What Happens When Lightning Strikes A Plane?

Lightning is a powerful force, one seemingly capable of great destruction in the right circumstances. It announces itself with a searing flash, followed by a deep rumble heard for miles around.

Intuitively, it might seem like a lightning strike would be disastrous for something like a plane flying at altitude. And yet, while damage is possible, more often than not—a plane will get through a lightning storm unscathed. Let’s explore the physics at play.

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Raspberry Pi Pico LED display sitting in window sill

An Ode To The Aesthetic Of Light In 1024 Pixels

Sometimes, brilliant perspectives need a bit of an introduction first, and this is clearly one. This video essay by [Cleggy] delivers what it promises: an ode to the aesthetic of light. But he goes further, materializing his way of viewing things into a beautiful physical build — and the full explanation of how to do it at home.

What’s outstanding here is not just the visual result, but the path to it. We’ve covered tons of different LED matrices, and while they’re all functional, their eventual purpose is left up to the builder, like coasters or earknobs. [Cleggy] provides both. He captured a vision in the streets and then built an LED matrix from scratch.

The matrix consists of 1024 hand-soldered diodes. They’re driven by a Raspberry Pi Pico and a symphony of square waves. It’s not exactly a WS2812 plug-and-play job. It’s engineered from the silicon up, with D-latches and demultiplexers orchestrating a mesmerizing grayscale visual.

Pulse-width modulation (PWM) is the secret ingredient of this hack. [Cleggy] dims each white pixel separately, by varying the duty cycle of its light signal. The grayscale video data, compressed into CSV files, is parsed line-by-line by the Pico, translating intensity values into shimmering time slices.

It transforms the way you see and perceive things. All that, with a 1000 LED monochrome display. Light shows are all highly personal, and each one is a little different. Some of them are really kid stuff.

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ATTiny85 as fan controller

An ATTiny GPU Fan Controller That Sticks

When your GPU fan goes rogue with an unholy screech, you either shell out for a new one or you go full hacker mode. Well, [ashafq] did the latter. The result is a delightfully nerdy fan controller powered by an ATTiny85 and governed by a DS18B20 temperature sensor. We all know a silent workstation is golden, and there’s no fun in throwing money at an off-the-shelf solution. [ashafq]’s custom build transforms a whiny Radeon RX 550 into a cool, quiet operator. Best of all: it’s built from bits likely already in your junk drawer.

To challenge himself a bit, [ashafq] rolled his own temperature-triggered PWM logic using 1-wire protocol on an ATtiny85, all without libraries or bloated firmware. The fan’s speed only ramps up when the GPU gets toasty, just like it should. It’s efficient and clever, and that makes it a fine hack. The entire system runs off a scavenged 12V fan. He could have used a 3D printer, but decided to stick onto the card with double-sided tape. McGyver would approve.

The results don’t lie: idle temps at 40 °C, load peaking at 60 °C. Quieter than stock, smarter than stock, and way cheaper too. The double-sided tape may not last, but that leaves room for improvement. In case you want to start on it yourself, read the full write-up and feel inspired to build your own. Hackaday.io is ready for the documentation of your take on it.

Modifying fans is a tradition around here. Does it always take a processor? Nope.

Raspberry Pi RP2350 A4 Stepping Addresses E9 Current Leakage Bug

The RP2350 MCU in A4 stepping.
The RP2350 MCU in A4 stepping.

When Raspberry Pi’s new RP2350 MCU was released in 2024, it had a slight issue in that its GPIO pins would leak a significant amount of current when a pin is configured as input with the input buffer enabled. Known as erratum 9 (E9), it has now been addressed per the July 29 Product Change Note from Raspberry Pi for the A4 stepping along with a host of other hardware and software issues.

