The cheapest MiCA-regulated crypto exchanges ↓ (bookmark for later) Revolut – 0% / 0.09% OKX – 0.08% / 0.1% Gate – 0.1% / 0.1% Bybit – 0.1% / 0.3% Bitvavo – 0.2% / 0.3% Blockchaincom – 0.2% / 0.4% Bitpanda – 0.3% / 0.3% Kraken – 0.3% / 0.4% Bitstamp – 0.3% / 0.4% Cryptocom – 0.3% / 0.5% Robinhood – 0.5% Bit2Me – 0.5% / 0.6% Coinbase – 0.6% / 1.2% eToro – 1% Swissquote – 1% / 1% Data from @DefiLlama.

World Currencies vs. the U.S. Dollar One-Year Change As of June 30, 2026: 🇨🇴 Colombian peso: +19.2% 🇮🇱 Israeli shekel: +13.2% 🇭🇺 Hungarian forint: +8.9% 🇿🇦 South African rand: +8.1% 🇲🇽 Mexican peso: +7.7% 🇨🇳 Chinese yuan: +5.6% 🇦🇺 Australian dollar: +5.2% 🇧🇷 Brazilian real: +5.2% 🇲🇾 Malaysian ringgit: +3.1% 🇳🇴 Norwegian krone: +1.8% 🇨🇱 Chilean peso: +1.0% 🇪🇬 Egyptian pound: +0.8% 🇭🇰 Hong Kong dollar: +0.1% 🇦🇪 UAE dirham: 0.0% 🇶🇦 Qatari riyal: 0.0% 🇸🇦 Saudi riyal: -0.2% 🇷🇺 Russian ruble: -0.4% 🇨🇿 Czech koruna: -1.1% 🇸🇬 Singapore dollar: -1.7% 🇨🇭 Swiss franc: -1.8% 🇹🇭 Thai baht: -2.3% 🇸🇪 Swedish krona: -2.4% 🇪🇺 Euro: -3.0% 🇩🇰 Danish krone: -3.1% 🇬🇧 Pound sterling: -3.4% 🇨🇦 Canadian dollar: -4.1% 🇵🇱 Polish złoty: -4.2% 🇳🇿 New Zealand dollar: -6.8% 🇹🇼 Taiwan dollar: -8.2% 🇵🇭 Philippine peso: -8.2% 🇮🇩 Indonesian rupiah: -9.3% 🇮🇳 Indian rupee: -9.4% 🇯🇵 Japanese yen: -11.3% 🇰🇷 South Korean won: -12.6% 🇹🇷 Turkish lira: -14.6% 🇦🇷 Argentine peso: -18.9% Source: Deutsche Bank, Bloomberg Finance LP.

🇺🇸US DATA RUNS HOT: INFLATION STICKY, DEMAND FIRM INFLATION • Headline PCE MoM: +0.2% vs +0.1% est.; prior -0.1% • Headline PCE YoY: +3.7% vs +3.6% est.; prior +3.7% • Core PCE MoM: +0.2% vs +0.2% est.; prior +0.1% • Core PCE YoY: +3.3% vs +3.3% est.; prior +3.3% GDP • Q2 GDP annualized: +1.5% vs +1.5% est.; prior +1.5% • Personal consumption: +3.4% vs +3.2% est.; prior +3.2% • GDP Price Index: +6.4% vs +6.2% est.; prior +6.2% • Core PCE QoQ: +3.6% vs +3.4% est.; prior +3.4% INCOME & SPENDING • Personal income MoM: +0.4% vs +0.2% est.; prior +0.2% • Personal spending MoM: +0.2% vs +0.1% est.; prior +0.3% • Real personal spending MoM: 0.0% vs 0.0% est.; prior +0.4% DURABLE GOODS • Durable goods orders MoM: +1.1% vs +0.5% est.; prior +0.5% • Durables ex-transportation: +0.4% vs +0.6% est.; prior +0.7% • Core capital goods orders: +0.2% vs +0.7% est.; prior revised to +1.7% • Core capital goods shipments: +1.4% vs +1.0% est.; prior revised to +2.4% BOTTOM LINE: Inflation remains sticky while consumer demand and headline durable goods beat expectations. GDP growth was in line, but stronger price pressures could keep the Fed cautious on rates.

