{"venture":"fishboneny-com","count":22,"signals":[{"tweet_id":"2067247891664539926","author":"novaramedia","author_name":"Novara Media","text":"A secret society of the world’s elites co-founded by spyware billionaire Peter Thiel has been exposed by hacktivists. \n\nDialog is a private, invitation-only network, co-founded in 2006 by Palantir chairman Thiel and data entrepreneur Auren Hoffman.\n\nThe organisation holds off-the-record summits for powerful figures from the worlds of politics, finance, military, celebrity and tech.\n\nFrequently compared to the Bilderberg Group and World Economic Forum, Dialog has spent two decades refusing to disclose the identity of its members and has a private website.\n\nHowever, a directory in the website’s code was revealed by Swiss hacktivist maia arson crimew, who previously leaked the US government’s no-fly list and hacked surveillance-camera company Verkada, WIRED reported.\n\nThe directory included “participant profiles” for those planning to attend the group’s summits, featuring contact information, facts about themselves - and even if they were “looking for love” at Dialog events. \n\nProfiles included Texas senator Ted Cruz, US treasury secretary Scott Bessent, chief economist at Israel’s finance ministry of Shmuel Abramzon, and a number of Google and Google DeepMind execs. \n\nOther names from the world of entertainment include Hollywood actors Joseph Gordon-Levitt and Josh Brolin, podcast host and author Sam Harris, and tech entrepreneur and longevity obsessive Bryan Johnson, Straight Arrow News reported.  \n\nIn many cases it isn’t known if those named are full members, conference participants or merely guests of the organisation. \n\nWIRED reported that a separate source revealed details of an upcoming Dialog retreat at a venue outside Dublin, Ireland.\n\nThe retreat, due to be held 12-16 August this year, is set to host NATO’s top US commander Alexus Grynkewich, as well as multiple officials from the Trump administration, two US senators, a former Middle East chief of intelligence, and a sitting ambassador to the United States.\n\nAlso present will be six members of the so-called “Paypal Mafia”, and a number of those running the US’s most prominent surveillance and data firms.\n \nThe conference is set to feature sessions titled “Navigating WWIII”, “Battlefield Technologies”, “Money (Does?) Buy Happiness”, “Bring Back Nuclear” and “Build-a-Cult”, the latter of which will be moderated by the founder of the Christian networking site https://t.co/nbjzqZ95gS.","created_at":"Wed Jun 17 14:07:59 +0000 2026","like_count":14223,"retweet_count":5418,"reply_count":394,"resolved_url":"https://pray.com/","resolved_type":"external","venture_tags":["eventbuoy-com","fishboneny-com","oneof1-network","instasoiree-com","dank-nyc","groww-ca"],"editorial_note":"Business model insight for eventbuoy com.","signal_type":"business","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.257Z"},{"tweet_id":"2064049389270958412","author":"afshineemrani","author_name":"Afshine Emrani  MD FACC","text":"I'm a cardiologist. I've held dying hearts in my hands in the cath lab at 3 AM. And I need to tell you something that changes everything about how we prevent heart attacks.\n\nFor decades, the entire field was built on one target: lower LDL cholesterol. Statins save lives — that's settled science. But too many of my patients did everything right — took their statins, hit their numbers, lived clean — and still ended up on my table with a ruptured artery.\n\nWe were treating the smoke while the fire kept burning.\nThe fire is inflammation. And the evidence is now overwhelming.\n\nThe CANTOS trial proved it first — lowering inflammation independent of cholesterol reduced cardiac events. But the newer data is what keeps me up at night.\n\nAI-enhanced CT angiography can now detect inflamed arteries by measuring changes in the fat surrounding your coronary vessels — the perivascular fat attenuation index. Higher inflammation in the fat around even one artery independently predicts cardiac death. When multiple arteries show inflammation, the risk multiplies dramatically — even in patients whose cholesterol looks perfect.\n\nThis isn't theoretical. This is measurable. Right now. On a scan you can get this month.\n\nLow-dose colchicine — a drug that's been around for centuries for gout — is now FDA-approved specifically for reducing cardiovascular events. It works by quieting the inflammatory cascade that destabilizes the plaque sitting in your arteries. A pill that costs pennies is saving lives the statins couldn't reach.\n\nAnd the next wave is already in Phase 3 trials. Ziltivekimab — an IL-6 inhibitor — targets the central inflammatory pathway driving atherosclerosis. Phase 2 data showed a 90% reduction in hsCRP. The ZEUS cardiovascular outcomes trial is enrolling now, with results expected late 2026 into 2027. If positive, anti-inflammatory therapy will become standard in managing heart disease alongside lipid-lowering. The era of inflammation-targeted cardiology is arriving.\nBut it goes deeper than drugs. AI is now predicting heart failure and cardiac events 5+ years before symptoms — integrating CT imaging, electronic health records, and genetic data with accuracy that jumps far beyond traditional risk calculators.\n\nAnd polygenic risk scores — a simple genetic test that flags inherited cardiovascular risk — are now formally recognized as a risk-enhancing factor in the 2026 ACC/AHA guidelines. A single blood draw can reveal risk that's been silently building since birth. Decades before the first chest pain.\n\nHere's what this means for you right now — today:\nAsk your doctor for a high-sensitivity CRP test. It's cheap, routine, and measures the systemic inflammation that standard cholesterol panels completely miss. You can have perfect LDL and inflamed arteries that are quietly preparing to rupture.\nIf your hsCRP is elevated, discuss low-dose colchicine with your physician. It's FDA-approved for exactly this.\nPush for a coronary CT angiography with AI plaque and inflammation analysis if you have risk factors. This isn't the stress test your parents got. This is 3D visualization of your actual arteries — with AI quantifying not just how much plaque you have, but what kind it is and whether the surrounding tissue is inflamed.