Articles

This year’s senior class is the first to have spent nearly its entire college career in the age of generative AI, a type of artificial intelligence that can create new content, like text and images. As the technology improves, it’s harder to distinguish from human work, and it’s shaking academia to its core. Special correspondent Fred de Sam Lazaro reports for our series, Rethinking College.

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Seedance 2.0 is ByteDance’s latest AI video generation model, and it’s a major step up from 1.5. Character consistency, motion quality, lighting, and temporal stability have all been significantly improved. Characters lock their appearance across entire sequences, motion follows realistic physics, and the flickering issues from 1.5 are gone.

The biggest addition is the multimodal input system. You can now feed up to 12 reference files into a single generation — images, videos, audio, and text — and use the tagging system to assign roles to each asset. Combine that with multi-shot storyboarding, and you can generate connected sequences rather than isolated clips.

Seedance 2.0 also generates audio and video simultaneously, so sound effects land in sync with the visuals. Beat matching lets you upload a music track and generate visuals that hit the beats. Lip sync works across 8+ languages including English, Mandarin, Spanish, French, German, Japanese, and Korean. You can generate voiceover with ElevenCreative text-to-speech, feed that in as your audio reference, add a music track for rhythm, and Seedance 2.0 syncs the visuals to match.

It’s not just generation either — you can take an existing video and regenerate specific parts while keeping the rest intact, whether that’s changing elements in a scene or swapping out a character entirely.

Patrick Bet-David and the panel break down how AI agents like Claude are changing the way people work by automating real tasks across your computer. From managing emails to building reports and executing workflows, the conversation highlights how AI is saving hours every week and giving users a massive productivity edge.

Build a complete AI film set from a single image, using OpenArt’s new World Studio feature.

In this video, I’m testing how World Studio fits into a real AI filmmaking workflow. I walk through turning one image into a navigable world, combining multiple images into connected spaces, and testing how well a consistent AI character can actually live inside that environment from multiple angles. If you’ve been struggling to keep your AI video workflow cohesive, same world, same characters, multiple shots, this is one of the most practical tools you can add to your AI toolkit.

Here’s the full AI Film masterclass breakdown — every tool, every technique, every mistake, and exactly what it cost.

This is a complete production walkthrough of “Dragon Blue,” my AI short film made with Seedance 2.0, Nano Banana Pro, Claude Cowork, and the Luma Agent board. I cover the entire pipeline from pre-production and reference image generation through video generation, post-production, and final delivery — including the multilingual prompting tricks, safety filter workarounds, and Omni model techniques that made this workflow possible.

Whether you’re exploring AI filmmaking for the first time or looking to level up your production pipeline, this video breaks down a real workflow you can replicate with the tools available right now.

Seedance 2.0 just went global — well, mostly. We break down exactly what the release means (and doesn’t mean), including API pricing, business account requirements, image rights contracts, and one platform where you can try it right now.

Plus: Tencent’s Wen 2.7 is about to drop with first/last frame generation, 9-grid image-to-video, voice referencing, and instruction-based editing. Could it take the #2 spot from Kling 3.0?

We also test Magnific’s new video upscaler and Topaz’s Astra model for AI video upscaling — side-by-side comparisons included.

And then things get weird: Pika just launched real-time video chat with AI agents through Pika Me. So naturally, I sat down for a live face-to-face interview with Flamethrower Girl. It’s janky. It’s fascinating. It’s the future.

Claude Cowork just added Projects, but most people are going to use them wrong — here’s how to actually set them up so you’re not wasting tokens or missing out on what they can do.

Seedance 2.0 has finally released — sort of. After months of delays, lawsuits, and rumors of cancellation, ByteDance has made the model available on CapCut and Dreamina… in seven countries. We break down what’s actually available, the new guardrails (including real face restrictions and C2PA watermarking), whether VPNs are worth the headache, and what this all means for a wider Western release.

Plus, Luma Labs dropped Uni One — a new thinking image model — and when you pair it with their boards and agents feature, the storyboarding and pre-production workflow gets genuinely powerful. We walk through a full pipeline from character reference to storyboard to video generation using Seedance 2.0 and Luma’s canvas tools.

Seedance 2.0 samples, prompting observations, the Omni model on CapCut, Luma Uni One, Luma Boards and Agents, thinking image models, AI video generation workflow, storyboard-to-video pipeline, region restrictions, C2PA content credentials, IP guardrails.

This video from SMB Capital explores how day traders can use the AI tool Claude to build “operational infrastructure” and gain a professional edge without needing to be a coder. The speaker emphasizes that the real advantage in modern trading isn’t just about the strategy itself, but the efficiency of a trader’s workflow.

The video outlines five specific practices to transition from a manual trader to a “Tier 3” trader who uses AI for institutional-level preparation and analysis:

1. Custom Price Alerts

Instead of relying on basic platform alerts (like simple price crosses), you can use Claude to write Pine Script (for TradingView) or ThinkScript (for Thinkorswim) code. This allows for “surgical precision” alerts based on complex criteria, such as a breakout of the 30-minute opening range combined with specific volume confirmation and VWAP positioning.

2. Pre-Market Game Plan Automation

You can create a reusable template in Claude to analyze your daily watchlist. By pasting in overnight news headlines and pre-market data, Claude can prioritize your stocks, identify key levels, and suggest potential setup types (e.g., VWAP bounce or momentum continuation). This reduces 60 minutes of manual research into a 5-minute automated process.

3. Custom Performance Analysis

The speaker demonstrates how to prompt Claude to write a Python script that analyzes your trade history (CSV files). This goes beyond basic P&L to find deep patterns, such as identifying which hours of the day or which specific setups are actually losing you money. This objective data helps remove “self-deception” and highlights blind spots that are hard to see manually.

4. Custom Order Entry and Exit Logic

Traders can use AI to build sophisticated exit strategies that aren’t standard on most platforms, such as a two-bar trailing stop that automatically moves up with market structure. This helps remove emotion from the selling process by making exits systematic and structural.

5. The AI Trade Autopsy

After the market closes, you can upload a screenshot of your trade and provide Claude with your entry/exit logic and emotional context. Claude acts as a “performance coach,” providing an objective report on whether you followed your rules, what mistakes were made, and what specific area you should focus on for improvement.

Key Principles for Using AI in Trading:

• Specificity is Everything: Vague prompts yield poor results. You must provide detailed technical requirements and context.
• Iterate and Refine: The first output is rarely perfect. You should expect to spend time “chatting” with the AI to tweak and test the code or analysis.
• Verify, Don’t Blindly Trust: Always test AI-generated code in a paper trading environment or “break it” to understand the logic before using real capital.
• Focus on Bottlenecks: The speaker suggests picking just one of these five practices—whichever solves your biggest current struggle—and focusing on it for two weeks to build a compounding advantage.