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443,440 次观看 • 2 年前 •via X (Twitter)

10 条评论

Musk Jnr. 🀄🇺🇸 的头像
Musk Jnr. 🀄🇺🇸2 年前

you don pami 😭😭

Sleemzy 🎭 的头像
Sleemzy 🎭2 年前

Nothing wey you wan tell me Gilmore dey play ball 😹🔥

JABULANI 的头像
JABULANI2 年前

Gilmore! Take your flowers 🌹 You sabi dis thing

Lahnrhe 的头像
Lahnrhe2 年前

Mission accomplished😂😂

GheêDèx👀 的头像
GheêDèx👀2 年前

Omo Gilmore sef sabi play ball. See touches abeg..😮‍💨😂

sparks 的头像
sparks2 年前

Your yansh go turn razor 😂😂

Four-eyed Edo Boy™ 的头像
Four-eyed Edo Boy™2 年前

😭😂😂😂😂

Sleemzy 🎭 的头像
Sleemzy 🎭2 年前

I hate it when coach wan convert me go defense 😹😹

Epl Pidgin 的头像
Epl Pidgin2 年前

Onana dey work o, see am for post🤣

Sont_Mano 的头像
Sont_Mano2 年前

Banger boy

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Nathaniel Gillis: "Aliens aren't from space. They're ultra-terrestrials sharing our reality and wearing different masks" 👽😱 "The beings at Varginha were conjured using black magic rituals" "I am more along the lines of the ultraterrestrial model. I do not believe we're dealing with extraterrestrials. The evidence I've collected leads me to believe that we're dealing with something that's here. Right here." These entities share specific layers of reality with us but remain absent from others. In one documented case a UAP passed through an entire treeline without disturbing the branches yet left clear landing imprints and disturbed the grass where it touched down. Betty Luca described beings walking straight through her closed kitchen door during an encounter yet they could physically hold objects she handed them. The same pattern appears in hauntings where shadow figures pass through hallways open doors and walk straight through closets. The shared substrate allows physical interaction in some spaces while other aspects of our reality simply do not exist for them. Conjuring creates temporary merged spaces where these ultra-terrestrials can incarnate or interact more fully in our dimension. The same underlying phenomenon appears as aliens demons or Djinn depending on human expectations and the beliefs we project onto it. Paul Eno described two evolving circles of reality that touch at certain points creating the fleeting substrate where these entities climb into our world. It is a co-present intelligence that has always been here not visitors from distant planets or purely separate dimensions. This model explains high strangeness as moments when the overlapping layers of our shared reality become visible.

