Jediphone

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Jediphone

Jediphone

@Jediphone

Persistent curiosity unlocks the universe. =^..^= *•. “To strive, to seek, to find, and not to yield.”

✨🌲🌊 เข้าร่วม Eylül 2008
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Jediphone
Jediphone@Jediphone·
* “The one change that has improved my life the most has been to increasingly replace my opinions with curiosity.” ~ Aaron Baldassare
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Jediphone@Jediphone·
@BigBrainPsych When a difficult situation arises, remember that a clenched fist is not open to the solution. When you feel anger, your closed mind is not open to better possibilities. 
A clenched fist cannot receive anything; Only the open hand catches the next good idea, or opportunity.
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Big Brain Psychology
Big Brain Psychology@BigBrainPsych·
Most people think success comes from caring more. Michel de Montaigne proved the opposite 450 years ago. Modern psychology confirmed he was right. Here's the philosophy that frees you from outcome obsession ↓ We live in an era of relentless outcome fixation. Metrics. Follower counts. Performance reviews. Psychologists call it "maladaptive perfectionism." And it's quietly destroying performance, elevating burnout risk by 20–30% and linking directly to depression and low self-esteem. The cruel irony? The harder you chase the result, the worse you perform. Anxiety splits your attention. Perfectionism triggers paralysis. The approval you seek becomes the very thing that repels people. But a 16th-century French nobleman figured out the cure long before the science existed. Meet Michel de Montaigne ↓ Born in 1533, Montaigne seemed destined for political greatness. Then life dismantled him. His closest friend died. He lost his daughter. His ambitions collapsed. Instead of clawing back control, he retreated to his tower library and let go. Between 1572 and 1595, he wrote 107 essays simply to understand himself. His conclusion? "He who places his happiness in dependence upon tomorrow is condemned to eternal unhappiness." His essays shaped Shakespeare, Descartes, and modern philosophy for centuries. He called his method mettre à nonchalloir, or strategic nonchalance. It's not laziness, nor apathy. It's a deliberate release of ego-driven fixation on outcomes, so spontaneity and serendipity could finally do their work. His philosophy had 3 principles: 1) Release the need for external validation People become prisoners of their own minds, trapped in loops of judgment and approval-seeking. Today, that loop runs 24/7 through every notification and metric. The less you need to prove yourself, the more magnetic you become. 2) Accept uncertainty instead of controlling it Perfectionism promises safety. It delivers exhaustion. Relaxed minds outperform anxious ones by up to 30% in creative insight. Loosening your grip doesn't slow progress. It accelerates it. 3) Value process over product It means redirecting energy from approval toward meaningful action. You'll notice relationships become more genuine. Opportunities come naturally. 3 ways to apply this today ↓ • Audit your attachments. Ask: "What expectations am I carrying that aren't mine?" Name the worries draining you, then set them down. • Practice nonchalance. When anxiety spikes, step back. Solutions surface when you stop forcing them. • Engage authentically. The more you allow others to be themselves, the deeper your connections become. Montaigne survived plague, personal tragedy, and political collapse by mastering one insight modern psychology is only now quantifying: Presence breeds serendipity. And once you stop gripping the outcome... Something shifts. — Thanks for reading! Enjoyed this post? Follow @BigBrainPsych for more content like this.
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Jediphone
Jediphone@Jediphone·
@aakashgupta @his4Everz “Perhaps the best test of a man’s intelligence is his capacity for making a summary.” ~ Lytton Strachey "Technical skill is mastery of complexity, while creativity is mastery of simplicity." ~ Erik Christopher Zeeman
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Aakash Gupta
Aakash Gupta@aakashgupta·
Simplification is a literal neural signature of mastery, not a communication preference. Your prefrontal cortex can hold about 4 items in working memory at any given moment. That's the biological ceiling. Doesn't matter how smart you are. The constraint is fixed. What changes with expertise is compression. Your brain learns to "chunk" multiple pieces of information into single units. A chess grandmaster doesn't see 32 pieces on a board. They see 5-6 familiar patterns. A senior engineer doesn't see 40 variables in a system. They see 3 forces interacting. The prefrontal cortex and basal ganglia run a gating system that decides what gets into working memory and what gets filtered out. Dopamine modulates those gates. When someone builds deep expertise in a domain, their basal ganglia learns which information to compress and which to discard, freeing up slots for higher-order reasoning. The person who can explain something simply has built enough mental chunks that the complex version collapses into a small number of organized patterns. The person who overcomplicates things is often still holding each variable separately, maxing out their working memory, and spilling the cognitive overflow into their explanation. This is why Feynman could explain quantum mechanics to freshmen. His compression ratio was so high that concepts taking 4 working memory slots for a grad student took 1 slot for him. The remaining 3 slots were free for analogy, storytelling, and reading the room. Simplicity is what happens when your brain has run enough reps to compress the pattern. Complexity is what happens when it hasn't.
Natism@his4Everz

