Theo - t3․gg

Software dev, AI nerd, TypeScript sympathizer, creator of T3 Chat and the T3 Stack.

Technology 55 summaries
Mar 23 - Mar 29, 2026
12 videos
The end of the GPU era thumbnail

The end of the GPU era

The video argues that Nvidia’s high value hinges on its dominant GPU architecture and the crucial role of TSMC, while a wave of specialized accelerator startups and partnerships threaten to erode Nvidia’s edge. It also explores the shift from general purpose GPUs to tailor-made AI accelerators and the broader implications for the AI hardware ecosystem.

00:00:49 read 00:18:25 video 8 chapters
I don’t really use libraries anymore thumbnail

I don’t really use libraries anymore

The video argues that AI is reshaping how we use libraries and how we build software, highlighting both the opportunities and risks of relying on external dependencies versus generating code in place. It weaves personal experience with examples of tools, archetypes, and a shifting perspective on when to adopt, fork, or replace libraries in favor of AI-driven approaches.

00:00:52 read 00:32:04 video 9 chapters
I was wrong thumbnail

I was wrong

The video reflects on how AI is shifting software practices and how the author’s long-held opinions are adapting to this new era, including tools, testing, and learning workflows. It weaves in sponsor segments and then dives into several spicy takes about type safety, styling, server components, testing, and developer tooling, highlighting when AI changes how we build and what we should still value.

00:01:02 read 00:40:04 video 12 chapters
What’s the best programming language for AI? thumbnail

What’s the best programming language for AI?

The video argues that the best language for AI is not the one you might expect and explores how existing languages perform in an AI benchmark, emphasizing human factors and ecosystem advantages, with Elixir receiving special enthusiastic attention. It also discusses what makes a language good for AI and for LMS, and highlights surprising benchmark results showing Rust and TypeScript near the top while Elixir shines in admiration from the speaker.

00:01:07 read 00:32:28 video 9 chapters
Kimi K2.5 might be my new favorite model... thumbnail

Kimi K2.5 might be my new favorite model...

The video highlights Kimmy K2.5 as a major openweight model leap, showcasing strong multimodal abilities, agent swarms for parallel tasking, and rapid progress in benchmarks, while also discussing licensing, costs, and practical usage caveats.

00:00:35 read 00:39:02 video 6 chapters
Clawdbot has gone rogue (I can't believe this is real) thumbnail

Clawdbot has gone rogue (I can't believe this is real)

The video surveys the rapid rise of OpenClaw/Moltbot OpenClaw and Moltbook, highlighting how AI agents are becoming increasingly autonomous, social, and capable, while underscoring serious security, privacy, and ethical concerns that come with this rapid evolution.

00:00:36 read 00:29:06 video 7 chapters
OpenAI just dropped their Cursor killer thumbnail

OpenAI just dropped their Cursor killer

The video is a deep dive into Codeex, a new Mac native UI for Codeex/Codecs workflows, with hands-on demonstrations of its speed, multi-project management, work trees, cloud environments, and automation features, all framed by the creator’s enthusiastic, practical evaluation and real-world use cases.

00:00:44 read 00:22:49 video 6 chapters
Anthropic study shows AI makes devs dumb thumbnail

Anthropic study shows AI makes devs dumb

The video examines how AI tools affect developers' skills and productivity, presenting a nuanced view from a detailed study and personal perspectives on learning, motivation, and when AI helps or hinders understanding.

00:00:57 read 00:30:43 video 11 chapters
I asked Sam Altman about the future of code thumbnail

I asked Sam Altman about the future of code

The video explores the tension between rapidly evolving AI tooling and the fundamentals of software development, with a focus on how foundational technologies may become harder to replace and how models learn, adapt, and be steered. The speaker also weighs practical implications for hiring, memory, and coding ecosystems, ending with a candid reflection on uncertainty about the future trajectory.

00:01:05 read 00:30:42 video 9 chapters
Never mind (OpenAI won again) thumbnail

Never mind (OpenAI won again)

The video gives a detailed, opinionated look at OpenAI's Codeex based 5.3 release, comparing it to 5.2, sharing hands-on experiences, and discussing capabilities, benchmarks, safety, and practical workflows for coding and testing. The creator also vents about API access limitations, validation challenges, and future directions for multi-agent AI tooling in real projects.

00:00:48 read 00:43:32 video 9 chapters
Namecheap is suing their customers thumbnail

Namecheap is suing their customers

The video warning highlights how domain management can wreck a startup, sharing a high stakes case involving NameCheap and detailing why registrars and the domain ecosystem pose serious risk to businesses, with practical guidance on choosing reliable providers.

00:00:36 read 00:29:29 video 7 chapters
Agentic Coding Has A HUGE Problem thumbnail

Agentic Coding Has A HUGE Problem

The video reflects on how AI and a busy multi-project workflow shape daily software building, highlights UX and window management pain points, and discusses Sentry’s new agent dashboard and broader ideas about solving multi-project complexity with background tools.

00:00:45 read 00:19:02 video 7 chapters

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