Rick Kuperman

The insane phsyical preparation in sepak takraw

A new documentary exec produced by Sam Harris, "Unraveling the Dream," traces the full arc of psychedelic science: from early pioneers, through the dark years, to today's renaissance. What do these states reveal about the mind? Link below.

THE GREATEST RUN IN HISTORY 🤯 Sabastian Sawe takes OVER A MINUTE off the world record in the marathon and becomes the first-ever sub-2 hour runner in an official race with a 1:59:30 victory over Yomif Kejelcha, who also breaks two hours in his debut marathon, running 1:59:41 for second. Sawe is now 4 for 4 with marathon victories. After the leaders hit halfway in 60:29, Sawe ran 59:01 FOR HIS SECOND HALF as he and Kejelcha worked together to drop third placer Jacob Kiplimo, who himself ran 2:00:28 to finish under Kelvin Kiptum’s old WR mark.

There are no words.

Our official main stage brings together 1,000+ of Canada's top builders from around the world. Featuring @tobi @andrewgordonmac @nickfrosst @lucyhargreaves4 @Sirupsen @MaxBrodeurUrbas @ElainaYallen @EliotPence @mitrymin @Alex_Danco and more. Limited in-person tickets. Request access ➡ luma.com/TTWHomecoming

Max Hodak (@maxhodak_) is the co-founder of Neuralink and founder of @ScienceCorp_, a company building brain-computer interfaces that can restore sight. Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have already received the treatment in clinical trials, including one who recently read a full novel for the first time in over a decade. In this episode of How to Build the Future, Max joined @garrytan to discuss how BCIs work, what it takes to engineer the brain, and why brain-computer interfaces may become one of the most important technologies of the next decade. 00:26 — The retinal chip helping blind patients see 01:51 — What brain-computer interfaces really are 03:37 — Could BCIs enhance intelligence? 05:44 — The brain’s incredible plasticity 09:23 — What it feels like to see with an implant 13:01 — Can we restore full human vision? 17:55 — Is the brain basically a computer? 24:59 — Max Hodak’s path into brain tech 28:57 — How Neuralink actually started 33:10 — How the brain represents information 39:47 — Bio-hybrid brain interfaces 44:32 — Building the company Science 51:27 — The future of BCIs and human longevity

I spent last night with Andrew Strominger and Alex Lupsasca, two of the top physicists in the world They just released a paper, co-authored with OpenAi, that seems to me like ASI Andrew, who helped develop string theory, told me that a year ago, his view was that he didn’t know how helpful AI was going to be. A year later, after some back and forth with GPT 5.2 pro, they submitted a final query to an internal model which solved AND proved a previously unsolved problem in quantum field theory…in 12 hours. A model, doing something two of the smartest people in the world in their field couldn’t do. And, when I was with them, they were giddy with excitement for what might lay ahead. Andy said “It is the first time I’ve seen AI solve a problem in my kind of theoretical physics that might not have been solvable by humans.” They said, “two things changed: the model improved and we figured out how to talk to it.” Andy also told me “I also now feel that with the recent advances, most physicists who want to keep up with the frontiers of progress will need to learn how to talk to it. That wasn’t true a year ago.” ASI is here, just not evenly distributed.

Congrats on the launch @simile_ai ! (and I am excited to be involved as a small angel.) Simile is working on a really interesting, imo under-explored dimension of LLMs. Usually, the LLMs you talk to have a single, specific, crafted personality. But in principle, the native, primordial form of a pretrained LLM is that it is a simulation engine trained over the text of a highly diverse population of people on the internet. Why not lean into that statistical power: Why simulate one "person" when you could try to simulate a population? How do you build such a simulator? How do you manage its entropy? How faithful is it? How can it be useful? What emergent properties might arise of similes in loops? Imo these are very interesting, promising and under-explored topics and the team here is great. All the best!

This speed reading training starts at 300 words per minute and end at 900 wpm. Can you read them all? x.com/fluxfolio_/sta…

Kini, P., Wong, J., McInnis, S., Gabana, N., & Brown, J. W. (2016), «The effects of gratitude expression on neural activity», NeuroImage, 128, 1–10. DOI: 10.1016/j.neuroimage.2015.12.040

Our model can now learn from its own experience with RL! Our new π*0.6 model can more than double throughput over a base model trained without RL, and can perform real-world tasks: making espresso drinks, folding diverse laundry, and assembling boxes. More in the thread below.

There's a place in the Mauritius, where a runoff of sand deposits creates an illusion of an underwater waterfall. You’ll find this natural wonder to the southwest of Mauritius, offshore of Le Morne Peninsula.

How different martial art styles avoid obstacles 🤪

Seems like a good time for an update on a graph from my 2015 post on AI.

Tristan Harris's TED talk is amazing. He's been right all along, about the attention economy and incentives that make social media so destructive. Now he lays out the far larger risks of AI, and the "narrow path" that might get us through. @HumaneTech_ ted.com/talks/tristan_…

«The best thing I’ve learned this week is that when squirrels fall - they land like superheroes»

We can in stop arguing about whether AI can pass the Turing test:

Stealing the Moon. [📸 Daniel Antonio]

Mustafa, Cindy Lee and more: The Canadians who made their mark in the arts world in 2024 theglobeandmail.com/arts/article-c…