Cortex — Veille numérique

3. Enable cross-enterprise interaction

This is where interoperability becomes more than a technical architecture issue. With identity, permissions and shared protocols in place, agents can begin to coordinate across organizational boundaries by connecting with partners, suppliers and external platforms to execute workflows that no single system controls end to end. Procurement offers an early signal of what this could look like. MIT’s Center for Transportation & Logistics has described how AI is reshaping supplier negotiations, movin

27 juil.

Why you can’t really “destroy” nutrition, anyway

88% of us don't get enough fruits and veggies in the first place.

27 juil.

If you’re really worried about your flavon-3-ols, there’s a better solution than giving up bananas

OK, but what if you really were looking forward to getting lots of good antioxidants in that fruit smoothie? After all, flavon-3-ols like (-)-epicatechin are so good for us that the Academy of Nutrition and Dietetics (AND) issued a guideline for them, even though flavon-3-ols are a non-essential nutrient. The guideline tells us that there are heath benefits to be gained by consuming at least 400 milligrams of flavon-3-ols per day. If you want to get more flavon-3-ols, the best thing you can do i

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Spread the risk

While simultaneously using multiple vendors for critical applications such as CRMs and ERPs isn’t viable, pulling in different AI models to optimize for cost and efficiency is. Model gateways such as OpenRouter, LiteLLM, and Portkey can route between the applications an enterprise runs, and are becoming key components in AI infrastructure plumbing. In the year to April 2026, OpenRouter disclosed a rise from 5 trillion to 20 trillion tokens per week its products coordinated. AI orchestrators comp

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Own the core

For all the fears of over-investment, AI is spreading across enterprises at a pace with no precedent in modern software history.

27 juil.

Intelligence Artificielle

Trois fois plus de signataires ce week-end, avec OpenAI, Google, AMD

i want the US to win in AI both in open source and proprietary models, and i am glad to see this

27 juil.

Why status monitoring misses this

Many PeopleSoft environments use a mix of Process Monitor review, alerts, custom SQL, scripts, enterprise schedulers and manual checks. These approaches remain valuable, but they are often reviewed as separate signals. The opportunity is to interpret scheduler behavior as a lifecycle: timing, queue state, recurrence, runtime health, escalation and recovery context working together. Within PeopleSoft specifically, what is often missing is a consistent lifecycle interpretation layer above those to

27 juil.

Étape 2 : Choisir un modèle qui tient dans votre RAM

C'est là que la plupart des gens se plantent, en chargeant un modèle trop gros et en concluant que "ça rame". Sur Mac, la RAM est unifiée, donc le modèle mange directement dans la mémoire que se partagent le CPU et le GPU. Les paliers recommandés par le projet : RAMModèle conseillé8 à 23 Go`qwen3.5-4b-4bit`24 à 47 Go`gpt-oss-20b-mxfp4-q8`48 à 95 Go`qwen3.6-35b-8bit`96 Go et plus`gpt-oss-120b-mxfp4-q8` Le catalogue complet se liste avec la commande rapid-mlx models, et rapid-mlx info vous

27 juil.

1. Pick a tool, any tool

This article provides details about the replacement for the Copilot extension for GitHub CLI.

27 juil.

Key takeaways: Mastering multi-region Linkerd deployments

Using multi-cluster federated services

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2. Turn on YOLO mode

Control which tools Copilot CLI can use to avoid unintended changes.

27 juil.

Why security needs a new Cyber Stack — Introducing Project Perception

Project Perception erweckt agentische Sicherheit mit KI-Agents, Workflows mit mehreren Agents und agentischer Abwehr zum Leben. Mehr Möglichkeiten mit Microsoft Security.

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3. Start with a prototype

AI that builds with you

27 juil.

Intelligence Artificielle

A Cyber Stack built for agentic security

Delivering agentic security requires more than adding agents to existing workflows. It requires a new Cyber Stack, designed from the ground up. The stack begins with signals and sensors that provide awareness across the digital estate. Security context transforms those signals into token-efficient understanding that agents can use. Models provide intelligence and reasoning. A harness coordinates models and agents across security workflows. Agents apply that intelligence across security workflows

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4. Plan methodically

A relentless interview to sharpen a plan or design.

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5. Implement with Autopilot

The CLI's autopilot mode lets Copilot CLI work autonomously on a task, carrying out multiple steps until the task is complete.

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6. Human review and iteration

Browse every component in the Postrboard CSS framework with live interactive examples.

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The future of security

Schützen Sie Ihre Daten vor Cyberangriffen mit Cloud-Datensicherheitslösungen. Sichern Sie Ihre Infrastruktur, Apps und Daten mit Microsoft Security-Lösungen.

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7. Rubber duck the result

The rubber duck agent is a built-in critic that gives Copilot a constructive second opinion on its own plans, code, and tests—using a different AI model from the one driving your session.

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Productivité

Start exploring the Copilot app

The GitHub Copilot app is the only desktop experience for agent-driven development built natively on GitHub for macOS, Windows, and Linux.

27 juil.

Cortex — actualités tech et cybersécurité

lundi 27 juillet

3. Enable cross-enterprise interaction

Why you can’t really “destroy” nutrition, anyway

If you’re really worried about your flavon-3-ols, there’s a better solution than giving up bananas

Spread the risk

Own the core

Trois fois plus de signataires ce week-end, avec OpenAI, Google, AMD

Why status monitoring misses this

Étape 2 : Choisir un modèle qui tient dans votre RAM

1. Pick a tool, any tool

Key takeaways: Mastering multi-region Linkerd deployments

2. Turn on YOLO mode

Why security needs a new Cyber Stack — Introducing Project Perception

3. Start with a prototype

A Cyber Stack built for agentic security

4. Plan methodically

5. Implement with Autopilot

6. Human review and iteration

The future of security

7. Rubber duck the result

Start exploring the Copilot app