"With customization, and with partners in the ecosystem that we work with, you could turn these models into the frontier. And as a result, turn your proprietary data into sovereign intelligence."
Thanks, @JensenHuang and @NVIDIAAI, for highlighting our work with the team at @coderabbitai on post-training open-source models to reach frontier capability!
THE SCALE MAFIA
one of the most special parts of starting a company is watching the people you fought and bled with in the early days go out and change the world.
the Scale crew was supernatural. @scale_ai was one of the first companies to IOI and IMO-maxx, and the magic of Scale was that all of these geniuses gave a shit and ran through walls. it's no wonder that the Scale mafia is the first true mafia of the modern tech era. just to name a few:
- cognition founder @stevenkplus1 & president @russelljkaplan
- modal founder @akshat_b
- tech & science advisor to POTUS @mkratsios47
- claude code head of product @_catwu
- kpcb partners @LM_Braswell & @nayakkayak
- bun founder @jarredsumner
- tbd head of product @lindugong
- netic founder @melisatokmak
- cobot founder @BradPorter_
- secureframe founder @shravvmehtaa
- paramount skydance cfo @DennisKCinelli
- thinking machines gc lauren lennon
- partner at greylock @sophia_luo_
- liquid ai coo jeffrey li
- gallatin ai founder @agilemofo
- tbd safety @_julianmichael_
- center for ai safety president @devindkim
[photo courtesy the beautiful wedding of @thenateherman (who in many ways was a cofounder of Scale) and @ChristinaG325]
SendCutSend went from a hobby to making 50 million metal parts per year. It just raised another $140 million to keep expanding.
I spent a couple of days with its founder @jimbelosic at the Reno headquarters and factories and his childhood home. Big ole story on what I discovered right here - https://t.co/YUsJpJywkV
With open models, we can build safety tooling directly into the inference layer.
Our CEO and co-founder @tuhinone sat down with @kr00ney at @cnbc to discuss Project Beacon, and our work with @GoodfireAI to make safety the default for open intelligence.
We will continue to put the RL environments in the bag
I've written about this before (https://t.co/sEHreiE64K) but RL environments are the way models will continue to learn in the real world, and now our customers have access to a wide network of vetted partners to help them do this at scale. Super excited to continue advancing access to frontier, specialised intelligence
Today we’re announcing the Baseten Environment Network, a group of the best RL environment companies that will help our customers build custom environments for post-training.
The Network extends our applied research capacity, helping more customers build environments around their own tasks, data, and feedback.
Partners work directly with customers to create the environments, while we continue to handle model training and production deployment.
Learn more: https://t.co/Brqd2eXgOh
While frontier models have show some impressive zero shot demos for robotics, there remains a wide specrum of physical capabilities where there remains a gap. Our goal with https://t.co/e0vUezdcM1 is to better understand these models in a target manner.
Stay tuned for more!
@baselabs have the best decision model in the world (Mammoth-1, 27b), and also the best under 15b (Elephant-1 9b, which also beats Jev!) The most exciting thing about this model work is that it crystallises something very clear about RSI: that recursive improvement is here with agentic workflows, but recursive self improvement isn’t here yet. Models are more than capable of iterating on a model that is either one rung down the capability ladder from itself, or one level simpler (ie an agentic LLM working on a decision model) but they are not capable of improving themselves yet. We’ve tried a lot to get LLMs to improve themselves (through building their own RL environments, training themselves, curating mid training data, etc) and it still relies on a heavy human hand in the loop. However, this decision model training was one of the first times where we set up this outer loop and it worked. Our decision model got better and better as we provided high level, meta-guidance to the agent and worked on the outer loop harness to install general principles for alternating the scaling of the data and subsequently correction of the data, both of which made the model better (20 aggregated index points for scaling the data 16x, 8 index points for fixing and cleaning the data!).
We’re offering this for free for a week on @baseten MAPIs, try it out and let us know what you think!
Everyone says they want to reindustrialize America, Jim + @sendcutsend are actually doing it.
