Jake Loo retweeted
I am building a team.
If you're really really really good at building stuff, design, filmmaking, writing, pushing the models to their limits, or just making people care about a product at mass, certainly reach out.
Let's collab + make stuff.
Details:
docs.google.com/document/d/1…
I've stepped down from @thirdweb.
After 4+ years as co-founder and CTO, building this company from the ground up, scaling the team to 50+, shipping tools developers need to build onchain apps, it's been one of the most rewarding experiences of my career.
I got to work alongside some genuinely brilliant people across engineering, product, business, and marketing. The kind of people who challenged me, inspired me, and made me better at what I do. Lucky to have learned from every one of them, and especially grateful to have built this alongside @FurqanR an incredible co-founder and partner.
The crypto industry looks nothing like it did when we started. The use case has sharpened: disrupting financial rails. I'm excited to watch the team take thirdweb to the next level. I'll always be cheering from the sidelines.
At thirdweb, we built and deployed multiple AI agents across our product and org. I watched AI go from a nice-to-have to something that fundamentally changed how we worked. That experience shifted my thinking.
In early 2025, I only trusted AI with non-critical parts of the codebase. That has changed. Over the last couple of months, I've trusted it to build critical-path systems. It still demands proper system design, planning, and testing. But the gap between what AI can do and what we let it do is closing fast.
I don't think anything matters more than AI right now. Not as hype, but as a practical shift in how software gets built and used, how teams operate, how entire industries reorganize.
So I'm going all in.
Right now, i'm researching, experimenting, and building in AI. If you're working on something interesting, I'd love to hear about it -- let's connect!
software engineering is shifting from writing code to designing the world agents work in.
the real skill now is crafting the environment for the agents to thrive.
maybe it’s time to update the job title.
New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel.
Here's what it taught us about the future of autonomous software development.
Read more: anthropic.com/engineering/bu…
it's consistent with what we found ~6 months ago.
switching to code execution tools reduces our agents latency significantly
teapawt.org/jakeloo/status/1922717…
New on the Anthropic Engineering blog: tips on how to build more efficient agents that handle more tools while using fewer tokens.
Code execution with the Model Context Protocol (MCP): anthropic.com/engineering/co…
Jake Loo retweeted
we just open sourced engine-core
2 years 7 months of our learnings distilled into 25k lines of production Rust. this is the best thing I've ever built as an engineer.
our first open source rust repo at @thirdweb. let me tell you about my baby:
making ai multiplayer multiplies intelligence
it forces clear communication, and that will lead to better results
this will be the norm for how work gets done
This is so exciting - LLMs, but for the physical world
V-JEPA 2: real-world video in -> next action out
LLMs: text in -> next token out
Combining them is gonna be wild: LLMs as brains, V-JEPA as bodies.
Robotic agents that plan and act are almost here
Our vision is for AI that uses world models to adapt in new and dynamic environments and efficiently learn new skills.
We’re sharing V-JEPA 2, a new world model with state-of-the-art performance in visual understanding and prediction.
V-JEPA 2 is a 1.2 billion-parameter model, trained on video, that can enable zero-shot planning in robots—allowing them to plan and execute tasks in unfamiliar environments.
Learn more about V-JEPA 2 ➡️ai.meta.com/blog/v-jepa-2-wo…
As we continue working toward our goal of achieving advanced machine intelligence (AMI), we’re also releasing three new benchmarks for evaluating how well existing models can reason about the physical world from video.
Learn more and download the new benchmarks ➡️ai.meta.com/blog/v-jepa-2-wo…
As companies scale up, they ship more slowly. Why?
Coordination. It requires multiple people to ship.
An AI agent works across the stack. From reading code and product specs to producing content. Zero coordination needed
No more "finding time on your calendar". It just ships
The wildest AI takes are "it's not good enough yet" or "it can't do X well."
This completely ignores the exponential improvement curve we're on.
If you don't believe every aspect of digital work will reach human-level quality soon, you're setting yourself up for failure.
Agents are already handling tasks that required entire teams a few years ago. The building blocks for autonomous digital work is already here.
Most people aren't ready for how fast this will impact every company on the planet.
Jobs will transform, companies will become leaner, but we'll also see an explosion of new startups.
We're entering the greatest entrepreneurial opportunity in decades.
There's a big shift happening in how we learn online
Search-based learning required knowing what to look for and refining queries yourself
LLMs make learning more collaborative and exploratory - they help you discover the right questions
“good at googling” is now irrelevant
Jake Loo retweeted
IT'S DEMO DAY 🎉
Come see 30 of the most exciting web3 startups demo their apps, including
â—† Onchain AI Agents
â—† Blockchain games
â—† Consumer crypto apps
teapawt.org/i/broadcasts/1vAxRDbAn…
this is gonna change the engineering field completely
just knowing how to code isn't enough anymore, and the engineering manager's role will go away
staff engs will make 10x the impact
understanding product, business, and systems is more critical than ever
We're constantly experimenting with crypto AI agents - this is just the start!
More exciting updates coming soon. :)
Shoutout to @cjberragan for shipping this!