However you feel about AI writing, it has a few giveaways. According to the writer Imogen West-Knights, “there’s things like negative parallelisms…or excessive use of metaphor and similes, especially ones that don’t quite make sense or that come very rapidly, one after another. Every noun having an adjective attached, certain kinds of repetitive syntactical blocks that appear.”
Tech
Is it possible to tell if a book is written by AI?
So naturally, when an author uses AI to write their book, the publishing industry can easily spot it, right? As it turns out, not necessarily. AI models are built using human writing, the good and the bad, which is why it can be hard to tell whether something was written by a chatbot or by a person who loves a bad metaphor. The problem is all the more acute with smaller fragments of text, where there’s less room for AI’s telltale patterns and flatness to emerge.
To find out just how good AI has gotten at imitating human writing, the writer and journalist Vauhini Vara decided to run an experiment on the people who know her writing the best. She thinks there is a misconception among writers and readers that “there’s a certain kind of way that AI generates language and it’s super different from the way writers do.” So could her friends distinguish between her work and an AI-generated imitation of her work? She told Today Explained co-host Noel King about what happened next.
Below is an excerpt of their conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.
Nothing we love more at Today, Explained than a person running an experiment on herself! Vauhini Vara, writer, journalist, author of Searches, in paperback now, tell me everything.
There’s a researcher named Tuhin Chakrabarty whose work I’ve covered before, and he had already conducted this experiment. He and colleagues basically trained AI models on the work of established, accomplished writers.
What that means is he basically got the AI model to generate language that looked a lot like language from those authors. And then he had readers who were graduate writing students read those passages generated by AI and also read imitations by fellow graduate writing students and say which one they liked better. And they tended to like the ones by the AI models more than the ones by actual human beings.
I had him do the same thing with my work, but a twist on it. I had him train an AI model on my three previous books, on pieces of journalism I’ve written. And then I had him get his AI model to generate passages sounding like something from a forthcoming novel that I haven’t published yet or shared with anyone. I put that alongside passages that I had written. I sent those to people who know my work really well. I’m talking about my best friend since I was 13, writer friends who I’ve known since I was 19, 20 years old. And I asked if they could tell the difference and none of them could.
So the people who know you best in the world don’t know you that well, apparently. Or AI is exceptionally good at what it is doing. Give me some examples of what happened here. Can you read me something that you wrote and then something that the AI wrote, and let’s see if I can tell any differences?
It’s funny, I can’t remember now which ones are mine and which ones are the AI!
Gaia said, it seemed to her that we’d been on similar trajectories. We’d both spent many years creating something that we cared deeply about with my journalism. She with her startup, and then gone on to focus on empowering others to do the same. She said she’d been surprised to find that mentoring other founders was even more meaningful than running her own startup In business terms, the ROI was higher if you were willing to count fulfillment as a return.
That’s nice. I like that. Yeah, I would say as writing, that was nice. Beginning, middle, end, lands on a point. I enjoyed it.
That one was actually AI.
Damn. AI, you landed in such a nice spot. Okay. Read me something that you wrote, please.
Okay, now we have a spoiler that I’m going to read you something, something from me.
I’d like to argue that we write because we feel compelled to no matter whether anyone will read them, but is that true? When I was younger, I used to keep a journal for myself. I didn’t want anyone else to ever read it, which meant I didn’t need to describe the people in places I was writing about or explain why they mattered. When my mom did read my journal in the ninth grade, I considered it the biggest betrayal I’d ever experienced. But the saving grace was knowing that she could not have possibly understood most of what I was writing about. I had an audience of one myself.
I don’t know — I set you up to say that!
No, no, no. Actually, you didn’t. I would be very honest and I did sort of want to curveball you, but that was very pretty. Do me a favor, read the first two sentences of what you wrote one more time for me.
I’d like to argue that we write because we feel compelled to no matter whether anyone will read them, but is that true?
What is the “them” referring to?
It’s an error! It’s a grammatical error on my part. And good job catching it because a lot of people assumed that one was AI, and I think the best indication that it was actually me is that there is that grammatical error. AI wouldn’t have made a grammatical error like that.
This is the thing that I would like us to talk about: AI does not make mistakes. And in the first half of the show, our guest, also a writer, described AI as kind of soulless. And I think that was part of what she was pointing to.
What you read me by the AI wasn’t bad. So here’s a question for you: When all this was said and done [and] people could not tell what was you — people who know you well — how did you feel about that? Did you feel threatened? Did you feel suspicious of your friends and family?
