Will ChatGPT Make Tech Blogs Obsolete?

This post originally appeared in a slightly different form in the Packet Pushers’ Human Infrastructure newsletter. You can subscribe and see all back issues here. Daniel Miessler says AI-powered chatbots will be the end of tech tutorial blogs. And at first glance, his argument seems sound. Prior to the rise of chatbots and digital assistants, […]

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Heavy Networking 674: IPv6 Essentials For Network Engineers – Think Abundance, Not Scarcity

On today’s Heavy Networking we get into IPv6 essentials for network engineers, including how to incorporate IPv6 support in upcoming projects, how IPv6 affects NAT and subnetting, what the heck Happy Eyeballs and nibble boundaries are, and why you should approach IPv6 with a mindset of abundance not scarcity.

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Consuming Content the Way You Want

One of the true hidden gems of being a part of a big community is the ability to discuss ideas and see different perspectives. It’s one of the reasons why I enjoy working at Tech Field Day and why I’m lamenting the death spiral of Twitter. My move to Mastodon is picking up steam and I’m slowly replicating the way that I consume content and interact there but it’s very much the same way I felt about Twitter thirteen years ago. There’s promise but it needs work.

As I thought about my journey with social media and discussed it with people in the community I realized that a large part of what has me so frustrated is the way in which my experience has been co-opted into a kind of performative mess. Social media is becoming less about idea exchange and more about broadcast.

Give and Take

When I first started out on Twitter I could post things that were interesting to me. I could craft the way I posted those short updates. Did I want to be factual and dry? Or should I be more humorous and snarky? I crafted my own voice as I shared with others. My Continue reading

On the ‘net: The CCIE Shuffle Podcast

The Cisco Certified Design Expert (CCDE) exam was launched in 2007, but not many people know what the main objectives of the certification were at the time. Who better to enlighten us on some of the thought process and reasons behind the exam being created than one of the original development team? In this podcast, we are extremely humbled to be joined by networking industry legend, Russ White who spoke about his career, how he got into networking and some insights on the CCDE concept and how it came to fruition in the early 2000s!

Hedge 174: Javier Antich and Cloud AI

ChatGPT has broken through the hype barrier and brought AI hype to the larger world. But what does AI mean to network engineers? We’ve talked about AI driven network management for years, and commercial products abound, but what does it really mean to move from the automation driven configuration to AI driven decision-making? Javier Antich joins Tom Ammon and Russ White for this episode of the Hedge to talk about cloud AI for network engineers.

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You can learn more about cloud AI in Javier’s new book.

White paper: Addressing the MITRE ATT&CK framework for containers using Calico

Be it chess, poker, or everyday driving, you must predict your opponent’s (or other drivers’) movement to win (or keep yourself safe!). Container security is the same, and many organizations look to the MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) framework to understand an attacker’s mindset and how to prevent attacks. The MITRE ATT&CK framework released a matrix for containers, giving organizations that use Kubernetes and containers a chance to analyze an attacker’s M.O. and assess the organization’s attack vectors.

To help organizations stay ahead of attackers, Tigera recently released a white paper based on the MITRE ATT&CK containers matrix. Drawing from Tigera’s experience as a cybersecurity provider, the white paper offers an in-depth analysis of the containers matrix. It also details how Tigera’s active security platform, Calico Cloud, a fully-managed SaaS, and its self-managed counterpart, Calico Enterprise, can detect and mitigate every tactic outlined in the matrix.

White paper highlights

Tigera’s white paper dives deep into the MITRE framework for containers to help organizations understand the risks they face and how they can mitigate these vulnerabilities using Calico. Here’s what you will learn from the white paper and the questions it’ll answer:

Nvidia touts MLPerf 3.0 tests; Enfabrica details network chip for AI

AI and machine learning systems are working with data sets in the billions of entries, which means speeds and feeds are more important than ever. Two new announcements reinforce that point with a goal to speed data movement for AI.For starters, Nvidia just published new performance numbers for its H100 compute Hopper GPU in MLPerf 3.0, a prominent benchmark for deep learning workloads. Naturally, Hopper surpassed its predecessor, the A100 Ampere product, in time-to-train measurements, and it’s also seeing improved performance thanks to software optimizations.MLPerf runs thousands of models and workloads designed to simulate real world use. These workloads include image classification (ResNet 50 v1.5), natural language processing (BERT Large), speech recognition (RNN-T), medical imaging (3D U-Net), object detection (RetinaNet), and recommendation (DLRM).To read this article in full, please click here

Nvidia touts MLPerf 3.0 tests; Enfabrica details network chip for AI

AI and machine learning systems are working with data sets in the billions of entries, which means speeds and feeds are more important than ever. Two new announcements reinforce that point with a goal to speed data movement for AI.For starters, Nvidia just published new performance numbers for its H100 compute Hopper GPU in MLPerf 3.0, a prominent benchmark for deep learning workloads. Naturally, Hopper surpassed its predecessor, the A100 Ampere product, in time-to-train measurements, and it’s also seeing improved performance thanks to software optimizations.MLPerf runs thousands of models and workloads designed to simulate real world use. These workloads include image classification (ResNet 50 v1.5), natural language processing (BERT Large), speech recognition (RNN-T), medical imaging (3D U-Net), object detection (RetinaNet), and recommendation (DLRM).To read this article in full, please click here