Particles obeying simple nonlinear ODEs spontaneously form this glowing density structure; pure chaos rendered visible. ẋ = σ(y − x) ẏ = x(ρ − z) − y ż = xy − βz

The paper argues that for any ensemble whose final output must be one of the member models' answers, including routing, voting, and MoA, the accuracy is fundamentally capped by the co-failure rate β: acc ≤ 1 − β. It also shows that the commonly reported mean pairwise error correlation (ρ) is insufficient to characterize β, so low correlation alone does not imply large ensemble gains. When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents

We collected my tears. Two pieces of paper were put into my eyeball to absorb my tear production. + 15 eye biomarkers + cost $1.8k + speciality lab Eye longevity has been weirdly absent. We did this measurement to quantify the molecular environment of my ocular surface. Things like active inflammation, tissue degradation, and regenerative signaling. We will use results to track progress. We tested: + Osteoprotegerin + Osteopontin + IL-1β, IL-6, IL-8, IL-17A, IL-17F + TNF-α, MMP-9, TIMP-1, IL-10 + TGF-β, SOD,GDF-15, β-NGF Eye protocol dropping soon.

🚨 Claude Code made me 6 trading bots in 15 mins In the US alone, emotional retail traders lost more than $1.8 billion on liquidations While billions of amateur traders were staring at charts, overtrading, and getting wrecked on fees, a quiet group of algorithmic traders treated prediction markets like a hyper-liquid data engine They didn't guess outcomes -> they knew the structural price gaps in advance Here is how they did it, and why manual trading is completely dead: It's all about removing emotion and deploying cross-market statistical arbitrage Linear Spread Cointegration Formula: S_t = P_P,t - β * P_K,t - μ Ornstein-Uhlenbeck Continuous Dynamics Formula: dS_t = θ(μ - S_t)dt + σ dW_t Euler-Maruyama Discretization (MLE Calibration) Formula: S_t_i = S_t_i-1 * e^(-θΔt) + μ(1 - e^(-θΔt)) + ε_t Level 1 Order Book Imbalance (OBI) Formula: I_t = (V_b(t) - V_a(t)) / (V_b(t) + V_a(t)) Volume-Weighted Micro-Price Prediction Formula: P_micro(t) = P_mid(t) + I_t * (Δspread / 2) Cross-Venue Predictive Signal Optimization Formula: ΔP_Kalshi(t + δ) = f(I_Polymarket(t), P_micro,Polymarket(t) - P_micro,Kalshi(t)) In the era of advanced AI, the winner is not the one who guesses the score, but the one who lets automated systems execute with absolute patience and discipline. AI does the hard parts now -> you don't even need a CS degree to build this The full behind-the-scenes live system build is now available to the public 📝

Cherenkov Radiation: Light’s Shock Wave. When a charged particle travels through a transparent medium (such as water or glass) faster than light can travel in that medium, it creates a beautiful electromagnetic shock wave: a cone of bluish light known as Cherenkov radiation. The physics is precise and elegant: > Threshold condition: v > c/n > Emission angle: cos θ = 1/(β n) where β = v/c and n is the refractive index of the medium. This striking blue glow is a direct visual demonstration of special relativity and classical electrodynamics working together in perfect harmony. It’s commonly seen in nuclear reactors and particle detectors.

