Server racks branded with Internet Archive

News Sites Are Blocking Internet Archive Over AI Scraping Fears

Especially in this era of the Internet, the role of the Internet Archive’s Wayback Machine has become increasingly essential as more and more web content vanishes into the ether or is surreptitiously altered to hide salient details. More recently a new worry has seemingly cropped up in the form of scraping of data for so-called AI systems, or at least that’s part of the excuses being offered for blocking the Wayback Machine’s web crawlers, with [Andrew Deck] and [Hanaa’ Tameez] of [Nieman Lab] detailing the impact and reasons provided.

Some news outlets like The Baltimore Banner insist that they’re only blocking the Wayback Machine crawlers because they are worried that LLM chatbots would otherwise ‘improperly cite’ the source of content, while outlets like The Atlantic have put a blanket anti-scraping policy in place. Meanwhile news outlets are generally happy to let paid commercial news archiving outlets like ProQuest and LexisNexis index their content, showing a potential financial incentive.

Whatever the reasons, the direct effect is that as content is modified or vanishes during for example a system migration, buy-out or bankruptcy, researchers who rely on the Wayback Machine are pretty much forced to rely on paid offerings by ProQuest and kin, without the pure archiving focus and free access to information. It will also leave big holes in what the Wayback Machine can cover in its archives, with news especially becoming very spotty.

Incidentally there’s an ongoing petition over at SaveTheArchive.com which people can sign.

Three brown pancakes are sitting in a frying pan.

Optimizing Pancakes From Chemical Principles

Although parents and teachers like to point out the deep link between cooking and chemistry, most people don’t deliberately apply any chemical principles beyond acid/base reactions to their recipes. Not so [Ben Kazez]: he’s written a thorough exploration of the chemical journey to the perfect pancake, and made a calculator for others to use with their own ingredients.

The goal is to optimize the pancakes along four dimensions: interior texture (light and smooth), a tangy flavour, rise, and a crisp, brown exterior layer. The tang comes from residual acids, and since lactic acid produces the best taste, dairy-based acid sources (such as Greek yoghurt or buttermilk) are preferable. Acids also react with baking soda to release carbon dioxide, making them a part of one of the four rising agents. The other three are carbon dioxide released when double-acting baking powder is heated, steam released from the batter, and air bubbles stabilized by egg white foam.

Dairy products, besides contributing acid, also provide a protein structure to keep the interior smooth. In a normal wheat-heavy pancake, two proteins (glutenin and gliadin) interact to form tough strands of gluten. Fats bind to hydrophobic amino acids in these proteins and shorten the gluten chains, hence the name shortening. Adding ricotta cheese also replaces some of this gluten network with a smoother structure of previously-denatured dairy proteins. Dairy products also contribute to the Maillard reaction between reducing sugars (such as lactose, glucose, and fructose) and amino acids, which causes the browning of the pancake’s surface. Besides being brown, the surface should be crisp; since amylose, found in corn starch, forms a brittle, glassy, crackly network when dehydrated, corn starch was added.

The result is a set of chemical equations which can be tuned to create perfect pancakes, combined in the calculator. This summary doesn’t do justice to the depth of the research here; [Ben] also investigated optimal batter resting times, fermentation, cooking fats, cooking surfaces, and spatula properties. If all this has you interested in more about dairy proteins, check out our article on cheesemaking.

Featured image: “Buttermilk pancakes from a recipe by Darina Allen” by [Didym]. 

Spy Tech: The GPS Numbers Station

We’ve talked before about number stations — mysterious shortwave transmitters repeating numbers, presumably for clandestine purposes. But, of course, the mere fact that they are unusual makes them stand out. The best place to hide something is in plain sight. In the old days, a broadcaster might slip a fake news story in mentioning a name that has a secret meaning, for example. But according to [Steven Murdoch], the United States has an even more obvious hiding place for a numbers station: inside GPS.

Every L1 C/A navigation message is a 176-bit field known by the affectionate moniker: Subframe 4, Page 17. The GPS specification says it is for “special messages.” No one has disclosed what those messages might be.

