Author: Carter

Posted on May 20, 2026 by Leonardo Grasso, Falco Maintainer CNCF projects highlighted in this post AI-powered coding assistants have become a genuine part of how developers work today. Tools like Claude Code operate right inside your terminal — reading files, executing shell commands, making network requests, and writing code, all on your behalf. They’re quick, powerful, and increasingly relied upon for real work on real machines.But that trust raises an important question: what is your coding agent actually doing on your system?On May 12th, the Falco team unveiled Prempti, a new experimental addition to the Falco ecosystem. Falco —…

Every UHF RFID tag on the planet holds a small piece of internal state that rarely gets any attention. It lacks a battery, has a minimal processor, and contains just enough silicon to store an EPC number. Yet hidden within its memory are four single-bit indicators known as session flags, and grasping how they function is what separates a system that smoothly reads 500 tags from one that struggles with just 50. If you have ever seen a reader count the same tag repeatedly, or questioned why two readers aimed at the same group of tags seem to clash with…

Rovex has launched its inaugural hospital transport system pilot in Florida. Source: Rovex Last month, I attended eMerge Americas, hosted by Melissa Medina in Miami. The event highlighted South Florida’s rapidly growing innovation ecosystem, featuring startups presenting cutting-edge technology in healthcare, defense, AI, and hardware. The speaker lineup was equally remarkable, including well-known CEOs, military generals, prominent influencers, and even the president’s son. It’s clear that the center of innovation is gradually moving away from the Northern coasts toward the (tax-free) Sun Belt. While exploring the exhibition floor, I searched for robotics companies in the eMerge “alligator alley.” Among the…

Real-time speech translation is one of the toughest challenges in applied AI. The model must begin translating before the speaker has even finished their sentence. Any added delay shatters the sense of seamless, live communication. Alibaba’s Qwen team has been steadily improving with each new release. Their newest model, Qwen3.5-LiveTranslate-Flash, cuts that latency to just 2.8 seconds and broadens language support to 60 input languages. A Meaningful Jump From the Previous Release The earlier Qwen3-LiveTranslate-Flash supported 18 input languages with roughly three seconds of delay. Qwen3.5-LiveTranslate-Flash trims that to 2.8 seconds, widens input coverage to 60 languages, and introduces speech…

In brief HYPE has climbed 91% since the start of the year, while Bitcoin has dropped 12%, a divergence linked to Hyperliquid’s expanding revenue streams beyond crypto perpetuals. Hyperliquid generated $255 million in revenue so far this year, outpacing its two closest competitors combined, with 97% flowing back to HYPE holders through token buybacks. Bitwise and 21Shares have submitted applications for HYPE ETFs, with Bitwise pledging to keep 10% of management fees in Hyperliquid on its balance sheet. Hyperliquid’s native token HYPE has soared 101% this year, while Bitcoin has fallen 12% over the same timeframe, underscoring a growing split…

Have you ever been caught off guard by an unexpected question, comment, or remark in a social, academic, or business setting? Chances are, you have—and you probably wished you had more time to craft a thoughtful, appropriate, or clever reply. Instead of having the chance to plan your response, you were forced to react on the spot. Unsurprisingly, the outcome is rarely ideal. Looking at this from a broader perspective, there’s a valuable security lesson to be learned. Security teams are far more effective at protecting their organizations when they can act strategically rather than simply reacting to events as…

NVIDIA researchers have released Nemotron-Labs-Diffusion, a language model family that unifies three decoding modes in one architecture. The model supports autoregressive (AR) decoding, diffusion-based parallel decoding, and self-speculation decoding. It is available in 3B, 8B, and 14B parameter sizes. The family includes base, instruct, and vision-language variants. Sequential Decoding Limits Throughput Standard autoregressive (AR) language models generate text one token at a time, left to right. Each token depends on all previous tokens. This sequential dependency limits GPU parallelism per generation step. The result is low hardware utilization at low batch sizes — the typical setting for single-user or edge…

For companies that work with the government, new rules keep appearing—and with them, more responsibilities to stay compliant. Constant updates to the Federal Acquisition Regulation (FAR) mean government contractors must quickly adapt to how federal agencies buy goods and services. The Cybersecurity Maturity Model Certification (CMMC) 2.0 is getting closer to being enforced, bringing stricter cybersecurity rules and added duties. FedRAMP standards are also becoming more demanding. On top of that, recent executive orders have introduced new limits and possible penalties related to diversity, equity, and inclusion (DEI). This major shift in regulations has turned compliance from occasional check-ins into…

Boox Go 10.3 (Gen 2) Lumi pros and cons Pros Excellent writing feelExtensive personalization optionsGoogle Play Store accessRobust note-taking and markup toolsCompatible with many apps Cons Takes time to masterInterface can be tricky, with occasional glitchesStylus doesn’t charge on its own Follow ZDNET: Add us as a preferred source on Google.The latest Boox Go 10.3 Lumi tablet offers a highly adaptable e-reading experience, packed with advanced note-taking capabilities and an attractive price tag of just $449—making it more affordable than many high-end digital paper tablets available today.At this price, the Boox Go 10.3 Gen 2 stands out with its sophisticated…

Here is the paraphrased version of the article: # Introduction Data engineering has grown increasingly complex. Today’s pipelines must be faster, more dependable, and simpler to maintain — all while data volumes and variety continue to expand. Most data engineers rely on familiar tools, but the Python ecosystem now offers a much broader range of options, and some of the most valuable tools remain relatively unknown. In this article, we’ll explore Python libraries grouped into four key areas that consume the most effort in data engineering work: Pipeline orchestration and workflow management for creating reliable, observable data flows Data ingestion…