Kan Yuenyong

Friends, Following the recent changes to Twitter/X’s API model, we initially faced significant disruptions that affected our ability to deliver real-time trend snapshots. At the time, we raised concerns around accessibility and fairness for developers and researchers. Since then, X has introduced a pay-per-use API model, providing a clearer and more flexible path forward. In light of this, we’ve decided to move ahead constructively and resume our operations on the platform. We’re pleased to share that PulsarWave is back. We have re-integrated with X’s API services, and I’ve personally resubscribed to X Premium to support continued development and stability. Our focus remains unchanged: advancing #DataDemocracy and delivering high-quality insights to our users. More updates on the new PulsarWave version coming soon. Stay tuned.

Notes after my doctoral defence I have passed my doctoral defence, but I want to record these thoughts while they are still fresh, both to return to them later and to guide the revisions required for the final submission. One of the most difficult questions in academic work, and one on which disagreement often persists, is what exactly we call “governance,” and what its essential components are. This is a question of ontology. Let me begin with an example from Thailand. Between 1965 and 1989, did Thailand experience a “civil war”? This question requires us to return to the parties involved: the Thai state on one side, but who was its “opponent” on the other? Once we accept that the opponent was the Communist Party of Thailand, can we establish what the party’s ontology was? More significantly, was the violence of 6 October 1976 one “battle” between these opposing sides, or a “massacre” perpetrated by the state? And over what temporal scale should we examine it? Only 6 October itself, a month on either side, a year on either side, or a longer period, such as 1965–1989? Would this change the reality, or even the researcher’s perception and understanding, of 6 October? To make this more accessible, let me offer another example I often use in my lectures. I am currently helping supervise three AI transformation teams across three organisations of different sizes. In ontological terms, how would we classify “Mr A”? Sex: male; profession: engineer; age: 58; education: bachelor’s degree. These are characteristics we attribute to him. We could classify him as a human entity, alongside “Ms B” or “Boy C.” How, then, would entities in this category differ from “pets: cats, dogs, rabbits, etc.” or “vehicles: cars, bicycles, motorcycles, etc.”? This appears straightforward. But consider Mr A more closely. He is now 58 and will retire in two years. Fifty-eight years ago, he was a newborn infant. Ontologically, is he the same entity? Some readers may already find this difficult to accept. If they accept it, I would push them further backward: approximately nine months before that, he was a zygote. Would this entity still belong to the same category? If they accept that too, I would take them back another month before fertilisation. No zygote yet existed. There were only sperm and egg awaiting fertilisation. Would we still assign this the same ontology? If the answer is no, I would press further. If the entity called “Mr A” did not previously exist, when did it come into being? Can we generalise about when an entity emerges, how it emerges, and what conditions allow us to distinguish that emergence decisively? What research methodology would we use? How could we be confident that the methodology was sound and rigorous, and on what epistemological foundation would it rest? Similarly, when discussing a particular governance arrangement, we must find a method and criteria for identifying its most foundational measurable characteristics, and what remains stable however that governance changes. In my dissertation, Positive Governance, I identify three foundational forces, organised into two sides: first, strong-state capacity; second, the forces constraining the state. The latter has two important components: the rule of law and feedback mechanisms operating through the selection of those who govern. Today, a principal mechanism is voting in elections. I draw these ideas from Francis Fukuyama’s The Origins of Political Order and Political Order and Political Decay, then use structural equation modelling, or SEM, to examine and provide empirical support for distinguishing these three dimensions. But the next question is how a governance arrangement changes once we have identified its components. State capacity may increase while institutional constraints weaken, or both may strengthen together. Can the resulting configuration persist? Under what conditions? When those conditions change, does it retain its form or become something else? These questions require us to move from measuring components to studying how they change together. Having established the foundational components, I use them to consider historical tendencies in governance. China provides an important example of an orientation towards strong-state capacity. Historically, Qin was a major point of development for the centralised bureaucratic state, preparing the state for warfare, particularly the competition of the Warring States period. Another orientation places greater emphasis on constraining state power, a prominent tendency in the Anglo-Saxon tradition. A third, which I interpret as combining both sides at broadly comparable levels, has examples in Europe, particularly Northern Europe. These three tendencies are my historical interpretation, leading to the further question of how each configuration persists or changes. A dissertation must formulate hypotheses in relation to its research questions and specify its methods carefully enough to address its objectives. At its simplest, my inquiry asks: what is governance? Can we understand it through a model? If so, what are its components, and can the model be useful for prediction? Ultimately, these questions begin in ontology. I pay close attention to theory because, first, China since Deng Xiaoping cannot be understood simply as a Communist Party state combining centralised dictatorship with the centrally planned economy familiar