Interstellar

89,222 次观看 • 23 天前

Explainer Video of all the Settings of Hiddentrades - Hidden Liquidity Finder It's quite a long one (44 minutes), but wanted to touch on everything important! If you have any questions or suggestions let me know! Giving away 3 Beta access: just Like, RT and Comment! Overview with timestamps: Core Detection & Filtering [00:30] History: Controls how many past candles the script checks (capped at 10,000). Lowering this number significantly speeds up the script's loading time. [01:32] BB Formation Window: Sets how many candles into the future the script will look to see if an order block converts into a breaker block. [02:25] Partial Mitigation: Defines the percentage an order block can be pierced by price action before the setup is considered fully mitigated and invalidated. [04:48] Use ICT OBs: Enforces stricter ICT (Inner Circle Trader) rules. It requires the displacement to have three consecutive confirmation candles moving in the opposite direction. [06:48] Allow Two Candle Impulse: A modifier for the ICT setting that reduces the required displacement confirmation from three candles down to two. [07:39] Only Show Multi-TFs: Cleans up the chart by hiding single breaker blocks, displaying only the stronger multi-timeframe setups. [08:13] Early BB Detection: Allows breaker blocks to confirm and form directly on the next candle after the displacement, helping you spot setups earlier. Order Block & Gap Configuration [09:30] Strict OB Filter: Makes pivot order blocks stricter by validating the height of the specific displacement candles surrounding the block. [11:24] Requires Same Direction Candle: Ensures the candle immediately preceding the order block is moving in the same direction, creating a true pivot point. [12:18] Use Wicks for Pivot Detection: Uses the extremes of the candle wicks to calculate the pivot low/high, rather than relying strictly on the candle bodies. [13:16] OB Candle Color Filter: Adds a strict color requirement to the candles forming the order block to ensure it perfectly aligns with traditional definitions. [14:08] OB Side Mode (Pivot vs. Chain): Allows the script to follow a continuous chain of fair value gaps (FVGs) rather than strictly requiring a perfect pivot setup. [16:13] Displacement Candle Setup: Explains how the script handles displacement candles that open directly inside the order block (common with market gaps). [17:17] Allow Gaps to Create a Breaker Block: Very useful for trading stocks with pre/post-market price jumps, allowing the physical price gap itself to serve as a valid trigger. [18:42] Body Size Filtering: Allows you to set a minimum percentage size for order blocks, with separate inputs for lower, middle, and higher timeframes. Time Frame (TF) Selection Modes [20:07] Auto Mode: Automatically searches up to 20 timeframes above and 20 timeframes below your current chart to find setups. [22:10] Auto From Selected: Uses the auto-search logic, but strictly limits the search to the specific timeframes you have manually checked off. [23:49] Selected Only: Scans exactly the timeframes you select, regardless of the timeframe you are currently viewing on the chart. Visual & Chart Display Settings [25:04] Merge Nearby Breaker Blocks into Clusters: Combines multiple overlapping or nearby zones into one clean, unified cluster zone. [27:27] Show Order Blocks Inside Cluster: Hides isolated single order blocks, only visualizing those that contribute to a larger multi-timeframe cluster. [29:03] Distance Filter: Instantly hides any setups that fall outside a set percentage range (e.g., 10%) from the current market price. [30:01] Show Forming Breaker Blocks: Displays upcoming setups in a faint gray color before the final confirming candle has officially closed. [31:52] Hide Mitigated BB Always: Automatically removes breaker blocks from your screen the moment price action fully mitigates them. [34:10] Show Recently Deleted Breaker Blocks: Keeps failed or mitigated blocks visible in gray for the last 240 candles — an excellent feature for backtesting. [36:03] Text Offsets: Adjusts the padding of the text labels so they sit cleanly away from the chart blocks without overlapping. [37:39] Merge Overlapping Labels: Intelligently combines the text labels of two nearby breaker blocks into a single centered tag to prevent visual clutter. [39:23] Colors and Opacity: Customizes block colors and automatically fades the opacity of lower-timeframe blocks while keeping higher-timeframe blocks solid and prominent. [41:32] Bold Text Label: A simple toggle to bold the chart labels for easier reading.

Marius 👁️⚡🌱

18,201 次观看 • 1 个月前

💥EGGPLANT BREADWICH This is another lowcarb bread hack thats ACTUALLY good and one of my favorites. Makes two servings at 350 calories, 20g protein, and you can add chicken or steak to make the protein more substantial. But honestly, it was just as good without any of those - it gave me some serious Mediterranean food vibes with all these summer flavors. If you want a low-carb sandwich that hits the spot, this one’s for you. The cheese is actually baked into the eggplant, making a great flatbread like vessel that you can use to make your favorite lowcarb, keto-friendly sandwich. Top it up with whatever you want. Full recipe below, and you can always comment “BREAD” and I’ll send you my free mini lowcarb breadwhich ebook. Here’s how to make it (makes 2 servings): 1.Preheat your oven to 400F. Grab 1 large eggplant and thinly slice it using a knife, mandoline or vegetable peeler. 2.Season them with salt, lay the slices on a paper towel and pat them dry after 5 mins. 3.Grab an oven-safe tray, line it with parchment paper, and sprinkle a thin layer (1 serving) of shredded cheese (ideally mozzarella) directly on the paper. Lay out your eggplant slices slightly overlapping to form a rectangle. then add another 2 servings of shredded cheese on top. 4.Pop it in the oven for 27-30 mins until the edges are golden and the cheese is crisp. Let it cool slightly. 5.I used 2 tbsp of pesto as the base, added 2oz of thinly sliced fresh mozzarella, a thinly sliced tomato, a handful of arugula, a couple of basil leaves, lots of fresh cracked pepper, and a nice drizzle of balsamic glaze. 6.Carefully roll it up tightly from the bottom, pressing gently as you go to keep everything compact. Then cut into it the middle like a sharp knife, and enjoy. If you try this, be sure to let me know on SHREDHAPPENS. ENJOY! . . . . #lowcarb #lowcarbrecipes #healthyrecipes #keto #mediterraneanfood

