Jonathan Siddharth retweetledi
Jonathan Siddharth
8K posts
Jonathan Siddharth
@jonsidd
Founder & CEO, Turing. Accelerating superintelligence.
Stanford, CA Katılım Kasım 2008
4.4K Takip Edilen7.5K Takipçiler
Excited to share that Turing contributed to Enterprise Ops Gym, @ServiceNowRSRCH's new enterprise agent benchmark submitted to ICML.
Enterprise Ops Gym moves beyond short-horizon tool calls and evaluates end-to-end enterprise operations across realistic, multi-system workflows.
The paper, website, dataset, and code is below.
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Our results point to three concrete research directions:
🗺️ Constraint-aware plan generation. Methods that reason over prerequisite structures before committing to actions.
🧠 Long-horizon state management. Episodic memory or structured state representations to curb error accumulation
🚦 Safe refusal and escalation. Agents must reliably detect infeasible or policy-violating requests and abstain cleanly.
We’re releasing 60% public version of the benchmark today. Come build on it ..we’d love to see what the community does with it. 🙏
By @ShivaMalay, @PShravannayak , @TheJishnuNair, @sagardavasam, @SathwikTejaswi , @tscholak @NVIDIAAI @turingcom @ServiceNowNews , @jonsidd @Mila · With thanks to our partners at @Turing 🙏
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🧵 Introducing 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐎𝐩𝐬-𝐆𝐲𝐦🚀 : a rigorous new benchmark for stateful agentic planning and tool use in real enterprise environments.
1,150 expert-curated tasks · 512 tools · 164 DB tables · 8 domains. Every task verified by hand-written SQL, checking goal completion, state integrity and policy compliance🔥
𝐓𝐡𝐞 𝐡𝐞𝐚𝐝𝐥𝐢𝐧𝐞: Claude Opus 4.5 — our best-performing model succeeds on just 37.4% of tasks. With oracle tool access. No tool discovery required.
📄 arxiv.org/abs/2603.13594 (trending #4 on daily-papers)
🌐 enterpriseops-gym.github.io
🤗 huggingface.co/datasets/Servi…
💻 github.com/ServiceNow/Ent…
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Everyone asks when we’ll reach AGI.
The more interesting question, as @satyanadella put it, is when AI will move global GDP.
That moment comes when AI automates the everyday workflows that run companies. Sales prep, financial reporting, research, operations. The multi step work millions of knowledge workers do every day.
That is where the next breakthroughs will matter most. And we are still very early.
Enjoyed this conversation with @alexeheath in Davos.
Watch the full interview below.
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Love this. Excited to see @travisk back.
sudarshan@ItzSuds
@travisk That last section is so good. This why you’re the goat
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Congrats @CarinaLHong and @axiommathai on your mission.
Math, coding and tool use are the fundamental building blocks to solving Superintelligence.
Carina Hong@CarinaLHong
Excited to announce Axiom’s Series A. We raised $200 million fresh capital at a $1.6 billion+ valuation in a round led by Menlo Ventures to accelerate our strong execution momentum — extending our lead in formal math into Verified AI. Mathematicians and theoretical scientists dream up theories, formulate hypotheses. They then come up with proofs, a two-step process of discovery. We created Axiom to turn the sparks of curiosity into known truths - and to compress the timeline of breakthroughs. The Verified AI dream is a generalization of this dream. It is more than providing safeguards for mission-critical systems. This same gap between expert intuitions and the machinery needed for grounding exists today in any domain where the generation-verification iteration loop can be tighter. And yes, software eats the world, recursive self-improvement is a near sight. Verified AI is not about hallucinations, what’s lousy; instead, it’s about superintelligence, the brilliant. We work on Verified AI not due to a distrust in technology, but rather, we think the rapid advances of AI compels it. I’m grateful to work with and learn from the best team in the world. It’s not an easy journey, but climbing with you is what makes it worth it. And can’t wait to build with a more accelerated speed - nod to @shubho for grounding an ambitious vision in relentless execution everyday. This round was led by @mkraning with @CCgong. Thanks also to existing investors who doubled down for your conviction since the start (@jturow, @mattmcilwain of @MadronaVentures; @marcievu of @greycroftvc; @yanda, @IdaGirma, @nickgiometti of @BCapitalGroup; @ChrisAbshire_ of @Toyota_Ventures; @xtzhou, @jhuber of @TriatomicCap) and the new firms who we got to meet through the process.
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I think this has won funniest tweet of 2026 so far award
Saurabh Shah@saurabh_shah2
Ohhh good point!! Since RL mostly works now RL data might be a thing people wanna sell. Is anyone doing this? Selling RL envs? Is there even a single company doing this?
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I’m joining @SpaceX and @xai with @JasonBud.
X is the company realizing science fiction - reusable rockets, humanoid robots, data centers in space, and more. Almost 10 years ago, I joined SpaceX as an intern on Dragon 2 crew displays. This was in the era of the first rocket landings on barges, long before the Dragon 2 restored human spaceflight to America or Starlink delivered internet from space.
Every day since then, I’ve thought about the next steps to land on the Moon - and to build a city on Mars, data centers in space, the brains behind robots, and beyond. There is no better place to build teams and products from the ground up with planetary scale resources.
If you’re looking to work on the hardest problems that lay a foundation for humanity’s future to the Moon, Mars, and beyond - DM me.
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Jonathan Siddharth retweetledi
Join us in NYC for an evening of insights, light fare, and drinks as we explore Turing’s perspective on the evolving role of LLMs & the future of AI with innovators from companies such as Google, Meta, OpenAI, Anthropic, Amazon, Microsoft, Salesforce, ServiceNow, IBM, Adobe & more.
When: Wed, March 11 6:30 PM - 9:30 PM
RSVP Below.
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Jonathan Siddharth retweetledi
We are STILL THE NUMBER ONE trending dataset on @huggingface with over 6K downloads!
We appreciate the community support!
You can download the sample dataset or take it a step further and download the full dataset, below.
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Turing is a research accelerator for Superintelligence.
We’re helping frontier labs improve model capabilities in coding, RL, and agentic reasoning across economically valuable knowledge work.
We’re ramping up our R&D team. DM me if you’d like to join our teams in SF, Palo Alto and Bangalore.
You’ll work closely with me and our stellar research team @turingcom.
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@jonsidd Hey can you unable the dm , can you open them ?
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@jonsidd I would love to work with you!
I am a CMU grad student in ML, previously SWE at Google. rajworking.github.io
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