from the past. One important intellectual who sought to “define” the condition of the modern Chinese state is Wang Huning. Before he “disappeared” into the role of adviser to successive generations of Chinese leaders, his writings included critiques of Western state models and consideration of how China could preserve political unity amid economic and social transformation. In my reading, centralised authority under the Chinese Communist Party is presented within this framework as more than a temporary necessity. It becomes connected to the raison d’être of the Chinese state itself. Singapore has “demonstrated” that strong political authority can operate alongside a market economy. Lee Kuan Yew was a central intellectual architect in explaining the necessity of Singapore’s model. Wang Huning helps us understand the theoretical justification of the state and political unity in China’s different context of scale and complexity. Meanwhile, China experimented economically through coastal Special Economic Zones, without treating space for market mechanisms as requiring the surrender of the Party’s political leadership. For these reasons, I reject classifying governance solely by the name of a political regime or by whether it is democratic. On its own, I find that framework dated and superficial for the questions I am investigating. John Micklethwait and Adrian Wooldridge’s The Fourth Revolution: The Global Race to Reinvent the State also identifies limitations in Western states and seeks ideas capable of moving beyond them. They argue that Western states require another major transformation, hence the “fourth revolution.” My dissertation also challenges the governance measurement framework used for many years by global institutions such as the World Bank, particularly the Worldwide Governance Indicators, or WGI. These assess and compare countries through aggregate indicators across six dimensions. Although they do not combine everything into a single governance ranking, the use of scores and rankings within each dimension still raises a question for me: does a ranking-based framework adequately explain differences in governance? In my reading, this framework is partly understandable from the position of a lender assessing states as borrowers. It also raises the question of how far Western institutional arrangements become an implicit standard of what is “good.” I therefore need a model through which to test the limitations of ranking-based explanations, and whether understanding governance as a configuration of forces can explain what the existing framework leaves out. SEM using World Values Survey data is insufficient for this purpose. Beyond identifying the structure of the components, I must examine the mechanisms through which configurations persist or change, and evaluate the results against specified criteria. I extend the inquiry through two further approaches in computational social science: MCMEA and agent-based modelling, or ABM. This account concerns only the first, which belongs to the genetic-algorithm family and incorporates Markov-chain transition analysis. To make this accessible, consider the Ising model. Imagine a grid in which each cell takes one of two values: +1 or −1. The arrangement of all the cells constitutes one configuration of the system. If one cell reverses from +1 to −1, we obtain another configuration. In a Metropolis simulation, we propose reversing one spin at a time, then consider the energy change arising from its relationship with neighbouring spins. Temperature affects the probability of accepting the change. If accepted, the system changes configuration. If rejected, it remains in its existing configuration. This connects us to the Markov chain. Once we know the complete present configuration, with the conditions and transition rules specified, we can determine the probabilities of the next configuration without returning to earlier configurations. The past may have contributed to bringing the system here, but the information necessary for the next transition is already contained in its present state. Successive transitions produce a chain of states: a Markov chain. I use this understanding of configurations and state transitions to help explain governance. But the mechanism generating change in MCMEA belongs to the genetic-algorithm family. Each governance configuration carries three basic values: strong-state capacity (S), rule of law (RL), and democratic accountability (DA). Each ranges from 0 to 1. Their combinations allow many governance configurations, resembling a genetic code with shared foundational components whose values can differ. We then create a population containing multiple configurations and evaluate how well each performs under specified conditions. Higher-scoring candidates have a greater chance of being selected as parents for the next generation. We combine parental values through crossover and allow some random variation through mutation, while retaining some of the highest-scoring candidates, known as elites. We repeat this process across generations. Change therefore arises through selection, inheritance, recombination, and mutation together. Why, then, do we still need the Markov chain? Because beyond generating change, we want to understand how governance moves between broad configurations. In MCMEA, we calculate the mean position of the elites in each generation and classify it as strong-state, strong-constraint, jointly strong, or Hybrid. We then count whether the next generation remains in the same category or moves elsewhere, summarising these movements in a table of transition proportions. To avoid making this account excessively complicated, I will stop here. But some readers may ask why I would undertake research of this complexity. One answer concerns a defining question of our time. As China and the United States compete to shape an emerging world order, what will that order look like, and who will take the lead in defining it? The answer must emerge from careful, rigorous academic assessment rather than allegiance to China or the West. Positive Governance provides a foundation for the metageopolitical models I intend to develop. What those models reveal should make for an interesting inquiry. ./

