Scale retweeted
Congrats to @DarioAmodei and the @AnthropicAI team on Fable 5.2 results!
We had the opportunity to evaluate the model ahead of launch for our Remote Labor Index benchmark, and the results
are remarkable.
Just months ago, no model had crossed 10% on RLI. Today, Fable 5.2 scores over 40%, nearly doubling Opus 5.5.
A major leap forward in AI's ability to tackle real-world work.
🥇 @AnthropicAI's Fable 5.2 takes the top spot on our Remote Labor Index with @CAIS, our leaderboard which compares AI agents' work head-to-head with work by human professionals on real-world remote tasks.
The model successfully automates 41.3% of projects, nearly doubling the performance of the next-best model Opus 5.5, a major leap in AI's ability to handle real-world work.
A closer look at where the biggest jumps are coming from 🧵
We’ve published a joint reference with @Oracle for sovereign AI in production.
It gives government teams a tested path from pilot to production on OCI Dedicated Region, while retaining control of their data and models.
scale.com/partnership/oracle
Scale retweeted
Sovereign AI isn’t one decision. It’s a set of choices a country keeps making: where its data lives, which models it relies on, which cloud it trusts in production.
This week at MWC Doha, @scale_AI and @Oracle published a joint reference architecture for running our GenAI Portfolio on Oracle’s in-country cloud.
It builds on our multi-cloud blueprints for Qatar. Another path to keeping data and models under their own control.
scale.com/partnership/oracle
Scale retweeted
Today we're publishing a major RL environments update: 3,300+ tasks across tool use and computer use, already running with customers. Some tasks in our newest RL environments take a human team 3 weeks and 500+ tool calls.
scale.com/rlenvironments
Scale retweeted
Congratulations to Qatar’s Council of Ministers Secretariat General and @MCITQatar on winning Best Use of AI at the 7th GCC Digital Government Award.
Every new law has to fit with every existing one. The Smart Legislative Advisor surfaces the conflicts; legislators decide.
Proud @scale_AI helped build it.
qna.org.qa/en/news/news-deta…
Scale retweeted
@scale_ai is teaming with @huggingface to make robots better at long, multi-step tasks, and we’re open-sourcing all of it!
Today @scale_AI is launching FineART-VLA, a model that helps robots complete longer tasks, building on our first open-source robotics dataset.
Built with @huggingface 's LeRobot team, this is Scale’s first open-source robotics release.
Thanks to @Thom_Wolf + team for the partnership.
The momentum on open-source robotics is picking up steam, and high-quality data will determine how far it goes. Go build!
labs.scale.com/blog/fineart
Better robots start with better data.
FineART pairs 500K+ hand-annotated robot steps with an open model built to learn from them, helping close a critical gap in teaching robots to complete complex, multi-step tasks.
In collaboration with @HuggingFace, we’ve released the largest open robot dataset, alongside their first open System 1-System 2 model that can reason over step-by-step actions.
FineART is built with 40K+ demonstrations across 151 tasks and 500K subtask labels.
Together, the dataset and model were designed for each other, and both are available on @LeRobotHF where robotics developers work today.
Scale retweeted
DualChem, a new benchmark from @scale_AI, tested 29 frontier models on dual-use chemistry questions: ones that could serve either legitimate scientific research or harmful ends.
They frequently flagged the risk, then answered anyway.
Recognition is not refusal.
DualChem is part of our research collaboration with @NIST’s Center for Advancing Innovation and Standards for Super Intelligence (CAISSI).
Governments need independent testing capacity they don’t have today.
@madialder covered the findings at FedScoop:
fedscoop.com/scale-chemistry…
Scale retweeted
NEWS: @scale_AI is putting down roots in Qatar. Today we signed an agreement with @UDCQatar to establish a long-term home in Doha.
Our team in Doha has grown to nearly 100 people. The office at The Pearl builds on our five-year partnership with @MCITQatar, where our team is making healthcare, justice, education and tourism services more reliable for the people who depend on them.
We’ve also trained nearly 6,000 government employees.
Qatar’s AI ambitions depend as much on its people as on its technology, and building that literacy and confidence matters as much as anything we deploy.
