Hands-On: NVIDIA Jetson Orin Nano Developer Kit

NVIDIA’s Jetson line of single-board computers are doing something different in a vast sea of relatively similar Linux SBCs. Designed for edge computing applications, such as a robot that needs to perform high-speed computer vision while out in the field, they provide exceptional performance in a board that’s of comparable size and weight to other SBCs on the market. The only difference, as you might expect, is that they tend to cost a lot more: the current top of the line Jetson AGX Orin Developer Kit is $1999 USD

Luckily for hackers and makers like us, NVIDIA realized they needed an affordable gateway into their ecosystem, so they introduced the $99 Jetson Nano in 2019. The product proved so popular that just a year later the company refreshed it with a streamlined carrier board that dropped the cost of the kit down to an incredible $59. Looking to expand on that success even further, today NVIDIA announced a new upmarket entry into the Nano family that lies somewhere in the middle.

While the $499 price tag of the Jetson Orin Nano Developer Kit may be a bit steep for hobbyists, there’s no question that you get a lot for your money. Capable of performing 40 trillion operations per second (TOPS), NVIDIA estimates the Orin Nano is a staggering 80X as powerful as the previous Nano. It’s a level of performance that, admittedly, not every Hackaday reader needs on their workbench. But the allure of a palm-sized supercomputer is very real, and anyone with an interest in experimenting with machine learning would do well to weigh (literally, and figuratively) the Orin Nano against a desktop computer with a comparable NVIDIA graphics card.

We were provided with one of the very first Jetson Orin Nano Developer Kits before their official unveiling during NVIDIA GTC (GPU Technology Conference), and I’ve spent the last few days getting up close and personal with the hardware and software. After coming to terms with the fact that this tiny board is considerably more powerful than the computer I’m currently writing this on, I’m left excited to see what the community can accomplish with the incredible performance offered by this pint-sized system.

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Vinyl Sales Ran Circles Around CDs In 2022

How do you take your music these days? For those in Camp Tangible, it seems our ranks are certainly growing, and in the analog direction. For the first time since 1987, vinyl record sales have outperformed CD sales in the US, according to a new report. The CD, which saved us all from the cassette, was a digital revolution in music. But for some, the love was lost somewhere among the ones and zeroes.

Those who prefer pure analog troughs of sound cut into wax have never given up on vinyl, and the real ones probably gobbled up a bunch of it in the 90s when everybody was CD-crazy. But mind you these aren’t used vinyl sales we’re talking about, which means that enough new vinyl has to have been readily available for purchase for quite some time now. Although it doesn’t really seem like that long, new vinyl’s been back for almost 20 years — and according to the report, 2022 was the 16th consecutive year of growth for record sales.

So Why Vinyl?

Nostalgia ain’t what it used to be, but there was a time in my 1980s childhood when vinyl was all this scribe had to listen to. I have historically been a bit slow to adopt new music formats — I didn’t have a CD player until 1998, and it was given to me for my birthday. I was excited to get the thing, mind you, especially since it had 10 seconds of anti-skip protection (which of course was a huge concern with portable CD players).

But CDs are way different from records. Sure, they’re both round, but the similarities sort of end there. For one thing, the artwork is disappointingly small compared to vinyl. And the whole gatefold album cover thing isn’t really possible with a CD, unless you forego the jewel case and release it in a chintzy little cardboard jacket. But then people will have this one disc that’s four times thinner than the rest and it throws everything off in the collection.

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Another Room-Temperature Superconductivity Claim And Questions Of Scientific Integrity

In early March of 2023, a paper was published in Nature, with the researchers claiming that they had observed superconductivity at room temperature in a conductive alloy, at near-ambient pressure. While normally this would be cause for excitement, what mars this occasion is that this is not the first time that such claims have been made by these same researchers. Last year their previous paper in Nature on the topic was retracted after numerous issues were raised by other researchers regarding their data and the interpretation of this that led them to conclude that they had observed superconductivity.

According to an interview with one of the lead authors at the University of Rochester – Ranga Dias – the retracted paper has since been revised to incorporate the received feedback, with the research team purportedly having invited colleagues to vet their data and experimental setup. Of note, the newly released paper reports improvements over the previous results by requiring even lower pressures.

Depending on one’s perspective, this may either seem incredibly suspicious, or merely a sign that the scientific peer review system is working as it should. For the lay person this does however make it rather hard to answer the simple question of whether room-temperature superconductors are right around the corner. What does this effectively mean?

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The Rise And (Eventual) Fall Of The SIM Card

There are few devices that better exemplify the breakneck pace of modern technical advancement than the mobile phone. In the span of just a decade, we went from flip phones and polyphonic ringtones to full-fledged mobile computers with quad-core processors and gigabytes of memory.

While rapid advancements in computational power are of course nothing new, the evolution of mobile devices is something altogether different. The Razr V3 of 2003 and the Nexus 5 of 2013 are so vastly different that it’s hard to reconcile the fact they were (at least ostensibly) designed to serve the same purpose — with everything from their basic physical layout to the way the user interacts with them having undergone dramatic changes in the intervening years. Even the network technology they use to facilitate voice and data communication are different.

Two phones, a decade apart.

Yet, there’s at least one component they share: the lowly SIM card. In fact, if you don’t mind trimming a bit of unnecessary plastic away, you could pull the SIM out of the Razr and slap it into the Nexus 5 without a problem. It doesn’t matter that the latter phone wasn’t even a twinkling in Google’s eye when the card was made, the nature of the SIM card means compatibility is a given.

