🚀 Sol-H3: @MiniMax_AI H3 Video Generation Faster Than Playback 🤩 Five seconds of world. 1.653 seconds to infer. We’re releasing Sol-H3, our fastest end-to-end MiniMax-H3 inference stack yet. On one 8× NVIDIA B300 Blackwell system, it generates five seconds of 1344×768 video with stereo audio in 1.653 seconds. Across 1×, 4×, and 8× B300, Sol-H3 reaches up to a 15.54× speedup versus Base H3. Compared with 50-step Base H3 Dense on the same 8× B300 system, the four-step Sol-H3 profile delivers: • 5s: 18.250s → 1.653s (11.04×) • 10s: 50.660s → 3.732s (13.57×) • 15s: 99.513s → 6.612s (15.05×) Sol-H3 also scales across GPU counts: • 4× B300: 2.918s / 6.993s / 12.542s for 5s / 10s / 15s (12.11–15.54×) • 1× B300: 13.745s / 37.813s / 52.260s for 5s / 10s / 15s (9.45–14.29×) All figures are medians of three measured runs after one warmup at 1344×768 and 24 FPS with stereo audio. Base H3 uses 50 scheduler points (49 DiT forwards); Sol-H3 uses four DiT forwards, so this is a full-profile comparison—not an attention-only runtime change. Sol-H3 uses Dense attention on 1× B300 and SOL with INT8 QKV / FP8 output transport on 4× / 8×. Timing includes text encoding, DiT denoising, and video/audio VAE decoding; model loading, compilation warmup, and final MP4 encoding are excluded. Sol-H3 brings Sol-Engine × Sol-Attn into one full-stack runtime: • dynamic sparse attention with no retraining • fused norm, RoPE, MLP, and sparse-attention setup • fused INT8 QKV / FP8 output communication across 8 GPUs • parallel, batched VAE decoding • precomputed AdaLN caching Inside the stack: • sparse-attention setup: 1.206 → 0.285 ms (−76.4%) • VAE decode: 7.55 → 0.602 s • ~24 GB memory freed per GPU Any MiniMax-H3 few-step LoRA can plug into the same engine, and the code is deployment-friendly under Apache 2.0. For us, the bigger milestone is crossing from “fast generation” into “faster than playback.” That opens the path toward continuous 24 FPS generation and truly interactive video systems. We’re excited to partner with @reactorworld to release Sol-H3 and make it available as an API day-0. Try it now on Reactor: 🔗 Amazing team effort—full credits in the blog. @shanasaimoe @lawrence_cjs @yitongli165665 @haopengl33 @HaochengXiUCB @songhan_mit

🚀BITCOIN BULL RUN IMMINENT🚀 WE LIVE IN A SIMULATION. Bitcoin bear markets priced in GOLD have lasted: 406 days. 416 days. 440 days. Historical average: 421 days. So naturally the latest Bitcoin/gold bear market bottoms after... 433 DAYS. Then Bitcoin proceeds to rip +41% against gold. Apparently the monetary system has a RESPAWN TIMER. We spent 14 months watching everyone declare Bitcoin dead for the 900th time while the hardest-money ratio was quietly approaching the exact same historical expiration date like a frozen pizza in God’s microwave. And the funniest part? Bitcoin even made a LOWER LOW in dollars afterward... ...while making a HIGHER LOW against gold. Now get this. We are 6 months and 5 days passed the bottom now. Walk forward that length of time from each BTC/XAU bottom in history. Forward returns in USD: Six months forward +36.8% -9.1% +55.1% Median: +36.8% Two of the three periods were strongly positive, while 2019 ran directly into the COVID-era disruption shortly afterward. Twelve months forward The results become much more interesting: +144.5% +1.6% +87.2% Median: +87.2% And crucially: 3 out of 3 were positive 12 months later. If today's cycle merely matched those historical medians mechanically: 6-month median analogue $80,279 × 1.368 ≈ $109,800 BTC 12-month median analogue $80,279 × 1.872 ≈ $150,300 BTC Fiat chart: “OH GOD IT’S OVER.” Hard-money chart: “sir, your bear market subscription has expired.” At some point you have to consider the possibility that Bitcoin is not trading randomly. It is simply running a recurring program designed to transfer wealth from people who panic after 400 days to people autistic enough to count them.