Shredhappens

41,038 次观看 • 29 天前

the way seungmin talks about music and performing 💞 🐶: when i am not prepared or haven't practiced hard enough, the stress level of making a mistake is very high. so before i leave for a concert overseas, i train to be 100% ready. 🐶: there's always pressure, and i know my role is big. i try to prepare through continuous practice and by believing in myself. 🐶: i try to sleep regularly during the tour. there is a limit to the human body, so when i'm tired, my throat closes up or the sound doesn't come out right. i invest a lot in sleep during the tour so that i can fully recover my body and mind to perform at my best in front of the audience. i thought i wouldn't be able to recover if i fall apart. so instead of falling apart and being down, i didn't give myself a choice but forced myself to practice more or train harder. i was very anxious about going up to perform. even after rehearsing with the members, i stayed afterward. 🐶: i know this opportunity is not to be taken for granted and should be held with responsibility. with so many people coming to our concert, i want to give every fan at the concert satisfaction when they go home. i tried my best to hold up my end of the performance. 🐶: performing on a huge stage, like at an outdoor festival with the crowd bouncing to our music and their hands up, is the image of a singer that i have dreamt about. throughout our stadium tour, there were overlapping scenes. it's so similar to what i've been dreaming of. 🐶: when i'm on stage with the members, i realize how happy and sincere i am about this job that i have. 🐶: ever since i was young, i could feel the strength of music as being powerful, and its presence must live on. i want to preserve music and believe it's my role to immerse people in it. 🐶: music is my life.

lena ✰

12,659 次观看 • 4 个月前

** Mega Parodius Update ** The team have been busy over last couple of weeks , implementing more of the games engine. WIP since last update : White Bell power up ( this is the text attack ) Blue Bell power up ( full screen explosion ) Catboss & animating Trees Updated Lazers to work on the BGB layer ( Plane A updated to 64x64 tilemap ) . Pyron has been doing excellent work on Blue bell Explosion, Whitebell power up text gfx - the slogans are great !! Arcade quality tree animations have been added. Feeding me a lot of videos so we can replicate the arcade port more accurately. Vector Orbitex has updated the music to mark IV for stage 1 making it smaller yet again , he's also added the Orchestra Hit in , potentially more samples can be added back in now also as the song now is a miniscule 57 kb. I keep telling him its 2025 - not 1990 for rom sizes haha , a professional is always a professional though !! The Blue Bell power up uses the static large sprite class I made for SOTA where it supports unlimited amount of sprites per object and detects all the reverses / flips & uses the same tile pointers where it can and crunches it down into single sprite object. We use up to 40 sprites in the Explosion but only 147 tiles needed in vram thanks to clever use of mirroring. The Catboss is easily the hardest enemy in the level for a few reasons - we also had to free up Plane A so the boss could shift upwards onscreen, so lazer effects were shifted to Plane B. The bit that caused me the most issues was when he sits in the water line between the two islands. He is quite wide and also has overlapping palettes and animating parts , to do it solely with sprites would have lead to severe dropout at times. At the waterline we have to simulate 3 background planes and sprites at that point and we only have 2 background planes. Luckily the MD sprite engine is very flexible and we were able to recreate the arcade look at this point with some sprite trickery, the water-line is now sprites . So we use Plane A + sprites to recreate him and use a lot of plane animation to reduce the amount of sprites needed. For example the face, the tail the propeller are all plane A animations . I analysed the SNES/PCE versions and we use less sprites than those versions for him so that will help reduce the chance of sprite dropout when attacking. The Catboss is only about 1/2 done , all damage states, the onboard penguin factory, bullets from Cannons yet to added etc. He wraps around at the end of the vid as theres no destruction routine in for him yet . No extra enemies in at this stage , tackling the hard parts first etc. We took the arcade GFX for the Trees that sway around under the Catboss, all the animations are in. There were some DMA bandwidth issues originally I had to sort out as the Catboss has several animating parts + swaying Trees was leading to overload so after some load balancing it all is playing nicely !! We still have loads of stuff to add , collisions are not in - normal enemy waves etc but yeah a lot of future issues were sorting out just getting this far. So the team is very happy with the progress !! #SGDK #Parodius #SegaGenesis #SegaMegadrive #indiegame

