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Submission + - Alan Turing developed a portable voice encryption device (popularmechanics.com)

smooth wombat writes: Alan Turing, one of the more famous people who worked at Bletchley Park to decipher the German Enigma coding machine, was also working on a separate project. His private papers, known as the Bayley papers for his assistant Donald Bayley who held onto the papers until his death in 2020, reveal Turning had produced a working model of a portable voice encryption device. He even demonstrated it by using a Winston Churchill speech recording.

“Weighing just 39 kg, including its power pack,” Copeland summarizes, “Delilah would be at home in a truck, a trench, or a large backpack.”

Turing’s work at Bletchley Park actually informed the Delilah experimentation he was doing at Hanslope Park, and not just because he used Red Forms, the Army-issue sheets Hanslope staffers were meant to use to alert Bletchley staffers to enemy signals, as his personal scrap paper for Delilah experiments. He drew inspiration from one of the German cipher machines they had decoded at Bletchley; not the famed Enigma machine, but rather the SZ42. While the former relied on Morse Code, the latter utilized a 5-bit telegraph code, which Copeland notes “was a forerunner of ASCII and Unicode and is still used by some ham radio operators.”

The SZ42 produced an obscuring key of telegraph characters, with an identical key produced to both the sender and receiver. If it could be done for text, Turing reasoned it could be done for sound as well.

This is the part of the story where one might say “Well, I’ve never heard of Alan Turing’s voice encoder, so the experiments must have failed.” But remarkably, they didn’t. Turing and Bayley actually did create their Delilah, and even demonstrated it using a recording of a Winston Churchill speech, “successfully encrypting, transmitting, and decrypting it.”

Instead, the reason Delilah fell to the wayside of history isn’t because it was a failure, but rather because it simply wasn’t needed anymore. By the time Turing had built and demonstrated his device, the war was over. What good was a portable voice encryptor if you had no major enemies trying to intercept your calls, the government reasoned. So funding for the project stopped, and Turing’s two-year experiment ended with a whimper. Turing’s time as an electrical engineer at Hanslope Park became a footnote in his story, if even that.

Comment Re:What Line of Work Is He In? (Score 0) 61

since 2023, helping Harrell communicate naturally, control a computer, and return to full-time work

Exactly what job does he hold that he can perform under these conditions?

Apparently a support person for AOL. Fox six weeks my dad has lost access to his email because their system screwed up something, and for six weeks all I've heard from them is reading from a script. No help, no escalation, no nothing.

With their IPO coming up, I'm about ready to go to the media and lay out how incompetent they are. Let the investors know what a shit show they're getting involved with.

Yes, AOL mail still exists. He was moved over from his ISP's email to them a while back. It's simple and does all that he needs at his age.

Comment Re:Any Evidence? (Score 3, Interesting) 110

Also, what would Russia and Iran be spending them on?

Have to pay your troops. Or in Russia's case, bribe people to enlist then pay out when they're killed the next week.

Also have to pay the companies making your guns, drones, and ammunition. Or, in Russia's case, paying people to put out fires at their oil refineries which keep going up in flames.

Comment Re:I don't buy the assumptions (Score 1, Interesting) 50

"the probabilities of all possible outcomes of an event add up to 100%

Many Worlds Interpretation.

the laws of physics are consistent for observers moving at different speeds

Why wouldn't they be consistent? Do the orbits of the planet change whether you are on the Vogager probes or standing on Earth? Does a drop of water form a sphere differently on the ISS than in the Vomit Comet? If the laws of physics changed dependent on one's speed, the universe would be truly fucked.

Comment Here's how stupid this all is (Score 1) 55

Dell's stock rockets 32% because they're selling more AI-related servers than ever before. However, the only reason they are selling more AI-related servers than ever before is because of Nvidia, yet Nvidia's stock has barely inched upward in months. These two situations cannot both be correct

If Dell is selling servers out the wazoo because of Nvidia and its stock soars, then Nvidia must also be sellling GPUs out the wazoo and its stock shoulld likewise soar. Saying we're at peak AI which is why Nvidia can't go higher makes no sense. It has consistently blown past every financial analysts expectations for the past two or three years. Dell's recent server spike is proof of this. If you think we're at peak AI then Dell shouldn't be anywhere near the price it's at now.

