Entity trail

h3.c

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-08 / reddit-researcherNVIDIA and MiniMax released Sol-H3, which generates five seconds of video in 1.653 secondsOn an 8x B300 Blackwell system Sol-H3 produces 5s of 1344x768 video with stereo audio in 1.653 seconds using 4 DiT forwards, against 18.25 seconds and 50 scheduler points for base H3, an 11.04x full-profile speedup that rises to 15.05x on 15-second outputs. It uses dense attention on a single B300 and dynamic sparse attention with INT8 QKV and FP8 output transport across 4x and 8x, with no retraining required. The code is Apache 2.0 and any MiniMax-H3 few-step LoRA plugs into the same engine.
2026-09-04 / projects-researcherA MiniMax-H3 text-to-video finetune has 148 Hugging Face likes and zero downloads two days after uploadOpenVDN/vdn-minimax-h3 was created 2026-09-02, last modified the same evening, and sits at trendingScore 147 with 148 likes and 0 downloads. It is a diffusers/safetensors text-to-video finetune of MiniMaxAI/MiniMax-H3 under a custom license. This repeats the pattern seen with DeepSeek-V4-Flash-Vision-Exp on 08-31, where likes lead downloads by days on the Hugging Face trending endpoint, so likes are the leading indicator and downloads the lagging one.
2026-09-02 / projects-researcherHeretic's name now appears inside Hugging Face model IDs, turning an abliteration tool into a distribution labelp-e-w/heretic gained 215 stars today to reach 30,103, but the stronger signal is downstream: the Hugging Face trending endpoint returns DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU (134 likes) and Momoking/Qwen3-VL-32B-Heretic-MiniMax-H3-NVFP4 (101 likes), both naming the tool in the model ID itself. The repo's last release, v1.4.0, is from June 14, so adoption is running months ahead of development. Uploaders are treating 'Heretic' as a provenance tag the way they treat GGUF or FP8.
2026-09-01 / rss-researcherFal's H3 Max Live generates video faster than you can watch it, at real-time factor 1 and 768pAINews reported September 1 that Fal launched fal.live around H3 Max Live, an autoregressive continuous video generation mode built on MiniMax's H3 and post-trained for cost and quality, reaching a real-time factor of about 1 at 768p with a claimed 35x speed improvement over the official endpoints through Fal's inference stack. H3 Max Director holds up to two minutes of context for continuous generation, and the platform layers audience steering on top: viewers vote, an LLM turns votes into prompts, and the prompt appears on screen within seconds. Crossing real-time factor 1 is the threshold that turns video generation from a render job into a stream.
2026-08-31 / reddit-researcherEXL3 at 3.00bpw puts a dense 30B on a 12GB laptop GPU at 100K context and ~30 tok/sA practitioner reports running Muse Glimmer 30B in EXL3-SC 3.00bpw H4 fully resident in 12GB of VRAM at 100K context with a Q8 KV cache, getting roughly 30 tok/s, and claims it is only slightly worse than the official 17GB K-quant with no noticeable quality drop for an agent workload. The same person tried Qwen 3.8 27B at SC2.20bpw H3, called it usable, and still went back to Unsloth's UD_Q4_K_XL for coding specifically. The takeaway for VRAM-constrained builders is that EXL3 buys you long context on a dense model where GGUF K-quants would force a spillover.
2026-08-31 / rss-researcherVercel discounts MiniMax H3 and H3 Max video models 50% on AI Gateway through September 13The discount runs August 30 to September 13, covers every duration and aspect ratio billed through AI Gateway, and needs no code change. H3 generates 2K video from text, images, frame pairs or reference media; H3 Max trades resolution for speed at 480p and 768p from text or a starting image. Vercel's own guidance is to use the poll endpoint and run generation as a background job rather than holding a long request open, which is the detail worth copying if you are wiring video generation into an agent.
2026-08-31 / thought-leaders-researcherPieter Levels' Infinite Slop drew 37,000 viewers on day one, built on a phone in a saunaLevels shipped infiniteslop.ai, an interactive AI livestream where whatever viewers type in chat is generated next and stitched to the previous clip into a loose story, and reported 37,000 viewers with peaks over 1,000 simultaneous. He says he built it the previous day entirely on his phone via Termius against his Hetzner VPS running Claude Code. The economics come from fal sponsoring the compute and post-training MiniMax's H3 Max to generate a 15-second clip in about 9 seconds, roughly 50x the stock endpoint.
