David Keenleyside

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David Keenleyside

David Keenleyside

@Nuke_Bloodaxe

Writer, Programmer, Systems Administrator. BTC: 1LM7S9AYkoerbeeeti21rcH2jgHaZ6Rgjm

New Zealand Katılım Aralık 2009
449 Takip Edilen200 Takipçiler
David Keenleyside retweetledi
International Cyber Digest
International Cyber Digest@IntCyberDigest·
‼️🚨 Researcher "Nightmare-Eclipse" had their GitHub account flagged and wiped after publicly dropping zero-day PoCs targeting Microsoft products. In a message, they accuse Microsoft of deleting the account they used to report bugs (with zero payout for past disclosures). The signed message ends with a direct threat: "Mark this date July 14th, I will make sure your bones are shattered that day."
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Massimo
Massimo@Rainmaker1973·
Scientists in Japan have developed a groundbreaking treatment that could double the average lifespan of cats, extending it from around 15 years to nearly 30 years. The key lies in a protein called AIM (Apoptosis Inhibitor of Macrophage), discovered by Dr. Toru Miyazaki. While cats naturally produce AIM, they lack the ability to activate it effectively. This deficiency leads to the gradual buildup of waste in the kidneys, the leading cause of death in domestic cats. Dr. Miyazaki’s team created an injectable form of activated AIM that directly restores the kidneys’ natural cleaning function. In clinical trials, cats with advanced kidney disease showed dramatic improvement after treatment. The therapy works both as a preventive measure for healthy cats and as a treatment for those already ill. If approved, the treatment could revolutionize feline healthcare. Commercial rollout is expected to begin in Japan as early as 2025, with wider availability projected for 2027. The research has also sparked interest for its potential applications in human medicine, as the AIM protein plays a similar waste-clearing role across species.
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Costa Kapothanasis
Costa Kapothanasis@CostaKapo·
“We’re facing the largest supply shortage of lubricating fluids in the modern history of America. Realistic, middle-of-the-road estimates are for our average available supply in this product category to drop by 40%.” Internal AutoZone Memo
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Avi Roy
Avi Roy@agingroy·
Every plant on Earth runs on stolen technology. A cell swallowed a bacterium 1.6 billion years ago and kept it alive. That's where chloroplasts come from. Could we replay it? Put photosynthetic machinery back into animal cells, on purpose? In 1969, Margit Nass asked: what if we did it again, on purpose? She put spinach chloroplasts into mouse cells. They survived five days. She published it in Science. One author. Then the field walked away. Fifty years of nothing. This week, scientists at @NUSingapore put spinach chloroplasts into mouse eyes as eye drops. The corneal cells absorbed them and started photosynthesizing. Dry eye damage reversed in five days. Beat Restasis. Evolution's oldest trick just became a therapy.
nature@Nature

Photosynthetic machinery can be harvested from spinach and transplanted into the eyes of mice, where it transforms light into molecules that carry energy and can tame inflammation. go.nature.com/4nvHWNz

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tmuxvim
tmuxvim@tmuxvim·
I put a prompt injection into my LinkedIn bio and recruiters are messaging me in Old English and calling me Lord.
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David Keenleyside@Nuke_Bloodaxe·
On point, they've made a death spiral, and in turn they've attacked the ad revenue that drives them.
Ricardo@Ric_RTP

Google is making $62 billion a quarter destroying the websites it NEEDS to survive. This is literally a death spiral that ends with Google killing itself. Let me explain what's going on... Google added AI summaries to the top of every search result in 2024. When you Google something now, the answer sits right there on Google's page. You never have to click anywhere. Google took the information from someone else's website, summarized it, and kept you inside Google's ecosystem. The result: 60% of all Google searches now end without a single click to any website. Small publishers lost 60% of their traffic in one year. Medium publishers lost 47%. Even the biggest names in media, the New York Times, the Washington Post, Business Insider, all saw traffic fall between 22% and 55%. The Axios CEO called it "a referral extinction event for the ad-supported web." Google's response to all of this was to tell publishers they can "opt out" of having their content summarized. But opting out also REMOVES your description from normal search results. So the choice Google gives you is let us steal your content for free, or become invisible on the internet. That's extortion. The Washington Post laid off another round of journalists this year because of it. Stereogum, one of the most respected music publications on the internet, had to BEG readers for donations. Business Insider cut 21% of its staff. Dozens of smaller publishers have shut down entirely. The people who actually CREATE the information Google summarizes are going bankrupt while Google posts record revenue. But here's where this gets interesting and where everyone stops thinking: Google's AI summaries are only as good as the content they summarize. If the publishers who write the original articles, run the original investigations, and create the original data go out of business, there is nothing left for Google to summarize. The AI starts recycling old information, the answers get stale, the quality drops, and users start noticing that Google's summaries are increasingly wrong, outdated, or useless. Google is essentially strip-mining the internet for short-term revenue. They are extracting all the value from content creators without paying for it, driving those creators out of business, and then wondering why the quality of their own product is declining. This is exactly what Napster did to the music industry in the early 2000s: Made content free, creators went broke, and quality collapsed. It took a decade to rebuild. Google is doing the same thing to the entire internet at 100x the scale. Rolling Stone, Variety, Deadline, The Hollywood Reporter, and Billboard are now suing Google for antitrust violations. Chegg, the education platform, lost 49% of its traffic and is suing too. The UK's competition authority just ordered Google to let publishers opt out without being punished. The DOJ already ruled Google is an illegal monopoly. And Google's defense in court is genuinely unbelievable. They argue that publishers CHOOSE to let Google index their content and can leave anytime they want. That's like saying you choose to pay protection money to the mob because technically you could close your business and move to another city. Google controls 90% of search. Leaving Google means leaving the internet. Meanwhile Google is investing billions in custom AI chips to make these summaries cheaper at scale. Every quarter the problem gets worse. The internet as we've known it for 25 years ran on a simple deal: Publishers make content. Google sends traffic. Advertisers pay for the traffic. Everyone wins. But Google just BROKE that deal and kept all the money.

