Mario ⌘

Accelerating entelechy and fighting stagnation. Design and Product Leadership @tiny_fish, “agentic engineer”

[Mario ⌘ @mariodelgado]

@liamjmcgregor @Skymography

[Mario ⌘ @mariodelgado]

@alexocheema July 2, 10:45a - @aiDotEngineer

[Mario ⌘ @mariodelgado]

@brian_lovin @frank_ @NotionHQ @AnthropicAI Aw just saw this! Next time!

[Mario ⌘ @mariodelgado]

Leonardo da Vinci didn't call himself an artist, an engineer, or a scientist. He called himself "discepolo della sperienza" (disciple of experience). Build, learn, repeat.

[Ryo Lu @ryolu_]

the crazy thing about Cursor mobile
is @rikcreation coded most of the real thing with Cursor, as a “designer”

titles don’t mean shit.
you can just build.

[OpenRouter @OpenRouter]

Introducing the Fusion API, the smartest compound model in the market.

Fusion achieves Fable-level intelligence at half the price.

How it works 👇

[christine røde @chrstnerode]

it's been amazing to see the response to this 🖤 i'm reminded of one of my favorite quotes. in this age of AI, i think this is more relevant than ever.

having spent much of my career working in bigtech, it's a special opportunity to create something different — usually, we are optimizing for making things that 2 billion people find inoffensive, not creating beauty.

polished, perfect output is no longer interesting. humans, with all their flaws and quirks, are.

[Mario ⌘ @mariodelgado]

@matthewmang @lukehaddock amazing 🤩

[Latent.Space @latentspacepod]

🆕Grok Imagine’s Video Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video!

https://t.co/vYADYniTj2

@EthanHe_42, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok Imagine went from zero to one, why text-to-video is only the autocomplete phase, how world models become real-time and interactive, why language models may become the control layer for video, and why the future of AI video may look less like a prompt box and more like an agent with a camera, editor, timeline, and tool belt.

[Mario ⌘ @mariodelgado]

@testingcatalog @testingcatalog how was the web search quality?

[Mario ⌘ @mariodelgado]

@testingcatalog @sesame 🤝 @Tiny_Fish collab?

[Goodfire @GoodfireAI]

The most popular way to interpret AI is missing the bigger picture.

Models think in curved shapes. But sparse autoencoders (SAEs) work with straight lines.

Can they still capture models’ curved neural geometry? Yes, but not how you might think! (1/7)

[Mario ⌘ @mariodelgado]

@Prince_Canuma @andimarafioti @ClementDelangue MLX 🤝 Reachy - @andimarafioti any chance you can fast track a device for me? i want to show you guys something 👀

[sankalp @dejavucoder]

claude was a shape rotator all along

[Maxime @MaximeHeckel]

New post 📝

A deep dive into a topic I wanted to explore for a long time: how to render a realistic sky and atmosphere

I explore everything from simulating the interaction of light with air, to handling sunsets, all in real-time, from ground to space

https://t.co/lov84x0Ods

[Thinking Machines @thinkymachines]

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.

We share our approach, early results, and a quick look at our model in action.

https://t.co/AFJZ5kH7Ku

[TinyFish @Tiny_Fish]

Someone said our free Search and Fetch API is a marketing gimmick coz of the rate limits.

We took it personally.

So we 5x'd our rate limits.

Your agent doesn't sleep and neither do we.

Grab your API Key now: https://t.co/XrLr5hHAdG

Sound on 🔊

[Goodfire @GoodfireAI]

Neural networks might speak English, but they think in shapes.

Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.

Starting today, we’re releasing a series of posts on this research agenda. 🧵

[Mario ⌘ @mariodelgado]

@rsms https://t.co/D9TCTzbDVl ?

[Rasmus Andersson @rsms]

This is a glimpse of big changes ahead of us. If you’re betting on big central models you should think twice.

I run the exact same setup (M5 MacBook, qwen3.6-27B, pi, ollama) and while its not as fast or good as one of the big central models, it’s past the line of “cool demo” into “truly useful.” Kind of where the big frontier models were in late 2025.

In ~24 months we might have local models that are fast and good enough for most tasks.