MiniMax H3 Fashion Lookbook | Anime Character Reveal + Editorial MV Prompt🔥 Made this high-saturation anime PV with 13 fast visual beats in 15 seconds. A few years ago, this would’ve been days of AE work. Now? Prompt → generate → refine. Prompt 👇 Create a **15s, 16:9, 24fps anime character reveal trailer** with **13 fast visual beats**. Style: **Japanese anime opening × premium AAA motion graphics × fashion campaign**. The video should feel **explosive, sexy, stylish, bold and high-impact**, with **80% motion graphics and 20% character action**. ## CHARACTER LOCK — HIGHEST PRIORITY AO is a **young adult East Asian anime woman** with a sexy, confident Japanese anime aesthetic. She has: * small refined face * sharp expressive crimson eyes * glossy lips * confident, teasing gaze * slim feminine curvy figure * long elegant legs * stylish, cool, alluring presence Keep her identical throughout: * chin-length vivid red bob with messy bangs * crimson-red eyes * black choker * fitted red cropped top * short white cropped jacket, worn open * black mini skirt or fitted shorts * red belt detail * black thigh strap * white-and-red platform sneakers * subtle silver accessories Preserve the same face, body proportions, hairstyle, outfit, materials and colors in every shot. **Never redesign AO. Never change her face or outfit. If a shot becomes too complex, simplify the action first.** ## VISUAL STYLE Palette: **vivid red, crimson, white, black, silver**. Use: giant kinetic typography, red circles, diagonal slashes, manga speed lines, split screens, halftone dots, barcode strips, UI ticks, freeze frames, RGB flashes, impact shakes, poster layouts and graphic wipes. Every beat should feel: **fast, sharp, sexy, explosive, graphic and iconic**. Keep typography bold and readable. Editing: hard cuts, aggressive snap zooms, whip pans, speed ramps, freeze frames, impact shakes and foreground wipes. ## 13 VISUAL BEATS **01 | 0.0–1.0s** White field. Massive red circle slams into frame. Black bars slash across. UI ticks flicker. Giant **A**, then **O**, hit with heavy impact shake. **02 | 1.0–2.0s** The O becomes a circular frame showing an extreme close-up of AO’s crimson eye and glossy lips. She gives a teasing side glance. RGB flash. Circle bursts into red-and-white fragments. **03 | 2.0–3.1s** Black background, huge white **AO**. AO enters fast, turns sharply and power-slides beneath the typography. Red speed streaks trail behind her. Whip-pan out. **04 | 3.1–4.0s** Three red/white/black vertical panels. AO appears in three poses: hip turn, hair touch, over-shoulder stare. Huge vertical **FULL SPEED** moves behind her. **05 | 4.0–5.1s** AO jumps through a rotating typography ring reading **NO BRAKES / ALL EYES ON ME**. One clean mid-air spin. Snap zoom into her confident face. **06 | 5.1–6.0s** White editorial frame. Huge black **HOT** with a red slash. AO crosses the frame with a runway-like step, one hand at her waist. Typography compresses and rebounds. **07 | 6.0–7.0s** Bright red field with black diagonal stripe. AO performs one smooth fast turn. Three ghosted freeze positions trace the movement. Giant outlined **TURN** rotates behind her. **08 | 7.0–8.0s** Words hit one per beat: **HOT / FAST / WILD / RED** AO changes pose with each word: direct stare, hair toss, hip shift, confident forward lean. **09 | 8.0–9.0s** Black frame with manga perspective lines and a graphic grid. AO steps forward and freezes in a strong hero pose. Red circular target graphics lock around her. **10 | 9.0–10.1s** AO moves toward camera through three red-and-white graphic panels. Each panel shatters as she passes. Large **A O** fragments appear behind her. Finish with a hair or leg foreground wipe. **11 | 10.1–11.1s** Rapid poster montage: four frames of the same AO — close-up stare, walking, side pose, hands at waist. Add **01–04**, barcodes, halftone dots and sharp Japanese poster graphics. **12 | 11.1–13.0s** Hero moment on a clean white background. AO lands in a powerful fashion pose: one leg forward, one hand at her waist, chin lifted, direct eye contact. Huge red shockwave rings explode behind her. Typography fragments and speed lines burst outward. Hold an iconic confident freeze. **13 | 13.0–15.0s** Final identity card. Huge black **AO** on a bright white field. AO stands relaxed and alluring in front of the letters. Red circles, halftone, technical arcs and sharp speed accents surround her. Final red pulse flashes through the frame and ends on a hard stinger. ## ANIME STYLE Premium modern Japanese anime rendering: * clean cel shading * sharp linework * polished highlights * cinematic close-ups * dynamic perspective * fashion-editorial full-body framing * smooth hair and fabric motion AO must look like a **stylish adult anime heroine**, not chibi and not childish. ## AUDIO Hard-hitting **electro / future bass / anime-opening style music**. Use: heavy drums, bass hits, risers, glitch fills, synth stabs, typography slams, whooshes and shutter impacts. Build continuously. Peak at Beat 12. End with a sharp electronic stinger. ## PRIORITIES 1. AO identity consistency 2. sexy adult anime character design 3. red-black-white outfit consistency 4. maximum visual impact 5. readable typography 6. premium anime rendering 7. fast beat-synced editing Avoid: childlike proportions, chibi style, blue clothing, face changes, outfit changes, extra characters, unreadable typography, weak motion, dull compositions or generic schoolgirl styling. Final result: **explosive, sexy, red-hot, premium, graphic-driven and visually unforgettable.** Try MiniMax H3 on Ima Studio 👉 #MiniMaxH3# #MotionDesign# #Anime# #AIVideo# #ImaStudio#

🇬🇧 England vs Norway 🇳🇴 – All Historical Football Matches 1937: Norway 0-6 England 1938: England 4-0 Norway 1949: Norway 1-4 England 1966: Norway 1-6 England 1980: England 4-0 Norway 1981: Norway 2-1 England 1992: England 1-1 Norway 1993: Norway 2-0 England 1994: England 0-0 Norway 1995: Norway 0-0 England 2012: Norway 0-1 England 2014: England 1-0 Norway England wins: 7 Draws: 3 Norway wins: 2

🚨 SlowMist TI Alert 🚨 The Shai-Hulud malware has resurfaced via the npm account atool(i@hust.cc), with over 600 malicious versions published. Notably, high-download packages such as size-sensor@1.1.4 (4.2M dl/mo), echarts-for-react@3.1.7 (3.8M dl/mo), and @antv/scale@0.6.2 (2.2M dl/mo) are at elevated risk. The attack carries risks: 1. AI agent hijacking: Claude Code, Codex, and VS Code tasks can trigger a Bun bootstrapper that re-executes the malicious payload. 2. Credential harvesting: The malware collects credentials from cloud services, GitHub, npm, local environments, and CI/CD pipelines. Using ^ to specify version ranges may cause npm to automatically install versions that have been compromised or contain security risks. Detection & Mitigation Measures: • Audit dependencies for any package published by atool (i@hust.cc) and check for suspicious preinstall scripts • Remove compromised packages and rotate all exposed credentials • Inspect CI/CD pipelines and local Node.js projects for malicious hooks or workflows • Revert to safe package versions or known-good dependencies ⚠️ Critical Action: Treat any system with affected packages as potentially compromised. Apply mitigation steps immediately.

