@adrian_pathway, @pathway_com's co-founder and Chief Scientific Officer, will join @ilblackdragon and others on stage to discuss putting the Post-Transformer era into practice at the Open Source AI Summit. 🕓Oct 22, 4:10 PM 📍 The House by Edge & Node, SF

In my new piece for @Forbes, I make the case that Transformers won’t be enough to get us to Superintelligence. They’ve taken AI extraordinarily far. The shift from models that retrieve to models that learn from experience will enable a wide range of applications that must reason reliably as information and constraints change, from cybersecurity incident response to real-time industrial operations. Our own bet is that the next leap in AI reasoning won’t come from making transformer-based models bigger. It will come from building AI that remembers, reasons and becomes more capable with use. These systems will bring structural efficiency to the picture. Transformers defined this era of AI. That doesn’t mean they get to define the next one.

Building @pathway_com is an ongoing journey. I had a great time sharing bits of it with founders, researchers, and investors. Thank you, @Mila_Quebec Ventures & Espace CDPQ for your continued support!

Our CSO @adrian_pathway took the stage at the AI Conference to explore the Post-Transformer landscape. With BDH, we’re uniting memory, reasoning, and adaptation. Call it intelligence-maxxing: more intelligence per watt, token, and dollar. Watch below 👇

OpenAI just announced a breakthrough in matrix multiplication - the critical building block of countless algorithms, including how all of the AI works. Like, if you were wondering what @nvidia's chips are doing - this is what they're doing. We could argue that slashing the theoretical efficiency exponent from 2.371339 to 2.25 for square matrices represents a tectonic shift in both computer science and the economics of artificial intelligence. Over lunch, my colleague at @pathway_com just extended the result to rectangular matrices, slashing the exponent to ω=2 for the other most used matrix shape (n × √n matrix by a √n × n matrix). Here is the paper (in replies). You're welcome. What beautiful times we live in, when you can get results like these while chewing on your burrito. Cheers to Przemysław Uznański (@PrzemekUzn25621)! 🍻 Human mathematicians can still be somewhat useful ;-) *The remarkable part is the equality: two is the smallest possible exponent, matching the lower bound imposed by the n^2-entry output. For this matrix shape, this result settles the exponent exactly, once and for all.

The AI frontier is moving faster than any single model can keep up with. I’ll be at @TechCrunch Disrupt with @vipulved and @mojomaa0 to talk about how to navigate cost, reliability, and a rapidly moving frontier.

The AI community built steam engines for thought before developing the thermodynamics of intelligence. At Pathway, we are working on the theoretical foundations of AI. Our Equations of Reasoning are a first step toward a theory of generalization. The proposed equations enable a more rigorous, principle-based approach to AI development. One in which reasoning is within the reach of mathematical analysis. This work is, of course, useful for AI safety, but it also guides our model development. You can now read all about it in our new blog post (link in the first reply).

From negotiations surrounding the fall of the Soviet Union to the future of AI, @jattali is joining @pathway_com Advisory Board. One of the world’s top 100 “global thinkers” according to @ForeignPolicy, founded four international institutions (including @EBRD), helped launch the careers of Emmanuel Macron and François Hollande, and has written 95 books, more than 30 of them exploring the future of economics, geopolitics, and society. He advises us on funding strategy and BDH’s economic and social impact as it reshapes debates around governance, safety, and geopolitics. We have known each other for a very long time - it's an honor to have him by our side.

Ok. This is cool. Thank you @Nasdaq for celebrating @pathway_com. Post-Transformers in New York :-)