Machine Learning Toronto (MLTO)
Event PAST

Machine Learning Toronto (MLTO)

20 January Online

About this event

Registration Instructions

NOTE: Meetup RSVPs are closed - to attend, you must register on the Luma event page.

Agenda
6:00-6:30 PM Arrivals and Networking
6:30-7:00 PM Tech Talk #1
7:00-7:30 PM Tech Talk #2
7:30-8:30 PM Networking & Wrap-up
8:30 PM Tear-down and Departures

​Talk #1
Jonathan Watson, Bosun AI Strategies - A Thoughtful Perspective on the AI Boom: Misallocation Rather Than Bubble

A recent macro analysis offers a measured view on the massive investments flowing into artificial intelligence. While acknowledging the genuine progress—strong revenues, rapid growth, and real demand—it suggests we may be witnessing not a classic speculative bubble, but a significant misallocation of capital that could limit AI's full potential.
​Drawing from economics, physics, and observations of enterprise adoption, the piece highlights four structural challenges in the current approach to building AI infrastructure. These issues, if unaddressed, might temper some of the current optimism.

​For those following AI's development, this perspective is shared in the spirit of constructive discussion. It may prompt useful questions about the path ahead and encourage a balanced view of the opportunities emerging in this fast-evolving field.

Talk #2, Northeastern University - TBD

About the Speakers
​Jonathan M. Watson is a strategist and futurist focused on macro-economics, distributed systems, and infrastructure investment. His work examines how physical constraints—especially latency, energy, and scale—shape which technologies succeed and which capital cycles misfire.
​Drawing on a background in global media systems and technology strategy, Watson studies the growing mismatch between hyperscaler investment models and the real requirements of edge and real-time compute. He writes and researches independently, sharing frameworks and lessons learned rather than predictions, with a perspective shaped as much by setbacks as by success.

Many thanks to our supporters and sponsors!
We'd also like to acknowledge our venue partners, Northeastern University, for generously providing their amazing space for the event and PRAKTIKAI for making the event happen.

​​Speak or Support MLTO!
We are always looking for new speakers and sponsors to share their knowledge and help build the AI community in the GTA! If you are interested please get in touch directly or apply via one of the links below:
- Speaker Application Form: mlto.ca/speak
- Sponsor Inquiry Form: mlto.ca/sponsor
- Volunteer Application Form: mlto.ca/volunteer

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