Training your robot should be easier than training your dog. Until now it took weeks, a PhD, and plugging together many tools. Today this became much faster⚡️
Book a demo now ⬇️
SR007 APPLICATIONS ARE OPEN NOW
If you're building the next great company, we want to give you up to $1M in funding and $5M+ in credits, plus the most powerful launch platform in tech.
Apply before 11:59pm PT on May 17, 2026.
It only takes 5 min 👉 https://t.co/dd7LxOSRGO
Today, we’re opening @sunapp_ai to the public.
We’ve been building this not so quietly during @a16z@speedrun.
Audio used to be something you search for.
Now, you generate it.
Podcasts. Audiobooks. Courses.
Any topic. Any length.
Ask questions as you listen.
And if you don’t know what to generate, SUN knows what to play.
This is a new era of audio.
Download it and experience the magic!
Link below 👇
don't you use ai at work? you're fired
don't you use ai in interviews? you ain't hired
its interesting to observe the shift from ai-aversion
to ai becoming a passport
and heading to a phase where we have too much of it
hegelian dialectic in motion
we're live on the official MCP Registry, PyPI, npm, and 10+ directories
if your product ships in more than one language, this is the workflow change you've been waiting for
first localization MCP
go try it!
https://t.co/7JiHExAyRS
hot take:
the localization industry has a $50B workflow problem disguised as a translation problem
we just shipped something that proves it
@nativ_app is now an MCP server
your AI editor can localize your app as you code
here's what 5 days of work looks like in 5 seconds 👇
setup:
"nativ": {
"command": "npx",
"args": ["-y", "nativ-mcp"], "env": { "NATIV_API_KEY": "your_key" }
}
paste into Cursor, Claude Code, or Windsurf config
that's it
auto-installs
works with anything that speaks MCP
https://t.co/586rj4DaA4
early on, a big customer told us something interesting:
“anyone can translate with LLMs now
the real value is reasoning & matching it to what we've already approved"
we listened
@nativ_app now supports:
-translation memory matches
-TM references
-back-translation
-rationale
https://t.co/5RJMoTOeWS
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:
- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)
The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.
https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)
Final reminder - last week to apply:
A16Z SPEEDRUN ALPHA is for recent grads and college students who want to start a company but are pre-idea / pre-product
details:
- $20K equity-free upfront to start building
- up to $250K investment when you finalize
- automatic final interview for a16z speedrun, with up to $1M investment
- 8-week, in-person experience with a kickoff retreat, founder AMAs, and small-group dinners alongside the a16z speedrun community
- targeted to early-career highly technical founders
We stayed Alpha bc its a time of great change in the startup community and in the job market. And we know that most of the best founders don’t start with a perfect idea. They start with curiosity, talent, and the willingness to build things until something clicks.
Some of the most important companies of the last decade started this way:
- tinkering with side projects
- hacking on open source
- building weird prototypes with friends
- exploring a space before the opportunity was obvious
The goal of Speedrun Alpha is simple:
find exceptional builders before the idea is fully formed.
Instead of asking you to show up with a polished pitch deck, we give you:
- time
- community
- mentorship
- and just enough capital to start experimenting.
Just show up with technical ambition and curiosity. You spend the summer with us on the a16z Speedrun team exploring ideas, building prototypes, and talking to users. By the end, if something interesting emerges, we help you turn it into a real company.
The kinds of founders we’re looking for tend to look like this:
- engineers who can ship fast
- builders who have shipped side projects before
- hackers who like learning new systems quickly
- people who would probably start companies eventually anyway
We’re intentionally targeting recent grads and college students as a bet on the future.
If that sounds like you — or someone you know — this is the last call.