You can tell someone’s smart by how well they simplify things, not complicate them.

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Jediphone@Jediphone·
@postalwtf Look interesting, but any plans for iPhone? Not often at my desk when I need reminding…
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Postal
Postal@postalwtf·
Can you get postal to set reminders, find your old notes, and do research on new tasks for you? YES. all of the above.
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Jediphone
Jediphone@Jediphone·
Camus@newstart_2024

Neil Postman, writing and speaking before his passing in 2003, identified what he regarded as modernity's greatest crime: the systematic destruction of childhood. He observed that society had begun raising not children, but miniature consumers—children whose natural imagination was being steadily replaced by external stimuli. Noisy, pre-programmed plastic toys that captivated briefly then bored them. Screens that offered constant engagement but left no room for inner invention. Overprotective adults who supervised every step, preventing children from building unsupervised worlds of their own. The consequence, Postman warned, was profound: a generation arriving at adolescence with almost no internal resources, dependent on outside excitement, and then rebelling—often destructively—as they belatedly tried to create the autonomy and meaning that should have been nurtured much earlier. He emphasized that childhood was never merely a biological phase; it was a cultural achievement—one that consumer culture and accelerating media saturation were actively dismantling. His call, delivered decades ago, was both simple and radical: reclaim childhood. Protect the slow unfolding of imagination. Reduce the flood of ready-made stimulation. Allow children space to daydream, explore, fail, and invent without constant adult oversight or digital pacification. Looking back from 2026, many now reflect that Postman foresaw—with unsettling precision—the trajectory we would follow. The average screen time of young children has only increased, unstructured play has continued to decline, and the mental health challenges among adolescents have grown more visible. Yet his diagnosis still resonates because it points to something recoverable: the possibility of choosing differently, even now. Do you believe we have already lost too much of what he called childhood—or do you see meaningful ways, in families and communities, to still reclaim it?

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Jediphone
Jediphone@Jediphone·
@r0ck3t23 @elonmusk “Knowledge is a love affair with answers. Wisdom is a love affair with questions. We possess knowledge, we patent knowledge - but wisdom you cannot own, you cannot patent."  ~ Julio Olalla
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Dustin
Dustin@r0ck3t23·
The most valuable skill in history just changed forever. Elon Musk just handed you the only survival framework that matters. Musk: “The biggest thing is, what questions do we not know to ask?” For centuries, the smartest person in the room held the most answers. AI didn’t level the playing field. It burned it down. Superintelligence in your pocket answers anything. Instantly. Perfectly. For free. Musk: “Once you know the question, the answer is usually the easy part.” Let that land. The next generation of winners won’t be defined by what they know. They’ll be defined by what they think to ask. AI commoditized execution. Script, plan, code, strategy. Models handle all of it. The bottleneck was never intelligence. It was never labor. It’s curiosity. It’s always been curiosity. Traditional education spent decades training you to memorize answers. AI made that obsolete overnight. Human value is no longer tied to knowledge. It’s tied to the judgment of which problems are even worth solving. That’s the gap machines can’t close. Because asking the right question isn’t a skill. It’s a worldview. It requires taste. Intuition. The ability to look at a landscape everyone else is staring at and see the one thing nobody thought to interrogate. Master the art of asking the exact right question to a machine that knows everything and you can build anything. The skill isn’t knowing. It’s knowing what to ask. That judgment, that taste for what’s worth pursuing, that’s the last truly human edge. The only one markets will keep paying for. Answers are infinite now. Free, instant, and available to everyone on earth equally. The only thing separating you from the person who builds the next great company is the quality of your questions. Answers are free. Questions are everything.
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Jediphone
Jediphone@Jediphone·
Mr PitBull@MrPitbull07

