De-Aging Human Tissue Using Special Enzyme To Remove AGEs

With human bodies being bags of mostly salty water and countless messy biochemical processes, it’s little wonder that over time some residues tend to collect in these systems. Although evolution has seen fit to also evolve a range of mechanisms to clean up many of those messes, some of these waste products are left to gather, such as advanced glycation end-products (AGEs). Implicated in everything from diabetes to chronic kidney disease and general aging-related conditions, recently researchers have developed a way to break down one type of these AGEs.

Called N(6)-Carboxymethyllysine (CML), there is evidence to suggest that the presence of AGEs like it in the extracellular matrix (ECM) has damaging effects on the ECM’s functioning, as observed in e.g. the inhibiting of collagen crosslinking and the resulting ‘aging’ of skin among other tissues. Essentially these waste product jam up the normal biochemical machinery, while also triggering pro-inflammatory factors.

Beyond aging-related conditions, this can result in a whole range of other diseases that may be resolved if these waste products could be cleaned out. To this end [Narisa Trabosh] et al. of the San Francisco-based Revel Pharmaceuticals laboratory created CMLase, an enzyme that breaks down CML.

Arterial tissue treated with the CMLase enzyme shows a clear difference. (Credit: Trabosh et al., Nature communications, 2026)
Arterial tissue treated with the CMLase enzyme shows a clear difference. (Credit: Trabosh et al., Nature communications, 2026)

The challenge here was to design this enzyme, which used a genetic selection approach in modified E. coli to narrow down suitable enzymes, optimized for dealing with free CML. Once they were fairly confident that they had a working enzyme, they had to test it and observe the results.

This testing was performed in model proteins in vitro, as well as in tissue samples from elderly donors. These latter included lens, skin and arterial tissue, all of which are long-lived tissues that have plenty of time to collect CML. After treatment with CMLase the presence of CML in these tissues was reduced by 55% for skin and 75% for arterial tissue.

Of course, as also noted in the article these are ex vivo experiments that do not yet directly translate to living patients. An initial human trial would need to show safety above all, even if the amount of waste produced by the clean-up of CML won’t be that significant.

Subsequent trials would need to demonstrate that such removal of CML leads to healthier tissues, which if confirmed would open the path for other pathogenic AGEs to get their own matching enzyme.

Re-Testing An Apollo Guidance Computer Module That Failed Certification Testing

After getting his hands on a rope driver module from the Apollo project era that had a big ‘Scrapped Module’ stamped on it, [Mike Stewart] was naturally left curious as to what exactly had failed in this module. Originally destined for the Apollo Guidance Computer, these Raytheon-manufactured modules were the pinnacle of space-grade high-tech of the 1960s, with requisite acceptance testing so as to not endanger a very expensive space mission.

The cool part here is that the acceptance documents for the module in question (B16-B17) have been scanned in and can be found on the Internet Archive. With the part itself being potted and very much inaccessible, this document helpfully lays out the expected measurements on the module’s pins, as well as schematics and mechanical drawings. Unfortunately the reasons for the rejection were not recorded, so replicating the failing test results is required to understand the reason.

NASA Rope Driver Module with suspicious exploration marks. (Credit: Mike Stewart, YouTube)
NASA Rope Driver Module with suspicious exploration marks. (Credit: Mike Stewart, YouTube)

A slight complication here is that the testing procedure doesn’t just involve hooking up a multimeter for some voltage and capacitance measurements. There are also temperature and voltage extremes, and vibration tolerance involved, which would be somewhat complex to test, but most of all risk damaging a historical artefact. Thus a somewhat conservative testing procedure was chosen, even if this may not reveal the actual fault.

As noted in the video, sometimes modules were also rejected because someone simply dropped it on the floor along the way. However, generally if a module was found to be faulty they would open it to diagnose said fault, with a closer look at this module indeed revealing suspicious marks in the potting compound where it was apparently opened and conceivably repaired. This also might explain why they also put the ‘For engineering use only’ on it.

With multiple of such locations visible in the potting compound, these locations were mapped to the schematics for the module, to get some idea of what may have been accessed. After this, basic testing was performed on the module, as per the acceptance testing document.

Along the way an error was detected in said document, in the form of the wrong pin number. In table 4-2 the input pin 269 was mistakenly listed as having output pin number 169 when it should have been pin 168. Pin 169 is chassis ground, so this was presumably fixed in a later version of the document.