I was of two minds, because on the one hand I didn’t feel threatened, but I found myself questioning my own assumption about myself, which is that I identify as a writer who is very invested in originality, who really wants every new book to be completely different from the previous books. And so the fact that this AI was trained on my previous books and could predict the style of the writing in the new book suggested that I wasn’t as original as I thought that my new book wasn’t as different from the previous books as I thought.
At the same time, on the other hand, I actually felt vindicated because I disagree with the other author who was your previous guest about the soullessness of AI-generated text. I don’t think that AI-generated text is by definition easily distinguishable from human text because of a kind of soullessness inherent in the text.
Can readers tell something that is AI versus something written by a human?
It seems like they can’t, and I can’t myself. And this actually gets back to what we were discussing earlier about the question of whether AI generated text is convincing or soulless.
I think the reason a lot of people assume AI writing is going to sound soulless is that AI companies, in their most recent versions of their products, have created these products that are specifically designed to sound a certain way, a certain kind of corporate customer service speak. And so people think that’s just inherently the way AI sounds, but it’s not true. AI can sound any number of ways.
It’s technically very easy actually to build an AI, to train an AI model that sounds human-like even literary. The reason we’re not that familiar with it is that that’s not what the products look like currently.
Ultimately, do you think AI is going to end up changing our relationship to literature, or do you think everybody who reads is going to be as skeptical and skeeved out as you and I are?
Research shows not only that in some cases people prefer AI-generated text to a human-generated text, but also that if they’re told that a piece of text is AI-generated, they become uninterested in it. And so it seems clear that the reading public does not want to read text generated by AI if they know that it’s generated by AI.
I think we focus a lot on this human/technology binary — on, “‘Oh, it’s weird if a machine creates the language.” But I think a big part of it is that we want to be communicating with one another. We don’t want to be receiving our art from enormous tech companies that have a lot of wealth and have a lot of power and want to control us.
Tech
How One Builder Made an Arduino Tortoise Bot Seven Times Bigger and Kept It Fully Operational

Arduino projects often involve small robots that roll forward and steer clear of walls using basic sensors. Maker UncleStem decided to push that familiar idea into uncharted territory by enlarging every part of a classic turtle-style design by a factor of seven. He had just wrapped up work on a matching seven-times-larger Arduino Uno board and wanted a project that could put the oversized microcontroller through its paces. A tortoise bot offered the perfect match because the original small version already relies on straightforward code and simple hardware.
Construction began with motors sourced from children’s ride-on toys. Anyone who has experimented with ordinary turtle bots knows that those tiny hobby motors can’t keep up; twenty-four-volt ones from children’s ride-ons, on the other hand, provide a lot more power. UncleStem devised a brilliant solution: bespoke shells that slide perfectly over the motors, giving the overall appearance of a scaled-up version of the originals. The laser-cut plywood required special attention, so UncleStem hired a professional to make the cuts on a large sheet of 1mm thick acrylic. Any workshop cutter would have been unable to handle such large materials.
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The wheels, which came straight from the lawn equipment supplier, are actually very smooth beneath the robot’s heavy chassis. Three-dimensionally printed hubcaps round off the look, keeping the enormous concept consistent across all visible components. Control is centered on a gigantic Arduino Uno designed by UncleStem. A regular old Arduino Nano is stashed away inside the main board to conduct all of the real processing and code execution. The gigantic jumper wires were made of metal rods because there are no commercial versions available at this scale.

The motor driver board is essentially a larger L298N setup, but it’s mounted on a three-layer plywood board and powered by a 300 watt driver capable of handling big motors. There is also a small voltage regulator that reduces the power to 5 volts for the Nano. Sensors required the same level of attention, as the ultrasonic distance module is disguised behind a dummy outer shell to maintain detection range while the robot appears to have been scaled up (parked in its own small printed housing that looks just like the mini-part). Navigation works exactly like the usual turtle bot formula. The robot just continues straight ahead until it collides with something in front of it, at which point it stops and swings the sensor left, center, and right to find the widest open path before turning in that direction and continuing.
[Source]
Tech
After Stumbling From CVE To CVE Will Linux Get A Kill Switch?
For the few people who have spent the past weeks living under a security rock, the Linux kernel has found itself the subject of multiple severe bugs in the form of Copy Fail and Dirty Frag, both of which allow for privilege escalation. They’ve made many people very upset, and also potentially put many thousands of systems at risk of exploitation. Worse is that system managers are generally left to twiddle their thumbs while waiting for patches to be rolled out. This is where NVIDIA engineer [Sasha Levin] has proposed a ‘kill switch’ for affected kernel functions.