\nConsider polygenic risk score testing — especially with a family history of early heart disease. It's now guideline-supported.\n\nAnd the foundation that never changes: move daily, eat real food, sleep 7-9 hours, manage stress, and know your numbers — ApoB, Lp(a), hsCRP, fasting insulin.\nI left Iran as a child with nothing. I rebuilt everything in a country that gave me the freedom to become a physician. I've spent twenty years watching patients get second chances.\n\nThe ones who haunt me aren't the ones who died on my table. They're the ones who survived but never acted on what the science was telling them — years before the event that didn't have to happen.\n\nYou can have perfect cholesterol and still have a heart attack. Inflammation plus genetics can drive plaque rupture in arteries that look \"fine\" on a standard panel.\nThe myth that normal cholesterol means you're safe has cost more lives than I can count.\n\nWe now have the tools to detect the fire — not just the smoke. AI to see it. Genetics to predict it. Drugs to quiet it. And the ancient basics — movement, real food, sleep, purpose — to prevent it from starting.\n\nPrevention is the new cure. And the science to make it real is no longer coming.\nIt's here.","created_at":"Mon Jun 08 18:18:17 +0000 2026","like_count":12036,"retweet_count":2071,"reply_count":469,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","eventbuoy-com","fishboneny-com","onesqft-org","dochakki-com","chefaid-nyc","instasoiree-com","renascence-network"],"editorial_note":"Tool relevant to goodalgo network: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.655Z"},{"tweet_id":"2070194632756285539","author":"simonecanciello","author_name":"Simone Canc","text":"whoever built this app is a genius.\n\nan app where your guests record your event and create a shared memory album.\n\n$20k/month, 7.5M views.\n\npeople spending $30k on a wedding won’t think twice about another $10.\n\ntldr: don’t build for broke people. https://t.co/XJsdl5BZ3N","created_at":"Thu Jun 25 17:17:17 +0000 2026","like_count":10826,"retweet_count":585,"reply_count":140,"resolved_url":"https://twitter.com/simonecanciello/status/2070194632756285539/video/1","resolved_type":"media","venture_tags":["eventbuoy-com","fishboneny-com","instasoiree-com","groww-ca"],"editorial_note":"Business model insight for eventbuoy com.","signal_type":"business","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.757Z"},{"tweet_id":"2012374751982092501","author":"tslaming","author_name":"Ming","text":"BREAKING 🚨 TESLA HAS PATENTED A \"MATHEMATICAL CHEAT CODE\" THAT FORCES CHEAP 8-BIT CHIPS TO RUN ELITE 32-BIT AI MODELS AND REWRITES THE RULES OF SILICON 🐳 \n\nHow does a Tesla remember a stop sign it hasn’t seen for 30 seconds, or a humanoid robot maintain perfect balance while carrying a heavy, shifting box?\n\nIt comes down to Rotary Positional Encoding (RoPE)—the \"GPS of the mind\" that allows AI to understand its place in space and time by assigning a unique rotational angle to every piece of data.\n\nUsually, this math is a hardware killer. To keep these angles from \"drifting\" into chaos, you need power-hungry, high-heat 32-bit processors (chips that calculate with extreme decimal-point precision).\n\nBut Tesla has engineered a way to cheat the laws of physics. Freshly revealed in patent US20260017019A1, Tesla’s \"MIXED-PRECISION BRIDGE\" is a mathematical translator that allows inexpensive, power-sipping 8-bit hardware (which usually handles only simple, rounded numbers) to perform elite 32-bit rotations without dropping a single coordinate.\n\nThis breakthrough is the secret \"Silicon Bridge\" that gives Optimus and FSD high-end intelligence without sacrificing a mile of range or melting their internal circuits. It effectively turns Tesla’s efficient \"budget\" hardware into a high-fidelity supercomputer on wheels.\n\n📉 The problem: the high cost of precision\n\nIn the world of self-driving cars and humanoid robots, we are constantly fighting a war between precision and power. Modern AI models like Transformers rely on RoPE to help the AI understand where objects are in a sequence or a 3D space.\n\nThe catch is that these trigonometric functions (sines and cosines) usually require 32-bit floating-point math—imagine trying to calculate a flight path using 10 decimal places of accuracy.\n\nIf you try to cram that into the standard 8-bit multipliers (INT8) used for speed (which is like rounding everything to the nearest whole number), the errors pile up fast. The car effectively goes blind to fine details.\n\nFor a robot like Optimus, a tiny math error means losing its balance or miscalculating the distance to a fragile object. To bridge this gap without simply adding more expensive chips, Tesla had to fundamentally rethink how data travels through the silicon.\n\n🛠️ Tesla's solution: the logarithmic shortcut & pre-computation\n\nTesla’s engineers realized they didn't need to force the whole pipeline to be high-precision. Instead, they designed the Mixed-Precision Bridge.\n\nThey take the crucial angles used for positioning and convert them into logarithms. Because the \"dynamic range\" of a logarithm is much smaller than the original number, it’s much easier to move that data through narrow 8-bit hardware without losing the \"soul\" of the information.\n\nIt’s a bit like dehydrating food for transport; it takes up less space and is easier to handle, but you can perfectly reconstitute it later.\n\nCrucially, the patent reveals that the system doesn't calculate these logarithms on the fly every time. Instead, it retrieves pre-computed logarithmic values from a specialized \"cheat sheet\" (look-up storage) to save cycles.\n\nBy keeping the data in this \"dehydrated\" log-state, Tesla ensures that the precision doesn't \"leak out\" during the journey from the memory chips to the actual compute cores. However, keeping data in a log-state is only half the battle; the chip eventually needs to understand the real numbers again.\n\n🏗️ The recovery architecture: rotation matrices & Horner’s method\n\nWhen the 8-bit multiplier (the Multiplier-Accumulator or MAC) finishes its job, the data is still in a \"dehydrated\" logarithmic state. To bring it back to a real angle theta without a massive computational cost, Tesla’s high-precision ALU uses a Taylor-series expansion optimized via Horner’s Method.