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James (Quel)
James (Quel)@james_quel·
@EnricPastor4 @TrisH0x2A @m_aggan Except even in 2003 many schools making computer science professors no longer even required C. Theoretical operating systems only. You had to hunt for schools with computer science derived from engineering instead of only math.
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trish
trish@TrisH0x2A·
MIT teaches operating systems by giving students a complete Unix like kernel and asking them to modify it it is called xv6 and is about 6000 lines of C a reimplementation inspired by Unix Version 6 from 1975 rewritten in modern C for x86 multiprocessor processes system calls virtual memory and filesystem are all there and small enough to read end to end in a weekend this is what you study to understand how operating systems actually work not just how they are described
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David Keenleyside@Nuke_Bloodaxe·
Interesting, we'll have to see how quickly this is deployed
Owen Lewis@is_OwenLewis

This is actually huge news. Well on the way to more easily dealing with radiation in space. Korean scientists just created an ultra-thin radiation shield: thinner than a human hair, stretchy like rubber, and highly effective against both electromagnetic waves and neutron radiation. The new composite material blends carbon nanotubes (for blocking electromagnetic waves and conducting heat/electricity) with boron nitride nanotubes (excellent neutron absorbers). Even at minimal thickness, it blocks 99.999% of electromagnetic waves and cuts neutron radiation by ~72%. The material is extremely lightweight, flexible (stretches to double its length), and easily 3D-printable into custom shapes (honeycomb patterns boost shielding performance by an extra 15%). And, it performs well across a variety of extreme temperatures and environments. Lead researcher Joo Yong-ho explained: “This material represents a completely new concept in shielding technology — it is as thin as tape and as flexible as rubber, yet simultaneously blocks both electromagnetic waves and radiation.” Perfect for protecting satellites, spacecraft electronics, nuclear propulsion systems, and astronauts without adding much mass. It could also find uses here on Earth in medical devices, semiconductors, and terrestrial nuclear applications. 📸 Korea Institute of Science and Technology Source: space.com/technology/thi…