📌 VI. Trigger Matrix (V2.0 – Observation Status Log) Observation Item Current Value Threshold Status Consecutive Days/Trend Super-Capital Concentration Risk 9.3 8.0 ESCALATION ↑ 1 day (new) AI Governance Risk 8.8 8.0 ESCALATION ↑ 1 day (new) Resilience Ratio 0.63 0.70 ESCALATION ↑ 4 days US-Iran Deal Signing Status 接近 Formal Signing WATCH — Brent Crude Oil Price 3-mo low — THRESHOLD_CROSSED 1 day New Ebola Health Zone (DRC) Confirmed spread — THRESHOLD_CROSSED 3 days EU Accession Talks Launched — THRESHOLD_CROSSED 1 day Items Near Threshold (Elevated Observation): Observation Item Current Value Threshold Current Status • Formal signing of US-Iran deal 接近 Formal Signing ALERT • SpaceX market cap stability Above $2T Drop below $2T WATCH • OpenAI probe scope expands Multi-state Federal involvement ALERT • G7 Summit statements on AI & trade 即将 held Substantive regulatory共识 WATCH • Cross-border Ebola spread Risk rising First邻国 confirmed case ALERT • Clustered cases in fan zones No reports Confirmed cluster transmission WATCH --- 📅 VII. Key Observation List for the Next 72 Hours Grade A Observations (High Impact): Observation Item Potential Impact if Triggered 1. Formal signing of US-Iran MOU Geopolitical entropy pressure declines further, but execution risk仍需 assessed. 2. SpaceX market cap stability above $2T Test of sustainability for super-capital concentration narrative. 3. OpenAI probe expands to federal level Potential further upgrade to AI governance risk level. 4. G7 Summit statements on AI & trade First collective test of institutional response capacity. Grade B Observations (Medium Impact): Observation Item 1. Expansion of Ebola outbreak zone in DRC 2. Subsequent日程 for EU accession negotiations 3. Public health data during FIFA World Cup --- 📜 VIII. CRI Calculation Summary (V1.6) Variable Weight Risk Score Weighted Contribution V_capital 20% 9.3 1.86 V_tech 18% 8.8 1.58 V_inst 18% 8.1 1.46 V_geo 15% 7.5 1.13 V_human 10% 7.6 0.76 V_expansion 8% 7.9 0.63 V_market 6% 7.2 0.43 V_energy_price 5% 6.5 0.33 Total 100% CRI = 8.2 Calibration Notes: Added V_capital variable (weight 20%) to reflect super-capital concentration as a new structural risk dimension. V_tech上调 to 8.8 (AI governance race launch). V_geo下调 to 7.5 (US-Iran deal接近, declining war risk). --- 📌 IX. Structural Conclusion On June 13, 2026, the global civilizational system's Resilience Ratio remains below the 0.70警戒线 for the fourth consecutive day. What is most worth recording today is not war – but the first time in human civilization that private wealth approaches the GDP of a中等发达国家. When a single entrepreneur owns a satellite network, rocket system, AI platform, energy network, financial capital, and global data流入口, civilization is entering a new organizational form: Transitioning from nation-state-led civilization to platform-infrastructure-led civilization. If the core question of the 20th century was "How to constrain state power?", then the core question of the latter half of the 21st century may well become "How to govern super-platform power."

Tesla is still dominating. In the first half of 2026, they secured over 52% of the U.S. EV market. 1. Tesla: 52.3% — 242,100 units sold 2. Chevrolet: 6.1% — 28,267 3. Hyundai: 5.8% — 26,936 4. Cadillac: 4.7% — 21,855 5. Rivian : 4.7% — 21,770 6. Toyota: 4.7% — 21,767 7. Ford: 3.6% — 16,606 8. Kia: 2.7% — 12,627 9. BMW: 2.4% — 10,790 10. Subaru: 2.2% — 10,064 11. Honda: 1.8% — 8,407 12. Lexus: 1.7% — 7,814 13. GMC: 1.4% — 6,645 14. Lucid: 1.1% — 5,208 15. Volvo: 0.9% — 3,964 16. VW: 0.8% — 3,768 17. Mercedes: 0.6% — 3,010 18. Porsche: 0.6% — 2,967 19. Other Brands: 0.6% — 2,596 20. Nissan: 0.4% — 1,774 21. Audi: 0.4% — 1,697 22. Genesis: 0.1% — 560 23. Dodge: 0.1% — 534 24. Jeep: 0.1% — 418 25. Mini: 0.1% — 307 26. Acura: 0.0% — 108 (Data Via Cox Automotive Q2 2026 EV sales)

