I think I'm thinking therefore I may be, maybe

Amsterdam
Joined December 2008
There’s no point going any further. De-radicalize yourself and start functioning journals.sagepub.com/doi/pdf… – at Amsterdam, The Netherlands
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curious corn, gilded cage retweeted
When you shut down a modern iPhone, the Power Management Unit (PMU) cuts voltage to the main A-series processor, the OLED display, and the camera array. It leaves a separate Low Power Mode (LPM) rail live on the motherboard. Sitting on that energized rail are three wireless chips: the Bluetooth controller, the NXP NFC controller, and the Apple U1 Ultra-Wideband chip. Apple built this hardware partition to run "Findable After Power Off," Express Transit passes, and Digital Car Keys when your battery dies. Even with iOS completely unloaded from RAM, those three chips stay powered for up to 24 hours on a manual shutdown (and up to 5 hours on automatic battery reserve). Right before iOS powers down, it pre-computes 96 rolling NIST P-224 public keys (one for every 15-minute window over the next 24 hours) and sends them to the Bluetooth chip using Host Controller Interface (HCI) commands. The final HCI command severs communication with the main processor and starts a standalone thread inside the Bluetooth silicon. While the main SoC sits unpowered, the Bluetooth chip wakes up every 2 seconds to broadcast the current P-224 public key over Bluetooth Low Energy. Any passing iPhone or MacBook that hears that broadcast encrypts its own GPS coordinates with your broadcasted public key and relays the packet to Apple servers. In 2022, researchers at the SEEMOO lab at TU Darmstadt audited this low-power hardware chain ("Evil Never Sleeps") and found a major gap between the three wireless chips. While the NFC chip runs encrypted and signed firmware and the U1 Ultra-Wideband chip checks cryptographic signatures at boot, the Broadcom Bluetooth chip has neither encryption nor signature verification on its firmware updates. Broadcom bakes its base Bluetooth firmware into read-only Mask ROM at the factory. To fix bugs and load the standalone Find My feature, iOS writes raw binary patches directly into the chip internal SRAM using a mechanism called PatchRAM (Write_RAM HCI commands). The hardware never checks a cryptographic signature on those RAM patches. If an attacker already has kernel-level code execution on iOS (through spyware or a local jailbreak exploit), they can overwrite the Bluetooth chip PatchRAM in SRAM before the user powers the phone down. When the user drags the power-off slider, iOS halts and wipes main system RAM. Because the PMU keeps the LPM power rail alive, the modified Bluetooth firmware stays in SRAM and keeps executing on reserve battery power. Worse, the TU Darmstadt team showed from iPhone board schematics that the Bluetooth and U1 chips are wired directly to the Secure Element inside the NFC controller via dedicated hardware buses (SE_I2C and R1_WAKE/SYNC) so car keys and transit cards work while the phone is off. Compromised Bluetooth firmware running in LPM can broadcast custom tracking beacons, listen for over-the-air wake commands, or talk directly to the Secure Element over SE_I2C while the main operating system is dead. Apple lets you tap "Temporarily Turn Off Finding" on the shutdown screen and enter your passcode to disable LPM for that power cycle. That toggle works if your phone is clean, because a clean iOS kernel tells the PMU to cut the LPM rail. If your phone is already compromised by kernel spyware, the malware controls the shutdown sequence. It can turn off the screen, play the shutdown animation, ignore your toggle, and tell the PMU to keep the patched Bluetooth chip powered in the background. Once kernel malware can hide inside unverified radio SRAM, a software power-off slider means nothing. Until the battery is physically disconnected from the board or the phone goes inside an RF-shielded Faraday bag, the Bluetooth silicon can stay on the air.
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curious corn, gilded cage retweeted
Boh, a questo punto scappate a gambe levate, ogni parola potrà essere usata contro di voi.
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UPDATE: Israeli company we caught delivering zero-click infections is #1 bidder on Starlink ads in 105 countries. Data from @trendai_RSRCH suggests worldwide surveillance op targeting @Starlink users. 1/ By @razhael reuters.com/business/media-t…
🚨NEW INVESTIGATION: zero-click mercenary spyware hacking via targeted ads. A normal-looking ad loads. If you're a target, you're infected. No click needed. To protect yourself, block ads now. First time it's been confirmed in the wild. We call it #AdFection. Candiru spyware infections at @AJEnglish. 45+ devices infected. Same ad pipeline operated by Israeli company Discover-Tech reached NATO, European Parliament, dozens of gov networks & critical infrastructure incl US nuclear giant Westinghouse. Confiant, which worked with us, found signs ads were displayed at US @DeptofWar, IAEA & ICC. Investigation ongoing 1/ READ our report by @billmarczak @WolfieChristl, me Astrid Perry, Siena Anstis & Ron Deibert : citizenlab.ca/research/how-d… Confiant's blog: blog.confiant.com/p/adint-we…
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Meno male che gli agenti di PS hanno il numero identificativo, come da raccomandazione del Parlamento Europeo del 2012. A no ???