Shannon Birt

19,284 次观看 • 9 个月前

RICO INVESTIGATIONS EXPLAINED AND WHY IT IS NECESSARY IN TAKING DOWN THE NWO People just have no clue how real world RICO operations work. They foam at the mouth over arrests but have no clue how we actually get there. If it were up to them they would fumble the ball and more children would die. RICO investigations are a powerful tool because it flips the traditional prosecution model on its head. Instead of starting at the top where leaders insulate themselves with layers of deniability, RICO allows investigators to target the entire criminal enterprise as an interconnected system. Low level foot soldiers are often the most exposed. They handle day-to-day crimes, leave paper trails, get arrested more frequently, and lack the legal resources or loyalty protection enjoyed by bosses. By charging them under RICO, prosecutors dramatically raise the stakes, turning what might have been minor charges into serious Federal time. THIS PRESSURE CREATES LEVERAGE AND LEVERAGE CREATES COOPERATION. Read that 5x while looking in the mirror at yourself. The process typically follows a deliberate escalation strategy: 1. Investigators build baseline cases against street-level actors using surveillance, wiretaps, financial records, and informants 2. Prosecutors charge these individuals with RICO predicates that tie their actions to a broader criminal organization 3. Facing long sentences, defendants are offered plea deals in exchange for testimony, documents, and insider knowledge 4. Cooperating witnesses corroborate each other, strengthening credibility and mapping the hierarchy 5. This cumulative evidence is then used to indict mid-level managers and, ultimately, leadership. Each cooperator reduces uncertainty, fills gaps, and confirms intent, turning scattered crimes into a coherent, provable conspiracy. This method dismantled the American Mafia. In the 1980s, the use of RICO against the Five Families of New York relied on flipping soldiers and capos who testified about orders, kickbacks, and chains of command. Evidence that would have been impossible to obtain from bosses alone. Sammy “The Bull” Gravano’s cooperation against John Gotti is a classic example. Lower level exposure led to top level conviction. RICO works not because everyone talks immediately, but because enough people eventually do, and their overlapping testimony forms a rock solid narrative that juries can trust. By climbing the ladder one step at a time, prosecutors turn an organization’s own structure into the instrument of its collapse. Stop being a simpleton. Understand the what and whys. Use your brain. Wake up from your CNN spoon fed drivel that is intentionally created to be spread on social media and fed to the mindless drone who lacks critical thinking. People need to stop reacting emotionally and start thinking strategically about how complex criminal networks are actually dismantled. Focusing only on a handful of high profile names to satisfy public outrage may feel good in the moment, but it does little to stop large, deeply embedded trafficking and Satanic Ritual Abuse networks from continuing to operate. These networks of criminal syndicates and organized corruption, are global, layered, and long standing. They have been operating for thousands of years. Children are being sacrificed and trafficked by Satanic pedophile murder rings. You think they haven't thought of every angle to cover their tracks? They've had nothing but time, money, and power. They survive because they anticipate scruitiny and insulate leadership. Believing that exposure of a few visible figures will end systemic exploitation ignores how power structures preserve themselves and adapt. If the goal is real accountability rather than symbolic victories, investigations have to be methodical and patient. That means building cases from the ground up, following money and logistics, forcing cooperation, and dismantling entire systems not just removing faces. Those will come. This process takes time, and more will come to light if it’s done correctly. The light always shines brighter than the darkness.

