Getting Started With USB-C And Common Pitfalls With Charging And Data Transfer

January 28, 2024 by Maya Posch 28 Comments

USB-C is one of those things that generally everyone seems to agree on that it is a ‘good thing’, but is it really? In this first part of a series on USB-C, [Andreas Spiess] takes us through the theory of USB-C and USB Power Delivery (PD), as well as data transfer with USB-C cables. Even ignoring the obvious conclusion that with USB-C USB should now actually be called the ‘Universal Parallel Bus’ on account of its two pairs of differential data lines, there’s quite a bit of theory and associated implementation details involved.

The Raspberry Pi 4B's wrong USB-C CC-pin configuration is a good teaching example. — The Raspberry Pi 4B’s wrong USB-C CC-pin configuration is a good teaching example.

Starting with the USB 2.0 ‘legacy mode’ and the very boring and predictable 5 V power delivery in this mode, [Andreas] shows why you may not get any power delivered to a device with USB-C connector. Most likely the Downstream Facing Peripheral (DFP, AKA not the host) lacks the required resistors on the CC (Configuration Channel) pins, which are both what the other USB-C end uses to determine the connector orientation, as well as what type of device is connected.

This is where early Raspberry Pi 4B users for example saw themselves caught by surprise when their boards didn’t power up except with some USB cables.

The saga continues through [Andreas]’s collection of USB-C cables, as he shows that many of them lack the TX/RX pairs, and that’s before trying to figure out which cables have the e-marker chip to allow for higher voltages and currents.

On the whole we’re still excited about what USB-C brings to the table, but the sheer complexity and number of variables make that there are a myriad of ways in which something cannot work as expected. Ergo Caveat Emptor.

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Harvesting Electricity From High-Voltage Transmission Lines Using Fences

January 27, 2024 by Maya Posch 373 Comments

When you have a bunch of 230 kV transmission lines running over your property, why not use them for some scientific experiments? This is where the [Double M Innovations] YouTube channel comes into play, including a recent video where the idea of harvesting electricity from HV transmission lines using regular fences is put to an initial test.

The nearly final measurement by [Double M Innovations]. — The nearly final voltage measurement by [Double M Innovations].

A rather hefty 88 µF, 1200 V capacitor, a full bridge rectifier, and 73 meters (240 feet) of coax cable to a spot underneath the aforementioned HV transmission lines. The cable was then put up at a height consistent with that of fencing at about 1.2 m (4 ft), making sure that no contact with the ground occurred anywhere. One end of the copper shield of the coax was connected to the full bridge rectifier, with the opposite AC side connected to a metal stake driven into the ground. From this the capacitor was being charged.

As for the results, they were rather concerning and flashy, with the 1000 VAC-rated multimeter going out of range on the AC side of the bridge rectifier, and the capacitor slowly charging up to 1000 V before the experiment was stopped.

Based on the capacity of the capacitor and the final measured voltage of 907 VDC, roughly 36.2 Joule would have been collected, giving some idea of the power one could collect from a few kilometers of fencing wire underneath such HV lines, and why you probably want to ground them if energy collecting is not your focus.

As for whether storing the power inductively coupled on fence wire can be legally used is probably something best discussed with your local energy company.

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Hacking A Xiaomi Air Purifier’s Filter DRM To Extend Its Lifespan

January 26, 2024 by Maya Posch 10 Comments

When [Unethical Info] was looking at air purifiers a while back, their eye fell on a Xiaomi 4 Pro, with a purchase quickly made. Fast-forward a while and suddenly the LCD on top of the device was showing a threatening ‘0% filter life remaining’ error message. This was traced back to an NFC (NTAG213) tag stuck to the filter inside the air purifier that had been keeping track of usage and was now apparently the reason why a still rather clean filter was forcibly being rejected. Rather than give into this demand, instead the NFC tag and its contents were explored for a way to convince it otherwise, inkjet cartridge DRM-style.

While in the process of reverse-engineering the system and doing some online research, a lucky break was caught in the form of earlier research by [Flamingo Tech] on the Xiaomi Air Purifier 3, who had obtained the password-generating algorithm used with the (password-locked) NFC tag, along with the target area of the filter’s NFC tag to change. Using the UID of the NFC tag, the password to unlock the NFC tag for writing was generated, which requires nothing more than installing e.g. ‘NFC Tools’ on an NFC-capable Android/iOS smartphone to obtain the tag’s UID and reset the usage count on the filter.

A password generating tool is provided with the [Unethical Info] article, and this approach works across a range of Xiaomi air purifiers, making it an easy fix for anyone who owns such a device but isn’t quite ready yet to shell out the big bucks for a fresh DRM-ed filter. This approach also saves one from buying more NFC tags, which was the case with the previous solution.

San Francisco Sues To Keep Autonomous Cars Out Of The City

January 26, 2024 by Maya Posch 32 Comments

Although the arrival of self-driving cars and taxis in particular seems to be eternally ‘just around the corner’ for most of us, in an increasing number of places around the world they’re already operational, with Waymo being quite prevalent in the US. Yet despite approval by the relevant authorities, the city of San Francisco has opted to sue the state commission that approved Google’s Waymo and GM’s Cruise. Their goal? To banish these services from the streets of SF, ideally forever.

Whether they will succeed in this seems highly doubtful. Although Cruise has lost its license to operate in California after a recent fatal accident, Waymo’s track record is actually quite good. Using public information sources, there’s a case to be made that Waymo cars are significantly safer to be in or around than those driven by human operators. When contrasted with Cruise’s troubled performance, it would seem that the problem with self-driving cars isn’t so much the technology as it is the safety culture of the company around it.

