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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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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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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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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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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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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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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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24 Best Command Line Performance Monitoring Tools for Linux

A fresh look at Linux monitoring tools shows the classics still hold—but the visual crowd’s moving in. Old-school command-liners liketopandvmstatremain go-to’s for quick reads. But picks likeNetdata,btop, andMonitbring dashboards, colors, and actual UX. Tools likeiftop,Nmon, andSuricatastretch deep.. read more  

24 Best Command Line Performance Monitoring Tools for Linux
BAO, c’est les chasseurs Tech et Produit qui apportent de la transparence au recrutement. Depuis Paris et Bordeaux, ils ont fait du monde startup leur terrain de jeu en décidant de ne travailler que sur très peu de postes à la fois. Pourquoi ? Parce qu’on voit la chasse comme un sprint dans lequel on travaille main dans la main avec nos clients : nous donnons un maximum de visibilité et de conseil à nos startups partenaires.

En créant BAO, en 2019, Baptiste et Lucas ont décidé de mettre l’écoute au cƓur de leur travail. Curiosité, sourire et empathie sont le seul trait commun à toute l’équipe !

Le bouche-à-oreille est au centre de leur manière de chasser : chaque recruteur entretient son réseau, conscient que la proximité amène à de belles rencontres.
Travailler chez BAO c’est avoir la volonté de rencontrer des personnes aux parcours passionnants et de tisser des liens avec eux. Mais c’est aussi gagner en autonomie tout en profitant d’une équipe dans laquelle les membres s’encouragent mutuellement.

C'est de la vente sans avoir à être agressif, des évolutions rapides au sein d’un écosystème passionnant et un environnement de travail ambitieux sans se prendre trop au sérieux.