AI Coding Live News

Pika releases open-weight video model Pika H3 Flex: post-trained on MiniMax H3, six-step sampling, five audio stems, API from $0.01 per second

On October 29 Pika released Pika H3 Flex, a joint audio-video generator post-trained on MiniMax H3, with weights on Hugging Face, code on GitHub, and ComfyUI and Diffusers support. Pika says it distilled sampling from 50 denoising steps to six, averages about 1.8x faster DiT denoising than Fal H3 Max at 768p, and can produce a 15-second clip with soundtrack in as little as about 7 seconds; the hosted API adds 1080p to 4K upscaling and five exportable audio stems (dialogue, score, SFX, foley, ambience). All speed and quality figures are vendor-reported.

Pika releases open-weight video model Pika H3 Flex: post-trained on MiniMax H3, six-step sampling, five audio stems, API from $0.01 per second

Key Takeaways

  • Pricing (vendor figures): text/image-to-video from $0.01 per output second, reference-to-video from $0.03/s; Pika's comparison table lists MiniMax H3 at $0.08/s and Seedance 2.5 at $0.103/s
  • Speed (vendor figures): six-step sampling, about 1.8x faster DiT denoising than Fal H3 Max at 768p on average and about 2x for 10–15 s text/image-to-video; 1.60x faster end-to-end 5 s 768p generation on eight B300 GPUs
  • Ranking: Pika's product page says it scores 1293 and ranks #7 on DesignArena's text-to-video board, the highest open-weight model there
  • Release form: the Hugging Face repo is tagged as an adapter on MiniMax-H3 under an 'other' license; local inference natively supports 480p/768p with mixed stereo audio, while 4K upscaling and audio stems are hosted-API only
  • Accepts up to 12 reference inputs (image, audio, video, sketch and more) and supports style transfer, motion transfer, character swap and targeted edits
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Linked Models & Agents:
⚡ Pika H3 Flex⚡ MiniMax H3⚡ Fal H3 Max⚡ HeyGen Video⚡ Gemini Omni 1.1 Flash🌐 Pika🌐 MiniMax

ElevenLabs releases SFX v3 sound effects model: multi-part prompts, better music and vocals, now in ElevenAPI (limited access)

ElevenLabs' official account announced SFX v3 at 18:03 UTC on Oct 29, saying it creates richer, more precise sound effects from a single text prompt, with improved music and vocals, now available in ElevenCreative and ElevenAPI. Official docs list the model ID eleven_text_to_sound_v3 on the existing Sound Effects API, but v2 remains the default and v3 is in limited access and may not be available in every region.

ElevenLabs releases SFX v3 sound effects model: multi-part prompts, better music and vocals, now in ElevenAPI (limited access)

Key Takeaways

  • Model ID: eleven_text_to_sound_v3, on the same Sound Effects API as v2; switch by changing model_id, while eleven_text_to_sound_v2 stays the default
  • Docs list 4 improvements: several instructions in one prompt, music and vocal prompts, more natural output, and less clipping on high-frequency sounds like gongs, chimes and whistles
  • Limited access: accounts without access get an Unknown model error, and it may not be available in every region
  • Duration 0.1 to 30 seconds, billed at 40 credits per second when a duration is specified (Sound Effects endpoint rule), with loop for seamless looping
  • Benchmarks: no quantitative scores published; docs advise comparing v2 and v3 on your own prompts
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Linked Models & Agents:
⚡ SFX v3⚡ eleven_text_to_sound_v3🌐 ElevenLabs

Adobe & Brown University Release OmniXRef: Unified Multi-Reference Video Editing Slashing Camera Trajectory Error by 5x

Adobe Research and Brown University released OmniXRef (arXiv:2610.22744), a unified framework for multimodal multi-reference video editing. Overcoming the limitations of prior systems constrained to text prompts or single visual exemplars, OmniXRef utilizes a single-stream Diffusion Transformer with Mix-Patchify and Reference-Relative RoPE (R2-RoPE) to jointly control camera motion, subject content, dynamic motion, style, and visual effects (VFX). In camera trajectory evaluations, OmniXRef cuts rotation and translation errors by more than 5x compared to leading commercial engines.

