Jonathan Siddharth @jonsidd
Founder and CEO, Turing. Accelerating superintelligence to drive real economic progress @turingcom. linkedin.com/in/jonsid Stanford, CA Joined November 2008-
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MMLU is saturated. HLE is getting there. We built Multimodal STEM HLE++: for what comes next, and the top frontier labs publishing SOTA models are already using it. 1,100 PhD-level multimodal STEM problems that break Opus 4.6. Around 20% pass@1 on SOTA. Hard enough to expose reasoning failures. Solvable enough to generate real RL signal. Every problem requires joint reasoning over images and text, has a deterministic ground-truth answer, and was authored by a PhD-level domain specialist. 50-task public sample on @HuggingFace. Full pack available now. Links below.
Without context, agents are confident guessers. True. @paulg is right that AI-native companies won’t have this knowledge stuck in people’s heads. But the knowledge that matters is the failure you haven’t seen yet. The enterprise is too vast to map up front, so models keep breaking in new ways in production. You don’t extract context once. You catch each failure and feed it back. A loop, not a setup step. It runs for decades. This is why Turing does both data and deployment.
Imagine replacing 90% of your employees with a team of geniuses who have no idea how your company operates. Total chaos. Nothing works. That’s what AI feels like today. The missing piece is extracting all the domain knowledge from people’s heads and providing that as
Built this to push the frontier!!! 🚀 cc @jonsidd @anshulbhagi @turingcom
MMLU is saturated. HLE is getting there. We built Multimodal STEM HLE++: for what comes next, and the top frontier labs publishing SOTA models are already using it. 1,100 PhD-level multimodal STEM problems that break Opus 4.6. Around 20% pass@1 on SOTA. Hard enough to expose
This is why high quality expert data is so important. Data, compute, and implementation are the most valuable layers of AI. @Turing produces the most realistic and complex long context knowledge tasks and implements AI in enterprises. This is a self reinforcing cycle.
Imagine replacing 90% of your employees with a team of geniuses who have no idea how your company operates. Total chaos. Nothing works. That’s what AI feels like today. The missing piece is extracting all the domain knowledge from people’s heads and providing that as
LARRY ELLISON: AI IS RAPIDLY COMMODITIZING BECAUSE MOST MODELS ARE TRAINED ON THE SAME PUBLIC INTERNET DATA. THE REAL COMPETITIVE EDGE ISN’T THE MODEL ANYMORE — IT’S ACCESS TO EXCLUSIVE, PROPRIETARY DATASETS. THAT MAY BE THE ONLY MOAT LEFT.
The models are already extraordinary. That's not the hard part anymore. The hard part is letting them touch reality. Real workflows. Real data. Real stakes. The next decade belongs to whoever solves deployment, not whoever builds the best benchmark score. I've been making that bet for seven years. I'm more convinced than ever. Link below.
Who's actually building AI? 3 months and 14 episodes into This Week in AI, @Jason has sat down with founders and operators across infra, models, dev tools, consumer, creative, robotics, healthcare, and more. INFRA & COMPUTE Chase Lochmiller (Crusoe) @ChaseLochmiller Lin Qiao (Fireworks AI) @lqiao Chris Lattner (Modular) @clattner_llvm Nick Harris (Lightmatter) @theanalognick Mitesh Agrawal (Positron AI) @mitesh711 Alex Cheema (EXO Labs) @alexocheema Philip Johnston (Starcloud) @PhilipJohnston Naveen Rao (Unconventional AI) @NaveenGRao Russ d'Sa (LiveKit) @dsa FOUNDATION MODELS & RESEARCH Kanjun Qiu (Imbue) @kanjun Carina Hong (Axiom Math) @CarinaLHong Jeremy Fraenkel (Fundamental) @fraenkelj EVALS & BENCHMARKS Anastasios Angelopoulos (Arena) @ml_angelopoulos DEV TOOLS, CODING & AUTOMATION Karri Saarinen (Linear) @karrisaarinen Matan Grinberg (Factory) @matanSF Spiros Xanthos (Resolve AI) @spirosx Wade Foster (Zapier) @wadefoster CONSUMER & SEARCH Aravind Srinivas (Perplexity) @AravSrinivas Richard Socher (youdotcom & Recursive) @RichardSocher Tanay Kothari (Wispr Flow) @tankots Steven Berlin Johnson (NotebookLM) @stevenbjohnson CREATIVE & MEDIA Demi Guo (Pika) @demi_guo_ Victor Riparbelli (Synthesia) @vriparbelli Mikey Shulman (Suno) @MikeyShulman Grant Lee (Gamma) @thisisgrantlee ROBOTICS Jake Loosararian (Gecko Robotics) @jakeloosy Boris Sofman (Bedrock Robotics) @bsofman HEALTHCARE Shiv Rao (Abridge) @ShivdevRao Trey Holterman (Tennr) @TreyHolterman ENTERPRISE, VERTICAL & DATA George Sivulka (Hebbia) @gsivulka Kashif Ali (TaxGPT) @ChKashifAli Alex Elias (Qloo) @ape TALENT & WORKFORCE Ali Ansari (micro1) @aliansarinik Jonathan Siddharth (Turing) @jonsidd Thank you all for joining! Episode 14 out now: youtube.com/watch?v=szd0TY…
@ThisWeeknAI @Jason @ChaseLochmiller Enjoyed our conversation immensely.
