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This week, every major AI company decided to ship agents at the same time. Microsoft launched Copilot Cowork (built on Anthropic's Claude). Google dropped Gemini CLI and long-overdue Workspace updates. An open-source project called Paperclip lets you organize AI agents into a literal company—with org charts and budgets. And Claude Code and Codex have been in an arms race of feature releases for days.

It's a lot. So we're breaking all of it down, plus answering whatever questions y’all have!

Agents, Everywhere, All at Once |Thursday, March 12 | 10am PT | 12pm CT | 1pm ET

Join Grant and Corey for a live walkthrough of the biggest agent launches this week, with demos, hot takes, and your questions answered in real time.

We'll also cover:

• The OpenClaw hype sweeping China and spreading GitHub stars faster than Shein ships shirts.

• Microsoft Copilot Cowork vs. Claude Cowork—what they actually do.

• Gemini CLI, Google Workspace updates, and Google's agent play.

• Paperclip: the open-source tool that turns AI agents into a company (yes, with an org chart).

• Corey’s experience with Autoresearch, Andrej Karpathy’s new AI researcher.

• Claude Code vs. Codex: our current takes.

• What all of this means for how you'll actually use AI at work

Whether you're an agent power user or you've been watching from the sidelines wondering what the fuss is about—this one's for you. Bring your questions.

Join us live: YouTube | LinkedIn | X

Now, keep scrolling for our latest podcast episode: a new interview with LTX CTO and co-founder Yaron Inger talking about their open-source video model LTX 2.3 and the new LTX Desktop app, giving anyone the power of Hollywood directly on their laptop.

Real quick: Want to see your AI-adjacent product or service show up right here, below these podcast promos? Click the button below to advertise to our 650K readers!

THIS WEEK'S INTERVIEW: AI + Laptop = Your Own Personal Hollywood?

A marketing guy at an AI company said "I want to build my own video editor." So he did. In a day. And it looks like Premiere Pro.

That's the world we're living in now—and it's because of LTX-2, the #1 ranked open-source video model, built by the team at Lightricks (the company behind Facetune). It's been downloaded 4.5 million times in two months, it runs locally on consumer hardware, and it generates video that isn't just a flat image—it understands layers, audio, lip sync, and even how to replace parts of existing footage.

In our latest podcast episode, we sat down with Yaron Inger, Lightricks' CTO and co-founder, to understand what makes this different from every other AI video tool—and where it's headed next.

Here's what blew our minds:

• (9:07) Why LTX-2 is the fastest and most downloaded open-source video model—and why they had to build it themselves after Stability AI pulled the plug.

• (15:38) LTX Desktop: a full nonlinear video editor that was vibe-coded, polished by 2.5 people in about 10 days, and runs entirely on your local GPU.

• (22:18) It's way more than text-to-video. Audio-to-video, key frame interpolation, retakes that replace parts of existing footage—same model, wildly different use cases.

• (25:33) How animation studios are fine-tuning the model on 10 minutes of footage to replace an entire rendering pipeline—trained in a day on a single GPU.

• (35:30) Yaron's take on why AI won't replace creatives: "These models are not creative." Taste is about to become the most valuable skill in content.

• (43:45) What hardware you actually need to run it (spoiler: people have gotten it working on a 3070 with 8GB of VRAM).

• (49:54) Why AI models are getting smaller and better at the same time—and the distillation trick that makes it possible.

• (56:49) The future: infinitely long real-time video generation. Think AI teachers who walk you through a World War I battlefield while explaining the history. Yaron thinks his kids will learn this way.

Why watch this? Because if you've been curious about AI video but assumed it required expensive APIs or big-studio budgets, Yaron's explanation at (15:38) will change your mind. This runs on your machine (with 8GB VRAM and up; otherwise it uses the LTX API), it's free, and it's shockingly good.

Watch and/or Listen now: YouTube | Spotify | Apple Podcasts

P.S. Yaron's point about AI democratizing filmmaking hit close to home. Grant just wrote an article arguing that GenAI could let Hollywood film movies like concerts—live, in front of ticketed audiences, with AI filling in the gaps in post.

Tools like LTX-2 are exactly what makes that possible. Give it a read if you're into where this is all headed. Oh, and if you’re curious about what Grant was talking about re: adding a script editor to the LTX Desktop tool… stay tuned. More on that to be shared soon!

Dive deeper with these resources:

• LTX.io — Try the model and API

• Download LTX-2.3 on Hugging Face

• LTX Desktop — Open-source local video editor (GitHub)

• ComfyUI — Graph-based editor for running LTX-2

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Stay curious,

The Neuron Team

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