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OpenAI eats jobs, then offers to help you find a new one

OpenAI just fired a shot across LinkedIn’s bow. Its new jobs platform—part ofOpenAI Academy—aims to certify AI skills, then plug users directly into hiring pipelines. Walmart's already on board. Market signal:OpenAI’s not just training people anymore. It's moving in on talent placement, pulling the .. read more  

OpenAI eats jobs, then offers to help you find a new one
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Writing effective tools for AI agents—using AI agents

Anthropic’s sharpening the blueprint for building tools that play nice withLLM agents. TheirModel Context Protocol (MCP)leans hard into three pillars: test in loops, design for humans, format like context matters—because it does. They co-develop tools with agents like Claude Code. That means protot.. read more  

Writing effective tools for AI agents—using AI agents
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OpenAI announces new mentorship program for budding tech founders

OpenAI introduced a new program called "OpenAI Grove" for early tech entrepreneurs to build with AI. The program is aimed at individuals in the pre-idea to pre-seed stage and offers mentoring, access to tools and models, and in-person workshops. Grove's first cohort will run from Oct. 20 to Nov. 21,.. read more  

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OpenAI reorganizes research team behind ChatGPT's personality

OpenAI just folded itsModel Behavior team—the crew behind AI personality design and anti-sycophant training—into thePost Training group. Behavior tuning now lives inside the same house as model refinement. Joanne Jang, who led Model Behavior, now runsOAI Labs, a fresh research unit digging intopost.. read more  

OpenAI reorganizes research team behind ChatGPT's personality
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Building Etsy Buyer Profiles with LLMs

Every day, nearly 90M buyers look for unique items out of over 100 million listings on the Etsy. The platform uses large language models to create detailed buyer profiles anonymously capturing their interests. Adjustments in data retrieval and processing have reduced the time and cost of generating .. read more  

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AI Models Need a Virtual Machine

Microsoft and academic researchers want to give AI models a new kind of home: theAI Model Virtual Machine (MVM). Think of it like theJVM, but for LLMs—an interface layer that standardizes how models plug into host software. The MVM enforcessecurity,isolation, andtool-calling rules, while also unloc.. read more  

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Cursor looks into selling your data for AI training

Anysphere—the team behind Cursor, the AI coding sidekick—is looking to license user behavior data to the big model labs: OpenAI, Anthropic, and the usual suspects. Why? Training costs are brutal, and this could ease the burn. Strategic Implication:Selling real developer telemetry to model competito.. read more  

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Zero-Click Remote Code Execution: Exploiting MCP & Agentic IDEs

A zero-click exploit is making the rounds—nasty stuff targeting agentic IDEs likeCursor. The trick? Slip a malicious Google Doc into the system. If MCP integration and allow-listedPython executionare on, the document gets auto-pulled, parsed, and runs code. No clicks. No prompts. Justremote code exe.. read more  

Zero-Click Remote Code Execution: Exploiting MCP & Agentic IDEs
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In a first, Google has released data on how much energy an AI prompt uses

Google dropped detailed stats on energy, water, and carbon use per query for its Gemini models. Median energy:0.24 Wh, with TPUs eating58%of that. They’re claiming a33× efficiency boostin the last year—credit goes to model and software tuning. System shift:A public hyperscaler posting this means th.. read more  

In a first, Google has released data on how much energy an AI prompt uses
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Paused Kubernetes project finds path forward

TheExternal Secrets Operator (ESO)is moving again. After hitting pause from maintainer burnout, it’s back under CNCF incubation—with a rebooted structure in place. New governance, clear contributor paths, and support tracks for CI, core dev, and testing are all in. But don’t expect fresh releases ju.. read more  

Paused Kubernetes project finds path forward
Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response