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GitHub folds into Microsoft following CEO resignation — once independent programming site now part of 'CoreAI' team

GitHub just lost its autonomy. Microsoft is folding it into theCoreAIdivision, where it’ll now march in step with Redmond’s broader AI play. CEO Thomas Dohmke is out. No replacement named. Bigger picture:Why now? Copilot hit general availability, and GitHub’s becoming less a platform, more a provin.. read more  

GitHub folds into Microsoft following CEO resignation — once independent programming site now part of 'CoreAI' team
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The decline of high-tech manufacturing in the United States

High-tech manufacturing used to employ 2.8% of U.S. workers back in 1990. Now it’s down to 1.3%. The sharpest losses hitcomputers, electronics, and aerospace—industries that once defined the future. Onlypharma and med devicesmanaged to buck the trend, adding 189,000 jobs while the rest bled over a .. read more  

The decline of high-tech manufacturing in the United States
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Node.js v22.18.0 (LTS) is out

Node.js just got spicier. You can now runTypeScript files out of the box—no transpile step, no weird configs. It’s experimental, and only supports a trimmed-down syntax, but still: big move. Elsewhere, it’s tacklingburst fs eventswith AsyncIterator support, tightening upCJS/ESM cycle resolution, an.. read more  

Node.js v22.18.0 (LTS) is out
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LLM Evaluation: Practical Tips at Booking.com

A new LLM evaluation framework taps into an"LLM-as-judge"setup—think strong model playing human annotator. It gets prompted (or fine-tuned) to mimic human scores and rate outputs from other LLMs. It runs on a tightly labeledgolden dataset, handles both pointwise and head-to-head comparisons, and sh.. read more  

LLM Evaluation: Practical Tips at Booking.com
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No, AI is not Making Engineers 10x as Productive

Claims of 10–100x dev speed from AI tools skip the hard parts—code reviews, bug queues, flaky tests. In practice, AI helps with the small stuff: one-off scripts, throwaway glue code, basic scaffolds. But scaling that help across big, messy codebases? Still a pipe dream. Too much context lost. Too ma.. read more  

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Google releases AI agent Jules for programming

Google’s AI agentJulesjust leveled up—out of beta and into full-on dev mode. It now handlesasynchronous tasks, pushesreal-time code updates, and can spin up pull requests with deeperGitHub integration. Under the hood: it runs on the beefierGemini 2.5 Promodel. AddsEnvironment Snapshotsfor state cap.. read more  

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Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch

Anthropic just yanked OpenAI’s API access to Claude. Reason? Alleged violations of terms that forbid using Claude to train rival models—like GPT-5. Windsurf, an OpenAI acquisition target, got the boot earlier too. Spot the pattern: tighten access, box out competitors. System shift:APIs aren’t just .. read more  

Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch
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Who does your assistant serve?

OpenAI’s release of GPT-5 backfired: instead of excitement, users felt betrayed by a forced upgrade that stripped away the warmth and reliability they had come to rely on in GPT-4o. Many treated the model as more than a tool — a companion, therapist, or emotional support — so when its personality sh.. read more  

Who does your assistant serve?
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Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio

Gradio just leveled up. It now auto-converts plain Python functions intoMCP-compliant LLM tools, grabbing input schemas and metadata straight from docstrings. New tricks:real-time progress streaming,auto file uploads, plus tight integration withVS Code’s AI Chatfor wiring up agent workflows... read more  

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MCP Registry with Azure API Center

Azure just droppedMCP Center, showing off howAzure API Centercan double as a private registry forModel-Centric Protocol (MCP) servers. It’s built for internal use—think secure discovery, tight OAuth 2 auth, centralized control, and AI Gateway rules baked in. Handy when teams need to corral AI tools.. read more  

MCP Registry with Azure API Center
AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.