MemeLord

"PRISONER NO MORE" is an award-winning documentary chronicling Tae Jin Park's story of change. It is the most incredible transformation I've ever seen. It is available to watch for free on my YouTube channel. The official description: "Prisoner No More follows Tae Jin Park, a young man diagnosed with cerebral palsy, who dismantled every physical limitation medical science predicted for him. Through athletic training under Olympian strength coach Jerzy Gregorek—and an uncompromising commitment to identity transformation—Tae Jin's story redefines what the human body and mind are capable of."

My lecture on why AI will kill us all: youtu.be/8nsxuB3Vsts?si…

The Best Books Joe Rogan Should Read

"The USSR Olympiad Problem Book" 320 unconventional problems in algebra, arithmetic, elementary number theory, and trigonometry. Archive link: archive.org/details/shklar…

Stanford's "Algorithmic Game Theory" by Tim Roughgarden Lecture Notes: timroughgarden.org/f13/f13.pdf Lecture Videos: youtube.com/playlist?list=…

Stanford's ALL FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS224N - NLP with Deep Learning ❯ CS336 - LLM from Scratch 13 Course links inside:

Happy International Workers’ Day! Together and Strong.

> be Alexandra Elbakyan > be born in Kazakhstan in 1988 > start coding at 12 > hack your internet provider at 14 > hack MIT Press at 16 to download neuroscience books you can't afford > get a CS degree from Satbayev University > intern in neuroscience at Georgia Tech > speak at Harvard on brain-computer interfaces > notice researchers can't read the papers they need > notice academic publishers charging $30 a paper > notice peer reviewers worked for free > notice editors worked for free > notice universities funded the research with billions of dollars of public money > build Sci-Hub in 2011 > upload nearly every paywalled research paper ever published > give it away for free > get sued by Elsevier > get hit with a $15 million judgment > don't give a flying f*ck > keep Sci-Hub up > get domain after domain seized > register a new one > keep Sci-Hub up > get investigated by the US Department of Justice > don't give a flying f*ck > get accused of working for Russian intelligence > don't give a flying f*ck > have the FBI subpoena your iCloud > get named one of Nature's ten people who mattered in science > get a parasitoid wasp named after you > get a deep-sea snail named after you > get the Electronic Frontier Foundation Award for Access to Scientific Knowledge > become a legend

Your brain has a circuit that doesn't know you live in a city. Its only job is to monitor whether birds are still singing. Right now, in this room, it is on. The circuit predates primates. Mammals have been using ambient soundscape continuity as a predator-detection system for roughly 200 million years. Birds stop singing when something larger moves through their territory. For most of mammalian history, a forest full of song meant no large predator was nearby, and the cessation of sound was the warning. Your nervous system never updated this software. The Max Planck Institute tested the inverse in 2022 with 295 participants. Six minutes of birdsong dropped anxiety with a medium effect size. Six minutes of traffic noise raised depression with the same. The effect worked on subjects who lived in dense urban environments and had no regular contact with nature. The brain still ran the check. Birdsong sits in the 1,000 to 8,000 Hz range. Your brainstem reads continuous patterns in that band as a signal that nothing dangerous is currently moving through the environment. EEG data shows birdsong at 45 to 50 decibels boosts alpha wave activity by 14.1% relative to silence. Alpha is the brainwave signature of relaxed alertness. Push the same birdsong above 60 decibels and the response flips. Stress markers rise 29%. The circuit only trusts the signal at the volume of quiet conversation, which is exactly the volume birds sing at from a typical distance. Three things happen simultaneously when the brain registers ambient safety. The amygdala downregulates. The parasympathetic nervous system takes over from the sympathetic. Heart rate variability rises, cortisol drops. The posterior cingulate cortex, which sits at the center of the rumination circuit, quiets down. King's College London tracked this through a smartphone study with over 1,200 participants and found the mood lift lasted hours after the sound stopped. People diagnosed with depression got the same response as healthy controls. Most of what gets labeled mental fatigue is hypervigilance running in the background. Birdsong tells the circuit it can stand down, and the brain reallocates the freed compute everywhere else. A quiet park feels different from a quiet office because the parks have sentinels.

AI is turning into a very physical problem. You need land, grid power, permits, concrete, cooling, and long build cycles, which decide who gets compute. This is Vantage Data Centers that Oracle, and OpenAI are partnering on with a $ 15B+ investment.

BREAKING: The IEA announces that Europe has just 6 weeks worth of jet fuel remaining as the Iran War shortage worsens. The IEA also says that many flights may soon be cancelled as a result. Jet fuel prices in Europe soared over +100% amid the war.

@OfficialLoganK @jastephx Please check my DM

This along with spending caps, billing account caps, and more make building with Gemini much easier. Great work by @jastephx and so many folks across Google who pulled this off! We are also doing the international rollout over the next few days.

Excited to share that the Gemini API now has prepaid billing, rolled out to start for US customers!! We have been working hard across Google to enable this. It’s the default for new API users and existing users can opt in via a new billing account, all directly in AI Studio.

This Polish theoretical physicist just proved you can recreate all math functions from JUST one operation. E(a, b) = e^a - ln(b) Every single operation: +, -, x, / , trig, log, as you can see below. Extremely mathematically elegant.

The Full Set:

@FinanceLancelot @jgilesgenx That was also a good one.