After all the testing with just stationary, room-temperature conditions, everything appeared to check out. This means that likely this was indeed a repaired module that got subsequently used for engineering purposes rather than installed in flight-ready hardware. The only issue found was that channels were out of calibration, but whether this was an original flaw or due to the module being half a century old is hard to tell in the absence of repair logs.

Overall it’s an exciting opportunity to document another part of history, since so many of the details pertaining to these original modules and related technologies got lost or muddled over the decades.

Continue reading “Re-Testing An Apollo Guidance Computer Module That Failed Certification Testing”

Filling High Pressure CO2 Tanks From Sugar Fermentation Gas

After previously using the fermenting of sugar to obtain ethanol fuel, [Hyperspace Pirate] figured that it’d be a waste to just blast the other half of the yeast production in the form of carbon dioxide into the air. This poses the slight problem that gaseous CO2 is fairly bulky, while compressing it into a liquid isn’t exactly for the faint of heart. This of course means that it’s a fun challenge, involving a beach ball, vapor-compression and various compressors.

Although at room temperature compressing CO2 into a liquid requires quite extreme pressures, if you lower it to freezing temperatures it becomes quite feasible to use more typical off-the-shell compressors.

In the video both oil-less and regular compressors are used, mostly because ultimately you want to get pure CO2 into the bottle, without oil or water. Here a few methods are explored, including a pre-cooler with the oil-less compressor as it cannot quite hit the same pressures. With a typical compressor linked to an oil-separator you can directly fill the tank, which is pretty nice, though even with this removal of water turned out to be a chore.

Desiccating the gas that comes out of the fermentation vat, is attempted using a converted water filter that’s filled with desiccant beads, but as the later tests show, this isn’t quite good enough to prevent moisture to make it into the bottle and clogging its nozzle. Of course, moisture here is more acceptable than oil for most applications, so with some more work this could be quite a feasible method to fill bottles with liquid CO2 for various nefarious applications like paintball guns and more.

Continue reading “Filling High Pressure CO2 Tanks From Sugar Fermentation Gas”

Repairing A “for Parts” Canon 7D Mark II DSLR

The exciting part of buying a ‘broken, for parts’ off a site like EBay is that you rarely know exactly just how ‘broken’ it truly is. Even if the seller insists that it’s thoroughly buggered, you just might be able to eke out a fix with some out-of-the-box thinking and plucky ingenuity. Such was the case for [Dieter Vansteenwegen] who gambled on a cheap Canon 7D Mark II DSLR body that was sold for a mere €180 on account of said broken condition.

After confirming that the DSLR’s condition was basically as described by the seller, with nothing on the LCD or HDMI output and the auto-focus not working while partially pressing the trigger button, but still taking a picture when fully pressed. Sometimes it would also show a standard maintenance message on the LCD, so clearly it ought to be working. Maybe the camera’s processor was just being chronically unhappy about something, in which case an easy fix might be possible.

As anyone who has ever taken a digital camera apart knows, you do not simply pop them open for a quick look. Somewhere in the nightmarish contraption of flatflex cables, PCBs and endless sub-assemblies there might be a fault, but where to start? Fortunately with some support from the custom Canon firmware community Magic Lantern and the website Photo Parts UA for reference images he was able to start tracing a number of pertinent signals.

With the auto-focus hint as guide, this was traced back to the MPU, which turned out to have a floating signal on the auto-focus pin that got interpreted as ‘active’. Likely the internal pull-up got damaged due to the use of an external trigger module as there’s no real protection on these lines. One bodge wire later to create an external 3.3 V pull-up the DSLR happily sprung back to life.

In terms of parts this definitely was a cheap repair, but it comes with the prerequisite of having the skills and equipment to perform said repair. Still, massive props and congratulations to [Dieter] for saving this DSLR from being merely a device to be picked over for parts.

How Film Industry Data Website The-Numbers.com Got Mauled By Bots

A lot has been made about the increase of automated traffic on the Internet, with the past years LLM-related crawlers having quite literally swarmed the picture here. Not only does this drive up traffic, it also increases load on web servers, whose owners find themselves faced with increased hosting costs. This recently led to The-Numbers.com going offline for a while as automated traffic was quite literally destroying their bottom line.