We’re thrilled to lead their Series B as they scale the "Anything Factory" to more locations and new service lines, for customers building everything from bottle openers to rockets.
Okay it’s happening:
- Added 160k square feet in Reno for our automated high volume lines and parts up to 5’x10’. Operational now.
- Added 170k square feet in Pittston PA for 1-day shipping (or faster) to the Northeast US. Landing machines and growing the team now.
- Southeast US is next (flying out next week to negotiate a lease). 3 more leases in 3 more states to sign after that. Expect massive lead time reductions across our factory network.
- Finalizing our first acquisition and working on the second and third. These are services you’ve been asking for. More coming. We’ll be able to say yes to more of your BOM.
- Welding is ramping nicely. More assembly support soon.
- More materials and capabilities for CNC machining in development now, including much smarter pricing. Increased capacity will also help us cut lead time drastically.
- Added 450 people so far this year. Hopefully double that in 2027.
- Candy and merch budgets have been tripled.
…And we’re just getting started. That’s a big part of why we raised again: to build more, ship faster, and make manufacturing easier and more accessible. I’m doing my best for ya. I love you guys.
Big thanks to @willreed at @sparkcapital , @caitlinbolnick1 at @CRV, @marksugarman at MHS, @andrew__reed at @sequoia and @matthuang at @paradigm for supporting our Series B (and the extra rocket fuel)
LFG!!!!! 🇺🇸
Mercury Payroll is live. You make the hire, Mercury handles the rest.
It’s AI-powered payroll with white-glove compliance support, built into your Mercury account. Try it today: https://t.co/UXj8zjDgys
1/
Hiring your first employee is one of the biggest moments for a founder. But payroll, taxes, benefits, and compliance are far more complicated than they need to be.
Now with AI we can make the pain of payroll go away.
@Mercury Payroll* launches today!
Okay it’s happening:
- Added 160k square feet in Reno for our automated high volume lines and parts up to 5’x10’. Operational now.
- Added 170k square feet in Pittston PA for 1-day shipping (or faster) to the Northeast US. Landing machines and growing the team now.
- Southeast US is next (flying out next week to negotiate a lease). 3 more leases in 3 more states to sign after that. Expect massive lead time reductions across our factory network.
- Finalizing our first acquisition and working on the second and third. These are services you’ve been asking for. More coming. We’ll be able to say yes to more of your BOM.
- Welding is ramping nicely. More assembly support soon.
- More materials and capabilities for CNC machining in development now, including much smarter pricing. Increased capacity will also help us cut lead time drastically.
- Added 450 people so far this year. Hopefully double that in 2027.
- Candy and merch budgets have been tripled.
…And we’re just getting started. That’s a big part of why we raised again: to build more, ship faster, and make manufacturing easier and more accessible. I’m doing my best for ya. I love you guys.
Big thanks to @willreed at @sparkcapital , @caitlinbolnick1 at @CRV, @marksugarman at MHS, @andrew__reed at @sequoia and @matthuang at @paradigm for supporting our Series B (and the extra rocket fuel)
LFG!!!!! 🇺🇸
Scaling past a trillion parameters requires inference engineers to solve 3 issues:
- Width: Routing between hundreds of sparse experts
- Depth: Mixing global and local linear attention
- Length: Processing 1M-token sequences
I asked Ali and Bryce to draw it up. They delivered.
You buy / broker data short-term so you can build the most realistic and idiosyncratic RL envs and tasks for frontier labs medium-term so you can build evals, agentic systems, and custom models for enterprises long-term
Full house at Benchtalk Boston for @nlarusstone unveiling Science Foundries, a new way to run scientific processes end-to-end with agents and scientists working as a team.
https://t.co/bDZJna9Nz6
1/ Starting today you can take actions on your @Mercury business and personal accounts right from your agent (ChatGPT/Claude/etc) via the MCP.
Our MCP already let you ask questions about your accounts.* Now it can move money too (with your approval).