Thank you to MCIT for its leadership, and to UDC for helping us build a lasting home.
scale.com/blog/scales-long-t…
From the beginning, Scale was built by people who love solving hard problems. That same ambition is driving what we build next.
Our ML Research Internship Program is accepting applications in SF and NYC. Work on frontier AI research alongside @ScaleAILabs researchers, publish your work, and help build the next generation of AI.
Apply now. scale.com/careers/university
Scale retweeted
NEWS: Scale is open for business in the UAE! Today at the Dubai AI Festival, we launched Scale AI in the UAE. Between this launch and our partnership with @PresightAI, we’re moving quickly to support the UAE’s national investment in AI.
Our role in this part of the world is to help these institutions put their strategy into practice by standing up AI that works reliably in Arabic, meets local governance requirements, and keeps people in control.
Our UAE team is based at the Dubai International Finance Center - thank you to the @DIFC for the warm welcome. We’re excited to be part of UAE’s dynamic AI industry.
lnkd.in/ghsYXmF3
Scale retweeted
The @scale_AI Mafia is an unreal force 🤯. Wild to see what this crew is doing—and the talent and ambition of the next generation. It’s clear this story is just getting started.
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]
We're still cookin 🧑🍳
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]
Scale retweeted
Nemotron 3.5 Bolt E4B 4GB is an impressive small language model. Its 76.8% on instruction retention shows it’s already strong out of the box, giving builders a solid base for post-training.
Congrats to @JensenHuang and the @NVIDIAAI team on the launch.
Nemotron 3.5 Bolt E4B 4GB from @NVIDIAAI is the 🥇small language model on MultiChallenge, scoring 56.03% and finishing 12.8 points clear of Gemma 4 E4B (43.2%).
MultiChallenge tests how well models hold up across realistic multi-turn conversations, from remembering details a user mentioned earlier to following instructions set at the start of a chat.
Where Bolt E4B pulls ahead says a lot about where small models are improving. 🧵
At #NVIDIAGTC Berlin, @JensenHuang highlighted our work with @Skydance to post-train @NVIDIAAI Nemotron 3.5 Super VL.
On real production tickets, the agent matched frontier-model accuracy at ~1/40 the inference cost and 5x the speed.
Scale retweeted
Scale ❤️ NVIDIA: Proprietary data + great post-training = sovereign intelligence. Thanks @JensenHuang and @nvidia for highlighting what @scale_AI and @Skydance built on Nemotron: +15 pts in accuracy.
From classrooms to legislative drafting, AI is being built into specialized government workflows.
Through a multi-year partnership with @MCITQatar, Scale is one of the partners contributing to AI adoption across Qatar’s public institutions.
What that looks like in practice ↓ scale.com/blog/how-public-in…
Scale retweeted
The future of enterprise AI is multi-model, and enterprises deserve the freedom to choose.
NEWS: We’re expanding that choice through our collaboration with @NVIDIA, post-training its open-weight Nemotron 3.5 Super VL for enterprise workflows. Here’s what it delivered for two of our customers:
✅ @Skydance: A complex finance workflow that reviews vendor credit memos, statements and invoices to find credits the company is owed. Post-trained Nemotron matched their current frontier model’s accuracy at 40x lower inference cost, with 5x faster response times.
✅ @EY_US: An M&A due diligence agent that finds and reconciles answers across hundreds of files in a virtual data room. Post-trained Nemotron matched EY’s current frontier model at about one-eighteenth of the inference cost, returning answers more than twice as fast.
Put NVIDIA’s open-weight models to work for your business with Scale Post-Training.
Thank you, @JensenHuang and the NVIDIA team, for the early access and collaboration.
scale.com/partnership/nvidia
A great pianist can play almost anything, but mastering one piece is what makes a performance exceptional. The same goes for AI.
With today's launch of Nemotron 3.5 Super VL, we’re collaborating with @NVIDIAAI to combine their open post-training tools with Scale’s data, evaluation and applications building expertise. Together, we're turning general-purpose models into powerful, cost-effective specialists for enterprises everywhere.
Welcome to the multi-model world. 🤝
