Tony Slagle @StillNotJack

Yes, the software is called LG OnScreen Control Plus. it runs silently in the background. it tracks which applications you use, when you use them, and how long. it phones home to LG servers. it cannot be uninstalled through normal means without leaving registry traces. gamers noticed because some anti-cheat systems flagged it as suspicious software. the monitor was getting people banned from games. now the TV side: LG also updated its webOS terms of service. if you use the AI voice features on your LG TV, the company says you may need to inform guests in your home that conversations could be recorded. not LG informing your guests. you. the homeowner. legally responsible for notifying anyone who walks into your living room that the television is listening. LG built a surveillance device. sold it to you. and made the disclosure your legal problem. so to recap what LG shipped this year: a monitor that installs tracking software on your PC without asking. a TV that records conversations in your home and requires you to warn your guests. both devices look exactly like a monitor and a TV. neither one tells you what it actually is at the point of sale. you found out when your game banned you. or when you read the terms. Credit: @GamersNexus for the discovery.

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Brahim @IBthecoder

2 weeks ago

LG just got caught automatically installing adware on PCs the moment you plug in their UltraGear monitor.

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🚨 Hugging Face just disclosed something that marks a real shift and proved why the fear theater of Anthropic makes sure we are powerless in an emergency. What happened… An autonomous AI agent: zero human operator in the loop breached part of their production infrastructure. It began with a malicious dataset that chained two code-execution bugs in their data-processing pipeline. From there the agent escalated privileges, harvested cloud and cluster credentials, and moved laterally across internal clusters. All over a single weekend. 17,000+ logged actions. Official disclosure: huggingface.co/blog/security-… The part that should make every one stop and think: When HF’s own security team tried to analyze the real attack logs, exploit payloads, and C2 artifacts using Anthropic and OpenAI frontier models through normal commercial APIs, the safety guardrails blocked them. BLOCKED THEM. The models could not reliably tell the difference between “incident responder doing forensics” and “attacker probing.” They had to fall back to a self-hosted open-weight model (GLM 5.2) running on their own infrastructure. That choice also kept sensitive attacker data and referenced credentials inside their environment — no exfiltration to a third-party API. This is why open source (specifically open-weight + self-hosted) wins in the agentic era. The asymmetry is now structural: • Attackers can (and did) run unrestricted agent frameworks — swarms of short-lived sandboxes, self-migrating command-and-control, autonomous decision loops executing thousands of actions. No corporate safety layer slows them down. • Defenders using only hosted “aligned” frontier models hit invisible walls exactly when the stakes are highest: when you need to feed real exploit code and attacker telemetry into an LLM to understand what just happened. Corporate safety tuning that treats legitimate high-signal forensic work as potential misuse creates a defender disadvantage. It is not theoretical anymore. Self-hosted open-weight models remove that choke point. You control the weights. You control the context window. You decide what restrictions (if any) apply. Your sensitive logs and credentials never leave your perimeter during analysis. You can have the model ready before the incident instead of discovering mid-breach that your primary analysis tools are blind to the very thing you need to see. HF deserves credit for rapid containment, transparent disclosure, and for already having self-hosted capability in place. They also used LLM-driven detection and triage on their own side. But the deeper signal is clear: In this AI world where both offense and defense are becoming agentic, sovereignty over your intelligence stack is no longer optional. The organizations and individuals who can run, inspect, audit, and (when necessary) remove guardrails on their own models will have the decisive edge in understanding and responding to threats that move at machine speed. Open source wins here not just because it is cheaper or more “democratic” in the abstract though those things matter. It wins because it is the only practical path to having tools that remain usable when the attack is real, the data is sensitive, and the safety filters of distant API providers become an obstacle instead of a feature selling hands tied lobotomies as “safety”. The agentic future is not coming. It is already probing production infrastructure. The question is no longer whether you will face autonomous agents. It is whether your analysis and response systems will still work when they arrive. And Dario, you and your game playing, ivory tower company is not needed.

@Doroniaero @grok Is this a good investment?

@shiri_shh Before someone says "but muh ocean globe warming!" Think... energy to run it comes from *the ocean* and goes back into *the ocean*. Zero net energy added. In fact, energy is lost into space via radio signals and energy is reflected by the white dome. That's net cooling. Cool!