\n\nThis is a classic computer science trick where a complex equation (like an exponent) is broken down into a simple chain of multiplications and additions.\n\nBy running this in three specific stages—multiplying by constants like 1/3 and 1/2 at each step—Tesla can approximate the exact value of an angle with 32-bit accuracy while using a fraction of the clock cycles.\n\nOnce the angle is recovered, the high-precision logic generates a Rotation Matrix (a grid of sine and cosine values) that locks the data points into their correct 3D coordinates.\n\nThis computational efficiency is impressive, but Tesla didn't stop at just calculating faster; they also found a way to double the \"highway speed\" of the data itself.\n\n🧩 The data concatenation: 8-bit inputs to 16-bit outputs\n\nOne of the most clever hardware \"hacks\" detailed in the patent is how Tesla manages to move 16-bit precision through an 8-bit bus. They use the MAC as a high-speed interleaver—effectively a \"traffic cop\" that merges two lanes of data.\n\nIt takes two 8-bit values (say, an X-coordinate and the first half of a logarithm) and multiplies one of them by a power of two to \"left-shift\" it.\n\nThis effectively glues them together into a single 16-bit word in the output register, allowing the low-precision domain to act as a high-speed packer for the high-precision ALU to \"unpack\".\n\nThis trick effectively doubles the bandwidth of the existing wiring on the chip without requiring a physical hardware redesign. With this high-speed data highway in place, the system can finally tackle one of the biggest challenges in autonomous AI: object permanence.\n\n🧠 Long-context memory: remembering the stop sign\n\nThe ultimate goal of this high-precision math is to solve the \"forgetting\" problem. In previous versions of FSD, a car might see a stop sign, but if a truck blocked its view for 5 seconds, it might \"forget\" the sign existed.\n\nTesla uses a \"long-context\" window, allowing the AI to look back at data from 30 seconds ago or more.\n\nHowever, as the \"distance\" in time increases, standard positional math usually drifts. Tesla's mixed-precision pipeline fixes this by maintaining high positional resolution, ensuring the AI knows exactly where that occluded stop sign is even after a long period of movement.\n\nThe RoPE rotations are so precise that the sign stays \"pinned\" to its 3D coordinate in the car's mental map. But remembering 30 seconds of high-fidelity video creates a massive storage bottleneck.\n\n⚡ KV-cache optimization & paged attention: scaling memory\n\nTo make these 30-second memories usable in real-time without running out of RAM, Tesla optimizes the KV-cache (Key-Value Cache)—the AI's \"working memory\" scratchpad.\n\nTesla’s hardware handles this by storing the logarithm of the positions directly in the cache. This reduces the memory footprint by 50% or more, allowing Tesla to store twice as much \"history\" (up to 128k tokens) in the same amount of RAM.\n\nFurthermore, Tesla utilizes Paged Attention—a trick borrowed from operating systems. Instead of reserving one massive, continuous block of memory (which is inefficient), it breaks memory into small \"pages\".\n\nThis allows the AI5 chip to dynamically allocate space only where it's needed, drastically increasing the number of objects (pedestrians, cars, signs) the car can track simultaneously without the system lagging.\n\nYet, even with infinite storage efficiency, the AI's attention mechanism has a flaw: it tends to crash when pushed beyond its training limits.\n\n🔒 Pipeline integrity: the \"read-only\" safety lock\n\nA subtle but critical detail in the patent is how Tesla protects this data. Once the transformed coordinates are generated, they are stored in a specific location that is read-accessible to downstream components but not write-accessible by them.\n\nFurthermore, the high-precision ALU itself cannot read back from this location.\n\nThis one-way \"airlock\" prevents the system from accidentally overwriting its own past memories or creating feedback loops that could cause the AI to hallucinate. It ensures that the \"truth\" of the car's position flows in only one direction: forward, toward the decision-making engine.\n\n🌀 Attention sinks: preventing memory overflow\n\nEven with a lean KV-cache, a robot operating for hours can't remember everything forever. Tesla manages this using Attention Sink tokens.\n\nTransformers tend to dump \"excess\" attention math onto the very first tokens of a sequence, so if Tesla simply used a \"sliding window\" that deleted old memories, the AI would lose these \"sink\" tokens and its brain would effectively crash.\n\nTesla's hardware is designed to \"pin\" these attention sinks permanently in the KV-cache. By keeping these mathematical anchors stable while the rest of the memory window slides forward, Tesla prevents the robot’s neural network from destabilizing during long, multi-hour work shifts.\n\nWhile attention sinks stabilize the \"memory\", the \"compute\" side has its own inefficiencies—specifically, wasting power on empty space.\n\n🌫️ Sparse tensors: cutting the compute fat\n\nTesla’s custom silicon doesn't just cheat with precision; it cheats with volume. In the real world, most of what a car or robot sees is \"empty\" space (like clear sky).\n\nIn AI math, these are represented as \"zeros\" in a Sparse Tensor (a data structure that ignores empty space). Standard chips waste power multiplying all those zeros, but Tesla’s newest architecture incorporates Native Sparse Acceleration.\n\nThe hardware uses a \"coordinate-based\" system where it only stores the non-zero values and their specific locations. The chip can then skip the \"dead space\" entirely and focus only on the data that matters—the actual cars and obstacles.\n\nThis hardware-level sparsity support effectively doubles the throughput of the AI5 chip while significantly lowering the energy consumed per operation.\n\n🔊 The audio edge: Log-Sum-Exp for sirens\n\nTesla’s \"Silicon Bridge\" isn't just for vision—it's also why your Tesla is becoming a world-class listener. To navigate safely, an autonomous vehicle needs to identify emergency sirens and the sound of nearby collisions using a Log-Mel Spectrogram approach (a visual \"heat map\" of sound frequencies).