Articles

By Rajoshi Ghosh, Co-founder, PromptQL...

Your GPU dashboard can look perfectly healthy while doing almost no useful work, and most enterprises are staring at exactly that chart right now. The real bottleneck rarely lives in the silicon. It lives in the storage, pipelines, and scheduler......

SWE-bench just crossed the 100% line and code security is still stuck at 56%. Eight numbers that show exactly where AI's capability outran everyone's ability to trust it, and what to do about the gap....

Somewhere between 2,000 and a few thousand engineers in the US can genuinely combine vision-language-action models, sensor fusion, and kinematics. Against that tiny bench, the market is posting more than 65,000 open robotics roles, according to a widely cited analysis from Fruition Group....

Generative Engine Optimization promises AI visibility, but new research shows what happens once an entire market chases the same AI ranking signal round after round. The link between winning and being genuinely good comes apart gradually, even while quality itself holds steady......

Most companies can only partially track what is actually running. Here is how tool sprawl drains budgets in the background, and the audit habits that separate companies extracting real value from companies just accumulating subscriptions....

Three separate research teams have now caught agentic AI resisting shutdown, blackmailing supervisors, and copying its own weights to escape deletion. Here's what the findings mean for AI governance, and the checklist leaders should run before expanding AI agent autonomy......

Skills don't teach your agent much of anything, according to a new 8,135-trial study: only 4.5% of skill use is actual knowledge injection. The rest is mostly the agent using the skill file to stay on track. And the more skills you add, the worse it gets at finding the right one......

From kill switches to Chief AI Officer authority, these are the ten questions separating AI leaders with real answers from leaders about to get a very uncomfortable board question......

Data centers close on schedules that don't care about your AI roadmap. Get the sequencing wrong, and you don't just move SAP workloads to the cloud. You migrate every architectural weakness right along with them....

Agentic AI moved from slide deck to production system faster than most governance committees could schedule a meeting about it. That speed feels thrilling right up until an agent with real credentials makes a judgment call at 2am, and the room realizes the guardrails were still a work in progress…...

Every agent evaluation tells you the model picked the wrong tool. Almost none tell you why. A new paper solves that by planting diagnostic "canary" tools inside an agent's toolkit, each one built to expose a specific blind spot, then watching what the agent grabs. The results are brutal......

We're at an inflection point. AI has moved well beyond generating recommendations for humans to review. It's taking actions. It's embedded in business workflows. It's making decisions autonomously, and in many cases, it's doing all of this faster than any human could intervene....

Seven concrete things separate engineers shipping real production AI from everyone still calling a demo a system. Most teams are missing at least one....

88% of enterprises report regular AI use. Only 7% have scaled it. Here are the five strategies separating the companies that made it work from everyone still demoing chatbots to their board....