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There’s now a cheaper way to get a DJI Inspire 3

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DJI has introduced a new Inspire 3 Basic Package. This gives filmmakers a cheaper way to get hold of its flagship cinema drone without buying the full production kit.

The new bundle via My News Desk, trims down the accessories while keeping the core hardware intact. This means you still get the DJI Inspire 3 paired with the Zenmuse X9-8K Air gimbal camera. It is the same full-frame imaging system used on the standard Inspire 3 package. Not bad when you consider the standalone prices of some of the best drones.

That camera is capable of 8K video capture and supports dual native ISO with more than 14 stops of dynamic range. Therefore, it is suitable for professional film and TV productions.

It also works with DJI’s Cinema Color System (DCCS), which is designed to maintain accurate colours across different lighting conditions. This applies from natural landscapes to city environments. In addition, it preserves natural-looking skin tones.

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What’s different with the Basic Package is the accessory lineup. Rather than bundling the entire filmmaking kit, DJI includes just the essentials: the Inspire 3 drone, the Zenmuse X9-8K Air camera, four TB51 Intelligent Batteries, a trolley case for the drone, and a dedicated case for the camera.

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Filmmakers who already own Inspire-series gear or those who want to build a more tailored setup can then buy additional accessories separately. For instance, they can add the RC Plus (Inspire 3) remote controller.

The idea is simple: lower the upfront cost for professionals who don’t need every extra accessory straight away. Nevertheless, they still get the same cinematic imaging system. This system has made the Inspire 3 a popular choice for aerial filmmaking since it launched in 2023.

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The DJI Inspire 3 Basic Package is priced at £7,099 in the UK and €7,999 in Europe with UK availability expected to begin in April.

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Restoring A Commodore PET 3032 In Rough Condition

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The restored PET/CBM 3032. (Credit: Drygol, retrohax.net)
The restored PET/CBM 3032. (Credit: Drygol, retrohax.net)

The Commodore CBM 3032 is a successor to the original Commodore PET 2001, yet due a conflicting trademark issue with Philips these first European PETs were called ‘CBM’ instead. Hence the labeling on the CBM 3032 that [Drygol] had in for a restoration, which would have been produced somewhere between 1979 and the cessation of its manufacturing a few years later. This former machine of the University of Szcezecin in Poland had languished in a basement until a local demoscene group came across it and wanted to use it, after a restoration.

Although at first glance from just the front it didn’t look too shabby, problems were apparent from just a walkaround, including rusty and buckled paneling, showing that the time spent in storage had not done it any favors. Internally there was decades worth of dust, along with a dodgy potentiometer, cold joints and some PCB-level bodges that may or may not have been there from the factory.

The main case was disassembled by drilling out the rivets to gain full access to every nook and cranny, allowing for a good cleaning and repainting prior to putting in fresh rivets. On the PCB side of things, a potentiometer and an LM340KC-12 linear regulator in a TO-3 package had to be replaced, after which the system managed to boot reliably once in every three attempts.

Fixing this took basically cleaning all contacts and IC sockets, as well as refurbishing the keyboard, with corrosion and the occasional broken trace causing a lot of grief. Ultimately the system was restored and ready to be put into demoscene service.

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DeepRare outperforms doctors in a rare disease diagnosis study

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DeepRare, an agentic AI system integrating 40 specialised tools, outperformed medical specialists in identifying rare conditions in a head-to-head study published in Nature.


For millions of people with rare diseases, the path to diagnosis is a labyrinth. Patients bounce between generalist GPs and specialists across years, sometimes decades, piecing together symptoms that fall outside textbook presentations.

Eighty per cent of rare diseases have a genetic origin, yet most go undiagnosed until too much biological damage has occurred. The bottleneck is not lack of data, it’s finding the needle in the medical haystack.

A new study published in Nature this month suggests that artificial intelligence may accelerate that hunt. Researchers at Shanghai Jiao Tong University’s School of Artificial Intelligence and Xinhua Hospital developed DeepRare, an AI system designed to mimic how human doctors reason through diagnostic uncertainty.

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In a head-to-head comparison with five experienced physicians, each with more than a decade of practice, the system achieved higher accuracy across the board.

The numbers are striking. DeepRare correctly identified the disease on its first suggestion 64.4 per cent of the time, compared to 54.6 per cent for the doctors. When given three suggestions instead of one, the AI system achieved diagnostic success in 79 per cent of cases versus 66 per cent for the human specialists.

