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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 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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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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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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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
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Pooling Connections with RDS Proxy at Klaviyo

Klaviyo replaced ProxySQL on EC2 and moved toAWS RDS Proxy. Why? Less overhead. Simpler failovers. Smarter pooling. RDS Proxy handlesmultiplexing, packing thousands of client queries into way fewer DB connections. IAM access and built-in failover routing sweeten the deal... read more  

Pooling Connections with RDS Proxy at Klaviyo
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Subverting code integrity checks to locally backdoor Signal, 1Password, Slack, and more

A fresh CVE (2025-55305) just put Electron apps in the hot seat. The bug? Chromium-based apps fail to treatV8 heap snapshot filesas potential attack vectors. That crack lets unsigned JavaScript slip past code signing and run inside heavyweight targets like Slack, 1Password, and Signal. The heart of.. read more  

Subverting code integrity checks to locally backdoor Signal, 1Password, Slack, and more
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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
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Easy will always trump simple

Rich Hickey’s classic “Simple Made Easy” talk is making the rounds again—as a mirror held up to dev culture under pressure. The punchline: we keep picking solutions that areeasy but tangled, instead ofsimple and sane. The essay draws a sharp line between that habit and a concept from biology: exapt.. read more  

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Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems

Logical clocks trackevent orderin distributed systems—no need for synced wall clocks. Each node keeps a counter. On every event: tick it. On every message: tack on your counter. When you receive one? Merge and bump. This flips the script. Instead of chasing global time, distributed systems lean int.. read more  

Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems
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.