Although the PCN is for stepping A4, it covers both steppings A3 and A4, with the hardware fixes in A3 and only software (bootrom) fixes present in A4, as confirmed by the updated RP2350 datasheet. It tells us that A3 was an internal development stepping, ergo we should only be seeing the A4 stepping in the wild alongside the original defective A2 stepping.

When we first reported on the E9 bug it was still quite unclear what this issue was about, but nearly a month later it was officially defined as an input mode current leakage issue due to an internal pull-up that was too weak. This silicon-level issue has now finally been addressed in the A3 and thus new public A4 stepping.

Although we still have to see whether this is the end of the E9 saga, this should at least offer a way forward to those who wish to use the RP2350 MCU, but who were balking at the workarounds required for E9 such as external pull-downs.

Farewell Shunsaku Tamiya: The Man Who Gave Us The Best Things To Build

In the formative experiences of most Hackaday readers there will almost certainly be a number of common threads, for example the ownership of a particular game console, or being inspired into engineering curiosity by the same TV shows. A home computer of a TV show may mark you as coming from a particular generation, but there are some touchstones which cross the decades.

Of those, we are guessing that few readers will not at some point have either built, owned, or lusted after a Tamiya model kit at some point over the last many decades, so it’s with some sadness that we note the passing of Mr. Tamiya himself, Shunsaku Tamiya, who has died at the age of 90.

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ESP32 Plugs In To Real-Time Crypto Prices

In today’s high-speed information overload environment, we often find ourselves with too much data to take in at once, causing us to occasionally miss out on opportunities otherwise drowned out in noise. None of this is more evident in the realm of high-speed trading, whether it’s for stocks, commodities, or even crypto. Most of us won’t be able to build dedicated high speed connections directly to stock exchanges for that extra bit of edge over the other traders, but what we can do is build a system that keys us in to our cryptocurrency price of choice so we know exactly when to pull the trigger on a purchase or sale.

[rishab]’s project for doing this is based on an ESP32 paired with a 10″ touchscreen display. It gathers live data from Binance, a large cryptocurrency exchange that maintains various pieces of information about many digital currencies. [rishab]’s tool offers a quick, in-depth look at a custom array of coins, with data such as percentage change over a certain time and high and low values for that coin as well. The chart updates in real time, and [rishab] also built a feature in which scales coins up if they have been seeing large movements in price over short timeframes.

Although it’s not a direct fiber link into an exchange, it certainly has its advantages over keeping this information in a browser window on a computer where it could get missed, and since it’s dedicated hardware running custom firmware it can show you exactly what you need to see if you’re day trading crypto. Certainly projects like this are in the DIY spirit that crypto enthusiasts tout as ideals of the currency, and as people move away from mining and more into speculative trading we’d expect to see more projects like this.

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Do You Trust This AI For Your Surgery?

If you are looking for the perfect instrument to start a biological horror show in our age of AI, you have come to the right place. Researchers at Johns Hopkins University have successfully used AI-guided robotics to perform surgical procedures. So maybe a bit less dystopian, but the possibilities are endless.

Pig parts are used as surrogate human gallbladders to demonstrate cholecystectomies. The skilled surgeon is replaced with a Da Vinci research kit, similarly used in human controlled surgeries.

Researchers used an architecture that uses live imaging and human corrections to input into a high-level language model, which feeds into the controlling low-level model. While there is the option to intervene with human input, the model is trained to and has demonstrated the ability to self-correct. This appears to work fairly well with nothing but minor errors, as shown in an age-restricted YouTube video. (Surgical imagery, don’t watch if that bothers you.)

Flowchart showing the path of video to LLM to low level model to control robot

It’s noted that the robot performed slower than a traditional surgeon, trading time for precision. As always, when talking about anything medical, it’s not likely we will be seeing it on our own gallbladders anytime soon, but maybe within the next decade. If you want to read more on the specific advancements, check out the paper here.

Medical hacking isn’t always the most appealing for anyone with a weak stomach. For those of us with iron guts make sure to check out this precision tendon tester!