Nora Keegan was not trying to change public health policy. She was just paying attention. In elementary school in Calgary, she noticed something adults kept dismissing. Children rushing out of public restrooms. Hands clamped over their ears. Faces tense. Complaints whispered between friends. It hurts my ears. She felt it too. After using hand dryers, her ears rang. The sound lingered. Adults brushed it off. They are just loud. That is what machines do. But Nora kept wondering why children reacted so strongly. And more importantly, why no one was measuring it. In fifth grade, she decided to find out. With the help of her parents, both physicians, she turned curiosity into research. She borrowed professional sound equipment. She designed an experiment. And then she went where the problem lived. Public bathrooms. Over two years, she visited forty four restrooms across Alberta. Libraries. Restaurants. Schools. She took eight hundred and eighty measurements. She measured at adult height. Then she crouched to measure at child height. She tested distance. Position. Airflow. Again and again. What she found was impossible to ignore. Many high speed hand dryers exceeded one hundred decibels at a child’s ear level. Some reached levels comparable to emergency sirens. Levels that medical authorities already prohibit in children’s toys because of the risk of hearing damage. Children were not imagining the pain. They were standing closer to the source. Their ears were smaller. And the sound hitting them was stronger than what adults experienced. Manufacturers claimed their machines were safe. Nora’s data showed real world conditions told a different story. And she did not stop there. Still in middle school, she began designing a noise reduction filter. A simple modification that lowered sound output by more than ten decibels. Proof that the problem was not inevitable. Then she did something most adults never do. She wrote a scientific paper. Her first submission was rejected. So she revised. She corrected. She tried again. In June 2019, Paediatrics and Child Health published her study. Its title was direct and impossible to dismiss. Children who say hand dryers hurt my ears are correct. She was thirteen years old. Health professionals paid attention. Researchers cited her work. Parents shared it. Manufacturers requested meetings. All because a child trusted her own experience enough to test it. Nora did not raise her voice. She measured. She documented. She proved. And in doing so, she reminded the world of something simple and easily forgotten. Sometimes the smallest voices are describing the biggest problems. You just have to listen.