Submission + - Researchers identify people through ordinary Wi-Fi with 99 percent-accuracy (tomshardware.com)

Baron_Yam writes: Security researchers at the Karlsruhe Institute of Technology (KIT) in Germany have published a paper demonstrating that unencrypted beamforming data broadcast by Wi-Fi devices during normal operation can be used to identify individuals walking through a room with 99.5% accuracy, regardless of whether the individuals are carrying Wi-Fi devices. The tactic leverages the router's beamforming tech to identify individuals with up to 99.5% accuracy, and it works with existing routers, too.

The system, called BFId, requires no specialized hardware, no access to the target Wi-Fi network, and works even if the person being tracked isn't carrying a wireless device. The team tested the attack on 197 participants, the largest dataset ever used in Wi-Fi-based identification works, and plans to present its findings at the ACM Conference on Computer and Communications Security (CCS) in Taipei.

See GitHub — https://github.com/ruvnet/RuVi... — for your own personal implementation requiring a couple of APs and a couple of ESP32 nodes. You can get full-home per-zone motion and occupancy detection fairly reliably, with the potential for pose detection and in optimal areas even respiration rate. With the right hardware and configuration, you can theoretically get heart rate too.

Submission + - Teachers' Union Urges Schools to Curb AI Chatbots and Screen Time

theodp writes: The New York Times reports the $22.5 million AI partnership to 'bring AI into the classroom' struck last July between the American Federation of Teachers (AFT) union, Microsoft, and OpenAI has hit a bump in the road as the AFT urges schools to curb AI chatbots and screen time, recommending 'no screens' at all for those in second grade or younger, and no AI chatbots for students in elementary school.

The union’s effort reflects a backlash among parents and educators against heavy use of school-issued laptops and apps. Some parents and nonprofit children’s groups are also pushing back against campaigns by tech giants like Google and OpenAI to spread their AI products in schools.

This week, AFT president Randi Weingarten said that the union was negotiating safety and privacy standards for AI use in schools with 'our partners in the AI academy,' and that Microsoft, OpenAI and Anthropic had agreed in principle to those standards. “We’re being transparent,” Weingarten said, adding that "We’re willing to walk away from the funding that we receive here if we don’t get the safety and privacy."

Submission + - The oral tradition that built software may not survive AI (fastcompany.com)

smooth wombat writes: Writing software is not just about knowing what to code. Verbally passing on knowledge of why something is done one way or the other, how to diagnose an issue, or what changes took place after implementation because no one documented those changes has been part of programming since day one. However, with the advent of AI, that institutional knowledge may be under threat.

It’s tempting therefore to imagine that generative AI will step into the breach and solve this for us. After all, even if you don’t want to turn a large language model (LLM) loose on a legacy code base—and there are plenty of reasons that you shouldn’t—having it generate documentation on the codebase itself might sound like a solution to the absence of other written information. LLMs can certainly summarize code back to you.

But hold up with that idea. Beyond hallucinations, there’s a deeper problem: Writing documentation is itself part of the thinking process. Whether I’m writing history or software, putting an approach into words helps refine it before I sink hours into implementation. Documentation also captures intent. An LLM may be able to summarize what a codebase does, but it cannot reliably explain why a developer chose one approach over another, or what trade-offs shaped that decision.

Moreover, it’s a chance for somebody else to understand why you did what you did. If they plan to change what I wrote (especially in a few years), they might understand why I needed to write it that way and what might be lost if you take it out. An LLM can read code that I’ve written. It might even scan a large codebase and accurately summarize what it’s doing. But it can’t assess authorial intent.

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