It’s not that hard to build a fully functioning, code-editing agent.
It seems like it would be. When you look at an agent editing files, running commands, wriggling itself out of errors, retrying different strategies – it seems like there has to be a secret behind it.
There isn’t. It’s an LLM, a loop, and enough tokens. It’s what we’ve been saying on the podcast from the start. The rest, the stuff that makes Amp so addictive and impressive? Elbow grease.
But building a small and yet highly impressive agent doesn’t even require that. You can do it in less than 400 lines of code, most of which is boilerplate.
I’m going to show you how, right now. We’re going to write some code together and go from zero lines of code to “oh wow, this is… a game changer.” — Read More
Daily Archives: April 16, 2025
NVIDIA to Manufacture American-Made AI Supercomputers in US for First Time
NVIDIA is working with its manufacturing partners to design and build factories that, for the first time, will produce NVIDIA AI supercomputers entirely in the U.S.
Together with leading manufacturing partners, the company has commissioned more than a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas. — Read More
DolphinGemma: How Google AI is helping decode dolphin communication
For decades, understanding the clicks, whistles and burst pulses of dolphins has been a scientific frontier. What if we could not only listen to dolphins, but also understand the patterns of their complex communication well enough to generate realistic responses?
Today, on National Dolphin Day, Google, in collaboration with researchers at Georgia Tech and the field research of the Wild Dolphin Project (WDP), is announcing progress on DolphinGemma: a foundational AI model trained to learn the structure of dolphin vocalizations and generate novel dolphin-like sound sequences. This approach in the quest for interspecies communication pushes the boundaries of AI and our potential connection with the marine world. — Read More
OpenAI debuts its GPT-4.1 flagship AI model
OpenAI has introduced GPT-4.1, a successor to the GPT-4o multimodal AI model launched by the company last year. During a livestream on Monday, OpenAI said GPT-4.1 has an even larger context window and is better than GPT-4o in “just about every dimension,” with big improvements to coding and instruction following.
GPT-4.1 is now available to developers, along with two smaller model versions. That includes GPT-4.1 Mini, which, like its predecessor, is more affordable for developers to tinker with, and GPT-4.1 Nano, an even more lightweight model that OpenAI says is its “smallest, fastest, and cheapest” one yet. — Read More
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