Redpill Drifter

25,537 次观看 • 5 个月前

🚨 PART 1: Human Bodies as 6G Terahertz Antennas in the Internet of Bio-Nano Things (IoBNT) & Internet of Bodies (IoB) 🚨 This is not conspiracy. This is peer-reviewed science, patents, academic papers, and public research from top institutions and researchers. The convergence of "graphene-based nanomaterials", "terahertz (THz) communication", "optoelectronics", "Visible Light Communication (VLC)", and "Wireless Nanosensor Networks" is turning the human body into a node in the global network; harvesting energy, sensing, transmitting data, and potentially interfacing with the brain and autonomic systems. The Core Concept: Graphene oxide and related materials (GRMs) in the body (via vaccines, environmental exposure, or intentional delivery) act as plasmonic nano-antennas. THz waves (key for 6G) interact with these, enabling intra-body communication, energy harvesting, and data exchange in the "Internet of Everything." Key Scientific Foundations & Full Links 1. Graphene and Related Materials for the Internet of Bio-Nano Things Title: Graphene and related materials for the Internet of Bio-Nano Things (Perspective Paper, APL Materials, 2023) Authors/Researchers: Murat Kuşcu, Bige D. Unluturk, et al. (Building on foundational work in nanonetworks) This details how GRMs bridge biological systems with electromagnetic networks for in-body sensing and actuation. 2. Graphene-Based Plasmonic Nano-Antenna for Terahertz Band Communication Title: Graphene-based Plasmonic Nano-Antenna for Terahertz Band Communication in Nanonetworks (IEEE, 2014) Key Researchers: Josep Miquel Jornet & Ian F. Akyildiz Exploits Surface Plasmon Polaritons in graphene nanoribbons for efficient THz nano-antennas. 3. A Review on Wireless Nanosensor Networks Based on Electromagnetic Communication Title: A Review on Wireless Nanosensor Networks Based on Electromagnetic Communication (PDF) Authors: Vishranti Rupani, Sunera Kargathara, Jigisha Sureja (2015) Covers architecture for electromagnetic WNSNs in the THz band. 4. Human Body as Antenna for 6G Energy Harvesting (VLC/RF) Title: Next-generation Wireless Technology May Leverage Human Body as an Antenna (UMass Amherst, 2023) Researchers: Jie Xiong, et al. (Bracelet+ copper coil amplified 10x by human body for harvesting leaked RF/VLC energy). Popular Mechanics Summary: 5. Internet of Bio-Nano Things Foundational Paper Title: The Internet of Bio-Nano Things (IEEE, 2015) Key Pioneer: Ian F. Akyildiz (Georgia Tech, N3Cat) widely cited founder of nanonetworks research. Major Players & Institutions Involved - Ian F. Akyildiz - Pioneer of electromagnetic nanonetworks and IoBNT concepts. - Josep Miquel Jornet - Graphene plasmonic THz antennas/transceivers. - Murat Kuşcu & team - Graphene for practical IoBNT implementation. - University of Massachusetts Amherst (Jie Xiong et al.) Human body as 6G antenna/energy harvester. - Georgia Tech Broadband Wireless Networking Lab / N3Cat (UPC Barcelona) Core nanonetworks research. - World Economic Forum / Klaus Schwab - Promoted "Fourth Industrial Revolution" and Internet of Bodies concepts. - RAND Corporation - Reports on Internet of Bodies opportunities/risks. - DARPA & related defense research - Neural tech, brain interfaces overlapping with THz sensing (cross-referenced in broader BCI/6G discussions). - Vaccine/Graphene discussions - Often link to papers on nanomaterials; real research exists on graphene in biomedical delivery, but injection claims remain debated/speculative. THz reading EEG-like signals, vaccinated bodies as antennas, autonomic control via Wireless Body Area Networks. This aligns with documented research on intra-body THz comms, plasmonic sensing, and body-centric networks; though real deployment (as of 2026) is research-phase, not widespread. Call to Action: This is Part 1. It exposes the documented tech foundation. Repost, research every name/paper, demand transparency on nanomaterials in medicine, 6G rollout, and bio-convergence. Comment "PART 2" for the next section (more on optoelectronics, neuromorphic devices, virus lasers, Ian Hurn0 threads, additional patents/players, and full thread expansions). Truth-seeking note: These are real advancements in nanotech/biomedicine with huge potential for health monitoring and high-speed comms. They also raise profound questions on privacy, consent, dual-use (surveillance/control), and safety. Always verify primaries. Full sources above; dig in.

