Work From Home !! This is Future , This is Evolution !! My Happy Place !!#GoBoundaryLess Thankyou !! @turingcom @turingcomdev #WorkFromHome #Productive #Focused #AI #ArtificialInteligence #qualityassurance #QA #qaengineer #testerslife #engineer

Turing is proud to sponsor @DeepLearningAI's Learning's AI Dev Conference in New York. Join us the night before for a happy hour to kick off the event and connect with fellow AI innovators. Reserve Your Spot:👇

Our CEO, @jonsid just returned from an incredible trip to Japan for the newly signed partnership between our friends at OpenAI & Hitachi. It's clear, we're in the next era of the AI race & global collaboration is imperative to unblock bottlenecks. With this partnership OpenAI will work with Hitachi's energy & power grid operations, cooling equipment, storage, & its digital solutions hub, Lumada. Turing is here to proudly support the data pillar of AGI infrastructure & enterprise AI solutions. Historic moment.

Big day. Congrats to our partners @servicenow on Apriel-1.5-15B-Thinker. An open-weight multimodal reasoning model delivering frontier performance with a fraction of the compute. Built with FastLLM & a novel 3-stage pipeline (depth upscaling, staged continual pretraining, high-quality SFT), no RL required. Scoring 52 on AAI and topping 4B–40B peers on IFBench & TauBench Turing is proud to provide the data & partner with ServiceNow, @ServiceNowRSRCH, Srinivas Sunkara, @sagardavasam, @carnaticfiddle, @tscholak & @RajeswarSai to power this research.

ServiceNow just announced Apriel-1.5-15B-thinker and it is on par with Deepseek-R1-0528, a model ~40 times it’s size! ➔ Frontier model capability on a single GPU ➔ It is also the best reasoning model under 50 billion parameters This is a great example of how Turing collaborates with AI labs to create highest quality post training datasets to build the best models. Looking forward to more collaborations with ServiceNow.

At Turing we're actually creating a benchmark for coding that's even harder than SWE-bench.

You Don’t Need One Super Intelligent Model. You Need a Team.

At Turing we're actually creating a benchmark for coding that's even harder than SWE-bench.

We are witnessing the end of data vendors and the rise of research accelerators. Turing is “Switzerland” — the neutral, strategic data partner to all frontier AI labs. See more of my thoughts at our latest blog post here: turing.com/blog/turing-is-sw…

Meta’s $15B investment in ScaleAI highlights the importance of data partnerships for advancing AGI. At Turing, we remain fully neutral, serving all frontier models equally. Excited to continue to serve as a trusted research accelerator to all AI labs in need of high quality data to train their models. If you want to keep advancing in coding, reasoning, agentic workflows, multilinguality, and multimodality (audio, video, vision, and computer use agents), come talk to us @turingcom. The AGI race is on. 🚀

GPT-4.1 and GPT-4.1 mini just landed in ChatGPT—and they’re faster, sharper, and better at code and instructions. This update isn’t just a performance bump—it’s a peek at where the future of agentic and multimodal AI is headed. As models get stronger, the challenge shifts to getting them into real-world products quickly and safely. That’s where Turing comes in—we help AI labs and enterprise teams build with speed and confidence, from training and evals to launch 🤖🚀

Academic benchmarks are saturated. Turing is building real-world LLM evaluation—grounded in tasks, tools, and outcomes. Private test sets. Human impact-based scoring. Join the collaboration: bit.ly/4jQmKyT

Your work could be center stage at NeurIPS 2025 🚀 Join the Nvidia Data Filtering Challenge—sponsored by Turing—to shape how smaller LLMs are trained and evaluated on edge platforms. Winners co-author a technical report and influence the future of data quality for edge AI. 🕒Submissions close July 1. 📅Register here: bit.ly/3F5fPDc

Building with generative AI demands both deep expertise and real-world experience. Turing develops and scales custom, LLM-powered capabilities—delivered in dedicated, secure environments—to drive higher accuracy, faster performance, and measurable business impact. Accelerate your GenAI success with the global leader in LLM training. Learn more at bit.ly/3VitjQY

Announced today during ICLR: Turing’s Applied AGI Benchmarks now include a formal collaboration track. Help shape how frontier models are tested—based on real-world performance, not just leaderboard scores. Join us 👇 bit.ly/4jQmKyT

Most AGI benchmarks chase leaderboard wins. At Turing, we measure real-world performance—inference under load, post-training gains, and deployment-readiness. Announced at @iclr_conf: Our Applied AGI Benchmarks now includes a collab track. Join us → bit.ly/4jQmKyT

Public benchmarks don’t tell the full story 🔍 We break down why private evaluations are essential for tracking real-world LLM performance on code tasks. turing.com/blog/private-benc…

Turing CEO @jonsid joined @SquawkCNBC at @iclr_conf to talk AGI, Asia’s AI momentum, and why the world’s top labs partner with Turing to move faster.

Catch @jonsid on @SquawkCNBC as he breaks down the global race to AGI—and how Turing is helping accelerate it alongside frontier labs and hardware leaders. 📺 Watch the segment below: ➡️Part 1: bit.ly/4cNQeLv ➡️Part 2: bit.ly/44Ea3me

Demis Hassabis calls AGI “the most profound tech ever.” From AlphaFold to reasoning agents, the future is accelerating. At Turing, we help enterprises build with AGI now—so they’re ready to lead tomorrow. cbsn.ws/3Y8c1ay

Claude Code is Anthropic’s take on AI-powered dev workflows—customizable, tool-aware, and built for real codebases. Their latest blog breaks down best practices. At Turing, we help enterprises turn systems like this into production-ready pipelines. anthropic.com/engineering/cl…