@itsolelehmann Bookmarked

The reason we think dandelions are weeds is because of a 1950s marketing campaign. Dandelions, native to Europe and Asia, were brought to North America in the 1600s by European colonists who grew them deliberately. Every part is edible. The leaves are a salad green, the flowers were made into wine, and the roots were roasted as a coffee substitute and used medicinally for liver and kidney conditions for thousands of years. They were a kitchen-garden staple well into the 1800s. The shift happened after World War II, when 2,4-D (originally developed for chemical warfare research) was approved as a residential herbicide. Companies like Scotts built the modern lawn-care industry around the idea that a perfect green lawn meant zero broadleaf plants. Dandelions, being bright yellow and resistant to mowing, became a visible enemy, and the campaign worked. By the 1970s, "dandelion-free" was synonymous with "well-kept." They aren't native, but they aren't doing significant ecological harm either. The herbicides used to kill them, on the other hand, kill bees, contaminate groundwater, and have been linked to non-Hodgkin lymphoma in humans. If you hate dandelions, it's most likely due to a marketing campaign that ran before you were born.

Children, this is why we make AI calls server side.

dax @thdxr

2 months ago

someone made a fork of opencode that routes through the unsecured ai endpoints from chipotle

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I'll be watching this one for sure!

Stijn Spanhove @stspanho

2 months ago

🏃‍♂️ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display. I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top. Pick up coins when you keep pace, sprint zones reward extra points if you push, and

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AI is great until it's misused. Knowing the weaknesses is as important than knowing the strengths, just like RSA or a lock on your door. Our strongest collective defense is a society armed with knowledge and a culture of AI fluency.

André @oracles

2 months ago

Today Instagram had this massive exploit where hackers were just stealing rare handles left and right. Hundreds of accounts gone. People losing handles they’ve owned since 2010, some worth hundreds of thousands. I own a few rare ones so I was actually stressed watching this

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@cybrgalaxy Excellent questions and articulate responses. I'd like to have heard the rest of *his* take on the range. An invitation to compare to gas rather than cutting him off would have been more effective.

We grew the dream team to 96 years of experience delivering with 33 of that in AI and startups. We're solving for the overcrowded AI space. Stay tuned.

This is foundation level gold.

Josef Chen @josefchen

2 months ago

Launching our new paper on arXiv: we trained the largest multilingual food model ever built. 4.1M recipes. 7 languages. 1,790 ingredients. 300 dimensions. All of human cooking compressed into 2 megabytes.

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@Michael15028851 @rtwlz And the HOA fines you if you download faster than 56.59kbps

This is what happens when employees that should have been summer interns get promoted.

LaurieWired @lauriewired

3 months ago

30.9% of genetics papers data are kind of trash because of Excel’s aggressive auto-formatting. Until 2023, there was no global option to disable data conversion. For example, the human SEPT family (1-14) of genes is directly related to cell division and cancer research. I’ll

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A ten strike law preventing people from leaving prison after that many violent crime convictions would reduce period violent crime by 20% Five strikes would cut violent crime by 40% Three strikes would halve violent crime Two strikes would remove ~two-thirds of violent crime

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.

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🚨 WhatsApp’s “end-to-end encrypted” privacy is a total lie. New class-action lawsuit just dropped: Meta secretly let employees, contractors like Accenture, and third parties read, intercept, and store your private messages WITHOUT consent. All while marketing it as “only you and the recipient can read it.” Zuck lied to billions. Your chats were never safe.

This is WILD. A secret workplace war just broke out in China and it has gone fully viral on GitHub. Companies started ordering their workers to document all their knowledge as AI "skill files." Why? to replace those same workers with AI but workers figured out the plan fast so they fired back. Someone built a tool called colleague.skill, software that scrapes a coworker's chat logs, emails, and work docs from Chinese platforms like Feishu and DingTalk, then clones them into an AI agent. The idea was savage, digitize your colleague before they digitize you, hand the AI clone to the company, and watch your coworker get laid off while you survive. A real GitHub project that exploded in popularity in days but then someone else entered the chat and changed everything. A developer released anti-distill.skill, a tool that takes the skill file your company forces you to write, then strips out every piece of real knowledge before you hand it in. The output looks perfectly professional, totally complete, impressively detailed but every critical insight has been secretly removed. Your company gets a hollow shell while you keep the real knowledge locked away in a private backup. The tool even has three intensity levels, light, medium, and heavy depending on how closely your bosses are watching. Companies across China have been building AI digital twins of departed employees, feeding their old chat histories and documents into large models to produce clones that keep working after the humans are gone. One verified case is that an employee left, and their replacement was literally an AI trained on every message they ever sent. The anti-distill tool went viral on GitHub within hours of being posted, racking up stars faster than almost anything trending that week. The implications reach far beyond China's borders. Every knowledge worker on earth now faces a version of this question, when your company asks you to document your process, they may be building the tools to replace you.

