chrome extension. The shutdown follows a directive to reduce side projects.

Tensorlake rebuilt sandbox ingress, moving from L7 reverse proxy to L4 byte forwarding using kernel TLS (kTLS) and splice(2) for zero-copy data paths, achieving 2.2x throughput and halving CPU cost. The new architecture decouples the data plane from the control plane, uses kTLS for in-kernel crypto, and derives adaptive timeouts from byte flow. Performance tests show single-connection throughput increases from 1.12 GB/s to 2.50 GB/s, with proxy CPU per GB dropping from 0.90 to 0.49 CPU-seconds.

This post explores the unique Nemotron 3 architecture, available fine-tuning techniques (SFT, RLVR, RLAIF), and provides a step-by-step guide to getting started with serverless customization using SageMaker Studio.

Henry Schein One developed Image Verify, an AI-powered system on Amazon SageMaker AI that evaluates dental X-ray quality in real time, reducing insurance claim denials. The system scaled from concept to over 10,000 locations in months, processing millions of X-rays with sub-2-second latency.

In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without ETL. The post discusses how the semantic layer complements RAG, and the three layers an agent needs: model, meaning, and runtime.

This post shows how to combine case management with agentic automation capabilities in Quick Automate. We introduce case lifecycle, creation, management, exception handling, human-in-the-loop, and the case creator-processor pattern, with a real-world use case.

Learn four deployment patterns for deploying Unsloth-quantized models on AWS: using EC2 for direct access, SageMaker AI for managed serving, and EKS/ECS for containerized inference. Understand Unsloth's dynamic quantization, model formats (GGUF, safetensors), and operational best practices.

KTern.AI evolved from a traditional SaaS platform into a next-generation agentic AI platform by orchestrating multiple specialized agents across long-running enterprise programs. Built on Amazon Bedrock AgentCore with the Strands Agents SDK, the system delivers persistent context, secure tool access, and production-grade reliability. Results include 45% faster SAP project timelines, 60-70% reduction in discovery time, and 90% autonomous identification of operational exceptions.

This post demonstrates how to implement disaggregated prefill and decode (DPD) with vLLM on Amazon SageMaker HyperPod using the HyperPod Inference Operator. DPD separates prefill and decode phases onto distinct GPU pools, eliminating interference from long prompts and improving latency. It covers architecture, use cases, and step-by-step deployment instructions.

Hookami is an AI advisor that combines creator context with real platform signals to help YouTube creators decide what content to film next, offering actionable insights without generic advice.

The release shows the power the U.S. government now holds in the AI model landscape. ChatGPT Work highlights how OpenAI continues to evolve into an enterprise vendor.

Wram.chat offers a real-time multiplayer AI courtroom experience where users can challenge friends and argue cases before an AI judge.

After years spent racing to secure AI chips and computing power, enterprise leaders are discovering that getting access to infrastructure may be easier than using it effectively.

You don't need a PhD to understand fine-tuning. This article explains how pretrained models learn new skills through fine-tuning.

As AI coding tools accelerate implementation, the bottleneck in software development shifts upstream to product specification. This article explores the 'spec ceiling' phenomenon and presents a toolchain for extracting executable specs from stakeholder conversations.

This article compares two leading AI models for web design—Opus 4.8 and GPT-5.6 Sol—based on the author's extensive experience. It emphasizes the importance of visual references over text prompts, details each model's strengths and weaknesses, and provides a practical workflow to achieve high-quality designs.

Though Instagram head Adam Mosseri doesn't want to filter out AI content on the platform, he argues that you shouldn't have it in your feed if you don't like it. He believes in labeling AI content rather than banning it, while acknowledging the challenges of detection.

Despite being aware that AI-generated content is fake, older adults find emotional comfort and companionship in it. A study found that Chinese users aged 50-75 watch AI family member videos because they offer direct affection and filial piety lacking in real life.

A solar and home energy storage company is expanding into AI data centers, but not by building one — instead, it's offering to pay its customers to put its compute units in their homes. Sunrun is launching a pilot program for a new "distributed AI compute" program that will place numerous compute nodes in homes equipped with Sunrun solar and battery storage systems. Customers will be compensated for participating. Sunrun plans to sell the distributed compute power to enterprise buyers like AI companies. This approach addresses growing opposition to traditional data centers.

AI's ushered in a new era of reskilling. Here's what the industry can learn from the last decade's drive to put people in tech jobs.

Hister is a personal search engine that indexes web pages and files you care about via a browser extension and CLI tool. With MCP support, it allows AI assistants to search your private index for context-aware answers based on what you've already read. This article explains Hister's workings, practical workflows (like finding vaguely remembered articles, explaining code with indexed docs, generating research briefs), privacy controls, and how to get started.

The article critiques the "rights for robots" movement, arguing that it implicitly endorses the notion of AI as slaves. The author contends that the real appeal of AI is the fantasy of a world without people, only compliant "slaves." By hiding human workers behind the curtain, this narrative strengthens bosses' desire for absolute control. The piece contrasts the positive spillovers of extending rights to nature with the catastrophic effects of corporate personhood, warning that robot rights may lead to similar exploitation.

Because large language models are trained primarily on written text, lacking exposure to natural spoken conversation, their widespread use may lead humans to adopt AI's linguistic patterns, affecting communication styles, thinking habits, and potentially exacerbating cognitive biases and overconfidence.

The article discusses the problem of AI companies aggressively scraping websites causing downtime, and introduces Anubis, a Proof-of-Work solution to make mass scraping more expensive, as a temporary measure until better headless browser fingerprinting is developed.