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Tom
Tom@tomcrawshaw01·
His company found out he was using AI to do 70% of his job. Instead of getting fired, he's now making $200K and running the department. Here's what he did differently than everyone else... Most employees use ChatGPT to write emails faster. Maybe automate their calendar. Some meeting notes. Their boss doesn't care. Your boss doesn't get their annual bonus because you answer emails 20% faster. They get it when revenue goes up, costs go down, and the team ships faster. That's exactly what this guy figured out. He stopped using AI to make himself faster. He started using it to automate the work that actually moves the needle for his company. Lead qualification. Sales pipeline. Customer follow-ups. Stuff that directly impacts revenue. Then he did something most people skip entirely. He built a presentation showing leadership exactly how much time and money his automations were saving them. He didn't pitch "this makes my job easier." He pitched "this saves YOU 15 hours a week and increases output by 3x." By the end of that meeting, he had full buy-in from every person in the room. 42% raise. New title. Remote work. And he's not the only one. Companies are now paying AI-skilled employees 56% more and promoting them 38x faster. Not because they're smarter. Because they learned a 3-step system that turns you from a regular employee into the one person your company can't afford to lose. I broke down the entire system in a free training: Step 1: How to accelerate your output using AI (the right way) Step 2: How to build automations that work without you Step 3: The adjacent skills that make you irreplaceable Follow + comment "OPERATOR" and I'll DM you the full training.
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Jediphone
Jediphone@Jediphone·
@DellAnnaLuca Looks like they’ll eat the competition for breakfast. And anything Lindy will have real staying power. Can they turn information into knowledge though? “Knowledge is information that has causal power.” ~ @DavidDeutsch
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Jediphone
Jediphone@Jediphone·
@AshmanR00nz @BrianRoemmele When a difficult situation arises, remember that a clenched fist is not open to the solution. When you feel anger, your closed mind is not open to better possibilities. 
A clenched fist cannot receive anything; Only the open mind catches the next good idea or opportunity.
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Jediphone
Jediphone@Jediphone·
@argosaki @grok This looks and sounds fake. Any research or evidence to back this up?
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GP Q
GP Q@argosaki·
A biological miracle is happening in cognitive enhancement phototherapy centers. Near-infrared light (1,064nm wavelength) penetrates the skull, stimulating mitochondria in prefrontal cortex neurons to produce 230% more ATP energy. Subjects showed IQ increases of 18-23 points after 40 sessions over 8 weeks, with fluid intelligence improvements of 41% and processing speed gains of 67%. Effects plateau at 14 months before gradual decline. The infrared light supercharges cellular energy production in brain tissue, allowing neurons to fire faster, form more connections, and sustain complex thinking longer. It's like upgrading from regular fuel to rocket fuel for brain cells. Silicon Valley executives sit under infrared helmets during Zoom calls, students wear them while studying, and chess grandmasters use them before tournaments—all chasing those extra IQ points. #IQEnhancement #Photobiomodulation #CognitiveUpgrade #InfraredTherapy #BrainPower
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Jediphone
Jediphone@Jediphone·
@reasonisfun Yes - if all that is true, it’s mind blowing. The importance of breast feeding goes way up, and I would think that societies would want to prioritize that mother-child relationship by giving universal maternity leave for a year or more. And some countries already do.
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Lulie
Lulie@reasonisfun·
Holy cow.
GP Q@argosaki

BREASTMILK She thought she was studying milk. What she uncovered was a conversation. In 2008, evolutionary anthropologist Katie Hinde was working in a primate research lab in California, analyzing breast milk from rhesus macaque mothers. She had hundreds of samples and thousands of data points. Everything looked ordinary—until one pattern refused to go away. Mothers raising sons produced milk richer in fat and protein. Mothers raising daughters produced a larger volume with different nutrient balances. It was consistent. Repeatable. And deeply uncomfortable for the scientific consensus. Colleagues suggested error. Noise. Statistical coincidence. But Katie trusted the data. And the data pointed to a radical idea. Milk is not just nutrition. It is information. For decades, biology treated breast milk as simple fuel. Calories in. Growth out. But if milk were only calories, why would it change depending on the sex of the baby? Katie kept digging. Across more than 250 mothers and over 700 sampling events, the story grew more complex. Younger, first-time mothers produced milk with fewer calories but significantly higher levels of cortisol—the stress hormone. The babies who drank it grew faster. They were also more alert, more cautious, more anxious. Milk wasn’t just building bodies. It was shaping behavior. Then came the discovery that changed everything. When a baby nurses, microscopic amounts of saliva flow back into the breast. That saliva carries biological signals about the infant’s immune system. If the baby is getting sick, the mother’s body detects it. Within hours, the milk changes. White blood cells surge. Macrophages multiply. Targeted antibodies appear. When the baby recovers, the milk returns to baseline. This was not coincidence. It was call and response. A biological dialogue refined over millions of years. Invisible—until someone thought to listen. As Katie reviewed existing research, she noticed something unsettling. There were twice as many scientific studies on erectile dysfunction as on breast milk composition. The first food every human consumes. The substance that shaped our species. Largely ignored. So she did something bold. She launched a blog with a deliberately provocative name: Mammals Suck Milk. It exploded. Over a million readers in its first year. Parents. Doctors. Scientists. People asking questions research had skipped. The discoveries kept coming. Milk changes by time of day. Foremilk differs from hindmilk. Human milk contains over 200 oligosaccharides babies can’t digest—because they exist to feed beneficial gut bacteria. Every mother’s milk is biologically unique. In 2017, Katie brought this work to a TED stage. In 2020, it reached a global audience through Netflix’s Babies. Today, at Arizona State University’s Comparative Lactation Lab, she continues reshaping how medicine understands infant development, neonatal care, formula design, and public health. The implications are staggering. Milk has been evolving for more than 200 million years—longer than dinosaurs walked the Earth. What we once dismissed as simple nourishment is one of the most sophisticated communication systems biology has ever produced. Katie Hinde didn’t just study milk. She revealed that nourishment is intelligence. A living, responsive system shaping who we become before we ever speak. All because one scientist refused to accept that half the story was “measurement error.” Sometimes the biggest revolutions begin by listening to what everyone else ignores.

