Turing

@turingcom

Our mission is to accelerate superintelligence to drive real economic progress.

Palo Alto, CA

turing.com

Joined September 2018

2,424 Following

17.6K Followers

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Turing
@turingcom
22h
Turing is heading to #NeurIPS2026 in Sydney, Dec 6–12! Find us at booth #88. Meet our researchers and explore the latest advances in benchmarks, RL environments, training, and evals for frontier agents. Explore everything we’ve planned: go.turing.com/turing-at-neur…
Turing
@turingcom
Oct 28
Turing is proud to support Math Kangaroo USA! Curiosity, persistence, and problem-solving are key to advancing science and AI. The Math Kangaroo team competition starts in November! To the next generation of mathematicians, scientists, and engineers: keep challenging
Turing
@turingcom
Oct 27
At the @WestBridge_Cap AI Summit in SF on Oct 15, @Jonsid spoke with @timshi_ai of @Recursive_SI and @prakhar5050 of @Meta. 1. We’re close to automating most AI research. Experiments are the slow part. 2. Agents aren’t reliable on long tasks yet. Lots of work is going into it.
Turing
@turingcom
Oct 23
Join our research partner @shubhamtweet in #Budapest for #EMNLP2026, where we’re presenting a joint paper with @Oracle : “PLSQLBENCH: Benchmarking LLM Systems for Executable Procedural Database Programming.” When: Mon, Oct 26 at 11:30 a.m. Session D, Hall H, HUNGEXPO Budapest
Turing
@turingcom
Oct 13
The AI frontier has moved from benchmarks to real work. The gap closes through the data-deployment loop: deploy, find where models break, turn that into better data, and train the next model. Turing is built for both sides of the loop, with labs and enterprises.
Jonathan Siddharth
@Jonsid
Oct 12
There’s a new AI frontier. It isn’t the benchmark anymore. It’s where models meet real work. A model that tops a leaderboard doesn’t move the economy. A model that runs a month-end close does. Models need residency.
Article
There’s A New AI Frontier
Bridging data and deployment to master real work Until recently, the AI frontier was defined by a single thing: how high the best models scored on public, general-intelligence benchmarks. Every few

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