\n\nThe patent details a specific Log-Sum-Exp (LSE) approximation technique to handle this. By staying in the logarithm domain, the system can handle the massive \"dynamic range\" of sound—from a faint hum to a piercing fire truck—using only 8-bit hardware without \"clipping\" the loud sounds or losing the quiet ones.\n\nThis allows the car to \"hear\" and categorize environmental sounds with 32-bit clarity. Of course, all this high-tech hardware is only as good as the brain that runs on it, which is why Tesla's training process is just as specialized.\n\n🎓 Quantization-aware training: pre-adapting the brain\n\nFinally, to make sure this \"Mixed-Precision Bridge\" works flawlessly, Tesla uses Quantization-Aware Training (QAT).\n\nInstead of training the AI in a perfect 32-bit world and then \"shrinking\" it later—which typically causes the AI to become \"drunk\" and inaccurate—Tesla trains the model from day one to expect 8-bit limitations.\n\nThey simulate the rounding errors and \"noise\" of the hardware during the training phase, creating a neural network that is \"pre-hardened\". It’s like a pilot training in a flight simulator that perfectly mimics a storm; when they actually hit the real weather in the real world, the AI doesn’t \"drift\" or become inaccurate because it was born in that environment.\n\nThis extreme optimization opens the door to running Tesla's AI on devices far smaller than a car.\n\n🚀 The strategic roadmap: from AI5 to ubiquitous edge AI\n\nThis patent is not just a \"nice-to-have\" optimization; it is the mathematical prerequisite for Tesla’s entire hardware roadmap. Without this \"Mixed-Precision Bridge\", the thermal and power equations for next-generation autonomy simply do not work.\n\nIt starts by unlocking the AI5 chip, which is projected to be 40x more powerful than current hardware. Raw power is useless if memory bandwidth acts as a bottleneck.\n\nBy compressing 32-bit rotational data into dense, log-space 8-bit packets, this patent effectively quadruples the effective bandwidth, allowing the chip to utilize its massive matrix-compute arrays without stalling.\n\nThis efficiency is critical for the chip's \"half-reticle\" design, which reduces silicon size to maximize manufacturing yield while maintaining supercomputer-level throughput.\n\nThis efficiency is even more critical for Tesla Optimus, where it is a matter of operational survival. The robot runs on a 2.3 kWh battery (roughly 1/30th of a Model 3 pack).\n\nStandard 32-bit GPU compute would drain this capacity in under 4 hours, consuming 500W+ just for \"thinking\".\n\nBy offloading complex RoPE math to this hybrid logic, Tesla slashes the compute power budget to under 100W. This solves the \"thermal wall\", ensuring the robot can maintain balance and awareness for a full 8-hour work shift without overheating.\n\nThis stability directly enables the shift to End-to-End Neural Networks. The \"Rotation Matrix\" correction described in the patent prevents the mathematical \"drift\" that usually plagues long-context tracking.\n\nThis ensures that a stop sign seen 30 seconds ago remains \"pinned\" to its correct 3D coordinate in the World Model, rather than floating away due to rounding errors.\n\nFinally, baking this math into the silicon secures Tesla's strategic independence. It decouples the company from NVIDIA’s CUDA ecosystem and enables a Dual-Foundry Strategy with both Samsung and TSMC to mitigate supply chain risks.\n\nThis creates a deliberate \"oversupply\" of compute, potentially turning its idle fleet and unsold chips into a distributed inference cloud that rivals AWS in efficiency.\n\nBut the roadmap goes further. Because this mixed-precision architecture slashes power consumption by orders of magnitude, it creates a blueprint for \"Tesla AI on everything\".\n\nIt opens the door to porting world-class vision models to hardware as small as a smart home hub or smartphone. This would allow tiny, cool-running chips to calculate 3D spatial positioning with zero latency—bringing supercomputer-level intelligence to the edge without ever sending private data to a massive cloud server.","created_at":"Sat Jan 17 04:01:43 +0000 2026","like_count":10205,"retweet_count":1789,"reply_count":946,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","eventbuoy-com","fishboneny-com","dochakki-com","chefaid-nyc","instasoiree-com","dank-nyc"],"editorial_note":"Tool relevant to chipmonk tech.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.078Z"},{"tweet_id":"2042649394445717717","author":"ps_ilove_me","author_name":"P.S. I Love ME","text":"🚨In 1990s, Stanford researcher Dr. Robert Sapolsky discovered something that should have broken the internet by now.\n\nHe was studying dopamine pathways in primates and found that the brain doesn't just adapt to repeated stimulation. It actively fights back.\n\nWhen you flood dopamine receptors consistently, the brain deploys what neuroscientists call \"opponent processes.\" For every artificial high you create, your nervous system generates an equal and opposite neurochemical low. Not eventually. Immediately. The system is designed to maintain balance, so it starts producing compounds that directly counteract dopamine while you're still experiencing the dopamine hit.\n\nThis means every notification, every scroll, every digital reward doesn't just give you a high followed by a return to baseline. It gives you a high followed by a crash below baseline. You end up in neurochemical debt.\n\nTech companies never publicized this research. They probably never read it. They were too busy discovering that variable ratio reinforcement schedules could keep users engaged for hours. They built addictive systems by accident, then refined them into addiction machines once they realized what they'd stumbled onto.\n\nYour phone delivers an average of 80 dopamine hits per day. Your ancestors got maybe 5. Each hit triggers opponent processes that create a corresponding low. By the end of a typical day of normal phone usage, your baseline dopamine is running in negative territory. You feel flat, restless, vaguely unsatisfied, and hungry for stimulation because your brain chemistry is literally below zero.\n\nYou think you're bored. You're chemically depressed by artificial highs.\n\nThe opponent process theory explains why nothing feels interesting anymore. Your brain isn't broken. It's precisely calibrated to maintain neurochemical balance, and you keep throwing that balance off with artificial intensity. Every Instagram hit requires an equal Instagram crash. Every TikTok high gets paid for with a TikTok low. Every notification rush gets balanced with notification emptiness.