@mattmotoki Profile picture

Matt Motoki

@mattmotoki

I’m addicted to independence

Joined October 2017
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We reconcile our world models in the least painful way possible.


Yes 100%

indecision is terribly ugly. move to that city. marry that woman. start that company. you can just do things.



We are all unique, and I believe Pareto optimal when measured across enough dimensions.


N(knowledge) > N(understanding) > N(action) V(knowledge) < V(understanding) < V(action)


Matt Motoki Reposted

💡Teams provided solutions for behind-the-meter coordination of distributed energy resources in single-family homes based on real-world data & the CityLearn Open AI Gym environment. 📹 Watch the winners present their solution at NeurIPS 2022 Workshop. youtu.be/Yel5zybmvwg


When I think about history and I look at my nephew, I realize that the human race is still young and we still have a lot to learn.


Matt Motoki Reposted

🎥Modern Artificial Intelligence 1980s - 2021 by @SchmidhuberAI! This talk delivers! 🙂 ✅ starts with the Big Bang (literally) ✅ history of everything explained in the first 10 minutes ✅ only accelerates from there 🙂 👉 gtc21.event.nvidia.com/media/1_t3thb4… Here is what I learned...

radekosmulski's tweet image. 🎥Modern Artificial Intelligence 1980s - 2021 by @SchmidhuberAI!

This talk delivers! 🙂

✅ starts with the Big Bang (literally)
✅ history of everything explained in the first 10 minutes
✅ only accelerates from there 🙂

👉 <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/Ya7NwvRaTq">gtc21.event.nvidia.com/media/1_t3thb4…</a>

Here is what I learned...

Matt Motoki Reposted

Wildfire detection at high resolution now easier to share


Matt Motoki Reposted

The Bias-Variance Trade-Off & "DOUBLE DESCENT" 🧵 Remember the bias-variance trade-off? It says that models perform well for an "intermediate level of flexibility". You've seen the picture of the U-shape test error curve. We try to hit the "sweet spot" of flexibility. 1/🧵

daniela_witten's tweet image. The Bias-Variance Trade-Off &amp; "DOUBLE DESCENT" 🧵

Remember the bias-variance trade-off? It says that models  perform well for an "intermediate level of flexibility".  You've seen the picture of the U-shape test error curve.

We try to hit the "sweet spot" of flexibility.

1/🧵

Matt Motoki Reposted

TIL party parrots are real and not just the most fantastic slack reacji possible 🤯


Matt Motoki Reposted

What's there to consider at an early-stage startup when building ML for production systems? Happy to share our first ML engineering-focused blog post here at @ToucanAI: toucanai.com/blog/post/buil…


Matt Motoki Reposted

ASHRAEコンペの1st place solution を公開しました kaggle.com/c/ashrae-energ…


Matt Motoki Reposted

I submitted some selfies to the ImageNet Roulette neural network, which was trained on categories from the ImageNet dataset. The results were surprising, but inspired me to make an infographic about how concepts from statistics could help us do better. Please retweet!

kareem_carr's tweet image. I submitted some selfies to the ImageNet Roulette neural network, which was trained on categories from the ImageNet dataset. The results were surprising, but inspired me to make an infographic about how concepts from statistics could help us do better. Please retweet!

Matt Motoki Reposted

"Be honest with yourself about where your project is in this hierarchy. If your program doesn't run, there's no point in making it faster." -@seibert #SciPy2019

dillonniederhut's tweet image. "Be honest with yourself about where your project is in this hierarchy. If your program doesn't run, there's no point in making it faster."

-@seibert #SciPy2019

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