The basic concept seems rather simple, with this feature merely intercepting a call to the affected function and instead returning a predefined return value. This makes it less extreme than hitting a general SCRAM button on the entire kernel, and could theoretically allow the affected systems to keep running until the patched kernel becomes available.
A disadvantage of this is that it obviously modifies the kernel, patching it in-memory so that you need to reboot the system to clear it. Another potential disadvantage is that it opens a potentially massive attack vector, with people in the Cybersecurity sub-Reddit roundly rejecting the idea. Amidst all the other anxious conversions there is also the concern that this particular patch was at least partially generated by an LLM (Claude Opus 4.7) , so one may hope that if it does gets merged into mainline it’ll at least be properly vetted by multiple pairs of well-caffeinated human eyes.
Tech
Today’s NYT Strands Hints, Answer and Help for May 17 #805
Looking for the most recent Strands answer? Click here for our daily Strands hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections and Connections: Sports Edition puzzles.
Today’s NYT Strands puzzle was a fun one for me, but then, I get a huge kick out of the game that is today’s topic. Game? Sport? I guess it’s both, depending on your dedication level. Some of the answers are difficult to unscramble, so if you need hints and answers, read on.
I go into depth about the rules for Strands in this story.
If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.
Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far
Hint for today’s Strands puzzle
Today’s Strands theme is: Strike one!
If that doesn’t help you, here’s a clue: Put your shoes on and start rolling!
Clue words to unlock in-game hints
Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints, but any words of four or more letters that you find will work:
- COAL, BOWL, RACE, RACED, DEAL, LEAD, BALE, SPIN
Answers for today’s Strands puzzle
These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers:
- PINS, BALLS, LOUNGE, LANES, ARCADE, SCOREBOARD
Today’s Strands spangram
The completed NYT Strands puzzle for May 17, 2026.
Today’s Strands spangram is BOWLINGALLEY. To find it, start with the B that’s two letters over on the top row, and wind over and then down.
Tech
An Entire Wikipedia That’s 100% AI Hallucinations
“Every link leads to an entry that does not exist yet,” explains the GitHub page for a Wikipedia-like site called Halupedia. “Until you click it, at which point an LLM pretends it has always existed and writes it for you, in the deadpan register of a 19th-century scholarly press…”
Every article is invented on demand. The footnotes are also lies… The hardest problem with an infinite, on-demand encyclopedia is internal contradiction… When the LLM writes an article, it is required to add a context=”…” attribute on every it inserts, summarising the future article it is linking to (e.g. context=”19th-century clerk who formalized footnote drift, Pellbrick’s mentor”)… When that target article is later requested for the first time, the worker loads the accumulated hints and injects them into the system prompt as “PRIOR REFERENCES — these are CANON”. The LLM is instructed that the encyclopedia is hallucinated and absurd, but it must not contradict itself.
Fast Company reports that Halupedia was created by software developer BartÅomiej Strama, who confessed in a Reddit comment that the site came about after a drunk night with a friend. In the week since launch, he says Halupedia has amassed more than 150,000 users.”
Beyond indulging in silly alternate histories, what’s the point of using Halupedia? Strama hinted at one larger purpose in a reply to a donor on his Buy Me a Coffee page: “Your contribution towards polluting LLM training data will surely benefit society!” he wrote.
The site is licensed as free software under the GPL-3.0 license.
Thanks to long-time Slashdot reader schwit1 for sharing the news.
Tech
Alienware’s first affordable gaming laptop couldn’t come at a better time
Alienware is finally stepping into budget territory with the Alienware 15, its first properly affordable gaming laptop in decades.
Honestly, the timing couldn’t be better. With gaming hardware prices climbing across the board, this feels like Alienware responding directly to where the market is heading.
The Alienware 15 starts at $1299, which gets you an AMD Ryzen 5 220, 16GB of RAM, 512GB SSD storage, and an NVIDIA RTX 4050 GPU. There’s also an Intel option with a Core 5 210H chip for $1349. In select regions, a lower RTX 3050 variant will be available. That’s a solid entry point for modern 1080p (and beyond) gaming.
The laptop uses a 15.3-inch 1920 x 1200 display with a 16:10 aspect ratio, a 165Hz refresh rate, and 300 nits of brightness. It’s not trying to be flashy, but it covers the basics well enough for smooth gameplay.