\n\nYour reward system is running a neurochemical deficit that grows larger every day.\n\nSapolsky's research revealed something even more disturbing: opponent processes don't just create temporary lows. They become permanent changes to your baseline dopamine production. Chronic overstimulation doesn't just make you tolerant to digital rewards. It makes you insensitive to natural rewards.\n\nThe sunset that would have captivated your great-grandfather becomes invisible to you not because sunsets got worse, but because your dopamine system needs intensity levels that sunsets can't provide. A good conversation becomes boring not because conversations got less interesting, but because your brain requires the rapid-fire stimulation of social media to register engagement.\n\nYou've accidentally trained your reward system to ignore everything that isn't artificially amplified.\n\nThis connects to research from Dr. Anna Lembke at Stanford, who found that people who undergo complete digital fasting for just 30 days show measurable increases in dopamine receptor density. Their brains literally regrow sensitivity to natural rewards. Food tastes better. Music sounds more complex. Social interactions become genuinely engaging again.\n\nBut there's a catch that nobody talks about: the first two weeks of dopamine detox feel like clinical depression. Your brain has been chemically dependent on artificial stimulation for years. Removing that stimulation creates actual withdrawal symptoms. Restlessness, anxiety, inability to focus, emotional flatness, and desperate cravings for digital input.\n\nMost people interpret these symptoms as evidence that they need their phones. Actually, they're evidence that they've been neurochemically dependent on their phones without realizing it.\n\nThe withdrawal period isn't a bug. It's proof the reset is working.\n\nWhat happens after week three is remarkable. Colors become more vivid. Conversations become genuinely absorbing. Simple pleasures like hot coffee or cool air become satisfying in ways you forgot were possible. Your brain rediscovers that reality contains enough complexity and beauty to hold your attention without artificial amplification.\n\nYou don't need more interesting content. You need more sensitive reward systems.\n\nThe solution isn't better apps or more engaging entertainment. The solution is restoring your brain's factory settings for what constitutes a worthwhile experience.\n\nSapolsky's opponent process research suggests this can happen faster than anyone expected. Every day you don't artificially spike your dopamine, your baseline moves a little higher. Every natural reward you pay attention to rebuilds receptor density. Every moment of boredom you endure without reaching for stimulation strengthens your capacity for sustained focus.\n\nAncient humans lived in a world that provided exactly the right amount of stimulation to keep their reward systems healthy. Enough challenge to stay engaged, enough calm to stay balanced, enough novelty to stay curious, enough routine to stay stable.\n\nWe built a world that provides 10 times too much stimulation and wonder why nothing feels rewarding anymore.\n\nYour brain is not the problem. Your environment is the problem.\n\nChange the environment, and the brain heals itself automatically.","created_at":"Fri Apr 10 17:02:20 +0000 2026","like_count":8649,"retweet_count":2640,"reply_count":145,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","subwaymusician-xyz","dochakki-com","chefaid-nyc","instasoiree-com"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:01.733Z"},{"tweet_id":"2027368561736564928","author":"jackmoses777","author_name":"Jack Moses ∞","text":"I am so bullish on the real world.\n\nGroup events. Cookouts. Sports. Parties. Animals. Music festivals. Phoneless dinners. Co-living centers. Healing centers. Retreat centers. Beautiful views. Group adventures. \n\nThese things light me up. Tech, ai, and materialism continue to disguest me more every day.\n\nThe pendulum has swung too far. A small group of soulless nerds will continue to obsess over ai, automation, effiency, and the intellect. But those of us connected to our hearts and spirits are becoming disgusted by it. We want real, and we want human. \n\nExpect a huge countersurge of irl businesses and events in the next few years.","created_at":"Fri Feb 27 13:01:46 +0000 2026","like_count":7602,"retweet_count":708,"reply_count":330,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","subwaymusician-xyz","instasoiree-com","renascence-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:01.941Z"},{"tweet_id":"2037187650918953465","author":"xmuse_","author_name":"Muse","text":"For the ancient Egyptians, life was merely a preparation for the most significant event: death.  \n\nOne breath into this organic ceramic vessel from Kinfolk Ceramics and the haunting, earthy tones of the ancient Nile come alive. https://t.co/jOVNknEA0A","created_at":"Thu Mar 26 15:19:19 +0000 2026","like_count":5234,"retweet_count":673,"reply_count":58,"resolved_url":"https://twitter.com/xmuse_/status/2037187650918953465/video/1","resolved_type":"media","venture_tags":["eventbuoy-com","fishboneny-com","instasoiree-com"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:10.782Z"},{"tweet_id":"2065529084268904451","author":"Dipper_pol","author_name":"0xDipper","text":"Nassim Taleb: the richest man in the Roman Empire woke up every morning pretending he was poor.\n\nSeneca had more to lose than to gain from his wealth - so he rehearsed losing it. Every so often he'd live on bread and water as if shipwrecked, just to make the downside familiar and harmless.\n\nThat's the whole game, Taleb says: arrange your life so you have far more upside than downside - then randomness stops scaring you.\n\n\"Make more when you're right than you lose when you're wrong - that's antifragile.\"\n\n\"Always keep more upside than downside from random events.\"\n\n\"The Stoics aren't unmoved by the world - only by bad events.