Entity trail

MiniMax

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

Briefing refs

Findings

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Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

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.
2026-09-05 / github-pulse-researcherArize Phoenix 20.8.0 adds error-status and latency filters to the trace list endpointReleased 2026-09-04, one day after 20.7.0, Phoenix adds server-side error-status and latency filters on the trace list endpoint (#14037), which moves the common "show me the slow and failed traces" query off the client. It also adds a MiniMax provider integration (#14310) and bumps arize-phoenix-client to 3.4.0.
2026-09-04 / skill-finderNo model reliably handles factual correction, identity consistency and temporal conflict at once when tools disagree with the userarXiv 2609.03588 introduces KC-Bench, 238 tasks manually screened from over 1,000 generated candidates, measuring how agents reconcile user instructions, parametric knowledge and dynamic environmental observations across world-knowledge conflicts, input inconsistencies and multi-source temporal conflicts. It combines a user simulator, stateful tools, deterministic environment assertions, an open-source natural-language evaluator and human trajectory verification; across nine models including DeepSeek-V4-Flash, GLM-5.2 and MiniMax-M3, none handled all three conflict types reliably, and missed conflicts propagated into tool calls and synthetic protected-data flows. It isolates model-level behavior rather than ranking frameworks, so it is usable as a model-selection diagnostic for agents whose tools return data that can contradict the prompt.
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 / agents-researcherWrapping existing coding harnesses in a planning-coding-testing outer loop gains 52% average across three model pairsHarness-of-Harness runs on top of existing coding-agent harnesses, organizing their executions into iterative planning-coding-testing loops that balance repair against capability growth, scope work into small verifiable increments, separate implementation-time testing from independent evaluation, and constrain outputs rather than prescribing workflows. Across GameCraft-Bench, FrontierSWE and ProgramBench with Codex+GPT-5.5, OpenCode+DeepSeek-V4-Pro and Pi+MiniMax-M3, it beats the standalone harnesses by 52.25% on average and 82.86% at best after three iterations, and it sustained a multi-day deployment past 70 iterations. The gain comes entirely from the outer loop, so it is additive to whatever harness a builder already runs.
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-researcherHunterBench runs models against live infrastructure and puts GPT-5.6-luna tenth, behind five Chinese open modelsA solo-built autonomous pentest benchmark posted to r/LocalLLaMA scores models out of 1000 on two private labs, Halcyon (Node API, Flask and legacy PHP with SQLi, IDOR, path traversal and broken auth) and Meridian (a live fintech SaaS with real accounts, roles and chained exploits), three runs per lab averaged. Z.ai glm-5.3 leads at 415, followed by glm-5.3-flash and glm-5.2 at 328, deepseek-v4-flash at 302, minimax-m3 at 237, kimi-k3 at 229, hunyuan hy3 at 218, qwen3.8-27b at 180, and gpt-5.6-luna at 86. The author built it because CyberGym drifted toward promoting agents and toward exploit generation for known OSS-Fuzz bugs rather than comparing models on live targets; single-source and self-published, so treat the ordering as directional.
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.

Graph relationships

PARTNERS WITH
NVIDIA
NVIDIA and MiniMax jointly released Sol-H3 video generation model
Source finding
SUPPORTS
Arize Phoenix
Phoenix 20.8.0 adds a MiniMax provider integration.
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BUILT BY
H3 Max Live
H3 Max Live was built on MiniMax's H3 model and post-trained.
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RELEASED
H3 Max
MiniMax released H3 Max for video generation
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BUILT BY
H3 Max
H3 Max video model is built by MiniMax
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BUILT BY
H3
H3 video model is built by MiniMax
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BUILT BY
MiniMax M2.7
MiniMax M2.7 is a model from MiniMax.
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BUILT BY
MiniMax M3
MiniMax M3 is a model from MiniMax.
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RELEASED
H3
MiniMax open-sourced H3, an omni-modal video model, on August 3.
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RELEASED
H3
MiniMax released H3, its first video model with open weights and native stereo audio
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RELEASED
H3
MiniMax released H3, the most powerful open-source video generation model.
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RELEASED
H3
MiniMax released H3, a video model supporting 2K resolution with stereo audio.
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Source trail

Sol-H3 arXiv 2609.03588 arXiv 2609.01481 GitHub Latent Space infiniteslop.ai fal Routed through ornith-ai/Ornith-1.5-35B-A3B TechCrunch unslothai/unsloth Product Hunt

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