This saga is covered by [Stephen Follows], who had a chance to talk with the founder and CEO of the site, [Bruce Nash], after the site went basically offline for a few months. Since the website both licenses data for commercial purposes as well as offering the free access on its website, there were accusations of this being a ‘rug pull’.

The site was started in 1997, as a static HTML site on Geocities where [Bruce] provided box office analyses for investment purposes. Since that beginning traffic was generally polite, with human visitors and usually well-behaved search engine crawlers. Then around 2024 the first wave of scraper bots arrived, followed by a larger wave around December of 2025.

Despite implementing a few mitigations, such as LLM-targeted text, the increased traffic and the resulting load on a site architecture that was never designed for this ultimately led to a collapse. One of the major sources of traffic turned out to be from so-called ‘prediction markets’, like Polymarket, whose bots absolutely hammered the site.

Fortunately for [Bruce] and his team they do not rely on the free website for income, but they have had to massively rework the site’s architecture to bring back a semblance of the original features. As noted in the article, the amount of crawling traffic by these LLMs and ‘agentic AI’ tools is exponentially more than that for search engines, which makes this a major challenge.

Issues like these is why services such as Cloudflare are offering blocking features for such automated traffic. After all, unless such traffic is of use to you, you may as well treat it like a DDoS attack and cut it off at the root.

Thanks to [Ben] for the tip.

Fast Volumetric Imaging Of Seizures With Adaptive Optics Light Sheet Microscopy

Seizure in zebrafish larva imaged using AO setup. (Credit: Bingxi Liu et al., Biomedical Optics Express, 2026)
Seizure in zebrafish larva imaged using AO setup. (Credit: Bingxi Liu et al., Biomedical Optics Express, 2026)

Key to understanding something like epilepsy is to be able to record highly transient events in biological tissues. Generally this is done using light sheet microscopy, which provides effectively a 2D ‘slice’ of the tissue in question, but to observe a brief event in a larger biological system you need to be able to rapidly change the layer and focus between the virtual layers. This is what [Bingxi Liu] et al. al did using adaptive optics with an electrically tunable lens (ETL) in order to capture seizures in the brain of zebrafishes.

Their system can capture a volume of 499 × 499 × 150 μm3 at 4 volumes per second, which is large enough to fit optically transparent zebrafish larva into. The optical setup is shown in the above image, with the design based on the OpenSPIM platform for selective plane illumination microscopy.

Here the 488 nm laser provides the illumination (excitation) of the layer, while the 543 nm laser is for calibration purposes. The ETL is thus in the imaging path that allows for capturing by a digital camera, while a beam splitter directs part of the captured data to a Shack-Hartmann wave front sensor (SHWFS), which is part of the adaptive optics system.

After a seizure was induced in the zebrafish larva using the drug pentylenetetrazol the results were recorded using this system. It showed the seizure’s origin in the posterior brain, with subsequent propagation to the anterior before subsiding gradually over tens of seconds.

This system should be quite useful even outside of seizure research, as there are a lot of 3D systems in biology where having a relatively high-speed microscopic capture can be very revealing.

Codeberg Bans Cryptocurrency And LLM-Generated Code Projects

Community-led open source project hosting site Codeberg has formally announced that projects whose code is largely or fully machine-generated through LLMs and other ‘AI’ tools will no longer be welcome. This follows on the heels of a similar ban on cryptocurrency-related projects.

The community vote was on two issues, the first being the notion that scraping of project code for the use in LLMs should be forbidden, which was a motion that easily passed. The second motion was on disallowing projects whose code was substantially generated by LLMs like Claude, OpenAI Codex, and similar. This motion passed with 358 in favor versus 144 against.

In the earlier linked blog post the reasoning behind especially this second issue is expanded upon, covering not only ‘license whitewashing’, but also the direct and indirect hardware costs, with the expanding ‘AI’ datacenter hyperscaling having massively increased hardware costs for Codeberg over the past years, as the costs have been largely externalized.

Also covered is the aspect of these LLM-based tools destroying the OSS community, which is something that is backed up by recent studies. Even if we ignore that such LLM-tools are destroying the cognitive abilities of its users, there’s an argument to be made that if LLM-scraping is disallowed, then it’s consistent to also not allow LLM-generated code.

In the Terms of Use you can see these changes, both for LLMs and for cryptocurrency projects.

Thanks to [mk-fg] for the tip.