Indeed there’s every reason to believe that very same card, now 20 years old, could be installed in any number of phones on the market today. Although, once again, some minor surgery would be required to pare it down to size.

Such is the beauty of the SIM, or Subscriber Identity Module. It allows you to easily transfer your cellular service from one phone to another, with little regard to the age or manufacturer of the device, and generally without even having to inform your carrier of the swap. It’s a simple concept that has served us well for almost as long as cellular telephones have existed, and separates the phone from the phone contract.

So naturally, there’s mounting pressure in the industry to screw it up.

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Hackaday Links: March 19, 2023

We get results! Well, sort of. You may recall that in this space last week we discussed Ford’s plans to exclude AM reception on the infotainment systems of certain of their cars starting in 2024. We decried the decision, not for the loss of the sweet, sweet content that AM stations tend to carry — although we always enjoyed “Traffic on the 8s” back in our dismal days of daily commuting — but rather as a safety concern, because AM radio can reach almost the entire US population with emergency information using just 75 stations. To our way of thinking, this makes AM radio critical infrastructure, and eliminating it from motor vehicles is likely to have unintended consequences. Now it seems like there’s some agreement with that position, as former administrators of FEMA (Federal Emergency Management Administration; and no, not FEDRA) have gotten together to warn about the dangers of deleting AM from cars. Manufacturers seem to be leaning into the excuse that EVs emit a lot of radio frequency interference, rendering static-sensitive AM receivers less useful than other, more profitable less susceptible modes, like digital satellite radio. That seems like a red herring to us, but then again, the most advanced infotainment option in any car we’ve ever owned is a CD player, so it’s hard for us to judge.

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The Singularity Isn’t Here… Yet

So, GPT-4 is out, and it’s all over for us meatbags. Hype has reached fever pitch, here in the latest and greatest of AI chatbots we finally have something that can surpass us. The singularity has happened, and personally I welcome our new AI overlords.

Hang on a minute though, I smell a rat, and it comes in defining just what intelligence is. In my time I’ve hung out with a lot of very bright people, as well as a lot of not-so-bright people who nonetheless think they’re very clever simply because they have a bunch of qualifications and diplomas. Sadly the experience hasn’t bestowed God-like intelligence on me, but it has given me a handle on the difference between intelligence and knowledge.

My premise is that we humans are conditioned by our education system to equate learning with intelligence, mostly because we have flaky CPUs and worse memory, and that makes learning something a bit of an effort. Thus when we see an AI, a machine that can learn everything because it has a decent CPU and memory, we’re conditioned to think of it as intelligent because that’s what our schools train us to do. In fact it seems intelligent to us not because it’s thinking of new stuff, but merely through knowing stuff we don’t because we haven’t had the time or capacity to learn it.

Growing up and making my earlier career around a major university I’ve seen this in action so many times, people who master one skill, rote-learning the school textbook or the university tutor’s pet views and theories, and barfing them up all over the exam paper to get their amazing qualifications. On paper they’re the cream of the crop, and while it’s true they’re not thick, they’re rarely the special clever people they think they are. People with truly above-average intelligence exist, but in smaller numbers, and their occurrence is not a 1:1 mapping with holders of advanced university degrees.

Even the examples touted of GPT’s brilliance tend to reinforce this. It can do the bar exam or the SAT test, thus we’re told it’s as intelligent as a school-age kid or a lawyer. Both of those qualifications follow our educational system’s flawed premise that education equates to intelligence, so as a machine that’s learned all the facts it follows my point above about learning by rote. The machine has simply barfed up what it has learned the answers are onto the exam paper. Is that intelligence? Is a search engine intelligent?

This is not to say that tools such as GPT-4 are not amazing creations that have a lot of potential to do good things aside from filling up the internet with superficially readable spam. Everyone should have a play with them and investigate their potential, and from that will no doubt come some very interesting things. Just don’t confuse them with real people, because sometimes meatbags can surprise you.

This Week In Security: Kali Purple, Malicious Notifications, And Cybersecurity Strategy

After a one-week hiatus, we’re back. It’s been a busy couple weeks, and up first is the release of Kali Purple. This new tool from Kali Linux is billed as an SOC-in-a-box, that follows the NIST CSF structure. That is a veritable alphabet soup of abbreviated jargon, so let’s break this down a bit. First up, SOC IAB or SOC-in-a-box is integrated software for a Security Operation Center. It’s intrusion detection, intrusion prevention, data analysis, automated system accounting and vulnerability scanning, and more. Think a control room with multiple monitors showing graphs based on current traffic, a list of protected machines, and log analysis on demand.

NIST CSF is guidance published by the National Institute of Standards and Technology, a US government agency that does quite a bit of the formal ratification of cryptography and other security standards. CSF is the CyberSecurity Framework, which among other things, breaks cybersecurity into five tasks: identify, protect, detect, respond, and recover. The framework doesn’t map perfectly to the complexities of security, but it’s what we have to work with, and Kali Purple is tailor-made for that framework.

Putting that aside, what Purple really gives you is a set of defensive and analytical tools that rival the offensive tools in the main Kali distro. Suricata, Arkime, Elastic, and more are easily deployed. The one trick that really seems to be missing is the ability to deploy Kali Purple as the edge router/firewall. The Purple deployment docs suggest an OPNSense deployment for the purpose. Regardless, it’s sure to be worthwhile to watch the ongoing development of Kali Purple.

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