GENERATIVE AI - AI Dynamics

Last night, Senior Director of Applications, @yining_shi led a Runway Characters Hackathon where attendees learned to build intelligent real-time video agents directly into their apps, products, games and services. All in a matter of hours.

To start building for yourself, visit… pic.twitter.com/ZryE2LGQEe
— Runway (@runwayml) 3 avril 2026

Last night, Senior Director of Applications, @yining_shi led a Runway Characters Hackathon where attendees learned to build intelligent real-time video agents directly into their apps, products, games and services. All in a matter of hours. To start building for yourself, visit the Runway Developer portal at the link below for walkthroughs, video tutorials and pre-built applications.

→ View original post on X — @runwayml, 2026-04-03 17:10 UTC

3 April 2026

Gemma 4 Introduces Multi-Modal Capabilities with Image Support

By

@fchollet

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03 April 2026 19h09

Gemma 4 also features multi-modal capabilities: use it with prompt + images combinations

→ View original post on X — @fchollet

3 April 2026

Gemma 4 Released on KerasHub for Reasoning and Agentic Workflows

By

@fchollet

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03 April 2026 19h07

First update of the call, from Sachin: Gemma 4 is out now on KerasHub! Best open-source model so far for reasoning and agentic workflows.

→ View original post on X — @fchollet

3 April 2026

Profiling Diffusion Pipelines with Claude for torch.compile Optimization

By

@huggingface

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03 April 2026 19h07

We're shipping an elaborate guide on how to profile diffusion pipelines in Diffusers to set them up for success with `torch.compile` 🔥 We devised a workflow with Claude & it turned out to be quite effective. It served its purpose well. With the help of the trace alone, we uncovered: 1. CPU <-> GPU syncs 2. CPU overheads 3. Kernel launch delays When we provided the profile trace and our observations from the trace to Claude, and helped us get rid of the issues, it did well. However, it did so iteratively. The process was intellectually fun and engaging!

→ View original post on X — @huggingface, 2026-04-03 17:07 UTC

3 April 2026

Marc Andreessen’s 2026 AI Thesis: Agents and Open Source

By

@swyx

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03 April 2026 19h04

🆕 Marc Andreessen’s 2026 AI Thesis: Agents, Open Source, and Why This Time Is Differenthttps://t.co/wmu0s7vyLn @pmarca of @a16z says AI people keep swinging between utopian and apocalyptic for one simple reason: this field has been “almost here” for 80 years. But now, the… pic.twitter.com/kYnLP5jZh1
— Latent.Space (@latentspacepod) 3 avril 2026

🆕 Marc Andreessen’s 2026 AI Thesis: Agents, Open Source, and Why This Time Is Different latent.space/p/pmarca @pmarca of @a16z says AI people keep swinging between utopian and apocalyptic for one simple reason: this field has been “almost here” for 80 years. But now, the breakthroughs are no longer theoretical. Reasoning, coding, agents, and self-improvement are all starting to work at once. This episode goes deep on AI winters, OpenAI + OpenClaw, infrastructure overbuild risk, proof-of-human, why software may soon be written mostly for bots, and why the real bottleneck may be society adopting AI rather than the models improving.

→ View original post on X — @swyx, 2026-04-03 17:04 UTC

3 April 2026