Accurately pricing derivatives when underlyings are closed is a universal source of edge in market making, from tier-1 firm graybox ETF trading to newer operations in 24-hour prediction markets and perpetual futures. Some widely applicable pricing strategies: Related futures and currency moves. When a derivative’s underlyings are closed, market makers use other instruments as proxies that have sufficient beta to the derivative. Examples for a US ETF on Japanese stocks: the USD/JPY pair trades 24/7 through a variety of FX ECNs, interdealer platforms, and futures exchanges. Nikkei 225 index futures also trade on multiple global derivatives exchanges during extended hours. Moves in these assets during the Japanese night will on average predict the opening prints of individual stocks listed on JPX. Home market index moves. An ETF moves with a non-trivial correlation factor to other US names simply because it’s a US-listed security. The effect is easily observable during heightened volatility. It’s a common industry saying that in a market-wide selloff, all correlations go to 1. Both narrow- and broad-based indexes of US names explain some of the signals in mid-frequency alphas. US index returns comprise a small but meaningful component of derivatives’ multifactor beta models. News. A key requirement for pricing derivatives on foreign stocks is processing local news and earnings releases that relate either to the particular stocks or relevant stocks in the same sector. Quantitative trading firms use automated translation tools to process local foreign-language news and suggest idiosyncratic adjustments to traditional factor models. Recent advances in LLM-based NLP have made sentiment analysis viable for blackbox trading systems to react instantaneously to news-based signals. Microstructure. High-frequency trading firms successfully and counterintuitively price derivatives by ignoring the underlyings’ characteristics. Firms extract short-term alphas from order book characteristics, recent returns, microprices, and other microstructure features. From the perspective of a reinforcement-learning non-linear model trainer, unlabeled feature sets and time series data result in ETFs, ADRs, and common stocks being treated as mathematically equivalent. Based on the above, here is a rough model of how large market-making firms predict mid-frequency returns when traditional underlying markets are closed: ΔP = β_FUT · ΔFUT + β_FX · ΔFX + β_IND · ΔIND + [News Term] These firms also heavily prepare for circumstances under which this model fails. FX and futures have idiosyncratic moves, home-market betas can break during regime shifts, news sentiments still have positives, and microstructure signals decay fast. The market shift underway in 24/7 traditional derivative and prediction contract trading will test the model’s longevity for market making and statistical arbitrage going forward.

🌙 Tonight's thesis — picks frozen Monday Jul 27 The index frame: SPX band 7,371–7,421, lean CALLS (skew +0.08) — the tape earns a bullish tilt. Fed-liquidity read: neutral (z -0.4, 20d -0.0). Standing back from: Hyperscalers (-4.3%/5d), Software (-2.4%/5d), Power / DC Infra (-2.2%/5d) — longs there are discounted until the 5-day trend itself recovers (a one-day pause is a dead-cat, the worst state in our backtest). The top of the book, and why: - CVX CALL (risk-adj vote +1.4) — Net edge here — running into CVX's upcoming catalyst (buy-the-rumor), though Energy is soft. (also: MACD) - MCD PUT (risk-adj vote -1.1) — Net edge here — fading MCD's momentum (though Defensive is bid today). (also: Wall Position) - NFLX CALL (risk-adj vote +1.1) — Net edge here — running into NFLX's upcoming catalyst (buy-the-rumor), as money rotates into Growth Tech. (also: 3-Day Up Streak) - BRK-B CALL (risk-adj vote +1.0) — Net edge here — running into BRK-B's upcoming catalyst (buy-the-rumor). (also: Pre-Event Run-up) Risk posture: 33 calls / 35 puts screened (puts carry a ×1.25 evidence bar — the tape drifts up). Every vote here is risk-adjusted (σ+β), liquidity-taxed, factor-capped at 3 per correlated complex, and stripped of earnings coin-flips. High conviction means diverse agreement per unit of risk, not loudness. The trade: buy ~3:50 PM ET, sell ~9:40 AM ET. 📋 The full board — 33 bet-up / 35 bet-down, ranked in the card 🐲 $SPX #Stocks# #OptionsTrading#

