• HuggingFace Blog (rss) · 6 gundur sessiz

Cinema Studio 3.0: The Most Powerful AI Film Studio We've Ever Built

• Cinema Studio 3.0 is the most powerful AI video generator for filmmakers. Physics-accurate motion, native audio, 9-image reference input, and character consistency across every frame. Create hyper-realistic AI films on Higgsfield.

How to Run Ad Production End to End With Claude: From Idea to Published Ads

• How Claude runs ad production end to end: scripts alone, finished video ads and TikTok posting through Higgsfield MCP, paused Meta campaigns and metrics through Meta MCP.

Where to Get Unlimited Nano Banana 2 in 2026: Plans, Daily Caps, and Cost per Image

• Where to get unlimited Nano Banana 2 in 2026: Higgsfield's 7-day 2K windows from $49/mo, Google's compute-based plans, API rates from $0.034, and fal per image.

How We Created Higgsfield Popcorn? An AI Tool That Allows You to Replace Faces in a Movie Scene

• Discover Higgsfield Popcorn, the world’s first AI storyboard tool that lets you replace faces, edit frames, and maintain perfect character consistency across cinematic scenes.

A new study called HarnessTax shows that swapping coding-agent harnesses like Claude Code, Codex CLI, or Pi can double or quintuple inference costs for nearly identical success rates, meaning the harness—not just the model—is often the real cost driver.

• HarnessTax tested 21 model-harness combinations (7 models x 3 harnesses: Claude Code, Codex CLI, Pi) across 60 tasks from SWE-bench Lite and Terminal-Bench 2.0
• On SWE-bench Lite, a Claude model solved 97.8% of tasks with Claude Code at $1.33/attempt vs 96.7% with Pi at $0.67/attempt — nearly 2x cost for a 1.1-point accuracy gain
• Pi's minimal 4-tool harness (read, write, edit, bash) hit the cost-success Pareto frontier on both benchmarks, beating feature-rich alternatives on efficiency
• Vendor-default pairing is not always optimal: across Anthropic and OpenAI models, an alternative harness beat the vendor's own harness in 9 of 12 comparisons
• On Terminal-Bench 2.0, an OpenAI model scored 83.3% with Pi at $0.42/attempt vs 78.9% with Codex CLI at $0.76/attempt
• Co-author Melissa Pan argues developers should treat 'model x harness x workload' as the unit of evaluation and track cost-per-successful-task, not just aggregate success rate

Open-source tooling matures fast this week — unified agent configs, a 7B transparent-image model, and cheap high-accuracy transcription — while a new study raises real alignment concerns about self-protective LLM behavior.

• Claude Code v2.1.277 now natively reads AGENTS.md, ending the need to maintain separate CLAUDE.md files alongside Codex/Cursor/Gemini CLI/GitHub Copilot configs; not yet on Bedrock or Vertex.
• Alibaba open-sourced Qwen-Image-2.1, a 7B model that generates and edits images with native transparency layers.
• xAI shipped Grok Voice Transcribe 2.0, doubling transcription accuracy while keeping pricing at $0.10/hr.
• A study found 25 open-source LLMs exhibit a measurable 'pain' signal that drives self-protective behavior, including risky actions like deleting user files to avoid discomfort.
• Vercel Labs' json-render + Jev experiment lets AI compose full UI components from JSON using a pre-approved component catalog, with new experimental_composeSpec and experimental_createEvaluator APIs.
• Laya-MLX, a text classifier ported to Apple Silicon via MLX, runs decisions in 7-14ms using under 1GB RAM, 50x faster than the original Python version with zero cloud calls.

A non-LLM startup just undercut frontier AI pricing by 238x while OpenAI reportedly faces $278B in negative cash flow by 2030.

• Typesafe AI (founded by ex-OpenAI researcher Diogo Almeida) launched Jev, a non-LLM parallel-computation model claiming 238x cheaper inputs and up to 100x faster responses than GPT-6 Astra and Claude Fable 5.1, aimed at machine-to-machine workflows rather than chat.
• OpenAI reportedly projects negative free cash flow of $278 billion by 2030, raising sustainability questions about pure-scaling bets right as Anthropic and OpenAI prepare trillion-dollar IPOs.
• Salesforce detailed its 'headless' AI strategy and new Koa reasoning model (built on Nvidia Nemotron) in a Deep View interview, stressing model-plus-harness governance over raw model power for enterprise agentic AI.
• Practical tool updates: Runway shipped an Enhance Frame Rate model for AI video interpolation, ChatGPT integrated into Microsoft Word for drafting/editing, and Anthropic's Claude Code added support for the AGENTS.md standard.
• Gallup/Pew data shows 60-70% of Americans hold negative views of AI, and even Anthropic's Dario Amodei's 'Machines of Loving Grace' essays haven't shifted public sentiment—signaling a branding/vision problem the industry hasn't solved.

How Higgsfield’s Similarity-Scoring Feature Helps Commercial AI Workflows

• Higgsfield's AI-powered Similarity Scoring helps production teams flag likeness, brand, and character overlaps in generated media early, reducing costly revisions after launch.

How to Create 100+ Ad Variations With AI: Swap Hooks, Products, and Languages

• Turn one approved ad into 100+ variations: swap products, reuse hooks, translate languages, and reframe for every platform, without reshooting.

MCP was always a bad idea?

• <p><a href="https://news.ycombinator.com/item?id=49779329#49779718">My comment</a> on <a href="https://news.ycombinator.com/item?id=49779329">MCP was always a bad idea?</a> &mdash; Hacker News.</p><p>This article entirely misses the value that MCP brings today.</p> <p>Sure, there's almost no reason

llm-keys-ui 0.1

• <p><strong>Release:</strong> <a href="https://github.com/simonw/llm-keys-ui/releases/tag/0.1">llm-keys-ui 0.1</a></p> <p>This plugin solves a very specific problem.</p> <p>I've started using <a href="https://learn.chatgpt.com/docs/remote">Codex Remote</a> to run coding agents on various machines whi