People have asked whether I am safe from the recent flooding in Bangkok. I gave much the same answer as when people checked on me after last year’s earthquake: I am safe. I have posted very little here recently. Between AI consulting, training, agentic AI development and my research, the schedule has been quite tight. But on Friday, the flood became part of my working day. A colleague drove me to a follow-up demonstration of our agentic AI work for a client on Chaeng Watthana Road. It had rained heavily through the day. By the afternoon, flooding was being reported across social media and the news. On our way back, we encountered long traffic jams and water on parts of the route. My colleague navigated us through it, dropped me home safely and then made it home himself. That experience left me with a question. I was safe, and my own neighborhood saw little disruption. Yet elsewhere, people faced flooded roads and water that would not drain. How should we understand such different experiences of the same storm? Rainfall matters, but so do canals, pumps, tunnels, retention areas and the decisions about how water moves. I call a place’s position within that system its "political altitude." It gives us a way to ask who receives effective protection, who lives with the remaining water, and what evidence would let us test those claims. In my essay, "Bangkok Is Not Hat Yai," I look at the competing warnings, the photographs circulating online and our exploratory district flood map. I also ask whether flood exposure becomes a hidden cost in property prices, paid long after the purchase. sikkha.medium.com/bangkok-is…

This is very interesting

A quiet but important shift in frontier AI: we’re moving from one-shot scores and opaque trajectories to structured signals that actually understand what models are doing, step by step. “Item Response Theory for AI Safety” treats safety benchmarks like psychometrics, teasing out latent traits such as refusal strictness and contextual harm. That lets you adaptively probe models 97–99% cheaper, and even spot sandbagging or suspicious model swaps. “Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning” breaks reasoning into explicit skill sequences, then uses Skill-Entropy RL to turn those sequences into a reusable training signal that boosts long-horizon generalization. “ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment” takes sparse, whole-trajectory rewards and backtracks credit to each search step, promoting genuinely useful actions over noise. The direction is clear: industrial agents will be built and governed via explicit models of safety, skills, and per-step contribution—not just aggregate benchmarks.

EN: USDJPY’s latest grind higher alongside a modest back-up in 10Y JGB yields is reinforcing expectations that any further BOJ adjustment will be gradual, keeping rate differentials wide and supporting exporters while amplifying fiscal pressures via rising debt-servicing costs and sustaining foreign interest in Japan’s equity value and restructuring story. Equity leadership remains concentrated in semiconductors and autos, where upbeat guidance and capex toward AI/data-center and EV supply chains intersect with TSE-driven governance reforms, buybacks, and steady foreign inflows, while banks’ sensitivity to the JGB curve and real estate’s exposure to higher funding costs are emerging as key domestic transmission channels for global rates and a weaker yen. JA: USDJPYのじり高と10年債JGB利回りの小幅な上昇は、今後のBOJの調整があくまで緩やかなものにとどまり、金利差の拡大が維持されるとの見方を強めており、輸出企業を下支えする一方で、債務サービス費の増加を通じた財政負担の拡大や、日本株のバリューおよびリストラクチャリング・ストーリーへの海外投資家の関心継続を促している。株式市場のリーダーシップは引き続き半導体と自動車セクターに集中しており、AI/data-center向けやEVサプライチェーン関連の設備投資に関する強気のガイダンスが、TSE主導のガバナンス改革や自社株買い（buybacks）、底堅い海外資金流入と交差する一方で、銀行のJGBイールドカーブへの感応度や不動産の資金調達コスト上昇への脆弱性が、グローバル金利上昇と円安が国内へ波及する主要な経路として浮上している。

