
Cofounder | AI engineer & researcher @hdclabs_ai Blogging @ https://xitter.cf/t.co/gLektr01zQ and https://xitter.cf/t.co/rU0gaNPIgm
Toronto 🇨🇦
Joined October 2013
- Tweets4.5K
- Following1.9K
- Followers2.4K
- Likes16.7K
Same 😭. The brain has gotten habituated to feel like doing anything else (scrolling, opening X, etc.) when I'm waiting for my agents to finish their work. And then the constant switching between multiple agent sessions.
I think mindfulness meditation is the only way to go! 🧘
So stoked for this one! It's such a fascinating topic to be speaking about, and I couldn't have found two better people to present with!
See you at @_odsc West in San Francisco next week!
7 days to go until ODSC AI West 2026! @_odsc
Our "Connected Intelligence" sessions in the new graph-enhanced AI track explore how AI can recall relevant experience, check it against current rules, and learn something useful for the next decision.
David Hughes and @tech_optimist are going to be in San Francisco with @hdclabs_ai and @amyhodler, from October 27-29. 🧵👇🏽
1/2
I don't know who needs to hear this, but no matter who you are, the MOST important skill to train in the age of AI is critical thinking.
When you see (or are told) something in the real world, you should aim to question *why* it is what it is, rather than just looking at *what* it is. Understand how things work.
If one exercises critical thinking skills hard enough, you never stop (or tire of) learning. You just absorb new information like a sponge, and because you're always asking "why?" and "how?", you end up going wider and deeper than you ever did before you had AI. It was simply too hard to spend the time on that deep a study before. Now, you can.
Graphs 🤝 world models as they capture connectivity of state
Plea to Anthropic. Please don't release opus 5.6 and regress on 5.5, I beg you. I love 5.5, not ready to let it go 🥲
Prashanth Rao retweeted
As a dataset grows, unrelated hypervectors get more chances to look accidentally alike.
In part 2 of our research study on the scalability limits of bundling, we use probability theory to estimate that risk, then test the predictions with controlled experiments. 🧵👇🏽
hyperdimensionalcomputing.ai…
1/6