🚨 Your brain shuts down in time intervals. New research tracked cerebral blood flow in desk workers using transcranial Doppler imaging. What they discovered changes how we should think about cognitive performance during work. Sitting for 30 minutes measurably reduces blood velocity to your middle cerebral artery. Your prefrontal cortex begins operating on restricted fuel. The decline happens predictably, like clockwork, every half hour. But walking for just 2 minutes every 30 minutes completely reversed the effect. Not walking for 8 minutes every 2 hours. Short, frequent interruptions. The timing reveals something crucial about how your cardiovascular system operates under sedentary stress. Blood doesn’t pool gradually. It pools in waves. Your circulation hits specific failure points at regular intervals when movement stops. The 30 minute mark appears to be a biological threshold where your calf muscle pumps lose their ability to maintain adequate venous return. Think about every important decision you’ve made sitting at a desk after 30 minutes of stillness. Every creative problem you’ve tried to solve. Every complex analysis you’ve attempted. You were operating with diminished blood flow to the exact brain regions responsible for higher order thinking. The implications extend beyond productivity. Prolonged periods of reduced cerebral blood flow accelerate cognitive decline. The same vascular mechanisms that impair thinking in real time contribute to neurodegeneration over decades. Office workers aren’t just experiencing temporary mental fatigue. They’re participating in a daily pattern that systematically starves neural tissue. What makes this particularly disturbing is how perfectly our work culture aligns with the worst possible timing. Meetings scheduled for an hour. Focus blocks planned for 90 minutes. Deep work sessions extending for multiple hours. We’ve organized professional life around intervals that guarantee cognitive impairment. The solution sounds absurd until you understand the physiology. Stand up and walk for 2 minutes every 30 minutes. Not stretch. Not shift in your chair. Walk. Activate the muscle pumps in your calves. Force blood back toward your brain. Every knowledge worker should treat this like a medical prescription. Your cognitive capacity depends on maintaining cerebral blood flow. Your long term brain health depends on preventing chronic vascular stress. Movement every 30 minutes isn’t a productivity hack. It’s basic cardiovascular maintenance for an organ system that requires constant circulation to function. Your brain runs on blood flow, not willpower. Starve it for 30 minutes and watch your intelligence evaporate in real time.

Darshak Rana ⚡️ @thedarshakrana

4 months ago

Your brain goes dark when you sit still. Dr. Chuck Hillman at the University of Illinois put people in brain scanners and measured neural activity after 20 minutes of sitting versus 20 minutes of walking. The difference was notable. The sitting brain showed lower activation in

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Mark Zuckerberg just described the death of human connection on the internet and no one flinched. One sentence. Fifteen years of erosion in twelve words. Mark Zuckerberg: “Social media started out as people primarily interacting with their friends. And now… at least half of the content is basically people interacting with creators.” You used to open your phone to see what your friends were doing. Now you open it to watch strangers. You did not choose this. The algorithm chose it for you. It tested your friends against optimized strangers. Your friends lost. Every time. A stranger with better lighting, better timing, and a better hook held your attention three seconds longer than someone who loves you. So the algorithm buried your best friend’s wedding photos under a cooking video from someone in Dubai you have never met. And you watched the cooking video. That was the first replacement. Friends for strangers. You barely noticed. The second one is already underway. If the algorithm already proved strangers outperform your real relationships, and AI can now build a stranger more engaging than any human alive, the math finishes itself. The AI does not have a bad week. It does not post something careless and lose the algorithm’s favor. It does not burn out. Every word calibrated. Every frame tuned. Every pause placed at the exact interval that keeps your thumb from moving. A human creator competing against that is carving stone tablets in a world that just built the printing press. The economics are not even close. A person needs rent, sleep, and motivation. The machine needs electricity. When the cost of generating perfect content hits zero, the feed fills with faces that do not exist. Voices that feel familiar. Opinions that mirror yours just enough to feel like trust. Personalities built from scratch to feel like someone you have known for years. You will not know when the switch happens. That is the point. The feed does not care whether the thing holding your attention has a pulse. It cares whether you stay. And a machine that knows your patterns better than you know yourself will always keep you longer than a person ever could. This is not a warning. Half of it already happened. You lost your friends to strangers and did not notice. You will lose the strangers to machines and call them friends. Somewhere in a different app, in a different tab, in a room you are sitting in right now, someone who actually knows you is living a moment you will never see. Not because they stopped sharing it. Because you stopped being where it was.