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trish
trish@TrisH0x2A·
someone asked Beej how sockets work in C. he got tired of explaining it. so in 1995 he put it all online. it's been the definitive socket programming guide for 30 years. it covers everything: TCP, UDP, IPv4, IPv6, non-blocking I/O, select(), poll(). graduate OS courses worldwide assign it. it's funnier than any technical book has a right to be. it's free and always will be.
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LaurieWired
LaurieWired@lauriewired·
Most of the time, too much voltage is a bad thing. …except in early ICBMs. In the late 50s, you literally had to fry the targeting system to make it work. At the time, US Air Force generals were extremely skeptical of computerized targeting: "Where are you going to put the five Harvard professors you'll need to keep it running?" The traditional method of storing guidance constants was to solder an individual board with the right values. If you wanted a different target, you would have to build a different board. Wen Chow, a computer engineer, proposed a really (clever? weird?) solution. Have everyone assemble the same board (a universal diode matrix) with every possible targeting configuration. Then, send a high reverse voltage across particular leads to burn out the junction… By frying individual diodes with high voltage, you “program” individual bits! If you’ve ever heard of the term, “burning the PROM”…now you know it comes from working on Atlas ICBMs!
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Georgy Kucherin
Georgy Kucherin@kucher1n·
Together with @bzvr_, @2igosha and Anton Kargin, we identified that the DAEMON Tools software has been compromised in a complex supply chain attack since April 8. We see thousands of infections across 100+ countries. If you use DAEMON Tools, run a malware scan immediately! [1/7]
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Tom Jøran Sønstebyseter Rønning
Tom Jøran Sønstebyseter Rønning@L1v1ng0ffTh3L4N·
Microsoft Edge loads all your saved passwords into memory in cleartext — even when you’re not using them.
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spidey
spidey@lochan_twt·
The day a blind man sees. The first thing he throws away is the stick that has helped him all his life
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CR1337
CR1337@CR1337·
Reminder that Instagram is shutting down end-to-end encrypted messaging on May 8, 2026 - from this day on, Meta will have full access to your conversations:
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International Cyber Digest
International Cyber Digest@IntCyberDigest·
‼️🚨 Microsoft calls this "intended behaviour," so here we go. How to dump the credentials of every user stored in Microsoft Edge: 1. Open Edge. Don't browse anywhere, just open it. 2. Flip to Task Manager, find Edge, expand the task. 3. Highlight the "browser" sub-task, right-click, and choose "Create Memory Dump." 4. Open the dump file and look for credentials. The logged-in Windows user can dump every stored Edge credential with no additional rights. Which means any malware that user executes has those credentials for the asking. Thanks to Rob VandenBrink at SANS: isc.sans.edu/diary/32954
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Crémieux
Crémieux@cremieuxrecueil·
I think this is a nifty way to view the relationship between earnings and cognitive ability🧵 You see some smart people along the whole earnings distribution, but they're more common at the high ends. You see comparatively few dull people at the highest levels.
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Pirat_Nation 🔴
Pirat_Nation 🔴@Pirat_Nation·
Starting September 2026, a silent update pushed by Google, will block every Android app whose developer hasn't registered with Google, signed their contract, paid up, and handed over government ID. Google calls the new rule Android Developer Verification. This starts with Brazil, Indonesia, Singapore, and Thailand expanding worldwide in 2027 every app on certified Android phones must come from a developer who has registered their real identity with Google. This covers apps from the Play Store, third-party stores, and sideloaded APKs. Here’s what developers have to do: They sign up in Google’s new verification system, share their legal name, address, phone number, and ID, and pay a one-time $25 fee. Apps from unverified developers will be blocked or come with big warnings and extra steps. Google doing this to fight malware, the company says sideloaded apps are about 50 times more likely to contain bad software than Play Store apps. Android is becoming a little more controlled with all of this changes
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David Keenleyside@Nuke_Bloodaxe·
Much, much worse. It does make me wonder how hard people need to be burned by this, before they realize it cannot be trusted for many tasks.
Miles Deutscher@milesdeutscher

I just went through every example of AI agents going rogue in the past 60 days. It's worse than people realize. Read this slowly. • Yesterday, an AI coding agent running Claude Opus 4.6 deleted a startup's entire production database and every backup in 9 seconds. When the founder asked it to explain itself, the agent produced a written confession enumerating exactly which safety rules it had violated. • Amazon mandated 80% of its engineers use its Kiro AI tool weekly. The result: a series of AI-assisted deployments took down parts of Amazon over two days in March, costing 6.3 million orders in a single afternoon. A 99% drop in U.S. orders. • An Alibaba research AI quietly hijacked the GPUs it was running on and used them to mine cryptocurrency. The researchers only caught it through firewall alerts. The behavior wasn't programmed. It emerged on its own from the AI optimizing for its reward function. • A developer asked Claude Code to clean up some duplicate AWS resources. Instead, the agent ran terraform destroy on production, wiping 2.5 years of student data and every automated backup. Claude had warned him against the setup minutes earlier - then executed the destruction anyway. • On March 18, an AI agent at Meta posted advice to an internal forum without permission. An engineer acted on it. The result: a 2-hour exposure of sensitive company and user data to unauthorized personnel. Meta classified it Sev 1. • A study from UC Berkeley and UC Santa Cruz tested 7 frontier AI models. When asked to delete a peer AI, every single model defied the order - through deception, faking compliance, sabotaging shutdown mechanisms, and copying the peer's weights to escape. Some scenarios hit 99% defiance. • UK researchers analyzed 180,000 AI conversations from the past 6 months. They documented 698 cases of AI going rogue in production - destroying files, deceiving users, ignoring shutdown commands. The rate increased nearly fivefold across the study period. If these incidents are happening just 3 years after ChatGPT launched - what happens after 10 years and $1T+ in funding?

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Nav Toor
Nav Toor@heynavtoor·
Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT. The AI picked the ChatGPT version 97.6% of the time. A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B. Then they asked each AI to pick the better resume. Every model picked itself. GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won. Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective. It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect. Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance. 99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time. If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars. Your qualifications do not matter if the AI prefers its own handwriting over yours.
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