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Has AI exceeded human levels of intelligence? The answer is more complicated than you might think

AGI aims for true, independent consciousness and comprehension beyond imitation. Experts predict arrival by 2059, but Ray Kurzweil thinks it's closer by 2029... read more  

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Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy

xGen-small flips the script.It slashes model size yet juggles 256K tokens like a caffeinated ninja. So much for the old bigger-faster-better mantra. By mixing precise data curation, scalable pre-training, and ironclad privacy, this Salesforce gem rolls out enterprise-ready AI that’s as budget-friend.. read more  

Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy
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Getting Started with Semantic Kernel

Semantic Kernelis a developer's best friend, an open-source dynamo for crafting AI apps withlarge language models (LLMs). It cuts through complexity like a hot knife through butter... read more  

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Exploring Google’s Agent Development Kit (ADK)

Google's Agent Development Kit(ADK) cranks up agent creation with LLMs. It dishes out unique agent types, slick orchestration patterns, and a debugging process that's anything but flimsy. Thanks toADK's open-source framework, you can engineer intricate systems that thrive on transparency and auditab.. read more  

Exploring Google’s Agent Development Kit (ADK)
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Identifying Hidden Cloud Waste in Your Code

Vadim Soloveyblows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focus—ditch those endless cloud tweaks for something deeper:code-level fixes. Enter execution profiling and .. read more  

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AI in Incident Management: Balancing Automation & Expertise

AI-driven incident management holds great promise, but what happens when AI fails? Engineers risk losing critical system understanding as AI takes over routine tasks, highlighting the need for human oversight and collaboration in this AI-enhanced future... read more  

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Tales from the cloud trenches: The Attacker doth persist too much, methinks

Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin events—.. read more  

Tales from the cloud trenches: The Attacker doth persist too much, methinks
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How we optimized LLM use for cost, quality, and safety to facilitate writing postmortems

Postmortem Optimization:Slashing LLM costs while preserving quality and safety. Who said AI can’t spruce up even the most mind-numbing tasks?.. read more  

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9 Months Later, Microsoft Finally Fixes Linux Dual-Booting Bug

Microsoftjust dropped the KB5058385 patch and—hallelujah—it solves the nine-month Secure Boot nightmare. But hold your cheers, Linux dual-booters. You're still stuck in no-man's land... read more  

9 Months Later, Microsoft Finally Fixes Linux Dual-Booting Bug
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From manual fixes to automatic upgrades — building the Codemod Platform at Lyft

Lyft's Codemod Platformturns chaos into calm. It converts disruptive updates into a few quick fixes, slashing manual review time for over 100 frontend microservices. Adoption rates rocketed by up to30% in two weeks. They wieldjscodeshiftlike a wizard's wand—transforming multiple languages and integr.. read more  

From manual fixes to automatic upgrades — building the Codemod Platform at Lyft
Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.

Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.