[Murdoch] at University College London analyzed over 12 million GPS packets from 2007 to 2026, trying to understand what was in this field. You might think 176 bits isn’t much, and you are right. But the L1 C/A signal carries 50 bits per second, and each frame is 1,500 bits. As [Murdoch] points out: “every bit must earn its place.” Each subframe is 300 bits, so this mysterious signal is 12% of the subframe. It must be important to someone.

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Revisiting Using AI Coding Assistants: You’re Holding It Wrong Edition

After scathing accusations of skimping on due diligence, as well as other feedback to my article on trying to use an ‘AI coding assistant’ for the first time, the only rational, academic response is to lick one’s wounds following a particularly bruising peer review and try to address the raised issues. Reality after all does not care about one’s feelings, and there may be more to this AI assistant technology that can be coaxed out with a more in-depth look.

To this end I’ll do my best to try and work through each raised point, criticism and accusation, to see what I – and perhaps others – can learn of this endeavor. Said points include the use of the wrong frontend – i.e. Copilot – and the wrong model – being Claude Haiku 4.5 – as well as the egregious flaw on my end of ‘prompting wrong’.

For the sake of due diligence the best frontend and models will be investigated for particular tasks, with finally the verbal minefield of ‘prompt engineering’ examined for industry-standard approaches.

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Goddard The Robot Dog Brought To Life

There’s not much more nostalgic for many than good ole’ Jimmy Neutron. This was true for [Kiara], who saw the gorgeous pupper Goddard and wanted him for herself. Of course, there was no solution other than to make an animatronic version of the robot dog.

Starting with some files ripped from a Jimmy Neutron GameCube game, Goddard was designed digitally before being printed in life size. Of course, for a true reproduction of the robot dog, the parts had to be prepped and painted in the iconic chrome and purple. A real plasma ball was used for the brain, and linear actuators were used for the legs. The head was able to be moved around similarly to professional animatronics using fishing line and servos. Put together the entire finished pup, looks incredible.

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Fixing The Failure Of The Reevo

There are a lot of traditional features of a bike that rarely change. The spokes, the chain, and the inability for it to take off like a rocket, to mention a few. None of these are features of the Reevo, a bike that tried, and mostly failed, to innovate the traditional electric bike. [Berm Peak], an individual with more time on two wheels than the entire Reevo team ever had, tried his hand at fixing the Reevo’s many problems.

[Berm Peak] has had a go at the Reevo before, but this time he had to go a lot deeper. Before any real work could be done on the Reevo, the controller needed to be jailbroken since the only way to use most features required an app that wasn’t available. Surprisingly, the controller boards were found to be well labeled, and with some trial and error, the protocols could be reverse-engineered.

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Repairing A Apple PowerBook 150 With Serious Issues

Sometimes you purchase an old device that is very cheap for a good reason. So too with the 1995 Apple PowerBook 150 that [Hugh Jeffreys] purchased for a single Aussie buck back in 2018. After finally taking it off the shelf recently, the issues are very apparent. Without even trying to turn it on, the visible damage ranges from the display that’s gone full vinegar with wolverine scratches, to the snapped hinge. Naturally the HDD also turned out to be dead.

Without a functioning display there was little point in continuing, so the disassembly started there, revealing many broken plastic clips. The cause of the vinegar symptom is the degrading polarizer, which with some finesse can be removed like a thick screen protector. Fortunately, here it’s put on top of the glass layer of the display, so after peeling it off the remaining glue can be safely dissolved and scraped away.

Inside the case the RTC battery was found to have started leaking, causing corrosion and damaging a variety of important traces for the keyboard and display. All of this damage seemed fixable, but after a while the damage was just too severe. Fortunately he was able to obtain a replacement for the affected daughter PCB, which allowed the display to come back to life, so that a new polarizer could be installed after cutting a large sheet down to size.

A replacement hinge was then printed in PETG and glued to the part of the lid where it had broken off, while snapped plastic clips were reinforced with glue where they had hung on. Finally, the IDE HDD was replaced with a CF card via an IDE adapter and the entire system reassembled.

Unfortunately [Hugh] wasn’t able to immediately source or create MacOS floppies with a version that the laptop wanted to install from, so that part couldn’t be tested yet, but there’s a good chance that this old PowerBook 150 has finally been cured of at least its biggest ills, without spending much more than the original asking price.

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