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Hugo Mercier
Hugo Mercier@hugomercierooo·
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿. No setup. Secure. Infinitely scalable. We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱. After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone. RT and comment “Twin” — first agents on us. 👇
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: UnitedHealth stock, $UNH, extends its decline to -20% on the day, erasing -$65 billion of market cap. The stock is now on track for its worst day since April 17th, 2025.
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Jediphone
Jediphone@Jediphone·
@martypartymusic ?? didn’t the CFMA indirectly contribute to the Great Financial Crisis of 2008 where average folks lost their homes and big banks (who used the derivatives to setup the crash) got bailed out? And wasn’t Bitcoin created as a reaction to that? What would Satoshi say about Clarity?
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MartyParty
MartyParty@martypartymusic·
The upcoming Clarity Act is the modern crypto version of the 2000 commodities bill referred to as the Commodity Futures Modernization Act of 2000 (CFMA), a major U.S. federal law signed by President Bill Clinton on December 21, 2000, as part of a larger appropriations bill (Public Law 106-554). The CFMA expanded US derivative market from $100 trillion to $600 trillion in 10 years making the US the center of global finance. The Clarity Act is cryptos version of that bill. It takes the chaotic crypto markets and implements rules enabling massive institutional investment and green lights DeFi.
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Jediphone@Jediphone·
@_The_Prophet__ Cannibal Capitalism - corporations take the blood and then marrow for their own profits. Pay the people (yes real human beings) who take the worst jobs less and deliberately keep them down by not even offering a chance at higher pay. No need for dystopian Sci-fi - it’s here now!
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SightBringer
SightBringer@_The_Prophet__·
⚡️This is a high-coherence whistleblower post confirming what many suspected but couldn’t prove: That food delivery apps are algorithmically exploiting both drivers and customers through engineered psychological manipulation and concealed systemic fraud. Here’s the structural breakdown: 1. “Priority Delivery” is algorithmic gaslighting •The fee does not increase delivery speed. •The app slows down non-priority orders to make paid orders appear faster. •The value is created by worsening the baseline, not improving the premium tier. •Psychological manipulation is sold as a service. 2. “Desperation Score” is weaponized behavioral profiling •Drivers are scored based on how quickly and consistently they accept low-paying orders. •Those who accept garbage orders are labeled as “high desperation.” •Once tagged, they are withheld from better-paying orders to extract maximum labor for minimum cost. •It’s a digital caste system governed by internal compliance. 3. “Benefit Fees” are semantic laundering •Regulatory fees framed as driver protection are redirected to anti-union legal funds. •Customers believe they’re helping drivers. •They’re funding corporate legal defense. 4. “Tip Theft 2.0” is legalized predictive exploitation •Tip data is used to lower base pay predictions. •The algorithm predicts what you’ll tip, then reduces the company’s contribution. •Generosity is used as a subsidy mechanism to shift wage burden to the customer. •The illusion of transparency replaces actual fairness. 5. The internal schema dehumanizes •Drivers are referred to as “human assets” in system architecture. •Language reinforces the view that labor nodes are expendable game tokens. •Planning meetings optimize for fractional margin gains over human dignity. 6. The strategy is denial-of-agency through opacity •Everything is legal because nothing is disclosed. •Fees, scores, dispatch logic, and base pay algorithms are black boxes. •Drivers and customers are both blindfolded while the system feeds on behavioral data. 7. This is not an exception. It’s a blueprint •This pattern matches what’s happening in rideshare, gig writing, content moderation, and customer service. •What looks like a scam is actually a platform logic: monetize desperation, mask extraction, externalize moral cost. This is a glimpse into the structure of algorithmic exploitation as it currently operates: •Incentive distortion •Asymmetry of information •Exploitation masked as choice •Optimization that crushes the human variable This leak is coherent with every other structural exploit we’ve detected. It is not anomalous. It is the system.
Jesse@d0wnsideofme