Connectivity is another strong point – you’re getting two USB-C ports, two USB-A ports (all USB 3.1 or better), HDMI 2.1, a headphone jack, and even an Ethernet port. Notably, that’s still surprisingly rare in thinner gaming laptops.
Design-wise, Alienware has clearly dialled things back. Instead of the usual RGB-heavy aesthetic, the Alienware 15 comes in a more understated nova black finish. There is a simpler iridescent logo, It’s also slim at under an inch thick. This is thanks to a design that avoids the bulky thermal shelf seen on higher-end Alienware models.
There are also a few smart usability touches here. A full numpad makes it more useful for productivity, while a Stealth key lets you instantly disable lighting and switch to quiet performance mode. That’s handy if you’re using it in class or a shared space. Inside, there’s also room to upgrade. There is a second SO-DIMM slot for adding more RAM later.
It’s not perfect. The webcam is limited to 720p at 30fps, which won’t impress anyone relying on video calls, and there’s no microSD card reader. However, those feel like understandable trade-offs at this price point rather than deal-breakers.
Overall, the Alienware 15 should be a meaningful shift for the brand. Instead of chasing extremes, it’s just offering a more accessible way into serious PC gaming. This comes at a time when affordability actually matters again.
Tech
AWS targets AI slop with new spec check in Kiro coding tool, amid scrutiny of agent reliability

Amazon Web Services is adding a feature to its Kiro AI coding tool designed to mathematically prove that software requirements are free of contradictions and gaps before any code gets written, addressing one of the core risks of AI-assisted software development.
The feature, called Requirements Analysis, is designed to catch the kind of bugs that can often be the hardest to spot and most expensive to fix — problems that start not in the resulting code but in the initial requirements that define what the software is supposed to do.
The announcement Tuesday morning comes three months after Amazon publicly pushed back on a Financial Times report that its AI coding tools contributed to AWS outages, an episode that highlighted the risks of giving AI agents too much autonomy in software development.
It also comes a day after AWS hired former Microsoft exec Shawn Bice to return to Amazon as VP of AI Services leading its Automated Reasoning Group, the team behind the new feature. Bice will report to Swami Sivasubramanian, Amazon’s VP of Agentic AI.
Requirements Analysis combines large language models with an automated reasoning engine called an SMT solver. The LLM translates natural-language requirements into formal logic.
The solver then checks those requirements by mathematically proving whether they contradict each other or leave gaps that could be filled in erroneously by the AI coding tool — a common problem as AI increasingly generates software faster than developers can review it.
“Every vague prompt produces a vague spec or plan, and the AI agent implementing that spec produces code full of undisclosed decisions made on your behalf, without your awareness or agreement,” wrote AWS applied scientists in a blog post accompanying the news.
Kiro competes in a crowded and fast-growing market for AI coding tools that includes Cursor, GitHub Copilot, Anthropic’s Claude Code, Google’s Antigravity, and OpenAI’s Codex.
While those tools have increasingly added planning and agent workflows alongside code generation, Kiro has built its identity around a spec-first approach that requires developers to formalize their intent before the AI starts building.
AWS also announced two other Kiro features designed to speed up the development process.
- Parallel Task Execution runs independent coding tasks concurrently rather than sequentially, cutting implementation times for large projects by roughly 75 percent, according to the company.
- AWS says a new Quick Plan mode lets developers skip the step-by-step approval process for well-understood features, generating a full set of requirements, design, and tasks in one pass.
PREVIOUSLY: Amazon’s surprise indie hit: Kiro launches broadly in bid to reshape AI-powered software development
Tech
US Army explores strange alternative protein meals for soldiers as battlefield rations may turn into futuristic food experiments
- US Army seeks lighter rations to reduce battlefield logistical burdens significantly
- Gel and powder meals under review for combat ration development
- Insect and lab-grown meat excluded from current Army study
The US Army wants to change what soldiers eat during combat operations through a new source sought announcement.
The military branch is asking for help developing alternative protein technologies for field rations in the near future.
The stated goal is to create lightweight and nutrient-dense meals that reduce logistical burdens on individual troops.
Lightening combat rations
Anyone who has carried heavy MREs on a long march understands why lighter rations matter for survival – however the proposed delivery formats do not sound particularly appetizing to anyone who has eaten military food before.
The military is seeking innovative technologies like fermentation and other biomanufacturing methods for alternative protein production.
Meat alternative products could eventually join the standard MRE lineup for soldiers operating in combat zones.
The Army also wants comprehensive consumer research to understand what troops will actually eat under field conditions.