🚀 60 years ago today, Gemini IX-A launched Cernan and Stafford for a three-day mission riddled with mishaps. Cernan performed America’s 2nd EVA which he called “the spacewalk from hell” as he became the first person to orbit Earth entirely outside a spacecraft. From Gemini Remastered: “Before launch, Deke Slayton, who now ran flight crew operations, entered the room where Stafford was suiting up and asked the suit technician to leave and closed the door. He expressed NASA’s concerns about the EVA and added “In case Cernan dies out there, you’ve got to bring him back, because we just can’t afford to have a dead astronaut floating around in space.” Stafford set out his concerns about how difficult that would be and ultimately, he was Commander and he’d make the call. After suiting up, Cernan quizzed Stafford: “Deke was in there talking to you quite a while. What did he say?” Stafford replied: “He just said he hoped we’d have a good flight.” Launch day came May 17, but the rendezvous-target Agena took a nosedive into the ocean for its launch. NASA switched to a backup ATDA target vehicle (which failed to deploy properly in orbit, leaving it useless, looking like an “angry alligator”). The Gemini IX crew faced multiple launch scrubs over 17 days, with six separate entries into the spacecraft for launch. Cernan was to test a new AMU backpack with hydrogen peroxide thrusters. 80 Velcro patches were bonded to the exterior of the spacecraft and his gloves to assist in crawling to the AMU, where he was to do an untethered free-floating spacewalk — a bold mission plan that did not succeed until McCandless did it in 1984. Cernan’s suit was made extra fire retardant to resist burn through by the AMU thrusters. But this made it very rigid and difficult to move in space (like a “rusty suit of armor”). Every movement required immense exertion, which caused him to sweat profusely, overwhelming his suit's environmental control system and causing his helmet faceplate to completely fog up. He had to use his nose to wipe a small visibility window in his faceplate as he fumbled from a lack of handholds. His intense thrashing ripped through seven inner layers of heavy thermal insulation on the back of his suit, leaving a triangle of skin unprotected. When the spacecraft rotated into the daytime side of its orbit, the exterior of the suit was hit by raw, unfiltered sunlight at a blistering 250°F. Without the insulation, the searing solar heat baked right through the remaining pressure bladder layer. Cernan recalled feeling a scalding, fiery sensation on his lower back but had to ignore it because he was already fighting for his life while blind from the fogged visor. His heart rate hit 180bpm and the flight surgeon was concerned he could lose consciousness. He also lost communications fidelity, resorting to a binary code: one squawk for yes, two for no. Cmdr. Stafford decided to cancel the AMU jetpack test. Cernan called out to CAPCOM Neil Armstrong in mission control: “You might tell everyone down there I’m sure sorry about this.” Because the pressurized suit had ballooned in size with outstretched limbs larger than the hatch opening, and with Cernan completely exhausted and blind, getting back inside the spacecraft was a brutal physical struggle for both men. Together, they used the mechanical hatch-cranking mechanism to literally compress Cernan’s stiff suit and force the door closed against his helmet causing him to almost black out from an inability to breathe. Overall, Cernan lost 13 lbs. from extreme dehydration. Despite the setbacks, NASA learned valuable lessons about spacesuit design and the need for visible handholds for EVAs (which was corrected for Apollo). Here are some heroic artifacts from the Future Ventures museum: 1) The newest addition to the collection, Cernan’s Constellation Chart and Greek Alphabet Cue Card, as annotated and flown on Gemini IX-A. On the upper border, Cernan refers to the planned rendezvous with the ATDA. The accompanying Gemini 9 constellation chart showed key navigation stars labeled with their Greek letter designations (like α Lyrae, β Orionis). Since astronauts weren’t trained astronomers, they carried a Greek letter cheat sheet to quickly decode those symbols into star names and locations. They would use the legend to match ‘α’ to the brightest star in a constellation, ‘β’ to the next, and so on, letting them correctly identify stars through the spacecraft’s sextant/telescope for celestial navigation. 2) Original left-handed glove from the Gemini G3C space suit made by the David Clark Company. 3) ITT Interphones used by the frogmen during recovery at sea; it was a pluggable hard line (like in the Matrix) used throughout Gemini after splashdown. The frogmen welcome the astronauts home and let them know when it was safe to open the hatch. For Apollo, NASA switched to Motorola radios. 4) Photo of the frogmen welcoming a weary Cernan and Stafford back to Earth, with orange interphones clearly visible.