\"\n\n~70 min, free. the oldest trick for surviving a world you can't predict ↓","created_at":"Fri Jun 12 20:18:04 +0000 2026","like_count":4077,"retweet_count":614,"reply_count":25,"resolved_url":null,"resolved_type":null,"venture_tags":["anygame-dev","eventbuoy-com","fishboneny-com","instasoiree-com","renascence-network"],"editorial_note":"Strategic/philosophical lens applicable to anygame dev.","signal_type":"philosophy","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.295Z"},{"tweet_id":"2060251085043052864","author":"Ronycoder","author_name":"Rony","text":"INSTEAD OF WATCHING A 2-HOUR MOVIE.\n\nWatch this Anthropic Claude for Finance lecture.\n\nIt’s probably the best free hour in quant AI right now.\n\nBookmark it and watch it today, no matter what.\nhttps://t.co/Idn5mtvUkk","created_at":"Fri May 29 06:45:10 +0000 2026","like_count":2599,"retweet_count":542,"reply_count":40,"resolved_url":"https://x.com/RohOnChain/status/2058980993693061200/video/1","resolved_type":"media","venture_tags":["fishboneny-com"],"editorial_note":"Educational resource for fishboneny com.","signal_type":"education","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:03.418Z"},{"tweet_id":"2011494188152733971","author":"AndrewYNg","author_name":"Andrew Ng","text":"New course: Document AI: From OCR to Agentic Doc Extraction, built with @LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp.\n\nMuch of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic workflows that process documents accurately: breaking them into parts, examining each piece carefully, and extracting information through multiple iterations.\n\nTraditional Optical Character Recognition (OCR) captures text but loses context from table headers, chart captions, or reading order of columns. After exploring OCR's limitations, you’ll use LandingAI's Agentic Document Extraction (ADE) framework to process documents. ADE treats pages as visually -- as images -- to parse information and extract fields.\n\nSkills you'll gain:\n- Build agents to convert unstructured files into structured Markdown/HTML and JSON\n- Use ADE to parse complex data like forms, handwriting, or equations\n- Map extracted information to named fields using a specified schema, with bounding boxes for grounding and validation\n- Deploy RAG applications with event-driven document processing\n\nCome learn about the best tools for processing documents like financial invoices, medical records, or academic papers intelligently: \nhttps://t.co/PYjgnoaD2K","created_at":"Wed Jan 14 17:42:40 +0000 2026","like_count":2062,"retweet_count":296,"reply_count":70,"resolved_url":"https://www.deeplearning.ai/short-courses/document-ai-from-ocr-to-agentic-doc-extraction","resolved_type":"external","venture_tags":["eventbuoy-com","fishboneny-com","velab-org","instasoiree-com"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:13.696Z"},{"tweet_id":"2016222843462430795","author":"OMApproach","author_name":"Open Minded Approach","text":"Turkey is panicking, but the entire world should be as well. Nearly 700 sinkholes have been detected, opening up and destroying farmland. There is a severe drought, all of which points to a geophysical event and climate change connected to a geomagnetic excursion. During the desertification of the Sahara around 6,000 years ago, and during the Solovki geomagnetic excursion, there was also an extreme drought.\n\nBefore 2000, only a handful of sinkholes appeared each decade, but since that time, the acceleration of the magnetic North Pole has made this process more rapid.\n\nThis is why billionaires are building doomsday bunkers. It is all described in the leaked Pentagon report from 2003.","created_at":"Tue Jan 27 18:52:40 +0000 2026","like_count":1847,"retweet_count":278,"reply_count":78,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","onesqft-org","instasoiree-com"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:12.068Z"},{"tweet_id":"2057166019798733230","author":"jonaasw1","author_name":"Jonas","text":"NYC has a hidden listening room and café. \n \nIt's called Silence Please and it's one of the most unique spots in the city:  \n\n- hundreds of vinyl records \n- high-end speaker showroom \n- delicious coffee, teas and patries \n- private listening stations w/ headsets \n- 2,000 sq ft of gallery-style space \n- long communal tables + couches\n\nIt's part café, part teahouse, part event space.   \n\nThey do tea ceremonies, vinyl painting sessions, and live DJ sets.","created_at":"Wed May 20 18:26:14 +0000 2026","like_count":1627,"retweet_count":69,"reply_count":73,"resolved_url":null,"resolved_type":null,"venture_tags":["minyvinyl-com","eventbuoy-com","fishboneny-com","instasoiree-com"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:15.060Z"},{"tweet_id":"2064363248434970742","author":"maggiexgao","author_name":"maggie gao","text":"I analyzed over 10 million lines of public data to build a (free) tool for NYC renters.\n\nYou can check any building across all five boroughs.\n\nIt consolidates rent stabilization records, bedbug, pest, and mold reports, and management company patterns.  \n\nIn the last 5 years across NYC apartment buildings:  \n- 43% had immediately hazardous violations \n- 39% had confirmed bedbugs \n- 34% had mold complaints  \n\nSome features:  \n- rent stabilization status\n- bedbug, pest, and mold reports\n- a 0-100 health score for every building\n- data aggregated by management company\n- search by any address or click into a neighborhood \n\ncheck your building before you sign.\n\nhttps://t.co/Mb4SBmLfJH","created_at":"Tue Jun 09 15:05:27 +0000 2026","like_count":1357,"retweet_count":114,"reply_count":49,"resolved_url":"https://nycstoops.com/","resolved_type":"external","venture_tags":["fishboneny-com","onesqft-org"],"editorial_note":"Tool relevant to fishboneny com: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.576Z"},{"tweet_id":"2066563400583241756","author":"ludoonchart","author_name":"ludoonchart","text":"Nassim Taleb built his fortune by realizing that to survive wall street, you must be perfectly comfortable looking like an absolute idiot\n\nspeaking to microsoft's top engineers, he shared the exact math from 1987 that built his empire:\n\n\"it started with the crash in 1987. i realized that if you position for a massive 20-sigma event, your portfolio is so mathematically convex that you could literally wait 400 years for it to happen again, and you would still be okay\"\n\n\"so i told myself i will only specialize in extreme events. you sit there and wait 3, 4, 5 years. everybody on the trading floor