Eurozone shares +0.2% (-1.4% wk) US shares -0.4% (+0.1% wk) as strong payrolls boost case for Fed rate hike, Trump call to cut not helping! US 10 yr yld +1bp to 4.78% Oil +0.2% to $91.5 Gold -1% to $4430 Iron ore +1% to $100.3 Bitcoin $79.7k ASX futures -0.01% $A 0.72 w $US +0.3%

🇬🇧 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

During Tesla Cybercab launch week in Austin, I took a total of 12 paid Cybercab rides and kept every receipt. TOTAL: • 12 rides • 29.7 miles traveled • $108.34 total spent • $3.65 average cost per mile • 2 hours and 19 minutes riding around Austin in a Cybercab • Compared to Uber and Waymo, every Cybercab ride was still ~30-50% cheaper EACH OF MY CYBERCAB RIDES: 1/ Sept 3 — 7:23 PM 3.9 miles · 16 min · $8.70 ≈ $2.23/mile 2/ Sept 3 — 7:53 PM 0.5 miles · 6 min · $4.65 ≈ $9.30/mile 3/ Sept 4 — 6:52 AM 2.5 miles · 12 min · $6.99 ≈ $2.80/mile 4/ Sept. 4 — 7:13 AM 2.4 miles · 11 min · $6.84 ≈ $2.85/mile 5/ Sept. 4 — 7:39 AM 1.8 miles · 11 min · $6.16 ≈ $3.42/mile 6/ Sept. 4 — 8:03 AM 1.4 miles · 8 min · $5.69 ≈ $4.06/mile 7/ Sept. 4 — 8:20 AM 3.3 miles · 15 min · $7.90 ≈ $2.39/mile 8/ Sept. 4 — 10:58 AM 4.0 miles · 19 min · $8.78 ≈ $2.20/mile 9/ Sept. 4 — 11:58 AM 2.6 miles · 8 min · $7.08 ≈ $2.72/mile 10/ Sept. 4 — 2:17 PM 2.8 miles · 11 min · $13.71 ≈ $4.90/mile 11/ Sept. 5 — 12:57 PM 2.4 miles · 10 min · $16.18 ≈ $6.74/mile 12/ Sept. 5 — 1:36 PM 2.1 miles · 12 min · $15.66 ≈ $7.46/mile One of the biggest things I learned from actually using Cybercab is that you cannot judge the economics from just one ride. Pricing is dynamic. Some of my longer rides came in cheaper around $2.20–$2.40 per mile. Some of the shorter or higher-demand rides were much more expensive. Sometimes, the Cybercab was even more expensive than the Model Y (Unsupervised) bc the demand was so high. Some of the rides also became more expensive as Cybercabs became bookable on September 4 to the general public. However, it’s hard for me to look at these receipts and not wonder how Uber and Lyft can compete if Tesla can scale Cybercab the way it wants to. Uber and Lyft were built around connecting riders with human drivers. That means every ride has to support a much bigger cost stack... like 1/ A human has to be paid. 2/ That person needs a car. 3/ That car has to be financed or purchased. 4/ It needs insurance. 5/ Maintenance. 6/ Fuel or charging. 7/ And then Uber or Lyft still needs its cut. Cybercab attacks the biggest cost in that entire system which is the driver... there is no driver waiting to be paid at the end of the ride. And Tesla is supplying the software. Tesla can build the car. Build the battery. Build the autonomy system. Operate the network. Control the app. Control the charging. And the team designed the Cybercab from Day 1 around being a Robotaxi instead of taking a normal consumer car and trying to make the economics work. This is a big deal. Bc if Tesla can manufacture these at huge scale, keep them on the road for most of the day, and keep bringing the cost per mile down, then Uber and Lyft are going to be competing with the company that built the vehicle, the driver, and the network ALL AT ONCE. And this was during launch week... with just ~45 Cybercabs, before this vehicle is anywhere close to mature scale. If Tesla can push that cost down further as the fleet grows to thousands and millions, while Uber and Lyft still have to pay a human being to sit behind the wheel… I really don't see how these companies can survive... I think the days of Uber and Lyft are limited.