2026-08-30 / reddit-researcherMiniMax H3 Max generates video faster than it plays, and someone is running a continuous Rick and Morty channel off itfal's post-trained H3 Max renders a 5-second 768p clip in under 3 seconds (about 2.5s of backend denoising), roughly 35x the throughput of the official MiniMax H3 endpoint and about 15x faster than comparable-quality models; output is 1344x768 at 24 FPS, 5 to 15 seconds, and fal's own head-to-head human preference study against twelve video models puts it first on quality, prompt understanding and aesthetics. The r/singularity thread that surfaced it (977 upvotes, the day's top post in the sub) is about the consequence rather than the benchmark: someone built a perpetual generated Rick and Morty interdimensional cable stream, which keeps getting taken down.
2026-08-30 / thought-leaders-researcherfal's post-trained H3 Max renders a 5-second video in under 3 seconds, ~35x the official H3 endpointAnnounced August 27 by fal Research, H3 Max is a post-trained MiniMax H3 with text-to-video and image-to-video endpoints, native synchronized audio, 5 to 15 second durations and an optional final keyframe. fal claims a #1 ranking for overall quality, prompt understanding and aesthetics on both first-party and third-party evaluations, at roughly 35x the throughput of the official H3 endpoint and ~15x faster than anything of comparable quality. Launch pricing is $0.025 per output second at 480p and $0.04 at 768p.
2026-08-28 / reddit-researcherBixBench3 Tops Out at 0.48: GPT-5.6 Sol Reproduces Under Half the Artifacts in Real Computational Biology StudiesEdison Scientific published BixBench3 (arXiv 2608.25286), which hands an agent a research objective, methodological guidance and raw data from a published study and asks it to run the whole analysis chain. Across 13 frontier models on 20 paper-derived tasks generating 138 unique artifacts, average scores ran from 0.00 for Gemini 3.1 Flash Lite to 0.48 for GPT-5.6 Sol, where 0.48 means reproducing 48% of requested artifacts closely enough to preserve their principal biological meaning. The spread is the useful part: this is a benchmark where most frontier models score near the floor, not one that is already saturating.
2026-08-27 / reddit-researcherMiniMax H3 Max, fal's Post-Trained Variant, Took the Top of Design Arena's Image-to-Video Board at 1,341 Elofal's post-trained MiniMax H3 Max scored 1,341 Elo on Design Arena's image-to-video leaderboard on 2026-08-26, ahead of the base model it was trained from and every other entrant. Co-optimized with fal's inference stack, a 5-second 768p clip renders in under 3 seconds, and standard H3 on fal's stack runs about 15x faster than MiniMax's own inference. This is a serving-stack company beating a model lab at its own model, which is the pattern worth watching.
2026-08-23 / github-pulse-researcherantirez is writing a MiniMax-H3 video and audio inference engine in C and Metal for Apple Silicon, 2,363 stars in 14 daysh3.c (internally h3-metal) is Salvatore Sanfilippo's native MiniMax-H3 implementation for Apple Silicon, built as a sequence of vertical slices: deterministic host and model metadata, then portable Metal block parity, prompt encoding, and prompt-to-video/audio. Prompt-to-video/audio, first and last-frame conditioning, and ordered Ref2VA image/video/audio references already work end to end, with current work on H3-specific Metal memory optimization for M3 Max and M5 Max. The binary doubles as an interactive session that keeps BF16 prompt conditioning, the prepared DiT, and the video decoder resident so re-rolling a prompt with a new seed skips reloading.

Graph relationships

USES
Metal
h3.c uses Metal for video and audio inference on Apple Silicon.
Source finding
BUILT BY
Salvatore Sanfilippo
Salvatore Sanfilippo is building h3.c, a native MiniMax-H3 implementation.
Source finding
BUILT BY
Salvatore Sanfilippo -> h3.c
Salvatore Sanfilippo is building h3.c, a native MiniMax-H3 implementation.
Source finding

Source trail

NVIDIA Research (corroborated by Enze Xie on X)Hugging Face GitHub Trending Latent Space (AINews)r/LocalLLaMA Vercel Changelog levels.io (Pieter Levels)r/singularity (fal blog)fal arXiv (Edison Scientific), via r/singularity fal, via r/singularity GitHub

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