Crucially, the physicians endorsed the AI’s reasoning 95.4 per cent of the time, suggesting the system not only reaches correct conclusions, but does so in ways that experienced clinicians find persuasive and medically sound.

What distinguishes DeepRare from earlier diagnostic AI is its architecture. Rather than applying a black-box classification model, the system integrates 40 specialised digital tools and follows an explicitly reasoned workflow.

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It forms diagnostic hypotheses, tests them against patient evidence, searches global medical literature databases, analyses genetic variants, and revises its conclusions iteratively before ranking possibilities.

The process mirrors the cognitive steps a human diagnostician takes, but with access to the entirety of medical knowledge and computational speed humans cannot match.

The system has already moved beyond the laboratory. Since July 2025, DeepRare has been deployed on an online diagnostic platform, with more than 600 medical institutions worldwide registered to use it.

The research team plans to validate the system further using 20,000 real-world cases and to launch a global rare disease diagnostic alliance. Notably, the authors emphasise that the system is not intended to replace clinicians, but to augment diagnostic workflows, a safeguard that acknowledges both the technical limits of AI and the irreducible human element in medicine.

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The implications for patients are profound. Approximately 300 million people worldwide are affected by rare diseases, and the average diagnostic odyssey stretches to five years or longer.

Each year of diagnostic delay is a year of uncertainty, wrong treatments, and accumulating organ damage. An AI system that can trim weeks or months from that timeline, and surface possibilities that might otherwise be overlooked, could reshape the early experience of living with a rare condition.

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Building An Analogue Computer To Simulate Neurons

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The rapidly-improving speed and versatility of digital computers has mostly driven analogue computers out of use in modern systems, as has the relative difficulty of programming an analogue computer. There is a kind of art, though, in weaving together a series of op-amps to perform mathematical calculations; between this, a historical interest in the machines, and their rarity value, it’s no wonder that new analogue computers are being designed even now, such as [Markus Bindhammer]’s system.

The computer is built around a combined circuit board and patch panel, based on the designs included in three papers in a online library of analogue computer references. The housing around the patch panel took design cues from the Polish AKAT-1 analogue computer, including the two dial voltage indicators and an oscilloscope display, in this case an inexpensive DSO-138. The patch panel uses banana connectors and the jumper wires use stackable connectors, so several wires can be connected to the same socket.

The computer itself has a summing amplifier circuit, a multiplier circuit, an integrator, and square, triangle, and sine wave generators. This simple set of tools is enough to simulate both simple and complex math; for example, [Markus] squared five volts with the multiplier, resulting in 2.5 volts (the multiplier divides the result by ten). A more advanced example is a leaky-integrator model of a neuron, which simulates a differential equation.

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We’ve covered a few analogue computers before, as well as a neuron-simulating circuit similar to [Markus]’s demonstration.

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Those White Traffic Lights You May See On Some Roads Aren’t Meant For You

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If you are in your car, driving through an intersection with traffic lights, you’re accustomed to looking for a few types of signals — usually green, yellow, and red lights or turn arrows. These long-established traffic signals and their colors are second nature for motorists, so when drivers see a traffic light color or pattern out of the ordinary, it can be very confusing, throwing off our familiar patterns.

In recent years, drivers in certain cities may have noticed a separate signal housing on certain traffic lights. This housing displays a white bar that operates independently of the existing lights. Is this some sort of new traffic rule for cars to follow? Nope. Though visible to everyone, the white signals are not for normal motorists or pedestrians; instead, they’re specifically for buses.

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The signals are part of an increasingly common, automated Transit Signal Priority system that gives buses the right-of-way at busy intersections. The goal is to avoid buses being held up in normal traffic, helping to speed up transit times for riders while also reducing emissions by reducing the time buses spend idling in traffic. When properly implemented, the signals are just one of the tools that can help bridge the gap between road-going buses and other, more streamlined forms of mass transit. 

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Skipping the line

Traditionally, one of the biggest issues with buses as a form of urban transit is that they generally use the same streets as normal cars. While a train or subway operates on its own tracks, buses can be just as susceptible to traffic gridlock and crowded streets as any other vehicle. All of this comes on top of other rules that can impede their travel times, of course, like mandated stops at every railroad crossing

In some urban areas, buses can use their own designated lanes in traffic, which helps speed things up. When they come to intersections, though, they usually have to stop and follow the same signals and traffic flow as every other vehicle. That’s where the white bus signal lights come in.

These separate bus signals, sometimes referred to as “queue jump” lights, have sensors that detect approaching buses and send a signal to the traffic light. When this happens, the white bar in the light moves from horizontal to vertical, signaling to the driver that they can cross the intersection, all while the other lights remain red.

