CHOOSE YOUR FIGHTER Warren Buffett vs Stanley Druckenmiller Buffett stepped down as Charman of Berkshire Hathaway $BRK.B today. Druckenmiller has never had a losing year in more than 30 years. Here are their full portfolios as of Q2 2026. BERKSHIRE HATHAWAY - Apple $AAPL: 22% - American Express $AXP: 17% - Google $GOOGL: about 12.6% across both share classes - Coca-Cola $KO: 11% - Bank of America $BAC: 9.2% - Chevron $CVX: 4.7% - Occidental $OXY: 4.3% - Chubb $CB: 3.9% - Moody's $MCO: 3.7% - Kraft Heinz $KHC: 2.6% - DaVita $DVA: 2.1% - Delta $DAL: 1.8% - SiriusXM $SIRI: 1.2% - VeriSign $VRSN: 0.8% - Kroger $KR: 0.7% - Liberty Live $LLYVA: about 0.6% across both share classes - Ally $ALLY: 0.4% - Lennar $LEN: 0.4% - New York Times $NYT: 0.4% - Capital One $COF: 0.2% - Louisiana-Pacific $LPX: 0.1% - Nucor $NUE: 0.1% - Macy's $M: 0.1% - NVR $NVR - Jefferies $JEF - D.R. Horton $DHI DUQUESNE FAMILY OFFICE - Natera $NTRA: 17% - Insmed $INSM: about 5.7% in shares and calls - Taiwan Semi $TSM: 5.4% - Brazil ETF $EWZ: about 5.1% in shares and calls - Amazon $AMZN: about 4.6% in shares and calls - STMicro $STM: 4.5% - S&P 500 Equal Weight $RSP: about 3.7% in calls and shares - Fox $FOXA: about 2.8% across both share classes - YPF $REPYY: 2.7% - CDW $CDW: about 2.7% in shares and calls - BBB Foods $TBBB: 2.3% - Google $GOOGL: 2.3% - Seagate blockstack:native: 2.3% - United Airlines $UAL: 2.1% - Sea $SE: 2.0% - NewAmsterdam Pharma $NAMS: 2.0% - Russell 2000 ETF $IWM: 1.9% in calls - Sandisk $SNDK: 1.5% - Revolution Medicines $RVMD: 1.4% - S&P 500 ETF: 1.3% in calls - Bitdeer: 1.2% - CRH: 1.1% - Delta: 1.1% - Tesla $TSLA: 1.0% in calls - Fluor: 1.0% - D.R. Horton: 0.9% - Coupang: 0.9% - AMD: 0.8% - Palo Alto Networks: 0.8% - Cleveland-Cliffs: 0.8% - Hut 8: 0.7% - Caris Life Sciences: 0.6% - Argentina ETF: 0.6% - Woodward: 0.5% - Meta: 0.5% in calls - Nuvation Bio: 0.5% - Protagonist Therapeutics: 0.5% - Roku: 0.5% - Cavco: 0.5% - ADMA Biologics: 0.4% - Hyperliquid Strategies: 0.4% - Rambus: 0.4% - Rhythm Pharmaceuticals: 0.4% - Champion Homes: 0.4% - Daktronics: 0.4% - PureCycle: 0.4% - Southern Copper: 0.4% - Linde: 0.4% - Entegris: 0.4% - Teva: 0.4% - Unity: 0.4% - Aeva: 0.4% - Riot Platforms: 0.4% - Qnity Electronics: 0.4% - Equinix: 0.4% - Lam Research: 0.4% - Definium Therapeutics: 0.3% - Belite Bio: 0.3% - 10x Genomics: 0.3% - Wabtec: 0.3% - Eli Lilly: 0.3% - Xenon Pharmaceuticals: 0.3% - Olema Pharmaceuticals: 0.2% - Repligen: 0.2% - Rocket Companies: 0.2% - Baidu: 0.2% - Arm: 0.2% - Carvana: 0.2% - Reddit: 0.2% - Alcoa: 0.2% - Thermo Fisher: 0.2% - Danaher: 0.2% - F5: 0.2% - Vista Energy: 0.2% - Skeena Resources: 0.2% - JBS: 0.1% - Monte Rosa Therapeutics: 0.1% - Relay Therapeutics: 0.1% - DBV Technologies: 0.1% - CCC Intelligent Solutions: 0.1% - UWM Holdings: 0.1% - Navitas Semiconductor: 0.1% - Solstice Advanced Materials: 0.1% - FTAI Aviation: 0.1% - Beam Therapeutics: 0.1% - Aurora Innovation: 0.1% - IREN: 0.1% - Grupo Financiero Galicia: 0.1% - Wave Life Sciences: under 0.1% Both own Google, Delta and D.R. Horton. Neither owns Nvidia $NVDA.

