Lately, there’s been a lot of interest in using agents for inference optimization. Agents can run longer experiments, GPU capacity is expensive, and inference providers have a strong incentive to ...

This is Uemasa.It has gotten much cooler lately, and it feels completely like autumn now🍂Since it's the autumn of appetite, my mind has been full of food lately.Well then, in my previous article, I ...

Five open-weight flagships now compete for the same developer budget, and none of them is the obvious pick. Kimi K3, DeepSeek V4.1 Flash, Qwen3.8, GLM-5.3 and ...

Autonomous pentesting agent powered by a Meta model — hunts real vulnerabilities inside a code-enforced, deny-by-default scope, and records a finding only when the exploit actually succeeds. - ...

Don't open suspicious emails. Don't reuse passwords. Even so, personal information can still be leaked. Attackers aren't just ...

We spent hundreds of hours testing products for kids and families this year, with the help of dietitians, therapists, and ...

Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...

Every project runs on a normal laptop with no GPU, calling models through a hosted inference provider (Nebius or OpenRouter), configured once at the repo root. Some have other local requirements, see ...

See the 4 AdvaMed data access principles for 2026: who owns device data, how to share it, and what to fix before your next ...

The hidden risk of AI at work is not just getting decisions wrong but it is losing the skills that make an organization uniquely good at getting them right.