Yet despite Waymo’s better-than-humans safety record, it is regarded as a ‘nuisance’, leading some to sabotage the cars. The more reasonable take would seem to be that although technology is not mature yet, it has the overwhelming advantage over human drivers that it never drives distracted or intoxicated, and can be deterministically improved and tweaked across all cars based on experiences.

These considerations have been taken into account by the state commission that has approved Waymo operating in SF, which is why legal experts note that SF case’s chances are very slim based on the available evidence.

The NSA’s Furby Artificial Intelligence Scare: FOIA Documents Provide Insight

January 25, 2024 by Maya Posch 24 Comments

For those of us who were paying a modicum of attention to the part of the news around 1999 which did not involve the imminent demise of humanity due to the Y2K issue, a certain toy called a ‘Furby’ was making the headlines. In addition to driving parents batty, it also gave everyone’s favorite US three-letter agency a scare, with it being accused of being both a spying tool and equipped with an advanced artificial intelligence chip. Courtesy of a recent Freedom of Information Act (FOIA) request we now have the low-down on what had the NSA all atwitter.

In a Twitter thread (Nitter) user [dakotathekat] announced the release, which finally answered many questions about the NSA’s on-premises ban of Furbys (or Furbees if you’re Swedish). The impression one gets is that this ‘Furby ban’ was primarily instated out of an abundance of caution, as unauthorized recording devices of any kind are strictly forbidden on NSA premises. With nobody at the NSA apparently interested in doing a teardown of a Furby to ascertain its internals, and the careful balance between allowing children’s toys on NSA grounds versus the risk of a ‘Furbygate’, a ban seemed the easy way out. Similarly, the FAA saw fit to also make people turn their Furbys off like all other electronic devices.

The original Furby toys did not have anything more complex inside of them than a 6502-derived MCU and a Ti TSP50C04 IC for speech synthesis duties, with the supposed ‘learning’ process using a hardcoded vocabulary that gradually replaced its default gibberish with English or another target language.

Flat Earth Theatre presents "R.U.R." by Karel Capek. January 23 - 31, 2009. Featuring Michael Wayne Smith, Karen Hart, Valerie Daum, Jeff Tidwell, Kevin Kordis, James Rossi, Bill Conley, Justus Perry, and Amy Lehrmitt. Directed by Jake Scaltreto. Arsenal Center for the Arts, Watertown.

Robot: You Keep Using That Word But It Doesn’t Mean What You Think It Means

January 24, 2024 by Maya Posch 33 Comments

The flute player automaton by Innocenzo Manzetti (1840)

With many words which are commonly used in everyday vocabulary, we are certain that we have a solid grasp of what they do and do not mean, but is this really true? Take the word ‘robot’ for example, which is more commonly used wrongly rather than correctly when going by the definition of the person who coined it: [Karel Čapek]. It was the year 1920 when his play Rossumovi Univerzální Roboti was introduced to the world, which soon saw itself translated and performed around the world, with the English-speaking world knowing it as R.U.R.: Rossum’s Universal Robots.

Up till then, the concept of a relatively self-operating machine was known as an automaton, as introduced by the Ancient Greeks, with the term ‘android’ being introduced as early as the 18th century to mean automatons that have a human-like appearance, but are still mechanical contraptions. When [Čapek] wrote his play, he did not intend to have non-human characters that were like these androids, but rather pure artificial life: biochemical systems much like humans, using similar biochemical principles as proteins, enzymes, hormones and vitamins, assembled from organic matter like humans. These non-human characters he called ‘roboti’, from Old Czech ‘robot’ (robota: “drudgery, servitude”), who looked human, but lacked a ‘soul’.

Despite this intent, the run-away success of R.U.R. led to anything android- and automaton-like being referred to as a ‘robot’, which he lamented in a 1935 column in Lidové Noviny. Rather than whirring and clunking pieces of machinery being called ‘automatons’ and ‘androids’ as they had been for hundreds of years, now his vision of artificial life had effectively been wiped out. Despite this, to this day we can still see the traces of the proper terms, for example when we talk about ‘automation’, which is where automatons (‘industrial robots’) come into play, like the industrial looms and kin that heralded the Industrial Revolution.

(Heading image: Performance of R.U.R. by Flat Earth Theatre, showing the mixing of robot ingredients)

Human-Written Or Machine-Generated: Finding Intelligence In Language Models

January 24, 2024 by Maya Posch 45 Comments

What is the essential element which separates a text written by a human being from a text which has been generated by an algorithm, when said algorithm uses a massive database of human-written texts as its input? This would seem to be the fundamental struggle which society currently deals with, as the prospect of a future looms in which students can have essays auto-generated from large language models (LLMs) and authors can churn out books by the dozen without doing more than asking said algorithm to write it for them, using nothing more than a query containing the desired contents as the human inputs.

Due to the immense amount of human-generated text in such an LLM, in its output there’s a definite overlap between machine-generated text and the average prose by a human author. Statistical methods of detecting the former are also increasingly hamstrung by the human developers and other human workers behind these text-generating algorithms, creating just enough human-like randomness in the algorithm’s predictive vocabulary to convince the casual reader that it was written by a fellow human.

Perhaps the best way to detect machine-generated text may just be found in that one quality that these algorithms are often advertised with, yet which they in reality are completely devoid of: intelligence.

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