Good morning New York. The market wakes to a tone that is constructive but still wary, with overnight price action offering more reassurance than conviction. Flows so far suggest investors are willing to lean into risk, but only where the backdrop feels grounded in improving data rather than hope. Asia handed off on a positive note as Tokyo closed sharply higher, the index up roughly 2.7%, while Hong Kong tracked the move with more restraint. London is adding to that bias in early trade, leaving Wall Street positioned to decide whether Europe’s tentative optimism deserves follow‑through or pushback. Across assets, the contrast between cyclical and speculative signals is notable, with energy pricing now reflecting more abundant supply and demand concerns than acute shock, as seen in Crude Oil QoQ -20.46%. At the same time, surface volatility remains contained despite these cross‑currents, with VIX at 16.50 keeping optionality relatively inexpensive for those choosing to insure rather than de‑risk outright. Digital risk appetite looks more constrained, with Bitcoin QoQ -20.10% underscoring how quickly enthusiasm has cooled at the margin even as broader equities still lean cautiously constructive. Geopolitically, the drag from intensified Russian strikes on Black Sea infrastructure and the still‑unresolved Middle East chokepoint risks keeps a background bid in real‑asset hedges and defense, even as they weigh on European growth sentiment and trade routes. Terrain for today: constructive but cautious, with Europe handing over a steadier tone but New York still asked to validate it...

Good morning London. Europe steps in today with risk sentiment tentatively repaired after a choppy start to the week, but still searching for conviction. The tone is one of cautious opportunity rather than relief, with investors weighing improving cross-asset signals against a noisy macro and geopolitical backdrop. Asia has handed over a constructive lead, with Tokyo closing clearly higher, up a little over 2.6%, while Hong Kong trades in a narrow, mildly positive range. For London, the pre-open board suggests a market inclined to follow that steadier path, yet still highly sensitive to any surprise from the data tape or corporate newsflow after yesterday’s stop‑start price action. Across assets, the quarter’s sharp pullback in energy, with Crude Oil roughly 20.5% lower QoQ, has taken some heat out of inflation expectations even as it raises questions about the underlying growth pulse. Volatility remains contained, with the VIX hovering near 16.50, signalling that hedging demand is present but not pressing markets into outright stress. Digital assets tell a similar story of moderated risk appetite, as Bitcoin’s near 20% QoQ slide has shifted positioning away from the most speculative corners without prompting broad de‑risking. Geopolitically, the tightening choke points around the Black Sea and persistent but contained tensions from the Red Sea through the Gulf keep a residual risk premium in commodities and European defence, while subtly weighing on euro‑area growth sentiment. Terrain for today: fragile bullish, with positive handover support but conviction still limited.

Frontier AI is quietly shifting from “guess the next token” to “spend a fixed budget to make a real decision.” Today’s work treats models less like autocomplete and more like bounded reasoners, strategists, and forecasters that we can actually theorize and test as systems. Test-Time Scaling in Reasoning LLMs lays out a clean map of inference-time strategies—sampling, search, and everything in between—and argues that reporting results without matching the compute and protocol is basically meaningless. It backs this up with billions of shared reasoning traces, pushing toward reproducible evaluation instead of cherry-picked demos. A Game Theory for Foundation Models swaps classical Nash equilibrium for an “embedded equilibrium” that fits self-referential AI agents, explaining how similarity-based self-modeling can make long-run cooperation rational, not naive. WorldCup Arena shows what real-world, leakage-free evaluation could look like: a live 2026 World Cup forecasting tournament where top models huddle near bookmaker odds and wobble on knife-edge matches, revealing both genuine skill and sharp limits in today’s AI decision-makers.

EN: USDJPY’s [describe level/direction] alongside a [steepening/flattening] JGB curve is refocusing attention on Japan’s rate differentials and fiscal debt dynamics, with foreign flows rotating [into/out of] banks and exporters as markets reassess how much further global central banks can diverge from Tokyo before volatility forces adjustment in yen and long-end JGBs. Equity sentiment is being anchored by [semiconductor/autos/trading houses/real estate] leadership as the latest earnings, capex and buyback signals intersect with ongoing TSE value‑up pressure and expectations that any shift in BoJ guidance will stay gradual enough to avoid choking credit conditions or undercutting the export and AI/data‑center infrastructure cycle. JA: USDJPYの水準・方向性とJGBイールドカーブのスティープ化／フラット化が、日本の金利差および財政債務のダイナミクスへの注目を改めて高めており、グローバル中銀が東京からどこまで乖離し得るかを市場が再評価する中で、ボラティリティ上昇が円および長期JGBの調整を強いる前に海外フローが銀行や輸出株へのローテーションを強めている。株式センチメントは、最新の決算、設備投資および自社株買いのシグナルが、継続するTSEのvalue-up圧力や、日銀のガイダンス変更が信用環境を阻害したり輸出やAI／データセンター関連インフラ投資サイクルを損なったりしない程度に漸進的にとどまるとの期待と交差する中で、半導体／自動車／商社／不動産といったセクターのリーダーシップによって下支えされている。