Join me @turingcom Build superintelligence Shape the future
Turing is hiring Strategic Project Leads at gigantic scale with a focus on coding and enterprise. This is the role for people obsessed with running a tight ship while building at the frontier of superintelligence. The job: own the human data programs that train every frontier
AGI is already here and has been here for a while.
The “it’s not AGI because machine intelligence is jagged” is dumb cope. It’s obviously AGI. If you had a friend who had a 130 IQ, could write production code flawlessly, could write academic papers of a high research caliber, pass any exam in any field with flying colors, create
Open MM-RL Dataset is trending on @huggingface. We built something I've wanted for a long time. - PhD-level STEM reasoning across physics, math, biology & chemistry - 100% verifiable, auto-gradable answers - Single-image, multi-panel & multi-image formats - Two-round expert review on every problem - RL-ready reward structure out of the box Most multimodal dataset test perception. This one tests reasoning. The kind that doesn't break under scrutiny. Built by PhD SMEs. Validated for frontier models. Open to the community. Website & Dataset below.
Hugging Face: huggingface.co/datasets/Turin…
Turing is hiring Strategic Project Leads at gigantic scale with a focus on coding and enterprise. This is the role for people obsessed with running a tight ship while building at the frontier of superintelligence. The job: own the human data programs that train every frontier model worth training. Work with all the frontier AI labs and neo labs. Turing is the only company in this space building both ends of the research and enterprise deployment loop. This is a founder-mode company. We want operators with the same posture. Ex-founders, consultants, investment bankers, finance operators, technical PMs, engineers who've run a program end to end. The bar: exceptional ability and entrepreneurial DNA. The best SPLs don't fit in the box. They break it and shape a new one. Comment if you're interested. Tag someone who should be. DM me or email [email protected]. I'll read every application personally.
Open-MM-RL is trending at #3 on @huggingface! This is a strong signal that the community wants harder, cleaner datasets for frontier model evaluation, training and a sign that the community is actively looking for datasets that make multimodal evaluation more rigorous. Take a look, tell us what you think, below.
Introducing the Open MM-RL Dataset. A PhD-level multimodal STEM benchmark built for verifiable reasoning across physics, chemistry, biology, and math. Four STEM domains, one dataset -Physics: Quantum and Particle Physics, Condensed Matter and Materials, Electromagnetism,
Introducing the Open MM-RL Dataset. A PhD-level multimodal STEM benchmark built for verifiable reasoning across physics, chemistry, biology, and math. Four STEM domains, one dataset -Physics: Quantum and Particle Physics, Condensed Matter and Materials, Electromagnetism, Photonics, and Plasma Systems, Astrophysics and Space Physics -Mathematics: Algebra and Structure, Discrete Mathematics, Analysis and Continuous Mathematics, Probability and Geometry -Biology: Evolutionary Systems, Molecular Mechanisms, Cellular Processes and Neural Biology -Chemistry: Chemical Structure, Reaction Mechanisms, Synthesis, Spectroscopy and Properties We're raising the bar.
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