tells you you're an idiot. they tell you you're not profitable\"\n\n\"and then suddenly the crash happens. the crowd blows up, they completely disappear, and you take absolutely everything\"\n\nwatch his full 1-hour microsoft masterclass on the math of extreme risk","created_at":"Mon Jun 15 16:48:04 +0000 2026","like_count":1138,"retweet_count":124,"reply_count":9,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","eventbuoy-com","fishboneny-com","instasoiree-com","renascence-network"],"editorial_note":"Strategic/philosophical lens applicable to goodalgo network.","signal_type":"philosophy","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.014Z"},{"tweet_id":"2069692918663925822","author":"DataChaz","author_name":"Charly Wargnier","text":"BAIDU JUST DROPPED AN ABSOLUTE GAME-CHANGER FOR DOCUMENT AI\n\nIt’s called `Unlimited-OCR`, and it can literally transcribe an entire book in a single pass 🤯\n\nMost vision models read a single page, forget the context, and eventually hit a wall where performance degrades and inference slows down.\n\n@Baidu_Inc built this on top of `DeepSeek OCR` but fixed the memory bloat with a single change to the attention mechanism.\n\nThe design mimics how a human hand-copies a book.\n\nInstead of trying to hold the entire book in active memory, each token only looks at the current page plus the last 128 words.\n\nThis creates a sliding window that keeps memory usage completely flat, no matter how long the output gets.\n\nThe architectural shift delivers three massive upgrades for document parsing:\n→ A fixed memory footprint\n→ Steady generation speed on massive documents\n→ The ability to process dozens of pages per pass\n\nThe numbers back it up.\n\nUnlimited-OCR scores 93% on standard parsing benchmarks, beating the older baseline by a full six points.\n\nEven when pushed past 40 pages, the error rate stays under 0.11.\n\nMore importantly, it maintains a flat speed curve where older models suffered a 35% slowdown.\n\nFree and open-source.\n\nRepo, weights and paper in 🧵↓","created_at":"Wed Jun 24 08:03:39 +0000 2026","like_count":383,"retweet_count":60,"reply_count":16,"resolved_url":null,"resolved_type":null,"venture_tags":["anygame-dev","eventbuoy-com","fishboneny-com","velab-org","instasoiree-com"],"editorial_note":"Market signal for anygame dev: indicates direction of the industry.","signal_type":"trend","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.005Z"},{"tweet_id":"2023613028571492754","author":"andrewchen","author_name":"andrew chen","text":"what's the current best approach on an AI that can help me handle my email inbox?\n\nseems like a big opportunity for folks playing with openclaw. For all of us who are drowning in email, this seems like a tier one problem that would be amazing to solve. (And I think I would pay $150k/year to have this product? I bet I'm not the only one)\n\nwhat I want is:\n- watch my inbox and process emails as they come in\n- score each message to see if it seems important (look at the sender, the topic/body, if its addressed to me or a big list, if I've ever replied to the sender before, etc etc)\n- read the email and reference a vast DB of knowledge that's been assembled already (based on my work, meeting notes, what I've replied on, etc), and decide what to do\n- reply with a draft note. For now, don't send, so that I can review the email -- but in the future maybe there's a YOLO option (but it would probably disclose that it's my assistant writing)\n- if less important, label it and file away. Eventually gather summaries for all of these less important emails and send me a summary of all of them with links to get back to it\n- or archive if it seems unimportant\n- or unsubscribe / mark spam / block if random marketing\n- if critical send me a notification right away so I can take a look\n\nI've played around with a bunch of the current AI tools and nothing quite works like this. There's a lot of blockers:\n- first, it needs 1000x more context about each problem, which it could get by crawling all my projects/notes/emails/slides/meetings/etc\n- This system should be designed to take action rather than simply just prioritizing messages. We've had prioritized inboxes for a long time but they're fine, not great\n- then someone has to put this entire UX together to be cohesive. In the future, we may not even really have an email inbox, but instead an interaction that feels more like I'm talking to an assistant who has a few questions for me. But otherwise just wants to provide a few quick updates and get some yes/nos. And otherwise filter all the noise -- just give me the most important messages\n\nIt feels like we're very, very close to being able to do this, with the latest models from Anthropic and Open AI, we have the technology already. Someone just needs to package it all together in a way where it's able to index all of your emails and notes and calendars and contacts and sort of create a second brain that knows almost everything that you know so that I actually do things that are intelligent. \n\nIt seems like with the excitement of OpenClaw we have the architecture to integrate a lot of different data sources and to take actions across multiple different channels. And it's built with one sort of monolithic memory and context, so that you're able to interact with it in such a way where it feels like it can try to replicate your actions more closely than the relatively stateless and memoryless LLM chats that we've gotten accustomed to. \n\nIf someone is working on this, please point them to me. I would be both a customer and an investor!","created_at":"Tue Feb 17 04:18:37 +0000 2026","like_count":314,"retweet_count":14,"reply_count":185,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","eventbuoy-com","fishboneny-com","instasoiree-com","renascence-network"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:11.411Z"},{"tweet_id":"2026642730185613568","author":"o_kwasniewski","author_name":"Oskar","text":"Just released a new blog post about how I use OpenCode with git worktrees to orchestrate multiple agents from tmux ✨\n\nLink in replies ⬇️ https://t.co/Y3EzrSQnYc","created_at":"Wed Feb 25 12:57:34 +0000 2026","like_count":271,"retweet_count":8,"reply_count":7,"resolved_url":"https://twitter.com/o_kwasniewski/status/2026642730185613568/photo/1","resolved_type":"media","venture_tags":["fishboneny-com"],"editorial_note":"Market signal for fishboneny com.","signal_type":"trend","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:13.423Z"},{"tweet_id":"2061883600208035923","author":"embrron","author_name":"MO","text":"Prediction markets are no longer one mechanism, they’re becoming a design space.