holy fucking shit

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Jediphone
Jediphone@Jediphone·
@BrianRoemmele Brian, I luv ya man, you had me at Equilibrium-Driven Sparsification, but please eradicate the use of the phrase “This Changes Everything” from your vocabulary. Literally nothing changes everything, but so many YouTubes and Xtweets proclaim it that is almost an insta-delete.🙏
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Breakthrough: Game-Theoretic Pruning Slashes Neural Network Size by Up to 90% with Near-Zero Accuracy Loss: Unlocking Edge AI Revolution! I am testing this now on local AI and it is astonishing! introduced Pruning as a Game. Equilibrium-Driven Sparsification of Neural Networks, a novel approach that treats parameter pruning as a strategic competition among weights. This method dynamically identifies and removes redundant connections through game-theoretic equilibrium, achieving massive compression while preserving – and sometimes even improving – model performance. Published on arXiv just days ago (December 2025), the paper demonstrates staggering results: sparsity levels exceeding 90% in large-scale models with accuracy drops of less than 1% on benchmarks like ImageNet and CIFAR-10. For billion-parameter behemoths, this translates to drastic reductions in memory footprint (up to 10x smaller), inference speed (2-5x faster on standard hardware), and energy consumption – all without the retraining headaches of traditional methods. Why This Changes Everything Traditional pruning techniques – like magnitude-based or gradient-based removal – often struggle with “pruning regret,” where aggressive compression tanks performance, forcing costly fine-tuning cycles. But this new equilibrium-driven framework flips the script: parameters “compete” in a cooperative or non-cooperative game, where the Nash-like equilibrium reveals truly unimportant weights. The result? Cleaner, more stable sparsification that outperforms state-of-the-art baselines across vision transformers, convolutional nets, and even emerging multimodal architectures. Key highlights from the experiments: •90-95% sparsity on ResNet-50 with top-1 accuracy loss <0.5% (vs. 2-5% in prior SOTA). •Up to 4x faster inference on mobile GPUs, making billion-parameter models viable for smartphones and IoT devices. •Superior robustness: Sparse models maintain performance under distribution shifts and adversarial attacks better than dense counterparts. This isn’t just incremental – it’s a paradigm shift. Imagine running GPT-scale reasoning on your phone, real-time video analysis on drones, or edge-based healthcare diagnostics without cloud dependency. By reducing the environmental footprint of massive training and inference, it also tackles AI’s growing energy crisis head-on. The implications ripple across industries: •Mobile & Edge AI: Affordable on-device intelligence explodes. •Green Computing: Lower power draw for data centers and devices. •Democratized AI: Smaller models mean broader access for startups and developing regions. As AI scales toward trillion-parameter frontiers, techniques like this are essential to keep progress practical and inclusive. Pruning as a Game: Equilibrium-Driven Sparsification of Neural Networks
(PDF: arxiv.org/pdf/2512.22106) I will continue my testing but thus far results are robust!
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Jediphone
Jediphone@Jediphone·
@balajis .@karpathy So, extrapolating from coding, if we are wetware-limited in how fast we can verify the AI code, are we going to be wetware-limited when Claude or Gemini recommend we do something like turn off most fossil fuels and convert to solar? Our minds will limit AI’s progress?
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Balaji
Balaji@balajis·
I'm not saying I fully believe this yet. And I'm not saying that there are zero gains or anything like that. But we may still end up wetware-limited, more than we think. Loading in the context & writing the prompts is a lot like setting up the environment & writing the programs.
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