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Matt Garman discusses Amazon Web Services’ strategic shift toward custom silicon like Tranium and Graviton chips to handle AI workloads. The conversation explores how these internal hardware advancements and AI tools are transforming software development productivity and shaping the future of cloud computing infrastructure.

Google just announced Gemini Omni at I/O 2026, and it’s the company’s biggest move in AI video yet. Gemini Omni is a new family of models from Google DeepMind built on one simple idea: a single model that can create anything from any input, starting with video. The first version, Gemini Omni Flash, is available now and has already replaced Veo as the default video model inside the Gemini app. If you’ve used Nano Banana for images, Google is essentially calling this Nano Banana for video.

The headline feature is multimodal input. You can feed Omni any combination of text, images, audio and video and it pulls them into a single finished video generation, with support for up to five reference photos so characters, objects and locations stay consistent. The feature getting the most attention is editing: with Omni you edit video through conversation, giving instructions one after another, with each change building on the last so your characters and scenes stay consistent. You can even take real footage you filmed yourself and ask Omni to change what’s happening inside it.

All of it is grounded in Gemini’s improved world knowledge, with a better understanding of physics like gravity, momentum and fluid dynamics, so scenes hold together more realistically. Omni also generates audio natively and introduces AI avatars, reusable digital versions of yourself that can appear in your videos. Gemini Omni Flash is rolling out now for Google AI Plus plans and higher across the Gemini app, Google Flow and YouTube Shorts, with free access coming to YouTube Shorts and YouTube Create later this week. Clips currently cap at 10 seconds, every generation carries a SynthID watermark, a developer API is coming within weeks, and Google has already teased a more powerful model called Omni Pro.

Create AI Video with ElevenLabs

I connected Claude Cowork directly to WordPress in about 5 minutes. No plugin. No MCP. No middleware. No Zapier. Just a built-in WordPress feature most folks completely ignore: Application Passwords.

AI-generated videos depicting L.A. mayoral candidate Spencer Pratt as a superhero and his rival Karen Bass as a villain are gaining traction online

18 months ago, Google looked like it had missed the AI revolution. Now, Alphabet’s stock is up 140% over the past year and Wall Street is betting it’s one of the few companies positioned to profit from every layer of the generative AI boom. From Gemini to Google Cloud to its custom TPU chips, the company controls more of the AI stack than almost any of its rivals. This week’s Google I/O is the next big test — investors want to see whether that confidence is backed by a real product roadmap. CNBC’s MacKenzie Sigalos explains how Alphabet became the AI race’s unlikely frontrunner.

What drives the tech titans behind the AI arms race? For some, it’s the thrill of scientific discovery; for others, it’s the pursuit of profit. Through the story of DeepMind co-founder Demis Hassabis and other AI leaders, author Sebastian Mallaby explores how motivations ranging from scientific curiosity to commercial ambition and political power are shaping the future of the technology. We sat down with Mallaby to discuss the fraught and simultaneously symbiotic tension between science and capital at the heart of the AI revolution, and whether governments are prepared for systems becoming dramatically more powerful.

Using AI can lead to heart problems.

AI trust is collapsing. OpenAI, NVIDIA, generative AI, and Big Tech are spending hundreds of billions while public trust in artificial intelligence keeps falling.
AI was supposed to become the next great leap forward. Instead, people are watching advanced models pass elite exams, then fail simple tasks like reading a clock, counting letters, or separating fact from hallucination.

Behind the hype is a growing problem. AI can look brilliant in one moment and completely unreliable in the next. That “Jagged Frontier” is shaking public confidence, even as Silicon Valley keeps pouring money into data centers, chips, power grids, and infrastructure.

From AI hallucinations and Apple’s research, to the Stanford AI Index, environmental costs, public backlash, and fears of an AI bubble, this is why trust in AI is collapsing.

Why does Silicon Valley believe so strongly in a technology the public still doesn’t trust?

I’m back from Google I/O, and while everyone saw the big keynote announcements, some of the most interesting AI tools were buried in the margins.

In this one, I dig into what Google is actually building around Omni, Flow, Genie, video editing, world models, audio tools, and the creator workflows that did not get the clean keynote headline. I also got to talk with Josh Woodward and Logan Kilpatrick about what Omni is, where video fits into it, and why this might be less “one new video model” and more “a new layer for editing, remixing, compositing, and building with AI media.”

The short version: Google’s AI video plan is getting weird. Maybe underpowered in spots, definitely sprawling, but also way more interesting than just waiting for the next model name.

Plus — for the first time ever — a loose, on-the-ground podcast with some of my favorite creators recorded straight from the I/O floor.