Noah B. Price

22,110 次观看 • 2 个月前

This is the Piano Sonata No. 16 in C major, K. 545 (commonly known as the Sonata Facile or the Sonata for Beginners) by the composer Wolfgang Amadeus Mozart. The performer of this work is the world-renowned pianist and conductor Daniel Barenboim. To seek the deepest wellspring of the greatness of K. 545, we must descend to the very notes themselves as they take shape upon the keys. The law of growth from the opening notes: Many praise the initial chain of three notes, C–E–G. Yet what merits even greater attention is the interval between them: Mozart allows the melody to ascend through two successive thirds (C to E being a third, and E to G another third). He does not leap at random, but adheres to a natural mathematical order. The human mind possesses an innate sensitivity to, and affection for, such patterns; thus, from the very first moment the music sounds, it bestows upon us a profound sense of rightness and euphony. Nevertheless, Mozart’s genius lies in knowing precisely when to cease. Had the melody continued its ascent unchecked—into C–E–G–B–D and beyond—the piece would at once have become a dry technical exercise. Instead, having reached the high G, Mozart turns the line downward, tracing a perfect arc. This motion recurs throughout the work, mirroring with uncanny fidelity the biological rhythm of natural breathing: inhalation must be followed by exhalation; ascent to a climax must yield to a gentle descent into repose. The singing melody and its inner dialogue: A fine Mozartian phrase always resembles a complete utterance in everyday speech. In the opening sentence of K. 545, the listener perceives a structure with a clear beginning, development, and resting point, akin to the natural intonation of a courteous greeting: “Good day,” rather than a fragmented or superfluous “Good… day… to… you.” Musicologists term this quality cantabile—that is, a truly singable melody. It is why pianists have long passed down the classic dictum: “To play Mozart well, one must first know how to sing.” Nor does Mozart’s music merely sing; it engages in an unbroken conversation. Having presented an idea in the first phrase, he does not hasten to introduce an entirely new subject. The following phrase answers the one before it. It is rather like an intimate exchange between two old friends: one remarks, “What a beautiful day,” and the other replies at once, “Indeed, the sky is so clear.” This tight, organic connection—without interruption, overlapping, or abrupt shifts of topic—imbues the work with an unassailable inner logic. The left hand and the breathing of the earth: Many mistakenly regard the left-hand part, with its steady broken-chord figuration (C–G–E–G), as mere monotonous padding intended to fill the voids. In truth, its role is far more profound. Imagine the right-hand melody as a bird soaring and wheeling across the sky. Were the ground beneath it utterly still and silent, the bird would seem suspended and adrift. By maintaining a smooth, continuous motion in the left hand through the Alberti bass, Mozart does not seek to rival the right hand for attention; rather, he creates the subtle yet vital impression that “the earth below is still breathing,” supporting the bird in its flight. It is this union that renders the music so alive and suffused with vital energy. The art of restraint and the weight of every note: The most wondrous aspect of Mozart’s compositional thought is that every note carries an immense functional weight. A note appearing on the third beat of a bar is never merely a pleasing sound. It simultaneously fulfils several duties: it confirms a new harmony, propels the melody forward, prepares the cadence, and maintains equilibrium with the first beat so as to pave the way for what follows. Scholars describe this as the pinnacle of artistic economy: achieving the greatest effect with the most economical means. This restraint is most evident in Mozart’s creation of tension. In the central Development section, he has no need for dozens of clashing dissonances or tempestuous outbursts to unsettle the listener. Like a supremely refined gentleman, Mozart need only raise a subtle eyebrow—through the alteration of a single note or a shift into a nearby minor key—and the listener senses his gravity. As soon as a fleeting unease is felt, he restores the melody to the tonic harmony, bringing back the warm smile of the opening. Such smoothness is made possible by his masterful voice-leading. When moving from one chord to the next, Mozart ensures that no note leaps chaotically. Where a note can remain stationary, it does so; where movement is necessary, he permits it only the shortest possible step to its neighbour. Thanks to these gentle transitions, the listener experiences no jarring sensation of sudden harmonic change. The musical line flows with natural, uninterrupted continuity. Mozart always does less than one expects; he neither prolongs nor embellishes unnecessarily, nor seeks to display cleverness. It is precisely this self-mastery that gives rise to the characteristic elegance and nobility of the Classical style. Finally, if one must identify the deepest source of K. 545’s beauty, the answer lies not in any single bar or isolated triplet of notes, but in a governing principle that runs throughout: every note looks simultaneously in two directions—it is both the natural consequence of what precedes it and the logical preparation for what follows. One may picture the entire sonata as a chain forged with exquisite precision. Each individual link may appear unremarkable in isolation, yet if even one is altered or removed, the whole structure collapses and loses its strength. The listener feels that K. 545 is “absolutely right” and perfect not because of any single overwhelming moment, but because the entire chain of relations—between notes, phrases, and harmonic progressions—moves with such effortless fluency and naturalness that every trace of the human hand arranging it is effaced.