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)

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#

Had the chance to catch up on earnings from @BitGo and @FWDind Quick Summary: BitGo is mainly representative of the infra layer being compressed with few catalysts in the short term. Margins are compressing across the board. Assets on platform are resilient and institutional clients keep onboarding, but there isn't much to be excited about beyond prices going up again. Take rates on the core trading business continue to compress, derivatives are still soft, and the competitive landscape is fierce. Staking shows the same dynamic: institutions negotiate lower take rates, so growth comes in at worse economics. Stablecoin-as-a-Service is still relatively small. Beyond the fact that stablecoin supply hasn't grown much, you're essentially underwriting the growth of the market outside USDT and USDC. A very small slice, and not one I'm particularly bullish on. The silver lining: BTGO traded flat on the print, so pretty much all of this looks priced in already. And underneath the margin noise, the parts of the business that are hardest to replicate keep compounding: the custody relationships, the regulated footprint, and the stablecoin reserve balances that grow regardless of where take rates settle. 📊 Headline Financials Total Revenue: $4,329.4M, +14.7% QoQ, +79.6% YoY (mostly gross-recognized spot pass-through) Revenue Net of Direct Costs: $42.5M vs $49.0M in Q1, roughly -13% QoQ. The economically relevant line Net Loss: (19.0)M vs $(60.7)M in Q1. Improvement is mostly a smaller unrealized BTC mark ( (18.8)M vs $(53.7)M) plus SBC normalizing off the IPO spike Adjusted EBITDA: $(4.2)M vs $(1.7)M in Q1 and +$3.0M in Q2'25. Excluding +$5.6M of realized disposal gains they don't strip out, underlying is closer to $(10)M Cash: $159.0M. 2,523 BTC (~$147.7M). No corporate debt. New $50M buyback. $1.3M restructuring charge tied to ~$15M annualized savings 🔍 Segment Detail Digital Asset Sales: $4,197.5M rev, +14.7% QoQ, +84.3% YoY. Net contribution ~$7.1M. Margin 17 bps vs 32 bps in Q1 and 19 bps in Q2'25 on lower spot spreads and lower derivatives mix. Q1's mix-driven margin improvement reversed in one quarter Staking: $64.7M rev, +30.9% QoQ, -28.8% YoY. Take rate 6.0% vs 16.1% in Q1 and 10.0% in Q2'25. Volume up, monetization down. Take rate path of 7.6% → 16.1% → 6.0% over three quarters makes this the least predictable line Subscriptions and Services: $27.5M rev, +7.7% QoQ, +8.5% YoY. Includes one-time ecosystem/implementation work Stablecoin-as-a-Service: $38.8M rev, +1.7% QoQ, +148.0% YoY. Take rate 8.0% vs 7.4% in Q1 and 2.6% in Q2'25. Restricted reserves at $4,634.9M, +5.5% QoQ and +39.9% YTD, the durable driver. ~$155M annualized run rate at improving take rates Interest Income: $0.8M

Last wk, S&P/Nas/Mag7 +0.4%/+0.1%/-0.8%. Cooler inflation (CPI, PPI) & economic data (consumer sentiment, retail sales) but +5% oil steepened the yield curve but lowered odds of a rate hike. Looking forward, I continue to believe the impact of Agentic AI with the advent of OpenClaw on January 30th has at least a year to run: 1) Token production has gone up roughly ~7.5x from the end of January more than offsetting the nearly 50% token cost reduction seen since open-weight model usage started to take off in May. 2) Combined annualized run-rate revenues for OpenAI and Anthropic which ended last year at $29B seems to be around $100B currently with Anthropic getting profitable in Q2. 3) Capex from the Big6 hyperscalers accelerated from 84% y/y/ in CQ1 to 92% in CQ2 with forecasts for nearly 100% in Q3. But this is being supported by cloud revenue growth at the 3 Big Public cloud vendors of $AMZN $MSFT $GOOGL accelerating from 23% y/y in Q1:25 to 35% in Q1:26 to 43% in Q2:26. Arguable more important is public cloud operating margins expanded from 34% to 37% and 39% during those time periods. 4) The $500B financing deal backstopped by up to $125B from $NVDA adds even more lower cost money to fund AI capex spend for the non-hyperscaler players. Nvidia gained 0.5% last week. 5) The liquidation of Situational Awareness and retail accounts during July cleared out some of the frothiness in the AI related names In terms of negatives: 1) The cost of money (yields on government bonds) remain near the highest levels for the 30 yr tenor at 5.3% since 2007. 2) Given large scale offensive US military actions are seemingly off the tablein favor of financial sanctions, probably driven by current election polls, I now believe Iran is likely to hold the Strait of Hormuz hostage until past the US mid-terms. This would be akin to them releasing the US hostages in 1981 (they were held for 444 days) just hours after President Reagan was sworn in replacing Carter. There were severe financial sanctions then also. 3) Since 1990, which happens to be the Gulf War, from the end of July through November 9th, which covers the reaction to all mid-term results, the performance is worse than non mid-term years. For mid-term years the median S&P500 gain from 7/31-11/9 is 0.9% with gains 56% of the time but the median peak loss from 7/31 is 6.2% (intra-period median peak loss of 9.9%.) For non mid-term years the median gain is 2.7% from 7/31-11/9 with gains 59% of the time and the median peak loss from 7/31 is 3.5% (intra-period median peak loss of 5.2%.) This year with the momentum seen by the Socialists which are not big business friendly, I see more risk than normal. 4) The easy money on the AI technical rebound from oversold levels on 7/29 due to the forced sale by Situation Awareness is probably over. There were negative stock reactions to headline beat and raise earnings on both revs & EPS for AI infrastructure winners $CSCO (-8% for the week but still up +45% YTD), $AMAT (-6%/+97%) and $COHR (-14%/+77%). While negatives can always be found, their biggest crime was arguably their recent bounce from 7/29-8/7 of 8%, 24% and 71% respectively and their market beating YTD gains. In summary, I remain bullish. Even from the end of July through November 9th during mid-term years since 1990, the S&P has an additional median gain of 4.2% to its peak before giving some of that back closer to the election. Given some of the negatives, especially the reaction to solid earnings data, I would add some hedges back on further market gains and get more selective. Consumer discretionary hedges should also make sense if oil is higher for longer. I believe value should continue to accrue to the infrastructure layer which includes 1) the public cloud vendors such as Amazon, Microsoft, Google and 2) the semiconductor companies. $INTC, my favorite semi company, still gained 0.8% last week despite: 1) a $20B equity offering which causes ~5% dilution and 2) being up 178% YTD. This clears the funding overhang. All the best in the week ahead.