# Decision Points in AI Agent Development # Temperature 🎯 The Hook Are you using the same temperature for every task in your agent? Temperature isn't just a "creativity knob." In agent systems, structured outputs, tool calls, and user-facing responses each need fundamentally different temperature settings. Using one value for everything is leaving performance on the table. 📋 Overview Temperature controls how "peaked" or "flat" the probability distribution is when an LLM selects its next token. Near 0, the highest-probability token wins almost every time, producing deterministic and stable output. Higher values flatten the distribution, allowing lower-probability tokens through, increasing diversity and creativity. In AI agent systems, the optimal temperature varies dramatically across contexts: generating structured output, assembling tool call arguments, and producing free-form text each call for different settings. Temperature should be treated as a dynamic variable that shifts with task type, not a single fixed constant. 🔍 Decision Points Temperature is primarily driven by task_variability -- how routine vs. creative the task is. The decision flow is straightforward 🧭 1. Structured output (JSON / function calling)? → 0.0-0.3 2. Accuracy-first (fact extraction, classification, summarization)? → 0.2-0.5 3. Dialogue, explanation, communication? → 0.5-0.7 4. Creative writing, brainstorming, candidate generation? → 0.7-1.0 Additionally, higher failure_cost pushes the temperature ceiling down, and high cost_sensitivity environments should account for retry cost increases from higher temperatures. 💡 Key Details Reference values by task type 📊 - Structured output (JSON / function calling): 0.0-0.3. Minimizing schema violations is the priority - Classification, extraction, data transformation: 0.0-0.2. Accuracy and reproducibility are paramount - Summarization, explanation, customer support: 0.5-0.7. Balance naturalness with accuracy - Creative writing, brainstorming, candidate generation: 0.7-1.0. Diversity is the source of value - Tool argument generation: 0.0-0.2. Precise function and argument names are non-negotiable - Planning and reasoning: 0.3-0.6. Some exploration helps, but maintain logical consistency Start structured output temperature at 0. If schema violations occur at 0, the problem is your prompt or schema -- never rely on higher temperature to "accidentally" produce correct output 🚫 ⚖️ Trade-offs Too low and conversations become robotic 🤖 The model returns identical answers to identical questions, giving users a "template response" impression. Best-of-N sampling also breaks down -- candidates become near-identical, costing N times more for essentially N=1 results. Too high and structured outputs start breaking 💥 JSON field names drift, types mismatch, hallucinations increase -- especially dangerous for proper nouns, numbers, and dates. Tool call instability and loss of reproducibility compound the problem. Monitor the retry cost impact of temperature changes. If schema violation rates exceed roughly 5%, consider lowering the temperature. 🛠️ Use Cases Vary temperature by pathway within a single agent 🔀 Planning steps at 0.3-0.5, tool argument generation at 0.0-0.2, user-facing responses at 0.5-0.7. When switching models, adjust temperature simultaneously for a natural fit. Using Best-of-N? You need to raise the temperature. Generating N=5 candidates at temperature 0 produces 5 near-identical outputs. For N>1, set temperature to 0.5-0.8 and let a Judge select the best from diverse candidates. Be careful combining temperature with top_p ⚠️ Adjusting both simultaneously creates multiplicative effects with unpredictable behavior. As a rule, tune one and leave the other at its default. #AIAgents# #SoftwareArchitecture#

ZEROBASE WEEKLY 8.10-8.16 ZBT came under pressure this week, trading overall in the $0.085–$0.105 range. It opened near $0.105 on August 10, gradually pulled back through mid-week (dipping toward the mid-$0.08s), and closed the period around $0.083–$0.087. Despite the notable decline of roughly 15–20% from the weekly open, trading volumes remained decent on most sessions and liquidity conditions stayed relatively stable, with bid-ask spreads holding at reasonable levels. Crypto markets traded lower and range-bound this week amid fading post-jobs momentum, mixed ETF flows, regulatory delays, and persistent Middle East supply risks. Total cryptocurrency market capitalization drifted from roughly the $2.21–$2.22T area early in the period toward approximately $2.16T by the weekend, reflecting modest net outflows in risk appetite. Bitcoin opened the week near $64,800–$65,000 on August 10 (with intraday highs above $65,300), then ground lower through mid-week, touching lows near $62,500–$62,800 before stabilizing. It closed the period around $62,900–$63,100, for a net weekly decline of roughly 2.7–3.5% from the August 10 levels. Ethereum moved in a tighter band, starting near $1,900–$1,910, dipping below $1,870, and finishing near $1,870–$1,880 — a weekly loss of approximately 1.5–2%. Derivatives metrics pointed to cautious positioning. Open interest held relatively steady-to-soft (total crypto OI near $117B by weekend), 24-hour liquidations stayed moderate outside of brief volatility spikes, and funding rates on major pairs hovered near neutral to mildly negative, consistent with reduced leverage appetite in thin summer liquidity. Macro and geopolitical developments supplied the main headwinds and occasional relief. Ongoing U.S.