𝗖𝗹𝗮𝘀𝘀𝗶𝗰𝗮𝗹 𝗠𝗲𝗹𝗼𝗱𝗶𝗲𝘀

31,058 次观看 • 25 天前

Stanford professor Judy Fan went on stage at MIT and broke down why humans are so good at making the invisible visible... And why AI hasn't actually learned to "see" the way we do. It completely changes how you think about Human Intelligence v/s Artificial Intelligence: 1. Nature never gave us straight lines or sharp corners. The number line, the coordinate plane, even basic geometry are all human inventions. We created tools that do not exist in nature simply because we needed a way to think more clearly. 2. The coordinate system Descartes invented solved a problem that had stumped mathematicians for centuries, doubling the volume of a cube. Once invented, this tool became so indispensable that virtually every math curriculum on Earth still depends on it. 3. Humans have been doing this for at least 30,000 to 80,000 years. The story of human progress is inseparable from the story of marking up our environment, from cave walls to Galileo's telescope to Feynman diagrams of particles we will never see with our own eyes. 4. Every major scientific breakthrough relied on a visual tool that made something invisible visible. Darwin needed side-by-side illustrations of finches to see variation that was otherwise too subtle to notice. Cajal needed detailed drawings of neurons under a microscope to map how the nervous system was wired. 5. Fan's research group studies something deceptively simple: how people decide what to put into a drawing and what to leave out. When two people played a drawing game, sketchers used far more detail when the target object had close competitors than when it stood alone, all the way down to using fewer strokes and less time when more detail was not necessary. 6. People are not just copying what they see. They are making constant judgment calls about what level of detail actually serves the goal of communication, and they do this naturally without ever being taught the theory behind it. 7. There is a real difference between drawing something so someone can identify it and drawing something so someone can understand how it works. In one study, participants drew explanatory diagrams that emphasized moving, causal parts of a machine while depictive drawings emphasized background and overall appearance, even though both were drawing the exact same object. 8. Explanatory drawings were genuinely better at helping someone figure out how to operate a machine, but worse at helping someone identify which machine it actually was. You cannot optimize a single drawing for both goals at once. Communication always involves tradeoffs. 9. AI vision models trained on photographs generalize surprisingly well to simple, sparse sketches, suggesting that resemblance based recognition is not just a story we tell ourselves. It is something modern neural networks can replicate with real accuracy. 10. But there remains a large, measurable gap between how confidently AI models recognize sketches and how confidently humans do, even when both groups answer the same questions about the same images. Humans are simply far more reliable and far more consistent in their judgments. 11. When researchers compared human-made sketches to AI-generated sketches under tight stroke budgets, both were similarly recognizable at higher budgets, but diverged sharply as the budget shrank. Humans and AI systems simplify drawings in fundamentally different ways once resources get scarce. 12. Reading a graph is not one single skill. It involves perception, knowing where to look, mapping that visual information onto the actual question being asked, and then translating that mapping into an answer. Each of these steps can independently break down, and people fail for very different underlying reasons even when they land on the same wrong answer. 13. When tested directly against humans on graph reading tasks, leading multimodal AI models, including GPT-4V, showed a meaningful performance gap. Even when a model's overall accuracy approached human levels, its pattern of mistakes looked nothing like how humans actually get things wrong. 14. People choose entirely different types of charts depending on what specific question they are trying to answer, not out of a generic preference for bar charts or scatter plots. Their chart choices closely tracked which visualization would genuinely help someone answer that specific question correctly. 15. Two of the most widely used graph literacy tests in education research turned out to correlate strongly with each other, suggesting they measure overlapping skills. But when researchers dug into the actual error patterns, the standard categories used in textbooks, like "find the maximum" or "identify a cluster," failed to explain why people got things wrong nearly as well as a more basic, underlying four-factor model did. 16. The deepest goal behind all of this research is not just academic curiosity. It is to eventually help students and everyday people develop genuine literacy with the visual tools that science and modern decision-making increasingly depend on, because every generation should be able to see further than the last by standing on the visual tools the previous generation built. Follow Yasmine Khosrowshahi for more ideas on thinking better, becoming clearer & building a more intentional life.

Yasmine Khosrowshahi

884,393 次观看 • 22 天前