Adobe & Brown University Release OmniXRef: Unified Multi-Reference Video Editing Slashing Camera Trajectory Error by 5x

Key Takeaways

  • Adobe Research and Brown University released OmniXRef (arXiv:2610.22744), a unified framework for multi-reference video editing across text, images, and videos
  • Features a single-stream Diffusion Transformer with Mix-Patchify and R2-RoPE for multimodal cross-attention
  • Cuts camera trajectory error by more than 5x over commercial flagship Seedance 2.5, recording 0.874 RotErr and 3.961 TransErr
  • Achieves modular control across Camera, Motion, Content, Style, and VFX with an interactive project page now live
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Vercel: Grok 4.7 on AI Gateway with 40% off through September 27

@vercel announced Grok 4.7 is available on Vercel AI Gateway with 40% off through September 27, and can be tried with v0, eve, and fx. For developers building apps and coding agents on the Vercel stack, this lowers the cost of trying Grok 4.7.

Key Takeaways

  • Grok 4.7 is live on Vercel AI Gateway.
  • 40% off on AI Gateway through September 27.
  • Try it with v0, eve, and fx.
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Vercel: TypeSafe Jev Coming to AI Gateway — Up to 18× Faster Than GPT Luna

Vercel CEO Guillermo Rauch said fx’s default auto mode uses a safety reviewer on every command. That reviewer runs on GPT Luna today; TypeSafe’s Jev is up to about 18× faster at p95 and more accurate, and is coming to Vercel AI Gateway as a likely new default. Earlier, a Vercel engineer reported Jev saturating a classifier eval vs Gemini 2.5 Flash Lite while running about 6× faster.

Key Takeaways

  • Rauch: Jev coming to Vercel AI Gateway and likely the new default reviewer
  • Up to ~18× faster (p95) and more accurate than GPT Luna for command safety review
  • Companion eval: Jev saturated quality vs Gemini 2.5 Flash Lite at ~6× speed
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fx 0.0.10: up to ~1.6× faster turns, ~2.5× faster model starts, auto-upgrade and ctrl+g resume

Vercel CEO Guillermo Rauch (@rauchg) shipped coding-agent CLI fx 0.0.10: changelog cites up to ~1.6× faster turn completion and ~2.5× faster model-request start (biggest gains on long sessions), plus auto-upgrades, ctrl+g restart+resume, and stronger secret protection on MCP errors. Details: https://fx.sh/changelog#v0.0.10.

Key Takeaways

  • fx 0.0.10: up to ~1.6× faster turn completion and ~2.5× faster model-request start on long sessions.
  • Adds auto-upgrades and ctrl+g restart+resume.
  • Stronger secret protection on MCP error paths.
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Vercel Labs becomes an official team for AI-era agent and developer primitives

Vercel engineer Chris Tate (@ctatedev) announced Labs is now an official Vercel team exploring primitives for developers and agents in the AI era—shipping agent-browser, skills, json-render, deepsec, fx, just-bash, portless, vgpu, and more. Support splits into Labs products (maintained), active experiments (fast, breaking), and past experiments; start at vercel.com/labs.

Key Takeaways

  • Labs is now an official Vercel team for AI-era developer and agent primitives.
  • Public tools include agent-browser, skills, json-render, deepsec, fx, just-bash, portless, and vgpu.
  • Support tiers: maintained Labs products, fast-breaking experiments, and past experiments.
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AWS open-sources Agent-EvalKit: six-phase agent evals via slash commands in Claude Code / Kiro / Kilo

AWS open-sourced awslabs/Agent-EvalKit: run evals inside Claude Code, Kiro CLI, or Kilo Code via slash commands like /evalkit.plan and /evalkit.report. Six phases cover plan, data, OpenTelemetry traces, run, score, and code-linked fixes; a travel-research demo scored Response Quality 83.9%, Tool Parameter Accuracy 64.5%, Faithfulness 32.3%—pretty replies still invented temps and FX rates over empty tool results. An AWS ML blog documents the systematic eval approach.

Key Takeaways

  • Open source: awslabs/Agent-EvalKit with slash commands in Claude Code / Kiro / Kilo.
  • Pipeline: plan → data → OTel traces → run → score → code-linked fixes.
  • Insight: demo Faithfulness only 32.3%; empty tool results still hallucinate facts.
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