AfterQuery (@AfterQuery) header
AfterQuery (@AfterQuery) profile picture

Applied research lab curating data solutions to accelerate foundation model development.

Joined February 2025
Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)Photo by AfterQuery (@AfterQuery)
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.
Introducing SWE-2 Flash, our new fast & efficient coding model. On leading evals, it outperforms all American open-weight models, even ones 3x larger. To balance transparency and cyber risks, we are building a program to securely share the weights with partners & researchers.
5
6
3
21
2,369
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 🧵
20
22
8
151
17,660
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!
9
6
2
31
1,899
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. 💚
Big shoutout to all of our partners for making Nemotron 3.5 Super VL their own through post-training 🙌 Here’s what they’ve built 🧵
2
5
2
25
2,365
Replying to @AfterQuery
@AfterQuery’s throwing a sftw happy hour with @NVIDIAAI tonight at 6:30pm. reply for an invite.
13
6
5
24
3,077
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.
12
11
4
44
9,696
Replying to @AfterQuery
@AfterQuery is hosting a panel with @GoldmanSachs during SF Tech Week to discuss the frontier of finance! RSVP in the replies👇
4
4
2
12
973
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.
15
18
7
157
14,487
last nights spread for @AfterQuery‘s 3rd poker night now hosting these biweekly♠️
6
7
4
15
1,525
fluffy work trialers at the @AfterQuery office today
9
9
5
69
6,938
If you're free tomorrow night, @AfterQuery is hosting a researcher poker night tmr @ 8:30pm rsvp for deets👇
7
7
4
14
2,858
The @AfterQuery post-training team helped patch a critical LoRA weight-loading bug in SkyRL today. Check out our PR in the replies.
11
14
6
74
8,618
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.
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.
13
9
4
40
4,900
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 ⚡️
Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks... This model has been a ton of fun to work with, excited to see what you all think!
15
14
4
52
6,308
New @nvidia DGX Spark just came in. Hyped to put it to work and eliminate inference costs on a few of my workflows.
12
7
1
65
5,070
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.
6
9
1
31
6,729
hosting poker night at the @AfterQuery office this Thursday @ 8:30 pm join us 👇
13
9
3
38
6,810
Huge congrats to the @MicrosoftAI team on MAI-Cyber-1-Flash and 96% on CyberGym. Super hyped to see Microsoft keep pushing the frontier.
Big news! Our new MAI-Cyber-1-Flash model combined with MDASH, our multi agent security harness, delivers 96% on the CyberGym benchmark, 12pts above Mythos, at HALF the cost. Proud of the team. More details in THREAD:
10
8
1
32
7,082
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.
10
10
3
52
4,277
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.
11
12
1
69
7,118