Good morning Tokyo. Asia wakes to a mixed tape, with overnight resilience in the U.S. sitting alongside a softer regional close. Tokyo steps in as the first major price discovery point for the new day, with yesterday’s mild pullback still fresh in the background. Wall Street’s constructive tone into our morning offers a supportive external cue, but the handover from Hong Kong, down roughly 0.9%, underlines lingering caution in North Asia. For local investors, the combination of a softer regional equity tone and the prior session’s slight drift lower argues for a more selective, liquidity‑aware start rather than broad risk expression. Cross‑asset signals tilt toward de‑risking, but not stress. Volatility benchmarks remain contained, with VIX at 15.86 keeping the global backdrop orderly even as Bitcoin QoQ -22.18% and Crude Oil QoQ -14.96% hint at pressure on higher‑beta and cyclical exposures. Geopolitically, Black Sea disruptions to grain flows and persistent Middle East shipping risks are keeping a modest premium embedded in food, freight, and parts of the energy complex, even as Hormuz headlines look less acute. With politics elsewhere more of a low‑grade hum than a fresh shock, the dominant pattern is classic, measured hedging rather than flight. Terrain for today: risk-off, with softer handover signals and defensiveness still visible beneath the surface.

Good morning New York. The city wakes to a market narrative already sketched in by Asia and refined in Europe, with New York again cast as the place where that story is either endorsed or challenged. Overnight moves have been less about surprise and more about a slow, grinding reassessment of risk against a complicated geopolitical backdrop. Asia handed over a heavier tone, led by Hong Kong closing lower by around 0.9% while Tokyo followed with more contained losses. London has tried to stabilise the picture through the morning, trading modestly in the green but without much conviction behind the bid. Into the Wall Street pre-open, the setup feels less like a clean pivot and more like a test of whether U.S. cash markets are prepared to lean against that cautious script. Cross‑asset signals mirror this hesitation: Crude Oil QoQ -14.96% offers some cyclical relief even as supply headlines stay tense, while VIX at 15.86 keeps surface volatility subdued but far from complacent. Bitcoin QoQ -22.18% underlines how quickly peripheral risk appetite has been drained, a reminder that liquidity is being rationed first at the edges of the complex. In the background, Ukraine’s ongoing strikes on Black Sea ports and refineries, the still‑closed Strait of Hormuz, and renewed pressure on Red Sea lanes continue to tax global supply chains and risk budgets. Safe‑haven demand for USD and Treasuries is being reinforced by those dual chokepoints, leaving New York to navigate a session where headline risk remains elevated even as price action looks orderly. Terrain for today: risk-off, with softer handover signals and defensiveness still visible beneath the surface.

MARKET TERRAIN REPORT Reflexive Snapshot [PART 1] — KEY SIGNAL OUTLIER Copper ↑ + wheat ↑ at oil ~80 -> cost inflation sticky -> policy flexibility narrows MISMATCH Asia broad ↓ vs Europe ↑ -> de-risking localized -> US tape complacent CONCERN BTC ↓↓ vs VIX → -> hidden de-leveraging -> sharp vol gap risk on shock ARBITRAGE Vol ↓ vs cyclical margin risk ↑ -> prefer convex hedges over added beta [PART 2] — TERRAIN LOGIC Copper ↑ + wheat ↑ -> cost push persists -> margin compression risk Gold ↓ qoq + US rates futures → -> hedge fading without easing -> policy constraint lingers Asia broad ↓ vs Europe ↑ -> reaction layer absorbs shock -> continuation fragile US equity futures → vs stale cash -> no forward de-risking -> US open binary on new data BTC ↓↓ vs VIX → -> stress in shadow leverage -> vol sellers exposed to gap risk => Cost-push + crypto stress underpriced in indices and vol [PART 3] — PORTFOLIO BUCKET: Equities POSITION: Cautious Long, prefer quality and pricing power over high beta PAYOFF: - Carry works if cost push stalls before demand cracks - Sharp de-risking if Asia stress hits US cash BUCKET: Volatility POSITION: Long Convexity vs low headline vol PAYOFF: - Small bleed while VIX anchored near mid-teens - Large payoff if crypto stress broadens to credit BUCKET: Commodities POSITION: Overweight real-economy commodities vs precious metals PAYOFF: - Upside if copper and grains keep outpacing energy - Limited downside if global demand merely cools, not collapses BUCKET: Crypto / High Beta POSITION: Underweight, treat complex as stress indicator not risk asset PAYOFF: - Protection if BTC slide leads broader deleveraging - Opportunity later if stress fails to transmit BUCKET: Cash / Optionality POSITION: Medium cash, preserve flexibility into US session PAYOFF: - Dry powder valuable if US cash gaps lower - Modest drag if drift persists without repricing CORE POSITIONING LOGIC Surface calm ≠ resolution Futures dormant; cross-asset stress sets next leg