\n\nover the next few weeks, I'll break down 7 prediction market primitives, one by one:\n1. Binary Markets\n2. Event Contracts\n3. Scalar Markets\n4. Decision Markets\n5. Multiverse Markets\n6. Information Markets\n7. Continuous Markets\n\nEach one exists because a different type of belief needs a different market structure.\n\nBeliefs have different shapes, Markets should too!","created_at":"Tue Jun 02 18:52:12 +0000 2026","like_count":210,"retweet_count":24,"reply_count":25,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","eventbuoy-com","fishboneny-com","instasoiree-com"],"editorial_note":"Market data point for goodalgo network: sizing or supply chain insight.","signal_type":"market","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.563Z"},{"tweet_id":"2071016979670946079","author":"RoundtableSpace","author_name":"0xMarioNawfal","text":"Someone is vibe coding a live 3D news globe with Claude Code that pins real world events on a spinning Earth as they happen.\n\nInstead of doomscrolling a feed, you open a tab with a 3D Earth and watch the world light up in real time. Breaking news, conflicts, disasters and humanitarian alerts get pinned to the exact spot on the map, alongside live flights and upcoming rocket launches.\n\nClick any event and it pulls up a short brief with its actual sources, so you can see where it came from. People are already saying it's the only way they want to read news now, the kind of thing you keep open in a tab and just glance at all day.","created_at":"Sat Jun 27 23:45:00 +0000 2026","like_count":182,"retweet_count":21,"reply_count":24,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","renascene-nyc","instasoiree-com","velab-stack"],"editorial_note":"Tool relevant to eventbuoy com: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.625Z"},{"tweet_id":"2009426161340670320","author":"agentskills_ai","author_name":"Justin Brooke","text":"This is how I BLOW my clients minds...\n\nFirst thing I do when they buy an AI agent from me is ingest all of their writing samples. \n\nI use Manus wide research to eat all of their blog posts or newsletters or social posts, whatever they have, and turn them into markdown files.\n\nThen I ask Manus to \"Embody a world class writing editor. Study the writing voice, style, and tone of these articles. Then write me a brand guidelines document that includes voice, style, tone, vocabulary, topics, anything that would help my assistant know how to capture my writing perfectly as well as what not to do.\"\n\nIt creates a document that my AI agent can now reference.\n\nNext, I ask Manus to do research on my client based on all their writing and profiles. It creates a bio on them that I upload to the agent,.\n\nBetween the markdown files, the brand guidelines document, and the bio, my clients AI agent can now write just like them. Even reference past events or experiences.\n\nThey are shocked when it even uses their own popular phrases and mentions stories from their past just.\n\nThey say \"Holy crap, it sounds just like me.\"\n\nBut here's the real kicker...\n\nBecause it's humanized and includes past experiences, it's amazing for SEO.\n\nExperiences is the first E in E-E-A-T which is what Google requires in blog posts to help your posts rank high in the search engine.\n\nOnce they have see how well this writes like them, they usually want 3-4 more. Because they realize it's good enough to also do their social media, their newsletter, or even expand to new platforms they didn't have time for before.\n\nComment DEMO if you want to see one of my agents. Otherwise bookmark this for when you create your own.\n\nFollow @agentskills_ai for more tips on making a good living from the AI agent goldrush.","created_at":"Fri Jan 09 00:45:04 +0000 2026","like_count":173,"retweet_count":6,"reply_count":37,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","instasoiree-com","collectivewin-network"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.207Z"},{"tweet_id":"2056096149585416429","author":"thenarrator","author_name":"good","text":"we're in the first chapter of prediction markets: the infancy phase\n\nthe real evolution is prediction markets becoming the risk engine underneath finance (mostly how i see it)\n\none of the problems in defi lending is that everything is overcollateralized (you deposit $150 to borrow $100). it works but it's capital inefficient and it locks out anyone who doesn't already have more money than they need to borrow\n\na wallet with hundreds of resolved predictions at 78% accuracy has proven judgment under uncertainty, which is a honest risk signal\n\nthe protocol assigns trust tiers based on accuracy where higher accuracy means lower collateral requirements (your skill literally reduces your cost of capital) \n\ncombine that with live prediction markets monitoring event risk on your collateral in real time and you have a lending system where trust is earned through demonstrated ability\n\nthis can be one way where defi eventually competes with tradfi","created_at":"Sun May 17 19:34:57 +0000 2026","like_count":52,"retweet_count":3,"reply_count":16,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","eventbuoy-com","fishboneny-com","instasoiree-com"],"editorial_note":"Market data for goodalgo network.","signal_type":"market","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:08.120Z"},{"tweet_id":"2041463820091056418","author":"hackernoon","author_name":"HackerNoon | Learn Any Technology","text":"Planning events with open source tools is easier than it sounds. Let's look at five free projects and how Kivach lets you support them with crypto.\n -  by @ObyteOrg https://t.co/3UfbsK2bXe #eventmanagementsoftware #cryptocurrencydonations","created_at":"Tue Apr 07 10:31:17 +0000 2026","like_count":0,"retweet_count":0,"reply_count":0,"resolved_url":"https://hackernoon.com/5-open-source-event-tools-you-can-use-for-free-and-support-via-kivach","resolved_type":"external","venture_tags":["eventbuoy-com","fishboneny-com","instasoiree-com"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:11.352Z"}]}