Our mission is to accelerate superintelligence to drive real economic progress.
Palo Alto, CA
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Benchmarks are hitting record scores.
Scientists are still waiting for models that help them finish the actual work.
At @ICMLconf in Seoul, Turing's Charlotte Tao will discuss a new framework for evaluating frontier AI on real scientific workflows, not just auto-gradable subtasks.
Catch her talk, "Advancing Frontier Scientific Capabilities, Today and Tomorrow."
#ICML2026, Seoul, July 6-11.
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Turing retweeted
We are hiring for the Growth Team at Turing!
We're looking for exceptional talent for two exciting roles on our team:
Community Manager (Brazil or US) -
Help build and scale Turing's AI community through social, events, partnerships, and ambassador programs. If you've grown communities and love turning engagement into measurable impact, we'd love to talk.
Growth StratOps Associate (Remote/India) -
Work directly with the Head of Talent Growth to drive strategy, analytics, and cross-functional execution across our AI talent marketplace. Perfect for someone who thrives in fast-paced, high-ownership environments and enjoys solving complex growth challenges.
You'll work alongside world-class teams helping build the future of AI.
Links below.
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The next frontier in AI is not bigger models.
It's better training data.
The @Turingcom case study below demonstrates why factually grounded multimodal data is becoming a competitive advantage.
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The takeaway:
-500+ tasks.
-90%+ quality.
-One principle.
Better models start with better data. More below
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You can access the case study here: turing.com/case-study/delive…
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We are hiring for the Growth Team at Turing!
We're looking for exceptional talent for two exciting roles on our team:
Community Manager (Brazil or US) -
Help build and scale Turing's AI community through social, events, partnerships, and ambassador programs. If you've grown communities and love turning engagement into measurable impact, we'd love to talk.
Growth StratOps Associate (Remote/India) -
Work directly with the Head of Talent Growth to drive strategy, analytics, and cross-functional execution across our AI talent marketplace. Perfect for someone who thrives in fast-paced, high-ownership environments and enjoys solving complex growth challenges.
You'll work alongside world-class teams helping build the future of AI.
Links below.
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Community Manager: job-boards.greenhouse.io/tur…
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Growth StratOps Associate: job-boards.greenhouse.io/tur…
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Turing retweeted
Proud to see @Turingcom is one of the 35+ unicorns featured in this @PlugandPlayTC video! See what our CEO and Co-founder @Jonsid has to say about the “Plug and Play Effect” at the 1:32 mark.
35+ unicorns. Every one of them talked about more than the investment. First customers, first U.S. offices, introductions that opened doors they couldn't have knocked on alone.
piped.video/watch?v=O1sQOyJ5…
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Turing retweeted
Who is teaching the world’s most advanced AI models to think?
At Turing, we’ve spent years building the human intelligence infrastructure behind frontier AI.
Today, we work with the world’s leading AI frontier labs, helping power the development of coding, reasoning, tool use, and multimodal capabilities that are shaping the next generation of AI systems.
Watch the full conversation with @siddharthaa7, managing partner at @neon_fund and Turing's CEO @Jonsid below.
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Turing retweeted
Main conference, tutorials, workshops -- Booth #8406
Seoul is the place to be July 6-11. See you at COEX. #ICML2026
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Our GM, Key Frontier AGI Accounts, @juhiparekh94 was on a recent panel discussing what it takes to build AI agents in the enterprise , how the data-labeling/RL environment businesses are evolving, why real-time voice-to-voice models still aren't production-ready, how cheaper inference is still causing prices to go up and much more! Full video below.
Last week I hosted a fireside chat on what it actually takes to build AI agents in the enterprise with @natalie_meurer (Head of Agent Eng, @SierraPlatform), Harsh Trivedi (founding engineer, @mercor_ai), @juhiparekh94 (GM, @turingcom), and Kevin Lynch (Senior FDE, @fin_ai).
We got into how the data-labeling/RL environment business might only have a couple years left, why real-time voice-to-voice models still aren't production-ready, how cheaper inference is still causing prices to go up, how baking in a constellation of models into enterprise agents is so important for reliability, and much, much more.
Some of my favorite parts of the conversation (link to full episode in comments) ↓
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