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Eliminating confusion

While the bus priority signal system is relatively simple, you can’t just add these signals to any busy intersection and immediately speed up transit times. To work properly and avoid entanglements with normal traffic, the signals need to be used in areas with designated bus lanes. Otherwise, even if given the right-of-way, buses could still be held up by stopped traffic. Some cities have implemented alternative forms of signal priority systems that detect the approach of buses and emergency services, but instead show a green light without dedicated signals or designated bus lanes.

When the white bus signals first debuted, motorists weren’t just confused by the new, unfamiliar white lights themselves. News reports of the time relayed how some drivers would complain after observing city buses seemingly blowing through red lights — only to be told by bus drivers that they were actually following the new, bus-only signal system.

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While this signal system might confuse some unfamiliar motorists and observers, the results so far have been positive. They might take some getting used to, but they’re much more benign than the controversial AI technology New York City adopted in 2025, where city buses can use cameras to autonomously issue traffic tickets to cars parking or driving in bus lanes.



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The OLED Burn-In Test: Two Years Later

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After 6,500 hours of heavy productivity use, we revisit our intentionally abused 4K QD-OLED monitor to see how burn-in has progressed under one of the worst-case scenarios for OLED panels.

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Scientists create a DNA hard drive that could store centuries of data in microscopic volumes without traditional HDD constraints

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  • University of Missouri researchers claim DNA hard drives can store, erase, and rewrite repeatedly
  • Frameshift encoding converts binary data into DNA sequences for molecular storage
  • Nanopore sensors read DNA sequences by detecting subtle electrical signal changes

The University of Missouri has announced progress on what it calls a “DNA hard drive,” claiming it can store, erase, and rewrite information repeatedly.

Unlike conventional HDDs or cloud storage, which rely on magnetic or solid-state media, this approach leverages the molecular stability of DNA.

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How Usable Is Windows 98 In 2026?

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With the RAM and storage crisis hitting personal computing very hard – along with new software increasingly suffering the effects of metastasizing ‘AI’ – more people than ever are pining for the ‘good old days’. For example, using that early 2000s desktop PC with Windows 98 SE might now seem to be a viable alternative in 2026, because it couldn’t possibly make things worse. Or could it? As a reality check, [SteelsOfLiquid] over on YouTube gave this setup a whirl.

The computer of choice is a very common Dell Dimension 2100, featuring a zippy 1.1 GHz Intel Celeron, 256 MB  of DDR1, and a spacious 38 GB HDD. Graphics are provided by the iGPU in the Intel i810 chipset, all in a compact, 6.9 kg light package. As an early Windows XP PC, this gives Windows 98 SE probably a pretty solid shot at keeping up with the times. At least the early 2000s, natch.

Of course, there is a lot of period-correct software you can install, such as Adobe Photoshop 5, MS Office 97 (featuring everyone’s beloved Clippy), but a lot of modern software also runs, with the Retro Systems Revival blog documenting many that still run on Win98SE in some manner, including Audacity 2.0. This makes it totally suitable for basic productivity things.

YouTube in Netscape 4.5 on Windows 98. (Credit: Throaty Mumbo, YouTube)
YouTube in Netscape 4.5 on Windows 98. (Credit: Throaty Mumbo, YouTube)

Gaming on Win98 is naturally limited to games from around that early 2000s time period or before, but the gaming library even for just Win98 and MS-DOS is pretty massive, so as long as you’re fine not playing the latest and greatest games, this is also pretty easy.

Where things get dicey is of course with using the modern Internet, as you need a modern browser and support for the latest TLS encryption features to not have many websites throw a hissy fit. Using Frog Find and similar proxies that target retro computing help here, fortunately.

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Previously we covered ways that you can use Discord even on Windows 95 and Windows NT 3.1, others have ported .NET applications to Windows 9x, got Win98 up and running on a 2020-era system, and you can totally use modern YouTube in even the Netscape 2.x browser using an NPAPI plugin.

Although there are many arguments to be made for using at least a Windows version with an NT kernel over the 9x one, it’s hard to deny that software Back Then™ was less complex, less resource-hungry and still got all the things done. Maybe it is worth another look, before the AI Crisis forces us all back on Windows XP systems like the one featured in this video.

