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@kala shared a link, 23Ā hours ago
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Reasoning models struggle to control their chains of thought, and that’s good

OpenAI's paper unveilsCoT-Control: an open-source suite of 13,000+ tasks fromGPQA, MMLU-Pro, HLE, BFCLthat measuresCoTcontrollability. Evaluations on 13 models show compliance at 0.1%-15.4%. Compliance is tiny. Controllability improves with model size. It drops as reasoning chains lengthen and after.. read more Ā 

Reasoning models struggle to control their chains of thought, and that’s good
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@kala shared a link, 23Ā hours ago
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The L in "LLM" Stands for Lying

The author arguesLLMschurn out fast, generic answers by remixing low-quality source material. They seed brittle, repetitive code viavibe-coding. The remedy: requiresource attributionand auditable inference to separate originals from forgeries and to reshape model training and deployment. Requiringso.. read more Ā 

The L in "LLM" Stands for Lying
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@kala shared a link, 23Ā hours ago
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AI as tradecraft: How threat actors operationalize AI

Microsoft observes threat actors operationalizeAIandLLMsacross the cyberattack lifecycle. They accelerate reconnaissance, phishing, malware development, and post‑compromise triage. Actors abusejailbreakingtechniques andGANs. They craft personas, generate look‑alike domains, embed runtime‑adaptive pa.. read more Ā 

AI as tradecraft: How threat actors operationalize AI
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@kala shared a link, 23Ā hours ago
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The reason big tech is giving away AI agent frameworks

A catalog of majoragent frameworks: LangGraph, CrewAI, Google ADK, AWS Strands, Microsoft Agent Framework, OpenAI Agents SDK, Mastra, Pydantic AI, Agno. Hyperscalers co-design free SDKs (e.g.,Strands,ADK). They tie those SDKs to metered runtimes -Bedrock,Vertex AI. Revenue shifts to inference and de.. read more Ā 

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@kala shared a link, 23Ā hours ago
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LLMs are getting better at unmasking people online

Researchers at ETH Zurich show LLMs can stitch anonymous bios to public web data and reidentify users across platforms. Fine-tuned models and agent chains parse unstructured text and automate deanonymization in minutes at penny-level inference costs... read more Ā 

LLMs are getting better at unmasking people online
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@devopslinks shared a link, 23Ā hours ago
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Draw.io MCP for Diagram Generation: Why It’s Worth Using

Draw.io MCPlinks theModel Context Protocoltodraw.io. It ingests structured input (text,CSV,Mermaid) and emitsdraw.io XML, PNG/SVG, or hosted links. Draw.io MCPruns as anMCP Tool Server, CLI, or Copilot skill. It drafts small graphs (<50 nodes) in seconds and stores diagrams inGitfor diffs andCI/CDau.. read more Ā 

Draw.io MCP for Diagram Generation: Why It’s Worth Using
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@devopslinks shared a link, 23Ā hours ago
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Amazon is back up after outage affecting tens of thousands of shoppers

Amazon faced an outage, affecting tens of thousands of shoppers globally on Thursday afternoon. Downdetector reported a surge in complaints, peaking at 20,000 by 3:49 p.m. ET. The outage involved checkout and pricing errors caused by a software code deployment... read more Ā 

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@devopslinks shared a link, 23Ā hours ago
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How I Dropped Our Production Database and Now Pay 10% More for AWS

Planned migration shifts the static site fromGitHub PagestoAWS S3. DNS moves toAWS.Djangostages on a subdomain before the main domain swaps. ATerraformauto-approve ran with no remote state. It destroyed productionRDS,VPC,ECS, and automated snapshots.AWSfound a hidden snapshot and recovered the DB in.. read more Ā 

How I Dropped Our Production Database and Now Pay 10% More for AWS
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@devopslinks shared a link, 23Ā hours ago
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Why Serverless Compute Partners Are Now More Important Than Ever

The note saysAIworkloads are bursty. They spawn parallel tool calls, pull multi‑GB model weights into RAM, and endure long cold starts (e.g.,vLLM,SGLang). Companies wrestle with a fragmentedGPUmarket and poor peakGPU utilization. To hit latency, compliance, and cost targets they adoptmulti‑region/mu.. read more Ā 

Why Serverless Compute Partners Are Now More Important Than Ever
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@devopslinks shared a link, 23Ā hours ago
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AWS Cost Optimization Best Practices: A Maturity-Based Guide [2026]

The guide maps a five-stagematurity model— fromVisibilitytoFinOps Culture. It prescribes staged actions before commitment purchases. It recommends turning onCost ExplorerandAWS Budgets, enforcingtag policies, runningCompute Optimizer, testingGraviton, and usingCloudBurn/Amazon Qfor pre-deploy estima.. read more Ā 

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 treĢ€s peu de postes aĢ€ 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 aĢ€ nos startups partenaires.

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

Le bouche-aĢ€-oreille est au centre de leur manieĢ€re de chasser : chaque recruteur entretient son réseau, conscient que la proximité ameĢ€ne aĢ€ 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 aĢ€ eĢ‚tre agressif, des évolutions rapides au sein d’un écosysteĢ€me passionnant et un environnement de travail ambitieux sans se prendre trop au sérieux.