@AfterQuery

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

afterquery.com
Joined February 2025
  • Tweets88
  • Following9
  • Followers3.6K
17Media
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. 💚
NVIDIA AI
@NVIDIAAIOct 16
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 🧵
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Replying to @AfterQuery
@AfterQuery’s throwing a sftw happy hour with @NVIDIAAI tonight at 6:30pm. reply for an invite.
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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.
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Replying to @AfterQuery
@AfterQuery is hosting a panel with @GoldmanSachs during SF Tech Week to discuss the frontier of finance! RSVP in the replies👇
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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.
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last nights spread for @AfterQuery‘s 3rd poker night now hosting these biweekly♠️
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fluffy work trialers at the @AfterQuery office today
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If you're free tomorrow night, @AfterQuery is hosting a researcher poker night tmr @ 8:30pm rsvp for deets👇
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The @AfterQuery post-training team helped patch a critical LoRA weight-loading bug in SkyRL today. Check out our PR in the replies.
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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.
Mark Zuckerberg
@finkdSep 2
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.
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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 ⚡️
Logan Kilpatrick
@OfficialLoganKSep 2
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!
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New @nvidia DGX Spark just came in. Hyped to put it to work and eliminate inference costs on a few of my workflows.
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Congrats to the @thinkymachines team on the release of Inkling-Small :bufo-yay:
Thinking Machines
@thinkymachinesJul 30
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.

Introducing Inkling-Small

An open-weights model that matches Inkling at a quarter of the size: multimodal, Mixture-of-Experts, with controllable reasoning effort. Fine-tune it on Tinker.

thinkingmachines.ai
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hosting poker night at the @AfterQuery office this Thursday @ 8:30 pm join us 👇
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Huge congrats to the @MicrosoftAI team on MAI-Cyber-1-Flash and 96% on CyberGym. Super hyped to see Microsoft keep pushing the frontier.
Mustafa Suleyman
@mustafasuleymanJul 27
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:
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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.
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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.
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Congrats @mgalle on the new model🎉
AfterQuery
@AfterQueryJul 22
Congrats to the @PoolsideAI team on Laguna S 2.1! With thinking enabled, Poolside reports scoring 70.2% on Terminal-Bench 2.1.
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Congrats to @GoogleDeepMind on making a fast model 🏎️💨 Excited for what's ahead!
Google DeepMind
@GoogleDeepMindJul 21
We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities.
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AfterQuery is quickly closing the gap on the “giants.” We’ve already grown multiples past the $100M revenue run rate cited here. If you’re a post-training researcher or lab that needs long-horizon tasks, professional / knowledge work data, high-fidelity RL environments, code generation data, or internal evals done right, my DMs are open or reach out to us at research [at] afterquery [dot] com.
Deedy
@deedydasJul 12
Every single startup selling AI Training Data (July 2026) >50 cos sell data and RL environments to big AI labs and drive AI progress behind the scenes. They total ~$8.5B in rev and ~$100B in valuation, >75% of which are just 4 players: Scale, Surge, Mercor and Handshake.
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