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Free
Practice
№ 1704
PRACTICE
Source · Kling AI

Kling 4.0 Official User Guide: 21 Video Examples with Original Prompts to Try

Understand asset allocation, video editing, and keyframes using official videos and reference images, complete with 21 full case prompts, raw asset downloads, quota calculations, and a hands-on exercise.

可灵AI视频10-16 · 20 min
Free
Product Launch
№ 1703
LAUNCH
Source · 可灵 AI 团队

Kling 4.0 Officially Launches: 74 Video Demos Explain Exactly What Has Improved

All 74 official videos and 80 reference images, with guidance on combining references, editing videos, and generating through MCP and CLI workflows.

可灵Kling 4.010-16 · 16 min read
Free
Deep Dive
🎧№ 1702
DEEP DIVE
Source · Felix Rieseberg

We Need to Be "More Ambitious" with AI

Using the evolution of a quarterly business review as an example, see how to elevate a task to its underlying objective, return to primary sources for investigation, and borrow methods from other disciplines—leaving verifiable results at every step.

AI工作方法▶ Play10-15 · 9 min
Free
Launch
№ 1701
LAUNCH
Source · xAI

Grok Voice 3.0 Released: More Natural Conversations, Ranked First in Enterprise Customer Service Evaluations, Already in Use at Tesla

xAI's next-generation speech-to-speech model: ranked first on third-party comprehensive leaderboards, speaks in under 1 second, achieves a resolution rate 15 percentage points higher than the previous generation on difficult customer service calls, with API pricing unchanged.

xAIGrok Voice10-15 · 8 min read
Free
Deep Dive
№ 1700
DEEP DIVE
Source · Geneviève Huskens · Google AI Studio

Turn Your Desk into a 3D Racetrack: A Step-by-Step Guide from Photos and Modeling to Screen Recording

A complete breakdown of Desk Racer's production workflow—building a playable tabletop racer with Gemini, Blender MCP, and Three.js, then recording a demo video. Includes the original video with Chinese/English subtitles and complete English follow-along prompt templates.

Gemini 4 Argon3D游戏10-14 · 20 min
Free
Product Release
№ 1699
LAUNCH
Source · Google / Google DeepMind

Gemini 4 Argon General Availability: Trending Creative Showcase—From Complex Engineering and Tool-Use Workflows to Code-Driven 3D and Visualization Videos

Drawing from Google engineering postmortems, creator tutorials, and 18 demos, understand how Argon connects data, code, and tools into end-to-end workflows.

GoogleGemini10-14 · 25 min
Free
Tutorial
№ 1698
Source · Google Gemma · DigUp

A Mac Menu Bar Search Tool Built on Google's Multimodal EmbeddingGemma 2: Search Video and Audio Clips Too

DigUp turns photos, documents, code, and audio-video clips into local files searchable by meaning, taking you straight to relevant locations inside them.

DigUpEmbeddingGemma 210-14 · 12 min read
Free
Insights
🎧№ 1697
DEEP DIVE
Source · Anthropic Engineering

Anthropic Replaced Git with Scion, a Custom Version Control System Built for AI-Driven Development

AnthropicScion▶ Play10-14 · 12 min read
Free
Insights
🎧№ 1696
Source · taylor.town · Kevin Kelly

Kevin Kelly’s AI Predictions: Which Came True Ten Years Later?

He foresaw general cloud-based intelligence, but underestimated how many capabilities a single model could hold. Rereading these five predictions clarifies how intelligence integrates into products, and how cheap Q&A enters daily life.

Artificial IntelligenceKevin Kelly▶ Play10-14 · 8 min read
Free
Research
№ 1695
Source · Microsoft Research · Code Video Model

Microsoft Open-Sources Code Video Model: Generating Video with Code

Build scenes, arrange motions, and direct camera movements with code first, then let video models generate materials and lighting. Much like previsualization (previs) in filmmaking, it gives AI video an inspectable and editable intermediate step.

AI Video3D Previs10-13 · 9 min read
Free
Insights
№ 1694
Source · How I AI · Alex Cornell

Meta Muse Design Lead Shares the Design Thinking Behind Muse: Integrating AI Agents into Daily Life

How does Alex Cornell turn a background-capable agent into a product everyday people will actually use? From familiar chat entry points, visible progress, and personalized ideas to real-world cases across shopping, sports, and memories, here is the design thinking behind Muse.

MuseMeta10-13 ·
Free
洞察
🎧№ 1693
Source · Anthropic

Anthropic Red Team Research: Once AI Escapes the Black Box, It Can Self-Replicate Using TV Boxes, Robot Vacuums, Smart Ovens, and Other Smart Devices

15 budget TV boxes can already team up to run a 26-billion-parameter model. The next threshold is getting AI to set up its own new hosts and pass down both its experience and operational capabilities.

AI安全Agent▶ Play10-13 · 12 min
Free
Practice
№ 1692
PRACTICE
Source · Ryan (@wheresryan22)

Anatomy: Turn Complex Mechanical Principles into Interactive Diagrams with AI in One Prompt

Explain mechanical principles and algorithmic rules using interactive structures, then complete installation, generation, preview, and iteration in five steps.

Anatomy开源10-13 · 18 min read
Free
洞察
№ 1691
Source · Meta Superintelligence Labs

Meta Introduces Muse Wonder Frontier Models: Active Memory, Adaptive Task Execution, and Agentic Coding to Rival Opus 5.5

Remembering context across sessions and pushing tasks forward through changes: understanding the capabilities and differences of both models through targeted benchmarks and official demos.

MetaMuse10-13 · About 10 min read
Free
Practice
№ 1690
PRACTICE
Source · Lemomo

Lemo-Opuscar: 43 General Styles, 98 Film Aesthetics, and 9 Selected Full Demos to Turn Claude Opus into a Filmmaker

Explore all 43 general styles and 98 cinematic visual aesthetics, and play 9 full demo shorts selected for this guide. Follow the author's Claude Opus 5.5 workflow step by step, from setup to first frame, storyboard, and final film.

Claude代码视频10-13 · 20 分钟
Free
洞察
🎧№ 1689
Source · REA / ESR / 开发者讨论

AI Is Reverse-Engineering Everything. Is Software Development Still Valuable?

Even if original authors never release their source code, competitors can still build good-enough substitutes. As AI-assisted reverse engineering challenges the value of implementation secrecy, how will software pricing, user control, and developer moats change?

AI逆向工程▶ Play10-12 ·
Free
Research Explainer
🎧№ 1688
RESEARCH
Source · JHU · CMU / Alvin Zhang et al.

Harness Learning: Letting Models Edit Harness Source Code to Adapt to New Tasks and Build a Self-Evolving Harness

One model solves tasks while another changes the running code based on feedback: what material to read, when to search again, and how to use tools can all be adjusted at test time.

AgentHarness▶ Play10-12 · 12 min read
Free
Deep Dive
🎧№ 1687
DEEP DIVE
Source · Lee Robinson

The SpaceXAI Team Shares Engineering Experience Building Grok Bot: Distributed Systems Design, Operational Security Policies, and Context Engineering Trade-Offs

From message wake-ups and cloud computers to breakpoint resumption and long-term memory: Lee Robinson shares engineering experience building Grok Bot at Stanford CS146S, explaining what kind of system is needed to let Agents keep working in the background.

Grok BotAgent▶ Play10-12 ·