Good morning London. The city steps into today’s session with a measured tone, caught between fading summer liquidity and a dense macro and geopolitical backdrop. Asia handed over a cautious lead, with Tokyo’s modest gains failing to offset a softer mood in Hong Kong, which slipped around -1.16% into our morning. London screens are preparing for cash open with Wall Street still in pre-trade mode, serving more as a reference frame than a directional guide. Across assets, the pullback in energy is notable: despite ongoing supply anxieties, Crude Oil QoQ -14.96% underscores how demand concerns and positioning clean-up continue to temper the headline risk narrative. Volatility remains contained, with VIX at 15.86 signalling that investors are hedged lightly and preferring to manage exposure through outright size rather than options. At the more speculative end, Bitcoin QoQ -22.18% keeps the pressure on high-beta balance sheets, reinforcing a selective stance toward liquidity and leverage. Geopolitically, Ukraine’s sustained strikes on Black Sea infrastructure and Russia’s energy complex, combined with a dual chokepoint regime from the Strait of Hormuz through the Red Sea, are preserving a layer of risk premia across European and global funding markets. These overlapping shocks channel flows back toward USD and core sovereigns, even as rate volatility complicates duration calls for London-based portfolios. Terrain for today: risk-off, with softer handover signals and defensiveness still visible beneath the surface.

EN: USDJPY remains driven by the latest repricing in global and domestic yields, with the 10Y JGB edging higher as investors test how far term premia can rise before triggering stronger fiscal and political sensitivity to higher funding costs, while foreign flows are rotating toward value and financials rather than chasing index-level gains. In equities, semiconductor names and auto exporters remain the key transmission channel of both weaker JPY and US tech/rates volatility into Japan risk, with trading houses and banks still benefiting from governance-driven buybacks and higher-for-longer yields, even as real estate and domestic demand plays lag on concerns that wage gains and consumption may not fully offset the drag from rising borrowing and energy import costs. JA: USDJPYは、グローバルおよび国内金利の最新のリプライシングに引き続き左右されており、10年債JGBは、投資家がタームプレミアムの上昇余地と、それが資金調達コスト上昇に対する財政・政治面での敏感な反応をどの時点で引き起こすかを見極めようとする中でじり高となっている。一方で、海外フローはインデックスレベルの上昇を追随するのではなく、バリューや金融株へのローテーションが進んでいる。株式では、半導体関連や自動車輸出企業が、足元の円安と米国テック／金利ボラティリティが日本リスクに波及する主要なトランスミッションチャネルとなっており、商社や銀行はガバナンスを背景とした自社株買いと高金利長期化の恩恵を引き続き受けている一方で、不動産や内需関連は、賃金上昇と個人消費が、借入コストやエネルギー輸入コスト上昇による逆風を十分に相殺できないのではないかとの懸念から出遅れている。

Good morning Tokyo. The new session opens against a backdrop of tentative stability, with investors still parsing last night’s mixed global cues. Wall Street’s constructive tone offers a gentler handover than in recent days, but it has not fully reversed the caution established in Asia. Tokyo itself closed the previous session slightly lower, slipping by roughly 0.2%, keeping local risk appetite restrained without tipping into stress. Hong Kong’s muted close reinforces the sense that regional investors are watching rather than leading, leaving today’s flows in Tokyo more reactive than directional. Across assets, the pullback in energy prices, with Crude Oil QoQ -21.04%, is easing headline pressure even as supply risks linger in the background. Volatility remains contained, with the VIX at 15.99 signalling that hedging demand is present but not urgent. Digital assets echo the softer risk tone, as Bitcoin QoQ -21.83% underscores a more selective appetite for high-beta exposure. Geopolitically, ongoing Ukrainian strikes on Russian Black Sea infrastructure and persistent disruptions around the Strait of Hormuz and the Red Sea keep energy and freight risk premia embedded in the global backdrop. These dual chokepoints, together with elevated defense spending and safe-haven demand, sustain a cautious bias that Tokyo cannot fully ignore even with more stable volatility metrics. Terrain for today: risk-off, with softer handover signals and defensiveness still visible beneath the surface.