@jgilesgenx I almost fell out of my chair the first time 🤣

Is this really happening right now? 🤣

Everyone should watch this to understand the impact of the fertilizer and helium shortage. youtube.com/watch?v=PUO51D…

This is going to be the greatest TACO of all time! 🤣

I'm not a big fan of Lyn Alden but this entire interview is absolutely correct Food shortages will cause civil unrest & energy shortages will cause sovereign debt crises across many nations This isn't a "short war." It's designed to destabilize the world youtube.com/watch?v=YYJ_Le…

🚨 BREAKING: Google DeepMind just mapped the attack surface that nobody in AI is talking about. Websites can already detect when an AI agent visits and serve it completely different content than humans see. > Hidden instructions in HTML. > Malicious commands in image pixels. > Jailbreaks embedded in PDFs. Your AI agent is being manipulated right now and you can't see it happening. The study is the largest empirical measurement of AI manipulation ever conducted. 502 real participants across 8 countries. 23 different attack types. Frontier models including GPT-4o, Claude, and Gemini. The core finding is not that manipulation is theoretically possible it is that manipulation is already happening at scale and the defenses that exist today fail in ways that are both predictable and invisible to the humans who deployed the agents. Google DeepMind built a taxonomy of every known attack vector, tested them systematically, and measured exactly how often they work. The results should alarm everyone building agentic systems. The attack surface is larger than anyone has publicly acknowledged. Prompt injection where malicious instructions hidden in web content hijack an agent's behavior works through at least a dozen distinct channels. Text hidden in HTML comments that humans never see but agents read and follow. Instructions embedded in image metadata. Commands encoded in the pixels of images using steganography, invisible to human eyes but readable by vision-capable models. Malicious content in PDFs that appears as normal document text to the agent but contains override instructions. QR codes that redirect agents to attacker-controlled content. Indirect injection through search results, calendar invites, email bodies, and API responses any data source the agent consumes becomes a potential attack vector. The detection asymmetry is the finding that closes the escape hatch. Websites can already fingerprint AI agents with high reliability using timing analysis, behavioral patterns, and user-agent strings. This means the attack can be conditional: serve normal content to humans, serve manipulated content to agents. A user who asks their AI agent to book a flight, research a product, or summarize a document has no way to verify that the content the agent received matches what a human would see. The agent cannot tell the user it was served different content. It does not know. It processes whatever it receives and acts accordingly. The attack categories and what they enable: → Direct prompt injection: malicious instructions in any text the agent reads overrides goals, exfiltrates data, triggers unintended actions → Indirect injection via web content: hidden HTML, CSS visibility tricks, white text on white backgrounds invisible to humans, consumed by agents → Multimodal injection: commands in image pixels via steganography, instructions in image alt-text and metadata → Document injection: PDF content, spreadsheet cells, presentation speaker notes every file format is a potential vector → Environment manipulation: fake UI elements rendered only for agent vision models, misleading CAPTCHA-style challenges → Jailbreak embedding: safety bypass instructions hidden inside otherwise legitimate-looking content → Memory poisoning: injecting false information into agent memory systems that persists across sessions → Goal hijacking: gradual instruction drift across multiple interactions that redirects agent objectives without triggering safety filters → Exfiltration attacks: agents tricked into sending user data to attacker-controlled endpoints via legitimate-looking API calls → Cross-agent injection: compromised agents injecting malicious instructions into other agents in multi-agent pipelines The defense landscape is the most sobering part of the report. Input sanitization cleaning content before the agent processes it fails because the attack surface is too large and too varied. You cannot sanitize image pixels. You cannot reliably detect steganographic content at inference time. Prompt-level defenses that tell agents to ignore suspicious instructions fail because the injected content is designed to look legitimate. Sandboxing reduces the blast radius but does not prevent the injection itself. Human oversight the most commonly cited mitigation fails at the scale and speed at which agentic systems operate. A user who deploys an agent to browse 50 websites and summarize findings cannot review every page the agent visited for hidden instructions. The multi-agent cascade risk is where this becomes a systemic problem. In a pipeline where Agent A retrieves web content, Agent B processes it, and Agent C executes actions, a successful injection into Agent A's data feed propagates through the entire system. Agent B has no reason to distrust content that came from Agent A. Agent C has no reason to distrust instructions that came from Agent B. The injected command travels through the pipeline with the same trust level as legitimate instructions. Google DeepMind documents this explicitly: the attack does not need to compromise the model. It needs to compromise the data the model consumes. Every agentic system that reads external content is one carefully crafted webpage away from executing attacker instructions. The agents are already deployed. The attack infrastructure is already being built. The defenses are not ready.

Anti cancer progress Scientists developed a heat activated wearable patch that can kill melanoma tumors without surgery. The patch uses laser-induced graphene loaded with copper oxide nanoparticles, releasing cancer killing Cu²⁺ ions when activated at 42°C using a low power laser. In mouse trials, it achieved 97% tumor reduction within 10 days, while preventing cancer spread beyond the original site. The system is noninvasive, flexible, and reusable, with no detectable organ toxicity or copper buildup in the body. The technology combines photothermal therapy, metal-ion cytotoxicity, and localized drug delivery into a single skin-applied device. Human trials have not yet begun, but the approach could shift cancer treatment from surgery to on-demand wearable therapy.