Updates and recent posts about kueue..

Posts
Description

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Ansible: pure (only in its) pragmatism

Ansibleslashes through the tangled mess of system admin tasks on Windows and Linux without needing agents, keeping things tidy and consistent. Just don't count on it to break any speed records. ItsYAML-based DSLand an extensive library of plugins give it some flair, but when it comes to full-scale i.. read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Google debuts an updated Gemini 2.5 Pro AI model ahead of I/O

Gemini 2.5 Pro Preview (I/O edition)is here, flexing its muscles in code editing and web app creation. This newcomer muscles its way to the top of theWebDev Arena Leaderboard. As if that wasn't enough, it scores a jaw-dropping84.8%on VideoMME for video analysis. And guess what? The price tag hasn’t .. read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Claude’s AI research mode now runs for up to 45 minutes before delivering reports

Anthropic's Claude just supercharged its Research feature, cranking out reports from hundreds of sources in a blazing 45 minutes.But stay sharp—AI has a knack for inventing phantom sources... read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

AI predicted the next pope. Did it get it right?

A.I. algorithm incorrectly predicted Italian Cardinal Parolin as next pope; new model analyzes voting trends and predicts U.S. Cardinal Prevost as a compromise candidate. Model may improve with inclusion of more political and geographical data, but current analysis offers insights into potential pap.. read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Stop overbuilding evals

Over-engineering smothers momentum. Get it to prod yesterday. Imperfection? Own it. Tweak with real folks in the wild. Feature flags and sanity checks? Priceless. Theory's just noise until reality weighs in... read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Researchers Fine-Tune LLM for Reasoning with Only 1,000 Examples

Meet the"Wait" token trick—a clever nudge that sharpens a model's reasoning. It mirrors OpenAI's o1-preview magic using only 1,000 examples. And guess what? Not a speck of reinforcement learning in sight... read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Most AI spending driven by FOMO, not ROI, CEOs tell IBM

Only25%of AI projects actually deliver returns on investment. Yet,61%of CEOs are ready to double down and scale their AI agents. Surprisingly,64%jumped in headfirst, investing before the payoff even showed its face... read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Alibaba’s ‘ZeroSearch’ lets AI learn to google itself — slashing training costs by 88 percent

Alibaba researchers developed ZeroSearch to train large language models (LLMs) to search for information without using real search engines, reducing costs by up to 88%. ZeroSearch outperformed Google in experiments, demonstrating the potential for AI systems to simulate search and reduce reliance on.. read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

AI use damages professional reputation, study suggests

Duke University reveals a startling twist: AI tools like ChatGPT don't just supercharge work; they also slap users with unfair labels.Lazy. Replaceable. These biases stick to everyone, demographics be damned. Even when productivity soars, fellow workers and bosses often question AI users' competence.. read more

Link

@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

‘AI is already eating its own’: Prompt engineering is quickly going extinct

AI prompt engineering has vanished as a standalone job, absorbed into general AI roles. New AI roles demand deeper technical expertise and are reshaping the job market quickly... read more

Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.