AfterQuery retweeted
Congrats to @cognition on SWE-2 Flash!
Exciting to see an increasing number of companies train models around the work they know best.
Strong open foundations like @thinkymachines' Inkling-Small enable teams to shape intelligence around their own needs.
AfterQuery retweeted
Can collecting robot data be as easy as 𝗽𝗿𝗲𝘀𝘀𝗶𝗻𝗴 𝗿𝗲𝗰𝗼𝗿𝗱?
Introducing UMI-Live, a 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 bimanual UMI we made that takes you from handheld demonstrations all the way to a trained robot policy.
It's built to be easy to use. Each gripper has its own camera, LiDAR, compute, and battery, so there are no base stations to mount and nothing to calibrate in the scene. You press one button and both hands start recording.
While you keep collecting, our pipeline processes finished episodes in parallel and turns them into LeRobot datasets, automatically uploaded on Huggingface. VLAs fine-tuned mostly on this data succeed in 𝟭𝟬/𝟭𝟬 (π0.5) and 𝟴/𝟭𝟬 (MolmoAct2) trials on a real bimanual task.
We're open-sourcing everything, from the hardware designs and build guides to the code and ~40 hours of data 🧵
AfterQuery retweeted
Huge congrats to the @GoogleDeepMind team on Gemini 4 Carbon!
Impressive to see performance climb across many core capabilities.
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
AfterQuery retweeted
Replying to @AfterQuery
@AfterQuery is partnering with @NVIDIA to help enterprises post-train Nemotron 3.5 Super VL.
The future of enterprise agents is open. 💚
AfterQuery retweeted
Replying to @AfterQuery
@AfterQuery’s throwing a sftw happy hour with @NVIDIAAI tonight at 6:30pm.
reply for an invite.
AfterQuery retweeted
Working on AI research, post-training, or deployment? Come meet the @AfterQuery Team during SF Tech Week.
Wed 10/7: Frontier of Finance with Goldman Sachs
Fri 10/9: Rooftop happy hour
We'd love to see you there. Details + RSVPs below.
AfterQuery retweeted
Replying to @AfterQuery
@AfterQuery is hosting a panel with @GoldmanSachs during SF Tech Week to discuss the frontier of finance!
RSVP in the replies👇
AfterQuery retweeted
People still underestimate how large the data market will become.
Better models do not reduce demand for data. They increase the number of useful things models can learn.
The frontier keeps moving, so the data has to keep getting harder.
AfterQuery retweeted
last nights spread for @AfterQuery‘s 3rd poker night
now hosting these biweekly♠️
AfterQuery retweeted
fluffy work trialers at the @AfterQuery office today
AfterQuery retweeted
If you're free tomorrow night, @AfterQuery is hosting a researcher poker night tmr @ 8:30pm
rsvp for deets👇
AfterQuery retweeted
The @AfterQuery post-training team helped patch a critical LoRA weight-loading bug in SkyRL today.
Check out our PR in the replies.
AfterQuery retweeted
Gemini 3.8 set SOTA on DeepSWE at 9am. Muse Spark 1.3 took it back at 12:30pm.
Incredible work from the MSL coding team.
AfterQuery retweeted
Legal and finance are two of the highest-impact domains to crack.
3.8 Flash now leads both Harvey’s Legal Agent Benchmark and Vals Finance Agent v2. Huge congrats to GDM ⚡️
AfterQuery retweeted
New @nvidia DGX Spark just came in.
Hyped to put it to work and eliminate inference costs on a few of my workflows.
AfterQuery retweeted
Congrats to the @thinkymachines team on the release of Inkling-Small :bufo-yay:
Today, we are releasing Inkling-Small.
Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available.
thinkingmachines.ai/news/ink…
Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.
AfterQuery retweeted
hosting poker night at the @AfterQuery office this Thursday @ 8:30 pm
join us 👇
AfterQuery retweeted
Huge congrats to the @MicrosoftAI team on MAI-Cyber-1-Flash and 96% on CyberGym.
Super hyped to see Microsoft keep pushing the frontier.
AfterQuery retweeted
Replying to @AfterQuery
@AfterQuery is hiring SWEs!
In 14 months, AfterQuery has surpassed $100M in revenue run rate and works with all leading AI labs to build the data and systems that models train on.
Our founding eng team joined from firms like Citadel Securities, Palantir, and Meta, and we're hiring more.
Apply in the link below or drop your email.
Refer a successful hire and earn $10K.
AfterQuery retweeted
To the researchers impacted by the Amazon AGI layoffs: @AfterQuery is hiring post-training researchers.
We work on data solutions that support all frontier labs. If you’ve thought deeply about what improves model capability or behavior, we want to talk. DMs open.



