🔶 PS5 & PC Shared update details! 🔸As a token of appreciation for all the love and support from our players, we've prepared 6 newly arranged tracks based on existing BGM. Visit 'The Last Gulp' in Xion to receive 'A Thank You Gift From Enya' -The Song of the Sirens (Arrange) -Star Descent (Arrange) -Arisa (Arrange) -Democrawler (Arrange) -Everglow (Arrange) -Hypertube (Arrange) 🔸Fixed an issue in Orbital Elevator - 'CARGO LIFT 121' where resting during the elevator dialogue could occasionally cause the dialogue to restart or the elevator to freeze. 🔸Fixed an issue in Boss Challenge where Scarlet would disappear during a phase transition cutscene if Tachy Mode was activated. 🔸Fixed an issue in the NIKKE collaboration mini-game where using 'Burst Skill △' on specific monsters would make them immune to Eve’s ranged attacks, preventing progress. 🔸Fixed an issue where the reeling icon appeared gray after switching the fishing method from 'Reel In Controls' to 'Timing Controls' input. 🔶 PC // 1.4.0 New update details. 🔸Fixed an issue where, on PC, using a controller with 'Swap Confirm/Cancel Buttons' enabled would cause the UI to display incorrectly after completing a quest. 🔸Fixed an issue during the 'Oblivion' side-quest where the flooded water would disappear before reaching the sewage control device' step, intermittently preventing progression 🔸Improved key input handling so that Left/Right variants (L/R) of modifier keys (Ctrl, Alt, Shift, Cmd) are now recognized as the same input. 🔸Fixed an issue where dodging became unavailable if the player attempted to dodge while shooting after using 'Burst Skill X' in the NIKKE mini-game. 🔸Fixed an issue where a black box would appear on screen when playing on a Samsung Odyssey 3D monitor. 🔸Various other bug fixes. #StellarBlade# #PS5# #PC# #Update#

🧩 Qwen3.8-Flash-Next: A 6B-Active Preview of the Qwen4 Architecture On the same night Zhipu's GLM-5.3-Flash took over the timeline, @Alibaba_Qwen open-sourced Qwen3.8-Flash-Next — explicitly positioned as a preview of the Qwen4 architecture. Zhihu contributor Kitt在进化 argues that for people who actually run models locally, this is the more practical release of the night. The local-deployment groups he is in are, in his words, on fire. His take: the model is called 3.8, but the architecture is really Qwen4 in preview — and it borrows the best ideas from across the field. 1️⃣ Smaller, cheaper, and realistic for local deployment Flash-Next has 125B total parameters with only 6B active — far smaller than the 300B-class GLM-5.3-Flash. The API is priced at ¥1 input, ¥3 output, and ¥0.1 per cached million tokens, roughly matching DeepSeek-V4-Flash's off-peak rates. His comparison, per 1M tokens in RMB — input / output / cache hit: 🔹 Qwen3.8-Flash-Next: 1.0 / 3.0 / 0.1 🔹 GLM-5.3-Flash: 0.4 / 1.4 / 0.115 (limited-time promo rate) 🔹 DeepSeek-V4-Flash (off-peak): 1.5 / 4.5 / 0.05 2️⃣ A Qwen4 preview wearing a Qwen3.8 name The author points out this is the same play Zhipu made: GLM-5.3-Flash's architecture is also completely different from GLM-5.3. Shipping the new architecture as open weights early is deliberate pathfinding. Inference frameworks like vLLM and SGLang, plus the quantization toolchain, all need lead time to adapt before Qwen4 proper arrives. 3️⃣ An architecture that borrows from everyone The author reads Flash-Next as a synthesis of the field's best recent ideas. 🔹 Attention: Qwen's in-house QSA, built to balance throughput and speed on long context. 🔹 Knowledge: it absorbs DeepSeek's Engram line of work, packing prior knowledge into 51B of N-gram side parameters — high knowledge density at minimal compute cost. 🔹 Training: the Muon optimizer, popularized by Kimi, scheduled together with AdamW. 4️⃣ Half the active parameters, still overtaking At 6B active, Flash-Next is nearly half the size of DeepSeek-V4-Flash — yet Qwen's reported benchmarks show it overtaking that model on multiple coding and agent leaderboards. The author says he is not worried about real-world experience: the recent Qwen3.8-27B already proved itself in daily use, and this sits on the same foundation. 🔗 Full Reading: #Qwen# #Alibaba# #Qwen4# #OpenWeights# #LLM# #AIInference# #MoE#

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#

Zebra 6.4.0 and 6.4.1 are out 🦓 🔐 Security fixes, including forged block bodies that could stall sync 💰️ ZIP 317 conventional fee lowered to 1,000 zatoshis per logical action ⛏️ Precomputed block templates for miners ⚠️ 6.4.1 halts ~Nov 2 ahead of NU7. Upgrade now 👇️

Bun v1.4.1 is a big upgrade to Bun’s bundler. On a 200-route React app over simulated 4G, navigating between routes is 38% faster than Bun v1.4.0, and 10% faster than Vite v8.2.2.