How to Keep Characters and Art Style Consistent Across an AI Animated Series

• Keep characters and art style consistent across an AI animated series with reference sheets, Soul ID, Soul 2.0 Moodboard, Popcorn, and Cinema Studio 4.0.

A single Claude Code skill now turns one photo into a navigable, sound-equipped 3D world in under 5 minutes, ready for Unity, Unreal, or Blender.

• image-blaster (open-source): one photo in, full 3D world out — Claude Code orchestrates object segmentation, Hunyuan 3D mesh generation, and ElevenLabs audio, exporting .glb/.obj with physics colliders for Unity/Unreal/Godot/Blender/Three.js in under 5 min.
• AgentCraft: open-source MIT tool lets Claude coding agents work inside a Minecraft world — parallel worker agents code isolated repo copies, walk over to ask permission for risky commands, nothing pushed without in-game diff review.
• Aleph Alpha released Kolibri-1, a 78B MoE model (only 3.46B active params/token) under Apache 2.0, with 1M token context, agentic tool-calling, and strong German/English support — runs on 2x A100 80GB.
• Redis Agent Memory hit 86.5% accuracy on LongMemEval at ~$0.07/session, combining raw conversation evidence with extracted facts for persistent agent memory.
• Wavestone audit of 11 coding agents found a consistent 7-part architectural blueprint across the industry.

Hugo Blendl: How a Rick and Morty Animator Makes a Daily Show on Higgsfield

• Hugo Blendl, Rick and Morty animator and Supervisor on Seasons 5 and 6, makes his animated series Zero to Hero alone on Higgsfield: 3 minutes of animation a day.

11 Best AI Ad Generators in 2026: URL-to-Video, UGC Avatars and Ad Clone Tools Compared

• 11 AI ad generators compared for 2026: URL-to-video, UGC avatars, and reference ad cloning, with cost per clip for Higgsfield, Creatify, Topview, and more.

7 AI Video Team Plans Compared: Pricing, Seats, and Shared Credits

• Compare AI video team plans from Higgsfield, Adobe Firefly, Runway, HeyGen, Canva, Descript, and Kling: pricing, seats, shared credits, and collaboration.

Quoting Felix Rieseberg

• <blockquote cite="https://twitter.com/felixrieseberg/status/2107206431376334975"><p>The "old" version of Cowork runs model inference in the cloud, executing tool calls in an Anthropic-provided VM we shipped to your computer. We added the VM for capability, safety, and security reasons - mapping in j

MCP for agent-to-agent comms may be the riskiest protocol you've never heard of

Microsoft ships domain-specific voice/transcription models that beat rivals on accuracy and latency, while Suno pushes into combined voice+music generation.

• Microsoft launched MAI-Transcribe-2-Streaming: tops the Artificial Analysis Word-Error-Rate leaderboard, beating Grok, Meta, and OpenAI, with text returned in as little as 100ms across 60 languages.
• Microsoft also released MAI-Voice-2.1 (strongest multilingual TTS, 23 languages/26 locales) and MAI-Voice-2.1-Flash (optimized for high-volume, latency-sensitive use)
• Suno launched 'Speech' in beta: generates voice and background music in one cohesive track from text + style description, though accents and dramatic pauses still misfire
• Microsoft's strategy is now explicitly domain-specific models (MAI-Thinking-1, MAI-Code-1.1-Flash, MAI-Image-2.6, plus voice/transcription) rather than one general frontier model, targeting enterprise workflows where focused performance beats breadth
• OneTrust's Blake Brannon argues for 'guardian agents' that police other AI agents in real time, since human review can't keep pace and agents inherit access without inheriting trust
• Amazon committed $1B over 5 years ('Built Together') to win community support for data centers amid 7-in-10 American opposition, though this may not address deeper public anxiety about AI itself

Researchers are turning every layer of the agent stack—skills, harness, model, environment, and orchestration—into something that can optimize itself from execution traces instead of manual tuning.

• Microsoft's SkillOpt automatically edits skill text files based on scored trajectories, only accepting changes that improve a held-out validation set.
• Google Research's WikiSkill builds a structured 'wiki' of agent successes/failures to prevent repeating rejected fixes when optimizing skills.
• Self-Harness mines execution traces to rewrite harness code (tool use, context, control flow) and showed relative gains up to 132% on Terminal-Bench-2.0, SWE-bench Verified, and AppWorld.
• Sakana-style Darwin Gödel Machine lets a coding agent modify its own implementation and keep an archive of variants, while Meta's Hyperagents extends self-modifying harnesses beyond pure coding tasks.
• Xiaomi's HarnessX enables model-harness co-evolution (open-weight models only): harness-discovered strategies become fine-tuning data, which then improves harness optimization in a loop.
• EnvHarness evolves the training environment itself (not just the agent), yielding up to 9-point gains with 9.8% fewer interaction steps; EverMind AI's Raven applies self-evolution to multi-agent orchestration.

Runway is pivoting from Hollywood-only video gen to agentic ads and robotics, betting that video-model scaling laws generalize across domains the way LLM scaling did.

• Runway launched 'Runway Ads,' an end-to-end agent that creates, edits, publishes and tracks performance of paid ad campaigns — not just generates clips.
• Runway released Praxis-1, an open-weight 'world action model' that adapts to new robot embodiments with light fine-tuning, extending video-gen tech into physical/robotic AI.
• CEO Cristóbal Valenzuela says Hollywood studios have moved from 'denial' to full 'acceptance' of AI video over the past ~18 months — the debate is now about scaling adoption, not legitimacy.
• Runway's thesis: video models do 'next-frame prediction' analogous to LLM next-token prediction, so the same scaling laws apply — explicitly betting against the 'LLMs have plateaued' narrative some labs push.
• Runway sees 12-18 months to production-ready physical AI deployments; data isn't the bottleneck, but cleaning/annotation pipelines are the real constraint.
• Valenzuela claims China is 'world-model-pilled' (70% of token consumption is video, heavy robotics investment) while the US remains 'LLM-pilled' — a structural gap he thinks Western labs need to close.

Qwen3.8 27B addition in words

• <p><strong>Research:</strong> <a href="https://github.com/simonw/research/tree/main/qwen38-addition-in-words#readme">Qwen3.8 27B addition in words</a></p> <p>Colin Frasier <a href="https://bsky.app/profile/colin-fraser.net/post/3mwopbyznhs2k">posted on Bluesky</a> about an experiment he ran over two