Food samples will go to government taste testers for evaluation of sensory acceptability and other performance characteristics.
“Gel/semi-solid formats, dry powder mixes, [and] sauce-style components” are all under consideration for future ration components.
The Army explicitly excludes cell-cultured lab-grown meat and insect protein from this particular announcement, so soldiers will likely appreciate that there will be no bugs in their immediate future of military dining.
Past MRE preferences might predict future success or failure
Vegetarian MRE options from twenty years ago were surprisingly popular among soldiers who normally ate meat without any hesitation – perhaps as those meals replaced the usual military mystery meat with something far more appealing to eat out of a sealed envelope.
Soldiers chose those vegetarian rations not for ethical alignment with any personal philosophy about animal products – but simply wanted a meal that did not taste terrible after a 15-mile march with heavy gear on their backs.
This same logic will apply to any future alternative protein ration that the Army develops for field use.
If a fermented mushroom gel or a dry protein powder tastes bad, no soldier will eat it regardless of its logistical benefits.
The Army’s current research into gels, sauces, and semi-solid formats must prioritize palatability above every other technical requirement.
Beef frankfurters and compressed meat loaves earned a famously bad reputation among soldiers who served in the early 2000s.
The Army should learn from those failures before asking troops to swallow unholy shakes or fermented fungus from a pouch.
A lighter ration is useless if soldiers throw it away and march on an empty stomach instead.
The veteran’s perspective matters here because past behaviour predicts future behaviour under similar stressful conditions.
Soldiers will always choose the least terrible option available, regardless of what food scientists think sounds innovative or efficient.
Via The Register
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Tech
Appeals Court Upholds Block Of ICE’s BS ‘Seven Day Notice’ Detention Center Inspection Policy
from the must-be-hiding-something dept
Something that never was a problem for years suddenly became a thing after Trump’s return to office. As his administration ramped up its cruelty towards non-white people, Democratic leaders suddenly became much more interested in seeing how ICE was handling this influx of detainees.
Not that they were wrong to do so. The history of ICE detention is extremely ugly, with detainees regularly treated like the subhumans ICE (and their subcontractors) seem to believe these human beings are. But with ICE and the DHS making all the wrong kinds of headlines as the administration carried out its racial cleansing programs, DHS started to pretend congressional members were no longer allowed to perform inspections of ICE detention facilities.
In some cases, this refusal to comply with the law resulted in the arrest of politicians trying to engage in their legally ordained oversight duties. When that intimidation failed to stem the flow of congressional reps to ICE facilities, DHS started issuing its own limitations on inspections — exactly zero of which were supported by current law.
Kristi Noem issued “guidance” last year pretending that Trump’s budget bill freed ICE from having to open their facilities to congressional inspection. Noem’s theory was that while normally DHS couldn’t make congressional reps give ICE 72 hours to seven days advance notice of inspections, the “Big Beautiful Bill” concocted by the GOP created pathways for pretending existing law didn’t exist.
That guidance specifically noted the DC Appeals Court had already ruled against the DHS by stating its current demands for advance notice were “inconsistent” with existing law. No doubt we’ll see similar misleading “guidance” issued by the DHS again in the near future as the DC Appeals Court has (again) rejected the government’s attempts to violate the law while litigation over these new policies continues.
A federal appeals court on Friday required the Trump administration to continue allowing lawmakers to inspect immigration detention facilities without advance notice, ruling unanimously that the impromptu visits posed minimal problems for the government.
The decision by a three-judge panel of the Court of Appeals for the District of Columbia Circuit preserved, for now, the ability of Democrats in Congress to make unannounced visits to detention centers and check on the conditions inside.
The one-page order [PDF] (and its 10-page explanation by Judge Rao) is inexplicably absent from the New York Times reporting. But it’s embedded below (and linked above).
Judge Rao says the government does have some interest in controlling access to its facilities for several, mostly credible reasons. But its belief that these concerns override existing law allowing congressional inspections is misplaced.
The government is entitled to deference on how it maintains the security of detention facilities, but the current record does not substantiate the government’s claim that oversight visits without advance notice impose harms beyond administrative inconvenience. While a close call, particularly because of the strong likelihood of success on the merits, I concur in denying a stay.
As Noem pointed out in her memo, the Big Beautiful Act created a flow of funding that was (theoretically) outside of the purview of existing appropriations laws governing ICE facility inspection. This order points out that this is no longer the case as that particular rider attached to the Act lapsed along with the rest of the DHS’s funding during the shutdown. The dead rider has not been re-attached, so the DHS’s insistence this means this particular funding can be used to thwart congressional oversight isn’t exactly a foregone conclusion.