-Iran tensions and the Strait of Hormuz disruption remained central: negotiations between Iran and Oman on temporary shipping arrangements stayed incomplete, with Tehran continuing to demand compensation, sanction relief, and an end to the U.S. naval blockade. Houthi strikes on Saudi facilities added to supply concerns. Brent crude rose from the mid-$80s early in the week toward the high-$80s (settling near $88.50 by August 16), while WTI climbed into the low-to-mid $80s — a weekly gain of more than 5% for both benchmarks after the prior week’s decline. Higher energy prices reinforced inflation stickiness concerns even as other data softened. July CPI data released on August 12 came in line with expectations and provided limited relief: headline CPI rose 0.1% month-over-month (3.4% year-over-year, down from 3.5%), while core CPI rose 0.2% MoM (2.5% YoY). Energy prices continued to ease on a monthly basis but remained elevated annually. The print, following the previous week’s weak nonfarm payrolls (-23,000), supported the view that the Fed could stay on hold longer, yet it failed to catalyze a sustained crypto rally as liquidity remained light and regulatory overhang persisted. U.S. equity markets finished the core trading week (through August 14) mixed. The S&P 500 posted a modest gain of approximately 0.4% (closing near 7,830), the Nasdaq Composite edged higher by roughly 0.1–0.2% (near 26,730), while the Dow Jones Industrial Average declined about 0.6%. Technology and semiconductor names showed dispersion amid AI-spending scrutiny and oil volatility; overall risk assets consolidated after the prior week’s stronger advance driven by the soft labor report. Institutional flows shifted from the prior week’s strong inflows. U.S. spot Bitcoin ETFs had recorded roughly $850–$865 million in net inflows over the preceding five sessions (August 3–7). This week opened with a notable outflow of approximately $145 million on August 10, followed by small positive or negative prints and further net outflows (including roughly -$61 million on August 12, -$131 million on August 13, and -$58 million on August 14), leaving the period net negative for BTC products. Ethereum ETF flows were more mixed, with intermittent modest inflows offsetting earlier redemptions. Regulatory caution added pressure: the SEC cancelled a planned meeting on crypto rules, and the Senate entered recess without advancing the Clarity Act (now eyed for September). The Crypto Fear & Greed Index remained firmly in Fear territory, fluctuating mostly in the 26–35 range (ending near 34). On-chain data offered a more constructive contrast to the soft price action. Large holders (“strongest hands”) continued to accumulate: the number of wallets holding ≥10,000 BTC reached a six-month high near 90, and addresses in the 10–10,000 BTC cohort added substantial volume (earlier estimates pointed to ~$1.5 billion equivalent accumulation since late July). Whales recorded one of the larger single-day accumulations in recent months (over 46,000 BTC on one notable session), while smaller/micro wallets distributed. Some dormant supply (2010–2017 vintage) moved, though residual non-clustered activity remained elevated relative to July. Exchange inflows from whales early in the week signaled selective distribution readiness, yet the overall rotation toward larger, longer-term holders continued to build support at current levels. In summary, the August 10–16 period delivered a measured pullback and consolidation in spot prices. Soft CPI and lingering hopes for a less restrictive Fed stance were outweighed by fading ETF momentum, regulatory delays, thin liquidity, and elevated energy prices from the unresolved Hormuz disruption. Higher oil is likely to keep near-term inflation sticky, yet the labor-market cooling already underway points to limited room for aggressive further tightening. With on-chain accumulation by large holders providing a floor and ETF flows showing early signs of stabilization potential, the market remains in a cautious consolidation phase within a still-complex macro and geopolitical backdrop.