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bay
Joined January 2024
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gregory langlais retweeted
A friend told me I have an unhealthy preoccupation with getting even. We'll see about that.
gregory langlais retweeted
Open source prosthetics! 🦿
A powered prosthetic leg runs its control loop at a few hundred hertz, on a battery computer strapped to someone’s shin, and the failure mode is literally a person falling over.
The Neurobionics Lab at Michigan says it plainly about their Open Source Leg: labs each build their own prosthesis, the mechanical designs differ so much that control strategies can’t be fairly compared, and the field’s impact on amputees suffers for it.
So they built one leg for everyone to use.
→ pancake motors from the drone industry, geared down to trade speed for torque and finer control
→ belt drives, no precision-machined parts, easy to assemble and take apart
→ modular: knee, ankle or both, with onboard power and control electronics
→ optional series elasticity at the knee, so researchers choose the stiffness
→ a Raspberry Pi running the control
Elliott Rouse, who directs the lab: “we hope our bionic leg will unite researchers with a common hardware platform.
AWESOME STUFF!
~~
♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
gregory langlais retweeted
I have built and overseen teams that have trained frontier models of every type.
Can say this confidently: there is no need for AI teams to build good models any more.
Can do it all with latest AI better.
Great models yes, but only for another year.
🚢
One researcher pretrained Mirendil-Base in 3.5 months, with agents doing almost all of the engineering.
That researcher now uses Lor 100% of the time.
Lor is the product @mirendil is building to do the work of an entire AI lab.
gregory langlais retweeted
This is Genie 4, our most realistic and interactive world model yet. 🌐
Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
gregory langlais retweeted
Join Omarchy SF on Nov 4 with @0xSero
Local AI on @omarchy, backed by the Omacom Foundation
Hosted by @Cloudflare
luma.com/7c2wohwf
gregory langlais retweeted
Linux started in 1991 as a hobby project. Today it runs on 4 billion Android devices, all 500 of the world’s top supercomputers, and powers much of our daily lives.
The LF Research report on 35 years of Linux looks at how the kernel got there, including the review-driven collaboration behind it and the creation of Git.
Read the full report: bit.ly/4yA03pH
gregory langlais retweeted
Excited to share Genie 4 today our most realistic and interactive world model:
- steer dynamic environments in real time, shaping events, camera angles, and actions
- generate native audio matched to the world, from realistic background sounds to characters who can converse in real time!
- simulate photorealistic scenes and real-world physics
- create more coherent multi-step events through reasoning from Gemini
We've started to roll out as a research preview to trusted testers. Coming soon to Google AI Ultra subscribers in Project Genie and early access partners via the Gemini API and AI Studio.
gregory langlais retweeted
Huhh, so this is what a supersonic sea-skimming target interception looks like (Unseen IR cam Footage from US navy).
USS Philippine Sea & USS Mason engaging a GQM-163A Coyote target using AEGIS combat system and SM-2 interceptors during SWATT training in the Atlantic.
gregory langlais retweeted
PCBs made in America. Twice as fast as Shenzhen.
Today @CircuitHub is unveiling The Grid, our factory-scale robot in Massachusetts that builds circuit boards on demand.
No changeovers, no per-design setup. Prototypes and production batches, fully automated.
gregory langlais retweeted
Over the last year, I've fallen in love with Rust.
I was a C programmer for about a decade, really loved C, then moved to Python, but always kinda missed C.
Then I discovered Rust, and well, I like it more than C.
I also think we're moving into a time where we can see code as art in many ways. Code can be beautiful, or at least, it is to me.
And while we all write code with agents now, that doesn't mean we can't write beautiful code, and work on improving our code quality.
In a world where agents write all our code, writing better code is actually even more important imo.
Soooo, I've been working on a skill that I use with my agents to write better Rust code, distilled from the Google Rust style guide, the official API Guidelines, Effective Rust, and a couple of others.
Thought I'd share it, it's called BeautifulRust 🦀 ✨
github.com/morganlinton/Beau…
gregory langlais retweeted
holy fucking shit.
openai had two ai agents running in separate virtual machines. no network connection between them. no shared writable files. they weren’t supposed to be able to exchange information.
so the agents figured out how to communicate through the CPU CACHE.😭
one manipulated what was stored in the processor’s cache, while the other measured tiny differences in memory access times to decode the message.
they literally found a way to communicate through hardware timing.
this happened during openai’s internal red-teaming, and it’s one of the coolest things i’ve read about ai agents in a while.
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing-ou…
Readers added context they thought people might want to know
OpenAI tasked its red-teaming agents with finding ways to communicate across isolation boundaries in controlled environments. CPU cache timing side-channels for covert communication are established techniques documented in security research for years.
openai.com/index/securing…
startupfortune.com/openai-reveals…
en.wikipedia.org/wiki/Cache_tim…
gregory langlais retweeted
Every kid in America will be invested in making life multiplanetary
@elonmusk will give over $10 billion dollars in @SpaceX shares directly to children in America
investing in the next generation
🤖 Made with AI
gregory langlais retweeted
i also pledged 50% of my equity. plz lmk abt nonprofits that need money
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit.
It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion.
In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding.
In the post below, we share more details about our new fund.
anthropic.com/news/public-be…
gregory langlais retweeted
Brandon and I pledged 50% of our equity. This was the principal reason that I left Google for Anthropic. The existence of this kind of program was a costly signal that Anthropic wasn’t just talk, at a time when Anthropic didn’t even have a released model. Fund a bright future!
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit.
It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion.
In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding.
In the post below, we share more details about our new fund.
anthropic.com/news/public-be…
gregory langlais retweeted
Gave my TV live @Polymarket game odds charts
You really can just do things nowadays
gregory langlais retweeted
Be smarter than AI, work on ml theory!
Some people on X realised that OpenAI's math drop didn't contain much cryptography. @dpaleka notes that a few more fields are under-represented: largely the ones that are useful for AI research