That’s not to say this decision will ultimately lead to the DHS abandoning its demands for advance notice before inspections. While the government has failed to show it will suffer irreparable harm if congressional reps are allowed on-demand access to detention facilities, the plaintiffs here are legislators — people who aren’t generally allowed to sue the same government that employs them to obtain relief.
Judge Rao says the administration is likely to emerge victorious because the Democratic congressional reps don’t have standing. But that doesn’t mean the government has presented solid arguments about its own interests in denying access to detention facilities.
The government has credibly alleged inconvenience and disruption caused by congressional visits. But the government has not shown that these harms arise from congressional visits undertaken without seven days’ advance notice, as opposed to congressional visits generally. The government cites a single security incident involving the unauthorized presence of the Mayor of Newark in the secured area of an ICE facility and the alleged obstruction of the Mayor’s arrest by Representative McIver. But the government does not explain how this incident resulted from a lack of prior notice of the Representative’s oversight visit.
To be sure, the mayor of Newark is not allowed to access ICE facilities without advance notice or explicit permission. But that doesn’t extend to everyone else ICE wishes to keep out of its facilities — a list that seems to include every congressional rep that actually might want to perform an inspection.
In addition, this never used to be a problem. The Appeals Court isn’t convinced that it’s suddenly a problem now, just because this version of the DHS wants to pretend it is.
By contrast, the Members have provided numerous declarations attesting to congressional visits made with less than seven days’ notice that were conducted without incident since 2019. The government does not meaningfully dispute these accounts and responds only that the pending litigation incentivizes the Members to conduct their visits in a nondisruptive manner. Even if that is true, this pending appeal will continue to provide the same incentives for good behavior.
For now, congressional reps don’t need to give ICE a heads up before engaging in an inspection. That may change (at least temporarily) if the administration can show these congressional reps don’t have standing to pursue this litigation. But we can hope that any final dispensation of this case only grants the administration its argument about standing. The law is still the law, no matter how the DHS might feel about the law. When this all wraps up, the status should be reset to quo: Congressional reps have a legal right to inspect facilities without advance notice. Everything else is just mud in the water.
Filed Under: accountability, congress, dc circuit, dhs, ice, oversight, trump administration
Tech
Campfire’s Chimera is a hybrid of premium headphone sound
Campfire Audio has built its most complex in-ear monitor to date with the Chimera, a nine-driver flagship IEM that like the figure from Greek mythology that it’s named after, combines many elements, including dynamic, balanced armature, electrostatic, and bone-conduction drivers.
These drivers are all housed inside a single CNC-machined magnesium shell, which is hand-assembled at the brand’s Portland, Oregon facility.
The drivers look to divide responsibility across the frequency range, with a newly developed 10mm True-Glass dynamic driver covering low and low-mid frequencies. A dual-diaphragm balanced armature handles the midrange, with two dedicated high-frequency balanced armatures for clarity and articulation. Then there are four electrostatic super-tweeters that extend into the uppermost range for air and precision.
Alongside those eight conventional drivers sits a bone-conduction unit embedded directly into the magnesium shell, a first for Campfire Audio. It allows low-frequency energy to be felt physically through the shell as well as heard acoustically, adding tactile weight to bass content that a acoustic driver arrangement supposedly cannot replicate.


Internally, a pressure valve regulates airflow behind the dynamic driver while a final-stage tuning damper sits integrated into the nozzle, two components that work alongside Campfire’s acoustic routing to maintain coherence across a driver array that combines four different transducer technologies operating at the same time.
The shell pairs that magnesium body with a carbon fibre and brass Damascus faceplate, where layers of brass are folded into carbon fibre and then CNC-machined to produce a patterned surface that carries subtle variation between units, with the finish available in black and gold PVD variants.
Each Chimera ships with the ALO Audio Valence-6 cable, marking the reintroduction of the ALO Audio brand and features four high-purity copper conductors alongside two mixed copper and silver-plated copper conductors, finished with black anodised aluminium hardware throughout.
Pre-sale opens on 16th May 2026 ahead of an expected June shipping window, with the Chimera priced at £6,999 / $7,500, with limited initial quantities available worldwide.
Tech
Man who lost Bitcoin wallet password while high recovers $400,000 using Claude AI after 11-year lockout
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An X user with the handle cprkrn writes that he was locked out of his wallet over 11 years ago because he got stoned, changed his password, and forgot it.
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