Author: GW Alger

Instead of asking AI to build one strategy… I gave Claude access to over 1,500 fully backtested and forward-tested TradingView strategies and told it to: • Analyze all the data • Think like a quant • Select the best strategies • Activate and deactivate bots automatically • Manage a live trading portfolio Then I let it trade. No guessing. No emotions. No manual decisions. The results after just a few days… were insane.

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.