The most personal computer
is the one that thinks only for you.
Local AI.
Yours to keep, yours to shape, yours alone.
tpae retweeted
It’s now public! No invite required.
Try it out and tell me what you think!
Pairs great with @NVIDIARTXSpark devices like the @surface Laptop Ultra!
tpae retweeted
Here's a snippet of the @OsaurusAI iOS app that I'm currently working on. It's being built entirely in UIKit with no traces of SwiftUI for maximum performance and backward compatibility.
Excited to bring the Mac app to mobile with Day 0 support for the new iPhone Duo!
tpae retweeted
Osaurus is coming to your pocket.
Native UIKit. Day 0 on iPhone Duo.
Here's a snippet of the @OsaurusAI iOS app that I'm currently working on. It's being built entirely in UIKit with no traces of SwiftUI for maximum performance and backward compatibility.
Excited to bring the Mac app to mobile with Day 0 support for the new iPhone Duo!
tpae retweeted
Building on the frontier.
Local models. Your Mac. Electrons you already paid for.
Thanks for calling local models the frontier.
Intelligence per watt is improving fast on its own curve. Soon local models will match what feels like frontier today.
When that happens, there’s an enormous opportunity: tools, infrastructure, and support for people building businesses on the electrons they already paid for.
Labs like @ornith_ , @Alibaba_Qwen , @liquidai , and @nanbeige are already pushing this forward with almost no revenue model.
We’re building the infrastructure for it. Reach out if you want to learn more.
Thanks for calling local models the frontier.
Intelligence per watt is improving fast on its own curve. Soon local models will match what feels like frontier today.
When that happens, there’s an enormous opportunity: tools, infrastructure, and support for people building businesses on the electrons they already paid for.
Labs like @ornith_ , @Alibaba_Qwen , @liquidai , and @nanbeige are already pushing this forward with almost no revenue model.
We’re building the infrastructure for it. Reach out if you want to learn more.
Today, a16z Crypto is becoming a16z Frontier.
Since joining a16z in 2013, @cdixon has focused on technologies that look futuristic well before they reach the mainstream. Those themes led to investments in Oculus, Skydio, Zipline, Coinbase, Solana, and Uniswap.
Frontier expands that mandate beyond crypto to back "outer planet" founders who are building new technologies and creating markets that may take years to develop.
Chris joins @pmarca, @bhorowitz, and @eriktorenberg to discuss why crypto has become part of the broader tech landscape, why Frontier fills a hole in the firm's architecture, and why they'd rather be too early than too late.
They also get into why the gap between AI-native startups and incumbents is the widest Marc has ever seen, how AI could pull forward 20 years of frontier technology, why stablecoins may become the way AI agents pay each other, how AI is breaking the internet's business model, and why today's 18-year-olds are about to become superhumans.
0:50 Introducing a16z Frontier
2:49 Smartphone parts to drones and VR
4:47 Backing the "outer planets"
7:11 Good ideas that look like bad ideas
10:43 The JP Morgan photo in Marc's office
15:13 Good tech ideas eventually work
16:53 AI may pull tech 20 years forward
18:18 The widest AI gap Marc's ever seen
22:06 Workers adopt AI before companies do
26:32 Old use cases vs. AI-native ones
30:08 Beyond "product manager brain"
34:45 AI can reverse engineer any hardware
38:23 The case for open source AI
46:36 How AI breaks the internet's model
49:11 VR, homebrew hacking, multiplayer AI
54:00 If you're 18, study "modern alchemy"
YouTube: youtu.be/-9XQMHhpypc
Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see a16z.com/disclosures for more information. A list of investments made by a16z is available at a16z.com/portfolio.
tpae retweeted
I don't think people realize how capable Local AI has become.
People compare them to the frontier models and conclude they are useless. That's like comparing a Honda Accord to a Bugatti Chiron.
Not everyone needs a hypercar, and not every task needs a frontier model.
tpae retweeted
NVIDIA spent its keynote selling AI factories.
A Mac read the whole thing and built a webpage about it.
The model found itself in the coverage.
Flint 40B. Running locally. Native Swift. No Electron.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
The page isn’t the impressive part.
Halfway through, the shell failed. It didn’t stop or ask for help. It switched to file tools and finished the job.
2.5B active params did that.
How many times do we have to give up our data before we learn that policy alone isn’t privacy?
If you want to protect your data, keep it local.
A quick explainer for everyone else.
>half the internet runs on PHP
>a big security bug dropped today
>basically hackers can take over websites just by sending one special request (crazy!)
>no password needed
>patches are out
>lots of sites are going down for emergency updates
>if you have a website, tell your host to update PHP right now
>if you don’t, just enjoy the random maintenance pages for now
AI just found two critical holes in PHP. The language behind most of the web.
If AI can find these, attackers can too.
Your data is only as safe as someone else’s server. Your AI doesn’t have to be.
Local is the way.
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
Building a harness for many models means designing for two users.
The human. And the model.
Small models don't have the attention span big ones do.
Fewer tools, fewer mistakes.
tpae retweeted
6 of 7 local-first ideals, adapted for agents. The seventh is being built.