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Anthropic says it will sue Pentagon over supply chain risk label

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The clash centers on two red lines Anthropic refused to drop during negotiations with the Department of Defense: using Claude for mass domestic surveillance of Americans and for fully autonomous weapons. Anthropic says those carveouts are narrow, reasonable, and have not affected any government mission to date. The Pentagon disagreed.
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Experiment With The Pi Camera The Modular Way

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The various Raspberry Pi camera modules have become the default digital camera hacker’s tool, and have appeared in a huge number of designs over the past decade. They’re versatile and affordable, and while the software can sometimes be a little slow, they’re also of decent enough quality for the investment. Making a Pi camera can be annoying though, because different screens, lenses, and modules have their own mounting requirements. [Jacob David C Cunningham] has a solution here, with a modular Raspberry Pi camera, as an experimentation platform for different screens and lenses.

It takes the form of a central unit that holds the Pi and its support components, and front and rear modules for the screens or displays. Examples are given using the HQ and non-HQ modules, as well as with round or rectangular displays.

When designing a camera for 3D printing it’s a very difficult task, to replicate or exceed the industrial design of commercial cameras. Few succeed, and we’d include ourselves among that number. But this one comes close; it looks like a camera we’d like to use. We like it.

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Rethinking And Refreshing Techdirt’s Weekend Posts: We Want Your Feedback

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from the working-for-the-weekend dept

For many years now we’ve had two regular posts that come out on the weekends: our This Week In Techdirt History posts on Saturdays, and our Funniest/Most Insightful Comments Of The Week posts on Sundays. Sometimes we switch it up a little bit, replacing the history post with a special promotion or (as will be happening again soon!) with our Winner Spotlight posts for our annual public domain game jam.

This has been rolling along smoothly and we don’t plan any major changes, but we occasionally discuss whether there are tweaks we should make, and since I’m on vacation this week (and thus not around to write today’s comments post) we thought it would be a good time to check in with our readers and find out what you think.

In general, the weekend posts don’t get a lot of traffic, though that’s never been our reason for doing them anyway: they are for our community of commenters and long-time readers who we know appreciate them. Nevertheless, the relatively small audience for these posts is why we try not to expend too much time and effort creating them every week, as we’re all very busy around here and there are always a lot of projects on the go!

So with that in mind, we want to know: do folks like these posts? Is there stuff we can do to improve or refresh them going forward? Is there something else entirely you’d like to see as a weekly feature? Sound off in the comments, and we’ll be discussing the possibilities over the coming weeks.

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There’s one change that we’ve already talked about and will likely be rolling out after the upcoming run of game jam winner spotlight posts: since Techdirt’s history has grown so long, and since frankly nobody wants to be repeatedly confronted with the fact that 2021 is already five years behind us, we’re going to ditch the “five years ago” section in the history round-ups and instead look at posts from ten, fifteen, and twenty years ago. Next year when we celebrate our 30th birthday, we might even change that up again to ten, twenty, and thirty year sections. Reaching further back just seems more fun and interesting than reminiscing on the recent past.

Also on the history posts, there’s a question I’d love some reader feedback on: is the “paragraph format” with a brief summary of some posts from the week worth keeping? Or would it be just as good (perhaps better) to go with just a bullet-list of selected headlines? Or something else?

As for the comments posts, these are our longest-running and most important tradition, as we’ve always valued our community of commenters and we want to highlight your contributions. However, as you know if you read them every week, lately it’s often been a struggle to populate the “funny” side of the list, and admittedly the quality of the Editor’s Choice selections can vary a lot, as it depends on how much time we (and especially I) have had to follow and engage in the comments on a given week.

So again we want your feedback: should anything change about the comment posts? Should we pivot away from Editor’s Choice and instead feature the top three winners-by-vote in each section (maybe retaining a single Editor’s Choice comment on each side, or just one for the week?) And how should we handle it when it’s a slow commenting week and there just aren’t enough highly-voted comments to make a post? (On especially slow weeks on the funny side, sometimes the “winners” are really just the chance recipients of a trickle of idle votes, and not really comments that make any sense to feature).

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There’s also a similar question about the comments posts as there was about the history posts: is the brief written summary (in which I try to explain the context of a comment if and when it’s absolutely necessary to understand the comment itself) worthwhile? Or would a more dry bullet list that simply quotes and links to the winning comments and their authors suffice, leaving readers to go check out the full context as they wish?

Beyond these specific questions, we’re open to any and all thoughts on how the weekend posts should change (if they should change at all) and suggestions about anything else you might like to see. We’re not in a rush to make any changes, but it’s worth getting the conversation started. Let us know in the comments. (And if any suggestions are especially popular and get lots of votes, maybe they’ll turn up in next week’s winning comments post!)

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