📌 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."

SNB Sees 2026 Inflation At 0.7% (Prev 0.6%) Sees 2027 Inflation At 0.8% (Prev 0.6%) Sees 2028 Inflation At 0.8% (Prev 0.7%) Sees 2026 Swiss GDP Growth At 1.5-2% (Prev 1.0%) Sees 2027 Swiss GDP Growth At 1.5% (Prev 1.5%)

OECD Forecasts US 2026 Growth Of 2.2% (Vs 2.0% In June), 2.1% In 2027 (Vs 1.8%) - World 2026 Growth Of 2.9% (Vs 2.8% In June), 3.0% In 2027 (Vs 3.1%) - China 2026 Growth Of 4.5% (Unchanged), 4.2% In 2027 (Vs 4.3%) - Euro Area 2026 Growth Of 1.0% (Vs 0.8% In June), 1.0% In 2027 (Vs 1.2%) - Japan 2026 Growth Of 0.8% (Vs 0.6% In June), 0.7% In 2027 (Vs 0.8%) - UK 2026 Growth Of 1.1% (Vs 0.9% In June), 1.0% In 2027 (Vs 1.1%)

MACY'S $M Q2’26 EARNINGS HIGHLIGHTS 🔹 Revenue: $4.9B (Est. $4.83B) 🟢; +1.1% YoY 🔹 Adj. EPS: $0.63; incl. $0.23 tariff refunds 🔹 Adj. EPS ex-Refund: $0.40 (Est. $0.37) 🟢 🔹 GAAP EPS: $0.62; +100% YoY; incl. refunds 🔹 Adj. EBITDA: $457M; incl. tariff refunds Raises FY26 Guide: 🔹 Revenue: $21.7B-$21.8B (Est. $21.91B) 🔴; from $21.5B-$21.75B 🔹 Adj. EBITDA Margin: 7.8%-8.0% (Est. 8.1%) 🔴; from 7.7%-7.9% 🔹 Adj. EPS: $2.15-$2.35 (Est. $2.25) 🟡; from $2.00-$2.20 🔹 Comparable Sales Change: 1.0% to 1.5%; from 0.5% to 1.2% Other Q2 Metrics: 🔹 Comparable Sales: +2.7% 🔹 Go-Forward Business Comps: +2.8% 🔹 Macy's Comps: +1.1% 🔹 Bloomingdale's Comps: +11.3% 🔹 Bluemercury Comps: +6.2% 🔹 Gross Margin: 41.5%; incl. 180 bps refunds Key Updates: 🔸 Tariff refunds: $98M of IEEPA refunds received in Q2 and $18M after quarter end ($116M total); the net benefit was $84M pre-tax, $0.23 per share after tax and 180 bps of gross margin — excluding it, adjusted EPS was $0.40, +14% YoY, and gross margin was up 10 bps; the FY26 guide reinvests the majority of the refunds, with ~$0.05 per share flowing through to adjusted EPS Comments: 🔸 “The investments we're making are driving results across our portfolio, from the continued outperformance of our Reimagine 200 Macy’s stores, to meaningful double-digit growth at Bloomingdale’s and another solid quarter at Bluemercury.”

# 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#