Edgar Arakelyan (@earakely)

Run x.com/trycua/status/… cua driver bench using CoreWeave Sandboxes today!

CoreWeave @CoreWeave 1d

You can now run RL environments and agents with AgentEnv from @scale_AI on CoreWeave Sandboxes.

With a quick pip install, your rollouts can run, fork, snapshot, and restore sandboxes immediately.

Try it on GridSimEnv from @ScaleAILabs.

⇢ crwv.co/uuCrV

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Edgar Arakelyan @earakely 1d

We are making CUA Evals extremely easy to build in AgentEnv Framework. We are doing an early showcase of this with Cua Driver Bench.

With our framework you can build an RL environment that has an arbitrary number of computers, swappable drivers, many agents on a single computer, host websites and proxy through your computers, and a whole lot more.

Cua @trycua 1d

1/ Today we're launching Cua Driver Bench, together with Scale AI's AgentEnv.

Can an agent do a desktop task in the background while you keep working undisturbed? On macOS, Cua Driver fully passed 58%, Codex computer use 33%, Vercel's agent-desktop 20%, browser-use 3%.

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Edgar Arakelyan @earakely 2d

Data labs ranked by number of papers accepted into Neurips 2026

Chris Barber Verified account @chrisbarber 2d

I asked people which data companies influence research direction at the frontier:

16 votes: Surge (@echen)

13 votes: Proximal (@calvinchen, @MatternJustus)

8 votes: Preference Model (@jennifgcrl, @Ning_Catsnail)

7 votes: Datacurve (@serenaa_ge, @charleyslee)

6 votes each:
- Mechanize (pre-acquisition) (@tamaybes, @EgeErdil2, @MatthewJBar)
- Mercor (@BrendanFoody, @adarsh_exe, @suryamidha)

5 votes: Fleet (@nicoup, @andrewthezhou)

4 votes each:
- AfterQuery (@CarlosGeorgescu, @spencermateega)
- Prime Intellect (@vincentweisser, @johannes_hage)

3 votes: Latch (@AlfredoAndere, @kenbwork, @kylegiff)

2 votes each:
- Abundant (@huyouare, @kehuangsf, @meji_abidoye)
- Artificial Analysis (@_micah_h, @grmcameron)
- Bespoke Labs (@madiator, @AlexGDimakis)
- micro1 (@aliansarinik)
- Terminal-Bench (@Mike_A_Merrill, @alexgshaw)

50 people voted. People couldn't pick a company they work at or founded. Disclosure: on this list, I'm a small investor in Abundant, AfterQuery, Arcanum, DLR, Fleet, Latch, Paper Instruments, Snorkel, and Vmax. I didn't vote.

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Edgar Arakelyan @earakely 2d

Frontier models of today are trained largely from publicly available data on the internet. Most data in the real world is not available on the internet; this is especially true in economically valuable verticals like law, finance, etc. The RL Environments we build at @scale_AI provide an opportunity to the frontier labs to get access to this extremely valuable data.

Francis deSouza Verified account @fdesouza 2d

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
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Edgar Arakelyan @earakely 3d

Train on GridSimEnv using @PrimeIntellect 's prime-rl training framework agentenvframework.com/docs/training/… in AgentEnv today!

www.agentenvframework.com prime-rl · AgentEnv Framework Train using Prime Intellect's prime-rl

Edgar Arakelyan Verified account @earakely 5d

At @ScaleAILabs we created a high fidelity RL Environment of a trading desk in a real Texas battery grid.

GPT-6.1 Sol made $85,771 trading a real Texas battery. The battery's real operator made $20,647.

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Edgar Arakelyan

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