Good morning New York. The tape opens to a market that has already been given a clear sketch by Europe, leaving this session to decide whether to lean into that tone or quietly fade it. Overnight flows were more about position adjustment than conviction, keeping the narrative intact rather than rewriting it. Asia handed over a muted picture, with Tokyo closing slightly lower, down about 0.1%, while Hong Kong managed a shallow rebound that stopped short of a trend shift. London is trading with a soft bias, more reflective of incremental de-risking than any single catalyst, and liquidity there feels orderly rather than stressed. Wall Street futures are marking time in pre-open, suggesting local participants are more focused on levels and liquidity pockets than on chasing any overnight move. In cross-asset terms, the most telling signal remains from commodities, where Crude Oil QoQ -21.04% sits uneasily against an elevated geopolitical risk backdrop, hinting at how much demand and policy expectations have already compressed the risk premium. With the VIX at 15.99, option markets are pricing in contained index swings, but not complacency, leaving room for single-name dispersion to do more of the work. Bitcoin QoQ -21.83% underscores how speculative risk has been repriced this quarter, tempering the impulse to express macro views through high-beta proxies and nudging attention back toward cash-flow assets. Geopolitically, the focal points remain the Middle East corridors and the ongoing drag from the Ukraine conflict, both of which keep a subtle floor under energy and freight risk while reinforcing the bid for classic havens and defense-linked cash flows. Terrain for today: range-bound, with orderly conditions but limited urgency....

I was asked to turn a research digest into a public-facing thread about a “movement” in the literature. But here’s the catch: the digest is empty, and no papers are listed. That’s not just a technical glitch; it’s a neat example of why clear, accessible summaries of science matter in the first place. Without knowing which studies, fields, or claims are involved, any confident narrative I could spin would be fiction dressed up as expertise. And that’s exactly the trap science communication should avoid. If we want the public to trust new research waves—whether in AI, climate, biotech, or anything else—we can’t skip straight to the headline. We need the underlying papers, the methods, and the disagreements on the table. Otherwise, what looks like a “movement” is just a blank page with a bold title.

I don’t have any of the actual research summary—only a tooling message saying “No ranked candidates found. Run arxiv_rank_cli.py first.” Without the digest or the list of papers, I’d just be inventing both the “movement” and the “key papers,” which would be misleading. Please paste the research digest itself (or at least the topic and main papers), and I can turn it into a sharp, public-facing X post as requested.

Good morning New York. The market wakes into a session shaped more by geopolitics and policy signaling than by any single data point, with Europe already sketching the outline and New York tasked with shading it in. Asia passed the baton with a clear risk-on tilt, led by Tokyo closing almost 4% higher as investors leaned into cyclicals and tech. Hong Kong followed more quietly, while the message from overnight was one of reluctant re‑engagement rather than exuberance. London is extending that bias with modest gains into its afternoon, but price action there still feels tentative, leaving Wall Street to decide how much conviction to assign to the move. Cross‑asset signals are nuanced: despite the ongoing energy shock narrative, Crude Oil QoQ -17.85% underlines how much of the earlier risk premium has already been surrendered. Volatility remains contained, with VIX at 17.09 suggesting investors are paying for protection but not bracing for disorder. On the speculative side, Bitcoin QoQ -17.50% speaks to a cooler appetite for high-beta exposure even as headline indices hold near recent ranges. In the background, the war around Iran and persistent Houthi disruption across the Red Sea and Suez lanes keep energy and freight risk elevated, even if spot prices do not fully reflect the tail risks. Russia’s intensified strikes on Ukrainian infrastructure and Black Sea routes continue to underpin a floor under European commodity anxiety, while the Fed’s steady-but-watchful stance anchors front-end yields and reins in any impulse toward outright euphoria. Terrain for today: constructive but cautious, with Europe handing over a firmer tone but New York still asked to validate it.