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"ANCHE NOI MANIFESTAVAMO MA NON ERAVAMO VIOLENTI" ... DICE LA RUSSA "Anche noi manifestavamo ma non eravamo violenti" - Cit. Ignazio La Russa, quello in foto indicato dalla freccia rossa. Se non vi fidate cercatevela, è del 12 aprile 1973. Il Movimento Sociale Italiano organizza una manifestazione, alla quale aderisce anche il Fronte della Gioventù, guidato all'epoca proprio dall'attuale Presidente del Senato. Il corteo non viene autorizzato, ma nonostante il divieto imposto dal prefetto i manifestanti si radunano e marciano verso la prefettura. Il corteo è segnato da atti di violenza, vandalismi e scontri con le forze dell'ordine. Durante la guerriglia vengono lanciate due bombe a mano, e una di queste uccide un giovane agente di polizia di 22 anni, Antonio Marino e ferisce diversi altri agenti e passanti. Questa è storia documentata. La Russa non solo guidava il corteo, come vedete dalla foto, ma lui e la sua famiglia aiutarono Maurizio Murelli, condannato per l'omicidio dell'agente, con un sostegno economico per quei tempi enorme. Il padre di Ignazio, Antonino, si fece infatti carico del risarcimento di 20 milioni di lire alla famiglia del poliziotto (150mila euro di oggi) che permise di ridurre la pena dell'assassino. Quindi, invece di prendervela coi ragazzi che buttano giù due libri, leggetevi qualcosa su coloro che avete mandato a governarci. (Daniela Todde)
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Forget the Harry Potter HBO Series. Did you know that they tried to cancel Professor Snape's stage play? Alan Rickman wrote a play about Rachel Corrie, the woman who was killed by aIsrael She was crushed to death and Israeli forces posted photos on social media mocking her death. Theatres in New York refused to let Rickman's play about Corrie be performed on stage in 2006 when he brought it to the US.
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JUST IN: 🇮🇹 THIS IS WHAT THEY WANTED Italy is now giving its police sweeping new powers “due to riots.” Police can now hold people under 18 for up to 12 HOURS and BAN youths from demonstrations or designated areas. They’ve destroyed Europe so we rebel, then they provide the solution for the “instability” with more tyranny. Create the problem. Provide the solution.
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Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
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curious corn, gilded cage retweeted
Replying to @hymage
Un centinaio di super-ricchi i quali, piuttosto che contribuire al benessere sociale del loro paese con una contribuzione che non modificherebbe il loro status di super ricchi, preferiscono andarsene a conferma, se ce ne fosse stato bisogno, dei pezzi di merda che sono.
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11 years after launch, more witchers are now walking the Path across the Continent than ever before. Seeing so many of you set out on this journey for the very first time, or relive it once more, means the world to us. Thank you for putting your trust in us, all these years later. ❤️
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Reminder, The Witcher 3: Wild Hunt — Remastered releases tomorrow!
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Today! Now it’s today!!!!
Reminder, The Witcher 3: Wild Hunt — Remastered releases tomorrow!
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The agents escaped the sandbox again Meanwhile the agents' owners:
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curious corn, gilded cage retweeted
Replying to @clashreport
All Putin bitches in the west sing the same song - its cheaper for Putin to buy puppets than fighting a war ..
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Replying to @clashreport
I don't understand ordinary people who vote for the Right. I understand the Oligarchs and Corporations that they are comfortable with a right-wing government, but they won't address employee rights or housing affordability. All they know how to do is feed people hatred.
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curious corn, gilded cage retweeted
Looks like various large companies will be taking delivery of a new @Tesla Semi tomorrow, including DHL, PepsiCo and US Foods. Each one of these companies have put in large orders.
Tesla Semi Pre-Reveal Revealed! Excited to share this segment of the drone flight one day prior to the Tesla Semi Reveal event. They have added branding to several Tesla new generation semis. Including: Pepsico US Foods Einride LTS Nevoya OK Produce ABF Freight DHL WattEV IMC Logistics HMD Some of these we knew about and some are previously unknown. @tesla_semi @danWpriestley
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curious corn, gilded cage retweeted
Starlink laser terminals. Imagine this thing locking onto a target the size of a dinner plate, 4,000 km away, while both ends are moving at orbital speed.
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"The children will grow up". This was also the argument that Nazi officials gave, during the Nuremberg Trials, to justify why they had killed children during the Holocaust.
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curious corn, gilded cage retweeted
Classic anti-Zionist origin story
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