Pathway

It was so great to chat about our post-transformer AI architecture #BDH with Corey Noles and @Grant Harvey from The Neuron - AI News! Thank you for having me! I believe that this podcast is a nice intro to the post-transformer era and BDH for everybody - no matter their tech level. I hope you enjoy it. The full episode is available here https://lnkd.in/gY2ExkbC *On the photo: me passionately explaining particle interaction systems 😅

How and what tech will change our lives in 2026? The Wall Street Journal, as always, has one of the best-informed perspectives. We are excited to see Pathway and the post-transformer era being part of their predictions! https://lnkd.in/g8GvHXfY

We recently had the pleasure of speaking with Jan Chorowski, a former Mila researcher who is now the co-founder and CTO of Pathway, where he's building the first post-transformer frontier model that solves AI's fundamental memory problem. He shares his journey from academic research to entrepreneurship, reflects on his time at Mila, and talks about his vision for the future of artificial intelligence. An inspiring conversation you won’t want to miss! https://lnkd.in/g5hHAujy #milaalumni

I’m excited to share that our CTO Jan Chorowski and CCO Victor Szczerba debuted on stage at #AWSreInvent: paving a bold path beyond the limitations of today’s AI. Their session introduced Dragon Hatchling (BDH), Pathway’s post-Transformer architecture designed to enable true continuous learning, infinite context reasoning, and real-time adaptation. We're not optimizing yesterday's technology; we're building what comes after transformers. This is part of our partnership with Amazon Web Services (AWS) to bring the first post-transformer frontier model to the world’s most scalable infrastructure. Watch the talk online: https://lnkd.in/e2d4yAcy

Most of the worries about an AI bubble involve investments in businesses that built their large language models and other forms of generative AI on the concept of the transformer, an innovative type of neural network that eight years ago laid the foundations for the current boom. But behind the scenes, artificial-intelligence researchers are pushing into new approaches that could pack an even bigger payoff. One early-stage startup developing a transformer alternative, Palo Alto, Calif.-based Pathway, is announcing today that its “Dragon Hatchling” architecture now runs on NVIDIA AI infrastructure and Amazon Web Services (AWS) cloud and AI tech stack. The company has shipped Dragon Hatchling architecture, but doesn’t plan to release the commercial models trained on it until next year. Once that happens, its Nvidia and AWS compatibility means companies would be able to put it into production “the next day,” Pathway told me in an exclusive story for the WSJ Leadership Institute. Dragon Hatchling imbues AI with memory that large language models can’t match, according to Pathway, theoretically enabling a new class of continuously learning, adaptive AI systems. The company also casts its approach as a potentially faster way to get to AGI. Pathway isn’t alone in this quest. It regards well-established Anthropic as its biggest obstacle. And it must convince people who have just learned one set of AI skills that they should adopt something new. Regardless of whether Pathway fulfills its ambitions, it will at least get a chance to make its case to the market. Its arrival also reinforces the intense scientific effort driving AI forward, even as big deals, big valuations and big personalities command the attention. Pathway Chief Commercial Officer Victor Szczerba said the technology could be useful in solving complex supply chain variability, fusion research, space exploration and optimization of global trading networks. The key is a need for real innovation. To come up with a new spaceship design, an AI model can’t just access lots of data on other spaceships and learn. It requires a model capable of generalizing or learning to reason, rather than pattern matching. “We will speed up innovation cycles dramatically,” Zuzanna Stamirowska, co-founder and CEO at Pathway told me. “The problem with current transformer-based models is that they need a lot of data, and they don’t generalize outside….of what they have seen.” The company said it has raised more than $16.2 million in VC funding and about $3.8 million in grants. Backers include Lukasz Kaiser, one of eight Google researchers who kicked off the transformer era with the paper “Attention Is All You Need,” and TQ Ventures. While a bubble may have formed around the concept of the large language model, that need not be true of AI itself, according to Martin Farach-Colton, chair of the Computer Science and Engineering Department at NYU Tandon School of Engineering. The Wall Street Journal

We’re honored to be featured in The Wall Street Journal, highlighting our post-transformer architecture, Dragon Hatchling, and our newly announced integration with NVIDIA’s AI infrastructure and Amazon Web Services (AWS) cloud and AI tech stack. As our CEO Zuzanna Stamirowska shared, Pathway is moving past the limits of current AI systems and toward brain-inspired models that can transfer memory, adapt over time, and learn like living systems. Read more here: https://lnkd.in/eNCJwE3Q

The future of AI won’t just rely on scaling transformers, it’s about rethinking the architecture entirely. Welcome to the Post-Transformer Era. Today Steve Rosenbush at The Wall Street Journal broke the news that Pathway’s Dragon Hatchling (BDH) architecture will now run on NVIDIA’s AI infrastructure and Amazon Web Services (AWS)’s cloud and AI tech stack. Dragon Hatchling is our first step toward AI that learns over time, has intrinsic memory, and reasons with purpose, not just patterns. Read the full piece: https://lnkd.in/ewMpfFSZ

Pathway is a Bay Area based foundational AI research company. It is introducing the first post-transformer LLM that adapts in real time and reasons like humans. Alongside the model, Pathway has built the world's fastest data processing engine that supports various stages of an enterprise ready agentic pipeline. This year the Pathway High Prep problem raises the bar. It calls for mindful financial agents that solve specific hard problems and are ready for real world deployment. #Pathway #PostTransformer #AIInnovation #AgenticAI #EnterpriseAI #FutureOfIntelligence #interiittechmeet14 #interiit #techmeet